Electric power has become a vital element for life today. Despite this importance, electric power consumers in Iraq suffer from the problem of noncontinuity and daily electric power supply interruption. This problem led to the use of various sources of electric power as an alternative to compensate for the shortage of electric power provided by the Iraqi national grid. In this work, a smart wireless changeover device is designed using wireless sensor networks technology aiming to solve problem caused by the multiplicity of power sources received at home and governmental buildings in Iraq by controlling operation of some electrical devices (which consume high current) in the home or workplace automatically when changing source of electricity from one to another. This solution will help to ensure the continuity of electric current feeding from power sources of variable capacities, also, to rationalize power consumption by assigning an operation priority to electric devices. Furthermore, a statistical measurement as a case study was performed in a building with a total power consumption of 160.8 KW/h. The result showed that the device functions effectively and it is capable of achieving an average saving in power of about 50% to 86% depending on the applied priorities and case study scenario.
1. The document describes an IoT-based power monitoring device that is installed in a distribution box to allow users to monitor their electricity usage. The device uses an Arduino NodeMCU, current sensor, and connects to a Blynk mobile app.
2. The device is installed on each miniature circuit breaker to monitor output for different circuits. It provides notifications on overcurrent, overvoltage, and overload conditions through the Blynk app.
3. Experimental results showed the device was able to monitor and display current, voltage, power usage and cost in real-time on the Blynk app, helping users better understand and reduce their electricity consumption.
System of smart detection and control to electrical energy for saving of elec...journalBEEI
Public campus has a mandate to saving of electrical energy. Electrical energy consumption is often wasteful in building. There is tendency wasteful by user. Electronic equipment is often still turn on at idle time. Only a few students want to turn off the equipment and shut down the computer. Saving of electrical energy is not only at idle time but it can be improved into operational hour. It is not depending on idle time or operational hours, but depends on human presence. Implementation of electrical energy saving has to be supported by frugal behavior and equipment technology. In this study, we name system of smart detection and control to electrical energy (Sisdece). This system is consist of hardware and software. Hardware applies passive infrared sensor (PIR) sensor, wireless sensor network (WSN), microcontroller ESP32, access point, relay. Software use C++, hypertext preprocessor (PHP), hypertext markup language (HTML) and android studio. Result of measurement has been done in a month during November 2020. Average of energy saved is 12.51 kWh and total of electrical energy is 105.86 kWh. Comparison of energy saved to electrical energy is 11.81%. This is a significant reduction to electrical bill. The result is expected as benchmark of electrical energy management in Politeknik Negeri Medan (POLMED).
IRJET- A Smart Monitoring System for Hybrid Energy System using IoTIRJET Journal
This document describes a smart monitoring system for a hybrid energy system using IoT. The system uses solar and wind energy sources and can switch between them without inconvenience through an Android app and WiFi module. An ESP32 microcontroller module transmits and receives electrical data wirelessly from the app and monitors the system. Users can control the energy sources remotely through the app in a flexible and secure manner. The system provides an efficient, cheaper, and flexible way to control hybrid energy sources manually and remotely.
IRJET- Overloading Detection in Residentional AreaIRJET Journal
The document summarizes a proposed system for detecting overloading in residential areas. Current sensors measure incoming and outgoing current from an energy meter. If outgoing current is greater than incoming, overloading occurs. The currents are compared using Arduino programming. If overloading is detected, warning SMS are sent to the utility and consumer via GSM. The supply is then cut off by a relay. The system aims to prevent losses from transformer overloading due to electricity theft or excessive usage.
An efficient and improved model for power theft detection in PakistanjournalBEEI
This paper describes an improved model for the monitoring of power used by a party such as household users and different industries in Pakistan. The power theft detection was done using the intelligent internet of things (IoT) service system for calculating the user's power simultaneously. The power meter catches a theft detection device that is instantly transmitted to the central system which compares both the data by means of microcontroller and if there is any difference found, it informs the power utility about the hooking, meter relief or theft activities happen. Information of the theft detection through the global mobile communications system is transmitted and notified theft is displayed on the terminal monitor or won. As a result, although consumers continue to use excess fuel, the customer's power supply is cut in the electricity boards segment. The general radio package module system sends central circuit and meter data via an internet protocol address to a web server. GSM's IoT based perception is used to monitor the power supply and billing information calculated with a microcontroller continuously with the determination of the electricity table area. With this unit, the duplicate user can be located at the rear of the electricity office with the power meter status.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
This document summarizes an intelligence digital energy meter system that uses an Arduino microcontroller to automatically monitor energy consumption and cut power if bills are unpaid. The system includes current sensors to measure load consumption, a GSM module to send alert messages to users, and relays connected to the Arduino to remotely disconnect power. It aims to reduce losses from unpaid bills by remotely disconnecting power after sending alert messages. The system could help electricity providers better monitor usage and cut down on manual disconnection of unpaid services.
Design a smart control strategy to implement an intelligentAnggara Nasution
This research article proposes an intelligent energy safety and management system (IESMS) that uses RFID and ZigBee wireless sensor network technologies. The system identifies users, monitors and controls power outlets, and cuts off power when the RFID card is removed. It also implements a smart control strategy to prevent electrical circuit overload by shutting down some power outlets. Test results validated the effectiveness of the proposed IESMS and its ability to achieve energy savings and safety.
1. The document describes an IoT-based power monitoring device that is installed in a distribution box to allow users to monitor their electricity usage. The device uses an Arduino NodeMCU, current sensor, and connects to a Blynk mobile app.
2. The device is installed on each miniature circuit breaker to monitor output for different circuits. It provides notifications on overcurrent, overvoltage, and overload conditions through the Blynk app.
3. Experimental results showed the device was able to monitor and display current, voltage, power usage and cost in real-time on the Blynk app, helping users better understand and reduce their electricity consumption.
System of smart detection and control to electrical energy for saving of elec...journalBEEI
Public campus has a mandate to saving of electrical energy. Electrical energy consumption is often wasteful in building. There is tendency wasteful by user. Electronic equipment is often still turn on at idle time. Only a few students want to turn off the equipment and shut down the computer. Saving of electrical energy is not only at idle time but it can be improved into operational hour. It is not depending on idle time or operational hours, but depends on human presence. Implementation of electrical energy saving has to be supported by frugal behavior and equipment technology. In this study, we name system of smart detection and control to electrical energy (Sisdece). This system is consist of hardware and software. Hardware applies passive infrared sensor (PIR) sensor, wireless sensor network (WSN), microcontroller ESP32, access point, relay. Software use C++, hypertext preprocessor (PHP), hypertext markup language (HTML) and android studio. Result of measurement has been done in a month during November 2020. Average of energy saved is 12.51 kWh and total of electrical energy is 105.86 kWh. Comparison of energy saved to electrical energy is 11.81%. This is a significant reduction to electrical bill. The result is expected as benchmark of electrical energy management in Politeknik Negeri Medan (POLMED).
IRJET- A Smart Monitoring System for Hybrid Energy System using IoTIRJET Journal
This document describes a smart monitoring system for a hybrid energy system using IoT. The system uses solar and wind energy sources and can switch between them without inconvenience through an Android app and WiFi module. An ESP32 microcontroller module transmits and receives electrical data wirelessly from the app and monitors the system. Users can control the energy sources remotely through the app in a flexible and secure manner. The system provides an efficient, cheaper, and flexible way to control hybrid energy sources manually and remotely.
IRJET- Overloading Detection in Residentional AreaIRJET Journal
The document summarizes a proposed system for detecting overloading in residential areas. Current sensors measure incoming and outgoing current from an energy meter. If outgoing current is greater than incoming, overloading occurs. The currents are compared using Arduino programming. If overloading is detected, warning SMS are sent to the utility and consumer via GSM. The supply is then cut off by a relay. The system aims to prevent losses from transformer overloading due to electricity theft or excessive usage.
An efficient and improved model for power theft detection in PakistanjournalBEEI
This paper describes an improved model for the monitoring of power used by a party such as household users and different industries in Pakistan. The power theft detection was done using the intelligent internet of things (IoT) service system for calculating the user's power simultaneously. The power meter catches a theft detection device that is instantly transmitted to the central system which compares both the data by means of microcontroller and if there is any difference found, it informs the power utility about the hooking, meter relief or theft activities happen. Information of the theft detection through the global mobile communications system is transmitted and notified theft is displayed on the terminal monitor or won. As a result, although consumers continue to use excess fuel, the customer's power supply is cut in the electricity boards segment. The general radio package module system sends central circuit and meter data via an internet protocol address to a web server. GSM's IoT based perception is used to monitor the power supply and billing information calculated with a microcontroller continuously with the determination of the electricity table area. With this unit, the duplicate user can be located at the rear of the electricity office with the power meter status.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
This document summarizes an intelligence digital energy meter system that uses an Arduino microcontroller to automatically monitor energy consumption and cut power if bills are unpaid. The system includes current sensors to measure load consumption, a GSM module to send alert messages to users, and relays connected to the Arduino to remotely disconnect power. It aims to reduce losses from unpaid bills by remotely disconnecting power after sending alert messages. The system could help electricity providers better monitor usage and cut down on manual disconnection of unpaid services.
Design a smart control strategy to implement an intelligentAnggara Nasution
This research article proposes an intelligent energy safety and management system (IESMS) that uses RFID and ZigBee wireless sensor network technologies. The system identifies users, monitors and controls power outlets, and cuts off power when the RFID card is removed. It also implements a smart control strategy to prevent electrical circuit overload by shutting down some power outlets. Test results validated the effectiveness of the proposed IESMS and its ability to achieve energy savings and safety.
This document describes the design and development of a low-cost security alarm system using optoelectronic devices. The system uses an oscillator circuit to generate a frequency that is spread around an area by a photo transistor sensor. When an unauthorized entry is detected, the sensor sends a signal to an amplifier and then to a speaker, which produces an alarm sound. The system operates using an external power supply, with a battery as a backup power source. The document provides details on the design of the oscillator circuit, sensor, amplifier, power supply, and other components. It also discusses testing conducted and concludes the system provides a simple, effective and affordable way to monitor for intruders in homes, businesses and other locations.
The document describes a power consumption alert system that aims to make consumers aware of their electricity usage and costs. The system monitors energy consumption using a sensor connected to the energy meter. It sends usage data to a microcontroller that determines costs and compares it to a threshold. When the threshold is reached, the consumer is notified via SMS and a mobile/web app that generates daily, weekly, and monthly usage reports. The system cuts power if the maximum limit is exceeded and notifies the consumer. It aims to help consumers reduce electricity bills and curb unusual power usage, benefiting both consumers and the government.
IRJET- Automatic Electric Meter Reading using WifiIRJET Journal
This document describes a project to implement automatic electric meter reading using WiFi. A PIC microcontroller is used to continuously monitor an energy meter and record readings in memory. The live meter reading can then be sent to the electricity department upon request via WiFi. The system allows for remote monitoring and control of domestic energy meters without needing to physically visit each house to take readings. It calculates the exact billing amount and sends it to the electricity board server. If the bill is not paid within 10 days, the microcontroller can automatically disconnect the power supply. The system aims to reduce human errors in meter reading and billing processing while providing more accurate and timely billing to consumers.
Design and Implementation of Wireless Sensor Node for WSN for Automatic Meter...paperpublications3
Abstract:Deploying an embedded technology, a wireless sensor node is designed and implemented for establishment of Wireless Sensor Network (WSN) for automatic meter reading. The amount of power consumed by the load is extracted by passing the respective current through 1Ohm resistor. The analog voltage observed across it is digitized by employing on chip ADC of AVR Atmega 8L microcontroller. The ADC of 10 bit resolution helps to enhance preciseness in the data. Using principle of energy meter, the power consumed is determined and depicted in the terms of watts and units as well. An embedded firmware is developed by employing CodeVisionAVR, the IDE, which is dedicated for AVR family of microcontrollers. Employing an ubiquitous technology, the Zigbee technology, RF communication is established at 2.4GHz of ISM band. The Zigbee RF module is interfaced to the system and programmed by using X-CTU. Each node (End Devices) is assigned with its own ID and disseminates the data to the co-ordinator node, which is interfaced to the base station. The present wireless sensor network is operating in star technology and following IEEE 802.15.4 standards, it is operating with great reliability. The WSN is suitable for electric power distribution and control boards.
Keyword:Automatic Meter Reading, AVR Microcontroller, Embedded technology, IEEE802.15.4, WSN, Zigbee technology.
IRJET- Iot Based Smart Energy MonitoringIRJET Journal
This document describes an IOT-based smart energy monitoring system that uses an Arduino microcontroller and ESP8266 WiFi module. The system measures energy consumption in watts using a current sensor and displays the readings on an LCD screen and online via a webpage. It allows users to remotely monitor energy usage in real-time. If energy usage exceeds a threshold, the system can detect theft. The system aims to automate meter readings, optimize energy usage, and reduce wastage by providing usage data to consumers.
This document presents a design for an IoT-based smart energy meter. Key features include:
1) The energy meter measures energy consumption and transmits readings to a cloud platform via an Arduino, ESP8266 WiFi module, and ThingSpeak. This allows for automatic remote meter reading and billing.
2) Additional features include consumption thresholds that trigger alerts and automatic power cuts, helping users monitor and reduce energy usage.
3) The smart meter is intended to address issues with traditional meters like manual readings prone to errors, lack of remote monitoring, and inability to detect transmission line faults.
Development of Android Controlled AC Dim Lightijtsrd
The light level in a room has a huge effect on one's mood and productivity. Lighting can contribute to your alertness and awakeness in the mornings, and it can either entice you to feel tired or keep you up all night. With all of these discoveries on the effects of lighting, it is becoming more and more important to be able to control lighting. In this paper, Bluetooth controlled AC dim light is constructed using TRIAC. The android application is developed using JDK in Android Eclipse which will control the on off function of the light bulb. Bluetooth wireless communication has been rising in popularity nowadays due to its low cost and wide range of applications. Moreover, most modern phones have Bluetooth, making it excellent controllers for Bluetooth supported devices. Serial data sent from the Android application is received by the Bluetooth receiver interfaced to the Arduino. Zero cross detection method is used for TRIAC gate trigger and Arduino uses serial data to generate appropriate pulses at a specific angle for TRIAC. Isolation between Arduino and ac source is considered and overall system is implemented using simulation and practical approaches. Zaw Min Min Htun | Kyaw Zin Latt | Myo Maung Maung "Development of Android Controlled AC Dim Light" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd27965.pdfPaper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/27965/development-of-android-controlled-ac-dim-light/zaw-min-min-htun
In The Name Of Allah, the Beneficent the Merciful Designing a Low Cost Devic...IOSR Journals
1) The document proposes a low-cost device to detect electricity theft by connecting current transformers to the phase and neutral lines and an IR sensor to the meter disk.
2) If a difference is detected between the phase and neutral currents, or if the IR sensor output doesn't match normal disk rotation, the microcontroller will open the relay to disconnect the power supply to the load.
3) This proposed device aims to automatically cut off power in cases of meter tampering or theft, which could help reduce system losses in the electricity sector and strengthen a country's economy.
Development and Performance Evaluation of an Intelligent Electric Power Switc...YogeshIJTSRD
The research work deal with automatic control system to switch ON or add OFF predetermined energy source. The automatic system ON or add OFF consists of both AC and DC voltage sensor, uninterrupted DC power supply, relay switches, generator choke control, microcontroller and indicators. Popoola A. I | Akinpelu E. O | Ewetumo T "Development and Performance Evaluation of an Intelligent Electric Power Switching System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3 , April 2021, URL: https://www.ijtsrd.com/papers/ijtsrd38483.pdf Paper URL: https://www.ijtsrd.com/engineering/electrical-engineering/38483/development-and-performance-evaluation-of-an-intelligent-electric-power-switching-system/popoola-a-i
IOT BASED POWER GRID MONITORING & CONTROL SYSTEMvivatechijri
Energy generation corporations provide electricity to any or all the households via intermediate controlled power transmission hubs referred to as Electricity Grid. Generally issues arise thanks to failure of the electricity grid resulting in black out of a complete space that was obtaining provide from that individual grid. This project aims to resolve this downside victimization IOT because the means that of communication and conjointly coping with numerous alternative problems that a wise system will traumatize to avoid needless losses to the Energy producers.
IRJET - Smart Power Monitoring and Controlling through IoTIRJET Journal
The document describes a smart power monitoring and controlling system using IoT. The system uses sensors to monitor power consumption from appliances. It sends the power data to a cloud server using WiFi. This allows users to access the data and control appliances remotely through a mobile app. The system aims to reduce wastage by automatically turning off appliances when not in use, and allowing users to set power limits.
IRJET- IoT and PLC based Home Automation System with PV InverterIRJET Journal
This document describes an IoT and PLC-based home automation system with a PV inverter. The key components are a pure sine wave solar inverter, main PLC control box, control boxes at each switchboard, and an IoT modem. Powerline communication over the existing power lines enables control of home appliances without Wi-Fi. A mobile app allows remote monitoring and control. The system uses an MPPT charge controller and lead-acid battery with the solar panel to efficiently charge the battery. The open source design aims to make inverters more affordable and benefit the engineering community.
This document describes an "Energy Consumption Indicator" system that monitors household energy consumption and notifies consumers when consumption reaches a predefined threshold. The system uses an Arduino Mega microcontroller connected to an energy meter circuit to continuously monitor energy usage parameters like voltage, current and power. When consumption reaches the threshold, the Arduino sends a notification via Raspberry Pi to the consumer's mobile phone using SMS. The goal is to increase consumer awareness of energy usage to help lower electricity bills and reduce excessive consumption. A prototype was built and tested that successfully sent alert messages to a phone when threshold values were reached.
Thank you very much for checking out my presentation.
If you are a student or a faculty of an engineering college and need to create a presentation, you can contact me. Check out my profile to know how.
This project describes about a device, which measures the power consumed by our household devices, using IoT technology.
IRJET - Dynamic Domestic Energy Utility Monitoring and Management using IoTIRJET Journal
This document describes a proposed smart domestic energy monitoring and management system using IoT. The system aims to automatically collect energy meter readings digitally and update them to an IoT server without the need for manual meter reading by utility workers. This is done using an Arduino microcontroller interfaced with energy sensors and connected to the IoT server via WiFi. The system would allow electricity usage details and billing information to be digitally communicated to homeowners. It could help make the billing process more accurate and reduce costs for the electricity department and customers.
The project “Design a Talking Energy Meter based on Microcontroller” is design such that whenever the usage of energy exceeds the threshold value which is set by user, it announces an alert message which was already predefined in the voice circuit. The SMS of monthly billing status is also sends on user’s mobile number which is mentioned in program.
IRJET- IoT based Smart Electricity Meter and Billing SystemIRJET Journal
This document describes a proposed IOT-based smart electricity meter and billing system. The existing system uses manual meter reading and billing which is time-consuming and prone to errors and corruption. The proposed system uses an Arduino microcontroller connected to electricity meters and relays. Sensor data from the meters is sent wirelessly to a cloud server via WiFi/Bluetooth modules. This allows automatic meter reading and billing calculation. Users receive notifications via SMS. Unpaid bills can trigger relays to remotely disconnect power supply. The system aims to improve accuracy, prevent theft, and reduce human involvement in the metering and billing process.
IRJET- IoT based Monitoring and Controlling of Smart Speaking Energy Mete...IRJET Journal
This document describes an IoT-based system for monitoring and controlling a smart speaking energy meter and detecting current theft using a Raspberry Pi 3. The system measures a home's electricity consumption in units using wireless sensors and calculates the bill automatically. It sends the units used and estimated bill to the consumer's registered mobile number through a GSM module. It can also detect tampering with the meter and send alerts. The Raspberry Pi converts the unit consumption and cost into speech to help illiterate and visually impaired users understand their usage and billing. The system aims to eliminate human involvement in electricity monitoring and help consumers track their usage remotely through a cloud-based system accessible anywhere.
IRJET- Smart Energy Meter Theft Detection using IoTIRJET Journal
The document discusses a smart energy meter theft detection system using IoT. It proposes using an Arduino board connected to sensors to monitor two energy meters - one for a paid customer and one for an unpaid customer. If the unpaid customer's usage exceeds a limit, an alert would be sent via WiFi modules. If the customer does not pay their bill, a command would be sent to the server to cut off the unpaid customer's power supply. The system aims to reduce electricity theft and help utilities better monitor energy usage and bill payment.
The document discusses power challenges for Internet of Things (IoT) devices and proposes energy harvesting solutions using piezoelectric transducers. It describes a typical wireless sensor node design with an MCU, sensors and wireless connectivity requiring self-contained power. Piezoelectric materials can convert vibrational energy into electricity. The document outlines a circuit design that uses a piezoelectric generator to charge a capacitor and power the sensor node. It also discusses using an active piezoelectric harvesting technology to improve energy extraction and power wireless sensor networks through ambient vibrations.
IOT BASED UNATTAINED TAMPER PROOF DIGITAL ENERGY METERIRJET Journal
This document summarizes an IOT-based tamper-proof digital energy meter project. The key points are:
1) An electronic energy meter generates pulses based on energy consumption which are converted to digital data and sent to a smartphone via an Arduino board and WiFi module.
2) The energy meter is mounted on an electric pole out of reach of users to prevent tampering. Users can check their energy usage via a smartphone app instead of a physical meter.
3) The system aims to prevent energy theft by making the meter readings unalterable and accessible remotely through an IOT network instead of installing a meter at user premises.
This document describes the design and development of a low-cost security alarm system using optoelectronic devices. The system uses an oscillator circuit to generate a frequency that is spread around an area by a photo transistor sensor. When an unauthorized entry is detected, the sensor sends a signal to an amplifier and then to a speaker, which produces an alarm sound. The system operates using an external power supply, with a battery as a backup power source. The document provides details on the design of the oscillator circuit, sensor, amplifier, power supply, and other components. It also discusses testing conducted and concludes the system provides a simple, effective and affordable way to monitor for intruders in homes, businesses and other locations.
The document describes a power consumption alert system that aims to make consumers aware of their electricity usage and costs. The system monitors energy consumption using a sensor connected to the energy meter. It sends usage data to a microcontroller that determines costs and compares it to a threshold. When the threshold is reached, the consumer is notified via SMS and a mobile/web app that generates daily, weekly, and monthly usage reports. The system cuts power if the maximum limit is exceeded and notifies the consumer. It aims to help consumers reduce electricity bills and curb unusual power usage, benefiting both consumers and the government.
IRJET- Automatic Electric Meter Reading using WifiIRJET Journal
This document describes a project to implement automatic electric meter reading using WiFi. A PIC microcontroller is used to continuously monitor an energy meter and record readings in memory. The live meter reading can then be sent to the electricity department upon request via WiFi. The system allows for remote monitoring and control of domestic energy meters without needing to physically visit each house to take readings. It calculates the exact billing amount and sends it to the electricity board server. If the bill is not paid within 10 days, the microcontroller can automatically disconnect the power supply. The system aims to reduce human errors in meter reading and billing processing while providing more accurate and timely billing to consumers.
Design and Implementation of Wireless Sensor Node for WSN for Automatic Meter...paperpublications3
Abstract:Deploying an embedded technology, a wireless sensor node is designed and implemented for establishment of Wireless Sensor Network (WSN) for automatic meter reading. The amount of power consumed by the load is extracted by passing the respective current through 1Ohm resistor. The analog voltage observed across it is digitized by employing on chip ADC of AVR Atmega 8L microcontroller. The ADC of 10 bit resolution helps to enhance preciseness in the data. Using principle of energy meter, the power consumed is determined and depicted in the terms of watts and units as well. An embedded firmware is developed by employing CodeVisionAVR, the IDE, which is dedicated for AVR family of microcontrollers. Employing an ubiquitous technology, the Zigbee technology, RF communication is established at 2.4GHz of ISM band. The Zigbee RF module is interfaced to the system and programmed by using X-CTU. Each node (End Devices) is assigned with its own ID and disseminates the data to the co-ordinator node, which is interfaced to the base station. The present wireless sensor network is operating in star technology and following IEEE 802.15.4 standards, it is operating with great reliability. The WSN is suitable for electric power distribution and control boards.
Keyword:Automatic Meter Reading, AVR Microcontroller, Embedded technology, IEEE802.15.4, WSN, Zigbee technology.
IRJET- Iot Based Smart Energy MonitoringIRJET Journal
This document describes an IOT-based smart energy monitoring system that uses an Arduino microcontroller and ESP8266 WiFi module. The system measures energy consumption in watts using a current sensor and displays the readings on an LCD screen and online via a webpage. It allows users to remotely monitor energy usage in real-time. If energy usage exceeds a threshold, the system can detect theft. The system aims to automate meter readings, optimize energy usage, and reduce wastage by providing usage data to consumers.
This document presents a design for an IoT-based smart energy meter. Key features include:
1) The energy meter measures energy consumption and transmits readings to a cloud platform via an Arduino, ESP8266 WiFi module, and ThingSpeak. This allows for automatic remote meter reading and billing.
2) Additional features include consumption thresholds that trigger alerts and automatic power cuts, helping users monitor and reduce energy usage.
3) The smart meter is intended to address issues with traditional meters like manual readings prone to errors, lack of remote monitoring, and inability to detect transmission line faults.
Development of Android Controlled AC Dim Lightijtsrd
The light level in a room has a huge effect on one's mood and productivity. Lighting can contribute to your alertness and awakeness in the mornings, and it can either entice you to feel tired or keep you up all night. With all of these discoveries on the effects of lighting, it is becoming more and more important to be able to control lighting. In this paper, Bluetooth controlled AC dim light is constructed using TRIAC. The android application is developed using JDK in Android Eclipse which will control the on off function of the light bulb. Bluetooth wireless communication has been rising in popularity nowadays due to its low cost and wide range of applications. Moreover, most modern phones have Bluetooth, making it excellent controllers for Bluetooth supported devices. Serial data sent from the Android application is received by the Bluetooth receiver interfaced to the Arduino. Zero cross detection method is used for TRIAC gate trigger and Arduino uses serial data to generate appropriate pulses at a specific angle for TRIAC. Isolation between Arduino and ac source is considered and overall system is implemented using simulation and practical approaches. Zaw Min Min Htun | Kyaw Zin Latt | Myo Maung Maung "Development of Android Controlled AC Dim Light" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd27965.pdfPaper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/27965/development-of-android-controlled-ac-dim-light/zaw-min-min-htun
In The Name Of Allah, the Beneficent the Merciful Designing a Low Cost Devic...IOSR Journals
1) The document proposes a low-cost device to detect electricity theft by connecting current transformers to the phase and neutral lines and an IR sensor to the meter disk.
2) If a difference is detected between the phase and neutral currents, or if the IR sensor output doesn't match normal disk rotation, the microcontroller will open the relay to disconnect the power supply to the load.
3) This proposed device aims to automatically cut off power in cases of meter tampering or theft, which could help reduce system losses in the electricity sector and strengthen a country's economy.
Development and Performance Evaluation of an Intelligent Electric Power Switc...YogeshIJTSRD
The research work deal with automatic control system to switch ON or add OFF predetermined energy source. The automatic system ON or add OFF consists of both AC and DC voltage sensor, uninterrupted DC power supply, relay switches, generator choke control, microcontroller and indicators. Popoola A. I | Akinpelu E. O | Ewetumo T "Development and Performance Evaluation of an Intelligent Electric Power Switching System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3 , April 2021, URL: https://www.ijtsrd.com/papers/ijtsrd38483.pdf Paper URL: https://www.ijtsrd.com/engineering/electrical-engineering/38483/development-and-performance-evaluation-of-an-intelligent-electric-power-switching-system/popoola-a-i
IOT BASED POWER GRID MONITORING & CONTROL SYSTEMvivatechijri
Energy generation corporations provide electricity to any or all the households via intermediate controlled power transmission hubs referred to as Electricity Grid. Generally issues arise thanks to failure of the electricity grid resulting in black out of a complete space that was obtaining provide from that individual grid. This project aims to resolve this downside victimization IOT because the means that of communication and conjointly coping with numerous alternative problems that a wise system will traumatize to avoid needless losses to the Energy producers.
IRJET - Smart Power Monitoring and Controlling through IoTIRJET Journal
The document describes a smart power monitoring and controlling system using IoT. The system uses sensors to monitor power consumption from appliances. It sends the power data to a cloud server using WiFi. This allows users to access the data and control appliances remotely through a mobile app. The system aims to reduce wastage by automatically turning off appliances when not in use, and allowing users to set power limits.
IRJET- IoT and PLC based Home Automation System with PV InverterIRJET Journal
This document describes an IoT and PLC-based home automation system with a PV inverter. The key components are a pure sine wave solar inverter, main PLC control box, control boxes at each switchboard, and an IoT modem. Powerline communication over the existing power lines enables control of home appliances without Wi-Fi. A mobile app allows remote monitoring and control. The system uses an MPPT charge controller and lead-acid battery with the solar panel to efficiently charge the battery. The open source design aims to make inverters more affordable and benefit the engineering community.
This document describes an "Energy Consumption Indicator" system that monitors household energy consumption and notifies consumers when consumption reaches a predefined threshold. The system uses an Arduino Mega microcontroller connected to an energy meter circuit to continuously monitor energy usage parameters like voltage, current and power. When consumption reaches the threshold, the Arduino sends a notification via Raspberry Pi to the consumer's mobile phone using SMS. The goal is to increase consumer awareness of energy usage to help lower electricity bills and reduce excessive consumption. A prototype was built and tested that successfully sent alert messages to a phone when threshold values were reached.
Thank you very much for checking out my presentation.
If you are a student or a faculty of an engineering college and need to create a presentation, you can contact me. Check out my profile to know how.
This project describes about a device, which measures the power consumed by our household devices, using IoT technology.
IRJET - Dynamic Domestic Energy Utility Monitoring and Management using IoTIRJET Journal
This document describes a proposed smart domestic energy monitoring and management system using IoT. The system aims to automatically collect energy meter readings digitally and update them to an IoT server without the need for manual meter reading by utility workers. This is done using an Arduino microcontroller interfaced with energy sensors and connected to the IoT server via WiFi. The system would allow electricity usage details and billing information to be digitally communicated to homeowners. It could help make the billing process more accurate and reduce costs for the electricity department and customers.
The project “Design a Talking Energy Meter based on Microcontroller” is design such that whenever the usage of energy exceeds the threshold value which is set by user, it announces an alert message which was already predefined in the voice circuit. The SMS of monthly billing status is also sends on user’s mobile number which is mentioned in program.
IRJET- IoT based Smart Electricity Meter and Billing SystemIRJET Journal
This document describes a proposed IOT-based smart electricity meter and billing system. The existing system uses manual meter reading and billing which is time-consuming and prone to errors and corruption. The proposed system uses an Arduino microcontroller connected to electricity meters and relays. Sensor data from the meters is sent wirelessly to a cloud server via WiFi/Bluetooth modules. This allows automatic meter reading and billing calculation. Users receive notifications via SMS. Unpaid bills can trigger relays to remotely disconnect power supply. The system aims to improve accuracy, prevent theft, and reduce human involvement in the metering and billing process.
IRJET- IoT based Monitoring and Controlling of Smart Speaking Energy Mete...IRJET Journal
This document describes an IoT-based system for monitoring and controlling a smart speaking energy meter and detecting current theft using a Raspberry Pi 3. The system measures a home's electricity consumption in units using wireless sensors and calculates the bill automatically. It sends the units used and estimated bill to the consumer's registered mobile number through a GSM module. It can also detect tampering with the meter and send alerts. The Raspberry Pi converts the unit consumption and cost into speech to help illiterate and visually impaired users understand their usage and billing. The system aims to eliminate human involvement in electricity monitoring and help consumers track their usage remotely through a cloud-based system accessible anywhere.
IRJET- Smart Energy Meter Theft Detection using IoTIRJET Journal
The document discusses a smart energy meter theft detection system using IoT. It proposes using an Arduino board connected to sensors to monitor two energy meters - one for a paid customer and one for an unpaid customer. If the unpaid customer's usage exceeds a limit, an alert would be sent via WiFi modules. If the customer does not pay their bill, a command would be sent to the server to cut off the unpaid customer's power supply. The system aims to reduce electricity theft and help utilities better monitor energy usage and bill payment.
The document discusses power challenges for Internet of Things (IoT) devices and proposes energy harvesting solutions using piezoelectric transducers. It describes a typical wireless sensor node design with an MCU, sensors and wireless connectivity requiring self-contained power. Piezoelectric materials can convert vibrational energy into electricity. The document outlines a circuit design that uses a piezoelectric generator to charge a capacitor and power the sensor node. It also discusses using an active piezoelectric harvesting technology to improve energy extraction and power wireless sensor networks through ambient vibrations.
IOT BASED UNATTAINED TAMPER PROOF DIGITAL ENERGY METERIRJET Journal
This document summarizes an IOT-based tamper-proof digital energy meter project. The key points are:
1) An electronic energy meter generates pulses based on energy consumption which are converted to digital data and sent to a smartphone via an Arduino board and WiFi module.
2) The energy meter is mounted on an electric pole out of reach of users to prevent tampering. Users can check their energy usage via a smartphone app instead of a physical meter.
3) The system aims to prevent energy theft by making the meter readings unalterable and accessible remotely through an IOT network instead of installing a meter at user premises.
Fair Model for Electricity Billing and Sharing in Shared Apartment in GhanaIRJET Journal
This document proposes a smart monitoring system to fairly determine individual electricity consumption in a shared apartment with a single energy meter. The system is designed using an Arduino Uno microcontroller, PZEM-004T energy metering device, SIM800L GSM module, LCD display, current transformers, and other components. It monitors tenants' electricity usage in real-time and sends SMS notifications at the end of each month with the energy consumed and amount owed by each tenant. The system aims to resolve disputes around electricity bill sharing that commonly occur in shared apartment settings with a single meter.
This document discusses electricity theft detection and presents a proposed solution. It begins with an introduction to electricity monitoring and challenges with theft. It then describes a system to monitor power consumption from a central location using microcontrollers, current sensors, and wireless communication between users and a substation. The system is designed to identify authorized vs unauthorized power usage to help control theft. It provides details of the system design including components, working principle, and a theft detection method based on comparing power sent and consumed. Testing showed the prototype hardware worked satisfactorily for its purpose of informing authorities about theft by detecting excess power usage.
Wireless monitoring and control for smart grid and home appliancesUmayal Saravana Selvan
Secure and efficient communication between human being and managed devices are critical for smart grid and smart home. The power monitoring and controlling is playing a significant role in this project. In this project we proposes a new idea. The power consumption and their tariff amount will be automatically shown in the LCD display. This information will be automatically received to electricity board by using the Zigbee modem. From home we will pay the amount by using smart card system. If the amount is not paid within
the dead time the proposed system will automatically trip power supply from the EB station itself. When the amount is paid electricity board will enable the power supply again automatically.
Wireless power transmission (WPT) has attracted a wide variety of subjects in various disciplines and has also become a highly active research field due to its capacity to facilitate charging systems. Wireless power transmission will be compulsory to use soon as this technology enables electrical energy to be transmitted from a power source to an electrical load over an air gap without connecting wires. Wireless power transmission has been developed in the low power (1W to 10W) and high power (100W-500W) region. While the low power region development focuses on powering medical transplants and mobile charging, the higher end of the power spectrum is being developed for the electric vehicle (EV) applications. However medium power range (10W to 100W) is relatively unexplored due to lack of proper applications. The commercial WPT scheme is mainly used for the charging of lithium-ion batteries. Sensitive medium power loads like Lithium Polymer (LiPo) batteries do not have a wireless modular charging system. This paper discusses a proposed scheme for wireless charging of medium-range loads. LiPo batteries are used as the targeted charging load. A minimalistic approach has been considered while designing the electronics for efficiency improvement and a compact, modular scheme. The proposed scheme has been developed for drone and robotics applications and the results are validated.
Dr. R. RAJA presented on the concept of power electronics. Power electronics is a hybrid field that combines power engineering, electronics, semiconductor devices, and control systems. It allows electrical energy to be regulated and converted into usable forms like motion, light, and heat. The development of silicon controlled rectifiers in 1958 was a major advancement, allowing more effective control of electrical energy than previous technologies. Power electronics devices act as switches that are either fully on with zero voltage drop and full current, or fully off with zero current and full voltage drop. Proper thermal management is important due to power losses during switching and in the on and off states. Power electronic systems also require control and feedback circuits to regulate the output as desired for applications
The document discusses an IoT-based smart energy grid system. It describes how IoT technologies can transform conventional power systems into smarter energy grids by enabling two-way communication between energy providers and consumers. This allows for more efficient, reliable and secure management of energy supply and demand. However, integrating IoT also introduces new security vulnerabilities that must be addressed, such as potential cyberattacks. Advanced technologies like blockchain, machine learning and AI could help secure IoT-enabled energy systems.
The document discusses an IoT-based smart energy grid system. It describes how IoT technologies can transform conventional power systems into smarter energy grids by enabling two-way communication between energy providers and consumers. This allows for more efficient, reliable and secure management of energy supply and demand. However, integrating IoT also introduces new security vulnerabilities that must be addressed, such as potential cyberattacks. Advanced technologies like blockchain, machine learning and AI could help secure IoT-enabled energy systems.
Agriculture Power Station Circuit Breaker using LTE CommunicationIRJET Journal
This document summarizes a research paper on developing a mobile application to remotely control agricultural power stations and circuit breakers using LTE communication. The system aims to address the issue of farmers risking their lives when needing to manually turn off power stations during thunderstorms or other hazardous conditions. It describes how farmers frequently die from electrocution due to faults in electrical lines on agricultural fields. The proposed mobile app would allow farmers to operate power stations safely from a distance by integrating circuit breakers, an LTE module, database API and Raspberry Pi for automation and remote control via a user-friendly interface.
Instant Access of Power Usage through IP Enabled Electronic Power MeterIJERD Editor
Nowadays Electrical Energy is a vital resource for human being for their day to day activities. It is
very important to know the usage of electricity to regulate the consumption. The power usage is a very
important criterion in places like domestic purpose, industries, public places, etc. At the end of every month as
soon as the electricity bill arrives we may be surprised because of over usage, we may get more bill amount and
in turn electrical board may demand us pay more ASD (Advanced security deposit). To overcome this problem
we propose the new idea of enabling the digital meters to send the instant power usage statistics through
Internet. It is very important to know about the basic knowledge of what is electricity meter, how to measure the
amount of electrical energy (in watt hour [Wh] units), and power consumption by house hold equipments or
devices. We should also know the tariff of the Electrical board for each unit in various domains. By using all
these data we can provide an effective regulation of power usage and in turn which leads to expected electrical
bill amount. This paper gives a new approach towards instant access of power usage details through IP enabled
electronic meter to minimize or reduce the day to day electrical power consumption.
POWER CONSUMPTION DETECTING AND ALERTING SYSTEMIRJET Journal
This document describes a power consumption detecting and alerting system. The system continuously monitors home appliance power consumption and calculates unit usage to alert consumers when they are close to exceeding the current electricity rate slab. When the slab rate threshold is reached, auxiliary loads will automatically be cut off and a message will be sent to the consumer. The system aims to help consumers efficiently use power from the grid and maintain a low electricity bill. It uses components like a microcontroller, relays, LCD display, step-down transformer, buzzer, and potentiometer. The system works by measuring power usage, calculating units, and sending alerts via buzzer and messages if the slab rate is approached or exceeded to encourage reduced consumption.
IRJET- Microcontroller based Automatic Power Change Over MechanismIRJET Journal
This document summarizes a research paper on an automatic power changeover mechanism using a microcontroller. The system is designed to automatically switch power sources between solar, mains electricity, and a diesel generator based on availability to ensure a continuous and reliable power supply. It uses components like a transformer, rectifier, regulator, comparator, and relays controlled by a microcontroller. The switching time is fast compared to manual changeover systems due to the use of electronic components. The system is intended to reduce costs by prioritizing solar power and switching to mains electricity when available before using the diesel generator.
IRJET- Electric Car Charging Station: A ReviewIRJET Journal
This document reviews an electric car charging station model that was designed. It contains 3 sentences summarizing the key points:
The charging station model uses various electronic components like a step-down transformer, bridge rectifier, Arduino, dual power supply, battery, energy meter, and LCD display to convert high voltage to low voltage for charging electric vehicle batteries. It analyzes the performance of the charging station and discusses the growth of the electric car industry and increasing demand for charging stations. The document provides a circuit diagram and descriptions of the various components used in the charging station design.
This document describes a domestic energy saver system that uses a GSM modem to monitor household electricity consumption and send SMS alerts when usage exceeds a specified limit. The system includes a microcontroller interfaced with an energy meter to monitor usage. When consumption exceeds the limit, the microcontroller sends an SMS via the GSM modem. Users can then send an SMS back to shed certain loads and reduce usage. The system aims to increase power quality, reduce theft and waste, and help users maintain a more consistent electric bill. Key components are the microcontroller, energy meter interface, GSM modem, relays to control loads, and an LCD for display.
Wireless electric energy transmission system and its recording system using ...nooriasukmaningtyas
Electrical energy can not be separated from the name kWh Meter, a tool used to measure and record the amount of electrical energy usage has a shortage of kWh meters can not be monitored remotely how much energy is used, so it is rather inconvenient for PLN officials to check the use of electricity for postpaid customers. This research was conducted to design a prototype of a wireless electrical energy transmission system and design a wireless electrical energy recording system using the NRF24L01 wireless transmitter module and the PZEM004T kWh meter module. The design in this study uses the principle of electromagnetic induction to transfer electrical energy at close range, while to transmit data, the authors use the NRF24L01 module. Besides, the authors use the PZEM004T module to measure various magnitudes. Based on the results of observations and measurements of the design of the tool, the authors found that the transmission of electrical energy using electromagnetic induction is not effective for longer distances because the energy lost in the air is getting bigger. So this technology needs to be further investigated. Besides, the measurement of electrical quantities using the PZEM module has a small difference (under 2%) with measurements using a multimeter, so it can be said that the measurement with the PZEM004T module is effective.
Implementation of modular MPPT algorithm for energy harvesting embedded and I...IJECEIAES
The establishment of the latest IoT systems available today such as smart cities, smart buildings, and smart homes and wireless sensor networks (WSNs) are let the main design restriction on the inadequate supply of battery power. Hence proposing a solar-based photovoltaic (PV) system which is designed DC-DC buck-boost converter with an improved modular maximum power point tracking (MPPT) algorithm. The output voltage depends on the inductor, capacitor values, metal oxide semiconductor field effect transistor (MOSFET) switching frequency, and duty cycle. This paper focuses on the design and simulation of min ripple current/voltage and improved efficiency at PV array output, to store DC power. The stored DC power will be used for smart IoT systems. From the simulation results, the current ripples are observed to be minimized from 0.062 A to 0.02 A maintaining the duty cycle at 61.09 for switching frequencies ranges from 300 kHz to 10 MHz at the input voltage 48 V and the output voltage in buck mode 24 V, boost mode 100 V by maintaining constant 99.7 efficiencies. The improvised approach is compared to various existed techniques. It is noticed that the results are more useful for the self-powered Embedded & Internet of Things systems.
Abstract: We need energy for every day today work of our life. There are many conventional methods of energy generation but these are depleting very fastly hence non-conventional energy system is very essential at this time to our nation. So an alternate method of non conventional energy generation is proposed in this project. In this project we are generating electrical power as non-conventional method by simply walking or running on foot step.Here Dynamometer is used for converting mechanical energy into electrical energy. The voltage generated by this sensor is stored in battery which will be later on transmitted wirelessly to charge the mobiles.
This study was carried out to monitor the consumption of electricity. It is aimed to develop an electricity meter where people can observe how much power is consumed and follow up in homes, workplaces, factories, etc. where electricity is consumed. A current transformer was used to perform measurement operations. An LCD screen is used to observe the power values. Thanks to the developed codes, values such as instantaneous current, instantaneous power, kilowatt hours used have become observable on the LCD screen. Abdülkadir Çakir "Single Phase Electricity Meter" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-7 , December 2022, URL: https://www.ijtsrd.com/papers/ijtsrd52457.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/52457/single-phase-electricity-meter/abdülkadir-çakir
Similar to Design of smart wireless changeover for continuous electric current feeding from power sources of variable capacities (20)
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Neural network optimizer of proportional-integral-differential controller par...IJECEIAES
Wide application of proportional-integral-differential (PID)-regulator in industry requires constant improvement of methods of its parameters adjustment. The paper deals with the issues of optimization of PID-regulator parameters with the use of neural network technology methods. A methodology for choosing the architecture (structure) of neural network optimizer is proposed, which consists in determining the number of layers, the number of neurons in each layer, as well as the form and type of activation function. Algorithms of neural network training based on the application of the method of minimizing the mismatch between the regulated value and the target value are developed. The method of back propagation of gradients is proposed to select the optimal training rate of neurons of the neural network. The neural network optimizer, which is a superstructure of the linear PID controller, allows increasing the regulation accuracy from 0.23 to 0.09, thus reducing the power consumption from 65% to 53%. The results of the conducted experiments allow us to conclude that the created neural superstructure may well become a prototype of an automatic voltage regulator (AVR)-type industrial controller for tuning the parameters of the PID controller.
An improved modulation technique suitable for a three level flying capacitor ...IJECEIAES
This research paper introduces an innovative modulation technique for controlling a 3-level flying capacitor multilevel inverter (FCMLI), aiming to streamline the modulation process in contrast to conventional methods. The proposed
simplified modulation technique paves the way for more straightforward and
efficient control of multilevel inverters, enabling their widespread adoption and
integration into modern power electronic systems. Through the amalgamation of
sinusoidal pulse width modulation (SPWM) with a high-frequency square wave
pulse, this controlling technique attains energy equilibrium across the coupling
capacitor. The modulation scheme incorporates a simplified switching pattern
and a decreased count of voltage references, thereby simplifying the control
algorithm.
A review on features and methods of potential fishing zoneIJECEIAES
This review focuses on the importance of identifying potential fishing zones in seawater for sustainable fishing practices. It explores features like sea surface temperature (SST) and sea surface height (SSH), along with classification methods such as classifiers. The features like SST, SSH, and different classifiers used to classify the data, have been figured out in this review study. This study underscores the importance of examining potential fishing zones using advanced analytical techniques. It thoroughly explores the methodologies employed by researchers, covering both past and current approaches. The examination centers on data characteristics and the application of classification algorithms for classification of potential fishing zones. Furthermore, the prediction of potential fishing zones relies significantly on the effectiveness of classification algorithms. Previous research has assessed the performance of models like support vector machines, naïve Bayes, and artificial neural networks (ANN). In the previous result, the results of support vector machine (SVM) were 97.6% more accurate than naive Bayes's 94.2% to classify test data for fisheries classification. By considering the recent works in this area, several recommendations for future works are presented to further improve the performance of the potential fishing zone models, which is important to the fisheries community.
Electrical signal interference minimization using appropriate core material f...IJECEIAES
As demand for smaller, quicker, and more powerful devices rises, Moore's law is strictly followed. The industry has worked hard to make little devices that boost productivity. The goal is to optimize device density. Scientists are reducing connection delays to improve circuit performance. This helped them understand three-dimensional integrated circuit (3D IC) concepts, which stack active devices and create vertical connections to diminish latency and lower interconnects. Electrical involvement is a big worry with 3D integrates circuits. Researchers have developed and tested through silicon via (TSV) and substrates to decrease electrical wave involvement. This study illustrates a novel noise coupling reduction method using several electrical involvement models. A 22% drop in electrical involvement from wave-carrying to victim TSVs introduces this new paradigm and improves system performance even at higher THz frequencies.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Bibliometric analysis highlighting the role of women in addressing climate ch...IJECEIAES
Fossil fuel consumption increased quickly, contributing to climate change
that is evident in unusual flooding and draughts, and global warming. Over
the past ten years, women's involvement in society has grown dramatically,
and they succeeded in playing a noticeable role in reducing climate change.
A bibliometric analysis of data from the last ten years has been carried out to
examine the role of women in addressing the climate change. The analysis's
findings discussed the relevant to the sustainable development goals (SDGs),
particularly SDG 7 and SDG 13. The results considered contributions made
by women in the various sectors while taking geographic dispersion into
account. The bibliometric analysis delves into topics including women's
leadership in environmental groups, their involvement in policymaking, their
contributions to sustainable development projects, and the influence of
gender diversity on attempts to mitigate climate change. This study's results
highlight how women have influenced policies and actions related to climate
change, point out areas of research deficiency and recommendations on how
to increase role of the women in addressing the climate change and
achieving sustainability. To achieve more successful results, this initiative
aims to highlight the significance of gender equality and encourage
inclusivity in climate change decision-making processes.
Voltage and frequency control of microgrid in presence of micro-turbine inter...IJECEIAES
The active and reactive load changes have a significant impact on voltage
and frequency. In this paper, in order to stabilize the microgrid (MG) against
load variations in islanding mode, the active and reactive power of all
distributed generators (DGs), including energy storage (battery), diesel
generator, and micro-turbine, are controlled. The micro-turbine generator is
connected to MG through a three-phase to three-phase matrix converter, and
the droop control method is applied for controlling the voltage and
frequency of MG. In addition, a method is introduced for voltage and
frequency control of micro-turbines in the transition state from gridconnected mode to islanding mode. A novel switching strategy of the matrix
converter is used for converting the high-frequency output voltage of the
micro-turbine to the grid-side frequency of the utility system. Moreover,
using the switching strategy, the low-order harmonics in the output current
and voltage are not produced, and consequently, the size of the output filter
would be reduced. In fact, the suggested control strategy is load-independent
and has no frequency conversion restrictions. The proposed approach for
voltage and frequency regulation demonstrates exceptional performance and
favorable response across various load alteration scenarios. The suggested
strategy is examined in several scenarios in the MG test systems, and the
simulation results are addressed.
Enhancing battery system identification: nonlinear autoregressive modeling fo...IJECEIAES
Precisely characterizing Li-ion batteries is essential for optimizing their
performance, enhancing safety, and prolonging their lifespan across various
applications, such as electric vehicles and renewable energy systems. This
article introduces an innovative nonlinear methodology for system
identification of a Li-ion battery, employing a nonlinear autoregressive with
exogenous inputs (NARX) model. The proposed approach integrates the
benefits of nonlinear modeling with the adaptability of the NARX structure,
facilitating a more comprehensive representation of the intricate
electrochemical processes within the battery. Experimental data collected
from a Li-ion battery operating under diverse scenarios are employed to
validate the effectiveness of the proposed methodology. The identified
NARX model exhibits superior accuracy in predicting the battery's behavior
compared to traditional linear models. This study underscores the
importance of accounting for nonlinearities in battery modeling, providing
insights into the intricate relationships between state-of-charge, voltage, and
current under dynamic conditions.
Smart grid deployment: from a bibliometric analysis to a surveyIJECEIAES
Smart grids are one of the last decades' innovations in electrical energy.
They bring relevant advantages compared to the traditional grid and
significant interest from the research community. Assessing the field's
evolution is essential to propose guidelines for facing new and future smart
grid challenges. In addition, knowing the main technologies involved in the
deployment of smart grids (SGs) is important to highlight possible
shortcomings that can be mitigated by developing new tools. This paper
contributes to the research trends mentioned above by focusing on two
objectives. First, a bibliometric analysis is presented to give an overview of
the current research level about smart grid deployment. Second, a survey of
the main technological approaches used for smart grid implementation and
their contributions are highlighted. To that effect, we searched the Web of
Science (WoS), and the Scopus databases. We obtained 5,663 documents
from WoS and 7,215 from Scopus on smart grid implementation or
deployment. With the extraction limitation in the Scopus database, 5,872 of
the 7,215 documents were extracted using a multi-step process. These two
datasets have been analyzed using a bibliometric tool called bibliometrix.
The main outputs are presented with some recommendations for future
research.
Use of analytical hierarchy process for selecting and prioritizing islanding ...IJECEIAES
One of the problems that are associated to power systems is islanding
condition, which must be rapidly and properly detected to prevent any
negative consequences on the system's protection, stability, and security.
This paper offers a thorough overview of several islanding detection
strategies, which are divided into two categories: classic approaches,
including local and remote approaches, and modern techniques, including
techniques based on signal processing and computational intelligence.
Additionally, each approach is compared and assessed based on several
factors, including implementation costs, non-detected zones, declining
power quality, and response times using the analytical hierarchy process
(AHP). The multi-criteria decision-making analysis shows that the overall
weight of passive methods (24.7%), active methods (7.8%), hybrid methods
(5.6%), remote methods (14.5%), signal processing-based methods (26.6%),
and computational intelligent-based methods (20.8%) based on the
comparison of all criteria together. Thus, it can be seen from the total weight
that hybrid approaches are the least suitable to be chosen, while signal
processing-based methods are the most appropriate islanding detection
method to be selected and implemented in power system with respect to the
aforementioned factors. Using Expert Choice software, the proposed
hierarchy model is studied and examined.
Enhancing of single-stage grid-connected photovoltaic system using fuzzy logi...IJECEIAES
The power generated by photovoltaic (PV) systems is influenced by
environmental factors. This variability hampers the control and utilization of
solar cells' peak output. In this study, a single-stage grid-connected PV
system is designed to enhance power quality. Our approach employs fuzzy
logic in the direct power control (DPC) of a three-phase voltage source
inverter (VSI), enabling seamless integration of the PV connected to the
grid. Additionally, a fuzzy logic-based maximum power point tracking
(MPPT) controller is adopted, which outperforms traditional methods like
incremental conductance (INC) in enhancing solar cell efficiency and
minimizing the response time. Moreover, the inverter's real-time active and
reactive power is directly managed to achieve a unity power factor (UPF).
The system's performance is assessed through MATLAB/Simulink
implementation, showing marked improvement over conventional methods,
particularly in steady-state and varying weather conditions. For solar
irradiances of 500 and 1,000 W/m2
, the results show that the proposed
method reduces the total harmonic distortion (THD) of the injected current
to the grid by approximately 46% and 38% compared to conventional
methods, respectively. Furthermore, we compare the simulation results with
IEEE standards to evaluate the system's grid compatibility.
Enhancing photovoltaic system maximum power point tracking with fuzzy logic-b...IJECEIAES
Photovoltaic systems have emerged as a promising energy resource that
caters to the future needs of society, owing to their renewable, inexhaustible,
and cost-free nature. The power output of these systems relies on solar cell
radiation and temperature. In order to mitigate the dependence on
atmospheric conditions and enhance power tracking, a conventional
approach has been improved by integrating various methods. To optimize
the generation of electricity from solar systems, the maximum power point
tracking (MPPT) technique is employed. To overcome limitations such as
steady-state voltage oscillations and improve transient response, two
traditional MPPT methods, namely fuzzy logic controller (FLC) and perturb
and observe (P&O), have been modified. This research paper aims to
simulate and validate the step size of the proposed modified P&O and FLC
techniques within the MPPT algorithm using MATLAB/Simulink for
efficient power tracking in photovoltaic systems.
Adaptive synchronous sliding control for a robot manipulator based on neural ...IJECEIAES
Robot manipulators have become important equipment in production lines, medical fields, and transportation. Improving the quality of trajectory tracking for
robot hands is always an attractive topic in the research community. This is a
challenging problem because robot manipulators are complex nonlinear systems
and are often subject to fluctuations in loads and external disturbances. This
article proposes an adaptive synchronous sliding control scheme to improve trajectory tracking performance for a robot manipulator. The proposed controller
ensures that the positions of the joints track the desired trajectory, synchronize
the errors, and significantly reduces chattering. First, the synchronous tracking
errors and synchronous sliding surfaces are presented. Second, the synchronous
tracking error dynamics are determined. Third, a robust adaptive control law is
designed,the unknown components of the model are estimated online by the neural network, and the parameters of the switching elements are selected by fuzzy
logic. The built algorithm ensures that the tracking and approximation errors
are ultimately uniformly bounded (UUB). Finally, the effectiveness of the constructed algorithm is demonstrated through simulation and experimental results.
Simulation and experimental results show that the proposed controller is effective with small synchronous tracking errors, and the chattering phenomenon is
significantly reduced.
Remote field-programmable gate array laboratory for signal acquisition and de...IJECEIAES
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Detecting and resolving feature envy through automated machine learning and m...IJECEIAES
Efficiently identifying and resolving code smells enhances software project quality. This paper presents a novel solution, utilizing automated machine learning (AutoML) techniques, to detect code smells and apply move method refactoring. By evaluating code metrics before and after refactoring, we assessed its impact on coupling, complexity, and cohesion. Key contributions of this research include a unique dataset for code smell classification and the development of models using AutoGluon for optimal performance. Furthermore, the study identifies the top 20 influential features in classifying feature envy, a well-known code smell, stemming from excessive reliance on external classes. We also explored how move method refactoring addresses feature envy, revealing reduced coupling and complexity, and improved cohesion, ultimately enhancing code quality. In summary, this research offers an empirical, data-driven approach, integrating AutoML and move method refactoring to optimize software project quality. Insights gained shed light on the benefits of refactoring on code quality and the significance of specific features in detecting feature envy. Future research can expand to explore additional refactoring techniques and a broader range of code metrics, advancing software engineering practices and standards.
Smart monitoring technique for solar cell systems using internet of things ba...IJECEIAES
Rapidly and remotely monitoring and receiving the solar cell systems status parameters, solar irradiance, temperature, and humidity, are critical issues in enhancement their efficiency. Hence, in the present article an improved smart prototype of internet of things (IoT) technique based on embedded system through NodeMCU ESP8266 (ESP-12E) was carried out experimentally. Three different regions at Egypt; Luxor, Cairo, and El-Beheira cities were chosen to study their solar irradiance profile, temperature, and humidity by the proposed IoT system. The monitoring data of solar irradiance, temperature, and humidity were live visualized directly by Ubidots through hypertext transfer protocol (HTTP) protocol. The measured solar power radiation in Luxor, Cairo, and El-Beheira ranged between 216-1000, 245-958, and 187-692 W/m 2 respectively during the solar day. The accuracy and rapidity of obtaining monitoring results using the proposed IoT system made it a strong candidate for application in monitoring solar cell systems. On the other hand, the obtained solar power radiation results of the three considered regions strongly candidate Luxor and Cairo as suitable places to build up a solar cells system station rather than El-Beheira.
An efficient security framework for intrusion detection and prevention in int...IJECEIAES
Over the past few years, the internet of things (IoT) has advanced to connect billions of smart devices to improve quality of life. However, anomalies or malicious intrusions pose several security loopholes, leading to performance degradation and threat to data security in IoT operations. Thereby, IoT security systems must keep an eye on and restrict unwanted events from occurring in the IoT network. Recently, various technical solutions based on machine learning (ML) models have been derived towards identifying and restricting unwanted events in IoT. However, most ML-based approaches are prone to miss-classification due to inappropriate feature selection. Additionally, most ML approaches applied to intrusion detection and prevention consider supervised learning, which requires a large amount of labeled data to be trained. Consequently, such complex datasets are impossible to source in a large network like IoT. To address this problem, this proposed study introduces an efficient learning mechanism to strengthen the IoT security aspects. The proposed algorithm incorporates supervised and unsupervised approaches to improve the learning models for intrusion detection and mitigation. Compared with the related works, the experimental outcome shows that the model performs well in a benchmark dataset. It accomplishes an improved detection accuracy of approximately 99.21%.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMSIJNSA Journal
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a mobile phone application. However, those contributions did not solve the crux of the problem caused due to
the change of electric power supplied to a home or workplace to another power source with limited power
capacity. The current work addresses this problem as it allows the consumer to control the operation of
the devices according to the type of the electric power source being supplied.
Consumers of electric power in Iraq suffer continuously during the whole day from the problem of
non-continuity and interruption of electric power [10, 24, 25]. This problem led to the use of several electric
power sources as an alternative source to compensate for the lack of electric power provided by the Iraqi
national grid. However, these sources are limited according to consumer needs and financial ability. Due to
the multiplicity of power sources received at home, government departments and factories in Iraq and
the amount of electricity consumed from each of these sources, it is necessary to control the operation of
some devices in the house and the workplace automatically when the source of power changes from one to
another. For example, when it changes from the national network power source to the private sector power
generator or vice versa. Some high-current devices such as air conditioners and heaters cannot be operated on
low power sources and small generators, which must be switched off manually. Additionally, there are
usually major electrical problems that cause damage to the devices or power cables. This is because when
these devices are kept on while changing the power source to the private generator and the supplied power is
repeatedly interrupted by the power breaker when exceeding the breaker current limit.
In this work, a proposed device is designed aiming to wirelessly control the operation of electrical
devices, according to the user’s needs, by using a microcontroller with a wireless sensor network.
The proposed smart wireless changeover device is designed to solve previously mentioned problems and thus
avoid manually turning off or on devices when switching sources of electrical power. This feature helps to
ensure the continuity of electric current feeding from power sources of variable capacities to homes and
workstations as well as saving the costs of re-assignment of power lines in buildings according to
the supplied source. Furthermore, the proposed device also helps in rationalizing power consumption by
assigning an operation priority to electric devices. The core components of this work include an Arduino
microcontroller, an XBee ZigBee wireless transceiver, a Current Transformer CT, and a low or high-power
protection device.
The rest of this paper is organized as follows. The next section describes the proposed device
components and overall structure. Section 3 describes the proposed device functionality and operation
mechanism. Section 4, discuss the performance and testing results. Finally, some conclusions and
suggestions are drawn in section 5 and 6.
2. THE PROPOSED DEVICE DESCRIPTION
The proposed device consists of two main parts: the central control unit or Base Station (BS) and
the terminal control unit or End Node (EN). The BS is responsible for the sensitivity of the incoming currents
to the home or workplace and the source of these currents. This unit consists of an Arduino Mega
microcontroller which is responsible for controlling the system by programming it according to user needs.
The unit also contains three current sensors (CT) to determine the source of electric current entering
the home or workplace, i.e., the source of the national network, private sector generator, or household
generator. Figure 1 shows the components of the BS. The signal is transferred to and from the central control
unit using the transceiver XBee ZigBee. As for the EN, it receives the signal from the BS. According to the
user's choice, which is determined by the selector in this unit. The Arduino Mini microcontroller determines
the operation of the electrical device connected to the EN. For example, working on the national network
electric current source only. Figure 2 shows the components of the EN.
Figure 1. Base station (BS) infrastructure Figure 2. End node (EN) infrastructure
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3. THE SYNTHESIS OF THE SMART CHANGEOVER
Figures 3-5 illustrate the stages of building the prototype of the proposed device for both the BS and
the EN as well as showing the system functionality. The designed system works in the following sequence
and as shown in Figure 6 and Figure 7:
a. The microcontroller in the BS monitors or senses the voltage on the three main current sensors
connected to the BS (CT1, CT2, and CT3). If the sensed electric current is fed from the national
network (for example), the controller will turn on LED1 referring to the current of the national network
and sends a unique code via the ZigBee to the other ENs in the system to make the appropriate decision
according to the choice of the EN user.
b. At the EN, the user selects on which current source the electrical device connected to this unit needs to
operate through a selector, i.e., whether it needs to be operating on the national network only, or on
the private sector generator only, or on the household generator only, or on the national network and
the private sector generator together, etc. Note that the user selects the electric current source to operate
the EN on it only once and for each EN device in the system network.
c. Then, the EN microcontroller waits for a signal from the BS. Once the signal is received by ZigBee of
the EN, the microcontroller (Arduino Micro) sends a signal to the relay connected to the microcontroller
and thus the surge protection device is supplied with electric power. Finally, the surge protection device
will supply the connected device (the load) with electric current if the supplied electric power is stable,
otherwise (when there the current is fluctuated to higher or lower than the rated voltage) it will cutoff
the supply and wait until reaching the stabilization state.
Figure 3. Implementation stages of EN.
(a) microcontroller, transceiver, relay, and EN switch, which represents the control unit, data receiving and
transmitting, and managing EN functions, (b) Assembly of EN parts, (c) EN after assembly
Figure 4. The stages of building the central unit
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Figure 1. Clarification of the EN and BS function, (a) The BS is connected to the power supply lines,
(b) The BS is active and the green light is illuminated which indicates sensitivity to the current of the national
grid. (c) The CT sensors are connected to the power supply lines. (d) The EN is active and supplying electric
current to the air conditioner
Figure 6. Operation mechanism of the BS
Figure 7. Operation mechanism of the EN
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4. TESTING RESULTS
The device is mainly designed to control the operation of some electrical appliances (which consume
high current) in the home or workplace automatically when changing the source of electricity to ensure
the continuity of electric current feeding from the power source. This feature can also help to rationalize power
consumption by assigning an operation priority to electric devices. To demonstrate the power saving capability
of the designed device, a statistical measurement as a case study was performed at the building of the Electrical
Engineering Department/ College of Engineering/ Al Mustansiriya University located in Baghdad. The study
considered a number of air conditioning devices in each room of the building. Each device was assigned to
a specific priority (1, 2, or 3) within the room according to the necessity of that device and how it may operate.
This assumption showed that there would be different power saving capabilities depending on the intended
operating scenario that can be specified through the proposed device. Table 1 shows the number of high
current electric loads, their average consumption, and the assigned priority for each lecturers’ rooms,
classrooms, offices, and laboratories. It can be seen from the table that the total consumed power in the building
is 160.8 KW/h.
Many scenarios were considered depending on the yearly operation of the electric loads in
the building. These scenarios are:
1. Normal working days scenario.
2. Exam scenario.
3. Summer and spring holiday’s scenario.
4. Winter working days scenario.
5. Secondary schools final exam scenario.
In normal working days scenario, all loads in the building are usually turned on, and there will be no
saving in power as can be seen in Figure 8. However, by using the proposed device the saving in power
varies depending on the selected priority of operation which can be seen clearly in the figure. In Exam
scenario, some of the devices are usually turned on so in this case there will be a usual saving of about 67%.
Applying priorities using the proposed device will help in reducing the consumption further as can be seen in
Figure 9. Applying the same criteria for other scenarios will provide different power saving capabilities, as
can be seen in Figures 10-12, for the Summer and Spring holidays scenario, Winter working days scenario,
and secondary schools final exams scenario respectively.
The device has been tested practically and proved to be successful in controlling the operation of
electrical devices according to the needs of the user. Figure 5(a) shows the BS attached to the electrical
power supply lines. Figure 5(b) shows the BS active and the green light is illuminating indicating that the BS
has sensed the presence of the national grid electric current. According to its programming, the BS will send
instructions to the ENs to operate the connected devices if the user had chosen to operate them on
the national network only (for example) which can be seen in Figure 5(d). The specific case in this figure
shows the EN operating and supplying electric current to an air conditioner.
Furthermore, as shown in section 4 the power saving capability of the device is studied and proved
to be very effective. According to the study, there has been an average saving in power of about 50% to 86%
depending on the applied priorities and case study scenario. This can be seen clearly in Figure 13 where the
minimum, average, and maximum power saving capability for all case studies are given.
Table 1. The number of high current electric loads, their average consumption,
and the assigned priority for each load in the building
Room No. No. of Loads Priority Amp/h Room No. No. of Loads Priority Amp/h
1 2 1 40 19 2 3 20
2 2 1 20 20 2 1 20
3 1 2 10 21 1 3 10
4 2 3 20 22 1 3 10
5 3 2 30 23 1 3 10
6 3 2 30 24 1 3 10
7 3 2 30 25 1 3 10
8 3 2 30 26 1 3 10
9 3 2 30 27 1 3 10
10 3 2 30 28 1 3 10
11 3 2 30 29 1 3 10
12 4 2 40 30 1 3 10
13 2 2 20 31 1 3 10
14 2 2 20 32 1 3 10
15 2 3 20 33 1 10 3
16 3 1 30 34 1 10 3
17 2 1 30 35 1 10 3
18 2 1 20
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Figure 2. Power saving for different priorities in
normal working days scenario
Figure 3. Power saving for different priorities in
exam scenario
Figure 4. Power saving for different priorities in
summer and spring holiday’s scenario
Figure 5. Power saving for different priorities in
winter working days scenario
Figure 6. Power saving for different priorities in secondary schools final exam scenario
Figure 7. Maximum, average, and minimum power saving capability of the device after applying operating
priorities for devices in the building
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5. CONCLUSION
In this work, a smart wireless changeover device is designed using wireless sensor networks
technology aiming to solve the problem caused by the multiplicity of power sources supplying homes and
governmental buildings in Iraq by controlling the operation of some electrical devices (which consume high
current) automatically when changing the source of electricity from one to another. According to device
performance evaluation results it is concluded that the device helps to ensure the continuity of electric current
feeding from power sources of variable capacities as well as saving power. Hence, the results also showed
that the device function effectively and is capable of achieving an average saving in power consumption of
about 50% to 86% depending on the applied priorities and case study scenario (in a building with total power
consumption of 160.8 KW/h).
Furthermore, the device has multiple features which makes it different and unique. These features
can be summarized as follows: it provides the efforts and costs required to re-organize the electric power
lines according to the power source, it enables monitoring the operation of electrical devices and the amount
of consumption of electric power wirelessly, it is easy in moving and installation inside the buildings
(Portable), and it can be developed easily to enable multiple tasks and additional functions.
6. FUTURE WORK
Considering the device features and achieved results, many enhancements can be done to
the infrastructure of the proposed device to enable additional functions. All that being said, future work can
involve some of the following suggestions: (a) Developing the device to perform multiple tasks such as
turning off and on the EN electric devices through a mobile phone application which allows the monitoring
of the activity of these devices in the workplace as well as the ability to control them from anywhere through
the Internet. (b) Adding other sensors such as motion and heat sensors. The addition of such sensors helps to
rationalize consumption by monitoring the movement in a place and thus control the operation of lighting in
these places for a certain time according to movement. Heat sensors also help to determine the working times
of air conditioners according to the room temperature set by the user. (c) Creating a PC and mobile
application to control the devices within the proposed device network as well as viewing and receiving
notifications about the consumption.
ACKNOWLEDGEMENTS
The authors would like to thank the Electrical Engineering Department, Faculty of Engineering,
Al-Mustansiriyah University, Iraq for providing the required statistical details to accomplish the work. Also,
we are grateful for the feedback received on an early version of this work from the Industrial Property
Department, Central Organization for Standardization & Quality Control (COSQC), Ministry of Planning,
Iraq which resulted in accepting the work as a patent in Iraq numbered 5261 and dated 26/2/2018.
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BIOGRAPHIES OF AUTHORS
Haider A. H. Alobaidy was born in Iraq in 1991. He received the M.Sc. degree in Electrical
Engineering/ Electronic & Communication from the Faculty of Engineering, Al-Mustansiriyah
University, Iraq in 2016. He is currently a Ph.D. student in the Department of Electrical,
Electronic & Systems Engineering, Faculty of Engineering and Built Environment, Universiti
Kebangsaan Malaysia (UKM). His research interest includes wireless sensor networks, wireless
communication, IoT, and channel propagation modeling and estimation.
Hikmat. N. Abdullah was born in Baghdad, Iraq in 1974. He obtained his B.Sc. in Electrical
Engineering in 1995, M.Sc. in Communication Engineering in 1998 at Al-Mustansiriyah
University, Iraq and Ph.D. in Communication Engineering in 2004 at University of Technology,
Iraq. From 1998 to 2015 he worked as a lecturer in the Electrical Engineering Department, at
Al-Mustansiriyah University., Iraq. Since the beginning of 2015, he works as a professor in
the College of Information Engineering at Al-Nahrain University, Iraq. From 2011–2013 he got
a research award from International Institute of Education (IIE/USA) at Bonn-Rhein-Sieg
University of Applied Sciences, Germany. He is a senior member of the IEEE association since
2014. He is interested in the subject of modulation and coding schemes for wireless
communication systems.
Tariq M. Salman was born in Baghdad, Iraq in 1972. He obtained his B.Sc. in Electrical
Engineering in 1995, M.Sc. in Communication Engineering in 2003 at University of
Technology, Iraq and Ph.D. in Telecommunication and Network devices in 2012 at Belarussian
State University of Informatics and Radio Electronics, Belarus. From 2006 to 2012 he worked as
a lecturer in the Electrical Engineering Faculty, at Al-Mustansiriyah University, Iraq. Since the
beginning of 2018, he works as an assistant professor in the same Faculty. He is a consultant
member of the Iraqi Engineering union since 2013. He is interested in the subject of wireless and
network devices, video and image processing systems.