The document discusses the implications of implementing smart meters across all feeders in Andhra Pradesh. It provides demographic data on AP's population, number of connections, electricity supply and consumption. It then calculates the total costs associated with installing smart metering infrastructure at individual premises, the neighborhood network, and core systems. Recurring O&M costs are also estimated. The analysis finds that the total project cost would be Rs. 2.38 trillion over 10 years but the DISCOM could see annual benefits of Rs. 920 billion from reduced losses and other operational savings. This would result in a payback period of 2.59 years, indicating that smart metering across AP could be financially viable for the DISCOM.
DISTRIBUTED TRANSFORMER ENERGY METER USING GSM TECHNOLOGYecij
The Distributed transformer meter is located in all user building blocks and a server is preserved from the facility contributor. The electricity is major part for consuming the energy level with cost and obtaining the energy used by customers can be maintain in every sequence of manual process is very difficult to identify. There are some common techniques that are used by customers for theft and leakage of power in one particular transformer and these robberies are detected using GSM. These meters provide the automatic readings data with help of Apriori algorithm. It will reduce the labor task and financial expenditure by adopting the automatic meter reading is to provide the bill entry process. This is very useful and helps to
households consumers.
Advanced Metering Infrastructure (AMI) is an integrated system of smart meters, communication networks, and data management systems that enables two-way communication between utilities and customers.
IoT Based Control and Monitoring of Smart Grid and Power Theft Detection by L...IRJET Journal
This document discusses using IoT technology to create a smart grid system for monitoring and controlling power distribution and detecting power theft. The system uses Raspberry Pi hubs connected to smart meters via Zigbee to collect power usage data from consumers and send it to the Azure cloud. This allows identifying locations of power theft by comparing total usage recorded at transformers to reported consumer usage. The system can also detect faults, notify consumers of outages or price changes, and allow excess power from solar installations to be returned to the grid.
Impact Analysis of Automatic Meter Reading (AMR) MetersIJMREMJournal
Automatic meter reading (AMR) meters are installed in portion of Hyderabad city by Hyderabad Electric
Supply Company (HESCO). Installation of AMR meters have initiated discussion on its effectiveness in the
mentioned utility. In this research work, impacts of AMR are analyzed through data collection and analysis.
Energy consumption is compared before and after AMR installation, which shows increase in billed energy
units. Consumer survey was carried, which confirms consumer positive response for AMR installation as
consumer complaints regarding electricity bills have reduced significantly.
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Mobile Based Electricity Billing Systems is a combination of a distributed system to
facilitate better performance of electricity billing process. the database was developed using
MySQL server version 6, developed by Oracle and the framework used to design android
applications is Eclipse which is OSI Certified Open Source Software. Most of the Eclipse
SDK is "pure" Java code and has no direct dependence on the underlying operating system.
The chief dependence is therefore on the Java Platform itself. Portions are targeted to specific
classes of operating environments, requiring their source code to only reference facilities
available in particular class.
The Apache server, which is used to create the virtual server is a HTTP Server Project
which is a collaborative software development effort aimed at creating a robust, commercialgrade, featured, and freely-available source code implementation of an HTTP (Web) server.
And the XAMPP version 1.8.3 is a configuration package containing Apache 2.4.4, MySQL
5.5.32 (Community Server), PHP 5.5.6 (VC11 X86 32bit thread safe) and phpMyAdmin 4.0.4
these frameworks were used in developing this software.
Echelon Enables Powerful and Efficient Grid Analytics with New Smart Meter Software that Helps Utilities Avoid Service Outages.
- Industry First - Smart meters (Echelon/OSGP) can now be upgraded in the field to function as multi-parameter grid sensors, in addition to serving as billing devices.
- Reduces Data Deluge - Separating billing data from grid power quality data enables utilities to minimize the volume of data collected and processed, while increasing its usefulness – ultimately improving service reliability at lower cost.
IRJET- Automatic Traffic Control System based on the Vehicular DensityIRJET Journal
This document describes a proposed automatic traffic control system based on vehicular density. The system uses infrared sensors placed along roads to detect the number of vehicles passing through each lane. This information is sent to a microcontroller which then determines which lane has the highest traffic density and assigns a longer green light period to that lane dynamically. The goal is to optimize traffic flow compared to traditional fixed-time traffic lights. The system architecture includes infrared sensors connected to an Arduino microcontroller board, which controls traffic lights and displays information on an LCD screen. Simulation results show the microcontroller directing green lights based on detected vehicle buildup in different lanes. This proposed system aims to reduce traffic congestion by adapting signal times based on real-time traffic conditions
DISTRIBUTED TRANSFORMER ENERGY METER USING GSM TECHNOLOGYecij
The Distributed transformer meter is located in all user building blocks and a server is preserved from the facility contributor. The electricity is major part for consuming the energy level with cost and obtaining the energy used by customers can be maintain in every sequence of manual process is very difficult to identify. There are some common techniques that are used by customers for theft and leakage of power in one particular transformer and these robberies are detected using GSM. These meters provide the automatic readings data with help of Apriori algorithm. It will reduce the labor task and financial expenditure by adopting the automatic meter reading is to provide the bill entry process. This is very useful and helps to
households consumers.
Advanced Metering Infrastructure (AMI) is an integrated system of smart meters, communication networks, and data management systems that enables two-way communication between utilities and customers.
IoT Based Control and Monitoring of Smart Grid and Power Theft Detection by L...IRJET Journal
This document discusses using IoT technology to create a smart grid system for monitoring and controlling power distribution and detecting power theft. The system uses Raspberry Pi hubs connected to smart meters via Zigbee to collect power usage data from consumers and send it to the Azure cloud. This allows identifying locations of power theft by comparing total usage recorded at transformers to reported consumer usage. The system can also detect faults, notify consumers of outages or price changes, and allow excess power from solar installations to be returned to the grid.
Impact Analysis of Automatic Meter Reading (AMR) MetersIJMREMJournal
Automatic meter reading (AMR) meters are installed in portion of Hyderabad city by Hyderabad Electric
Supply Company (HESCO). Installation of AMR meters have initiated discussion on its effectiveness in the
mentioned utility. In this research work, impacts of AMR are analyzed through data collection and analysis.
Energy consumption is compared before and after AMR installation, which shows increase in billed energy
units. Consumer survey was carried, which confirms consumer positive response for AMR installation as
consumer complaints regarding electricity bills have reduced significantly.
International Journal of Engineering and Science Invention (IJESI) is an international journal intended for professionals and researchers in all fields of computer science and electronics. IJESI publishes research articles and reviews within the whole field Engineering Science and Technology, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Mobile Based Electricity Billing Systems is a combination of a distributed system to
facilitate better performance of electricity billing process. the database was developed using
MySQL server version 6, developed by Oracle and the framework used to design android
applications is Eclipse which is OSI Certified Open Source Software. Most of the Eclipse
SDK is "pure" Java code and has no direct dependence on the underlying operating system.
The chief dependence is therefore on the Java Platform itself. Portions are targeted to specific
classes of operating environments, requiring their source code to only reference facilities
available in particular class.
The Apache server, which is used to create the virtual server is a HTTP Server Project
which is a collaborative software development effort aimed at creating a robust, commercialgrade, featured, and freely-available source code implementation of an HTTP (Web) server.
And the XAMPP version 1.8.3 is a configuration package containing Apache 2.4.4, MySQL
5.5.32 (Community Server), PHP 5.5.6 (VC11 X86 32bit thread safe) and phpMyAdmin 4.0.4
these frameworks were used in developing this software.
Echelon Enables Powerful and Efficient Grid Analytics with New Smart Meter Software that Helps Utilities Avoid Service Outages.
- Industry First - Smart meters (Echelon/OSGP) can now be upgraded in the field to function as multi-parameter grid sensors, in addition to serving as billing devices.
- Reduces Data Deluge - Separating billing data from grid power quality data enables utilities to minimize the volume of data collected and processed, while increasing its usefulness – ultimately improving service reliability at lower cost.
IRJET- Automatic Traffic Control System based on the Vehicular DensityIRJET Journal
This document describes a proposed automatic traffic control system based on vehicular density. The system uses infrared sensors placed along roads to detect the number of vehicles passing through each lane. This information is sent to a microcontroller which then determines which lane has the highest traffic density and assigns a longer green light period to that lane dynamically. The goal is to optimize traffic flow compared to traditional fixed-time traffic lights. The system architecture includes infrared sensors connected to an Arduino microcontroller board, which controls traffic lights and displays information on an LCD screen. Simulation results show the microcontroller directing green lights based on detected vehicle buildup in different lanes. This proposed system aims to reduce traffic congestion by adapting signal times based on real-time traffic conditions
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.
Reduce the Internal and External Interruptions and Improving Communications u...IRJET Journal
This document presents a review of a GSM-based monthly electrical energy billing system that sends SMS messages. The system aims to automatically monitor electricity usage, calculate bills, and send SMS messages to utilities and customers to avoid manual billing. It uses a microcontroller connected to an energy meter to count pulses and calculate usage. At month's end, total usage is sent via GSM modem as an SMS to the utility and customer. The system aims to reduce billing errors and hassles for customers. It also allows utilities to remotely monitor usage and disconnect power if needed.
The document discusses an Automatic Meter Reading (AMR) project implemented in Islamabad, Pakistan. It provides background on AMR, describes the previous manual meter reading system, and outlines the tasks assigned to complete the AMR implementation. Key actions taken included installing and fixing defective meters, establishing a communication network, and relocating gateways. This resolved data transfer issues. Achievements included online reading without meter readers, training opportunities, and committee memberships. Results showed improved revenue collection. The conclusion emphasizes hard work, teamwork, and enhancing skills while recommendations suggest expanding AMR to more areas.
The document describes the design of a smart meter that measures power consumption of electrical devices and transmits the data to a power supplier company. It implements the smart meter using a PIC microcontroller that measures voltage and current using analog inputs and algorithms. It displays the measurements on an LCD and transmits the data using a GSM modem. The smart meter also calculates the power factor using timers to measure the phase difference between voltage and current.
IRJET- Energy Meter Reading over InternetIRJET Journal
1. The document proposes a system to remotely read energy meter readings over the internet using IoT technology. It uses sensors to detect voltage and current flowing to appliances, an Arduino board to collect and transmit data, and a GSM module for internet connectivity. Data is sent to a cloud server database.
2. A user portal allows customers to access their energy consumption data, billing information, and pay bills online. This system aims to reduce manual meter reading work and human errors by automating the process using IoT.
IRJET- Design and Implement Mechanism for Efficient Energy Meter using IoTIRJET Journal
This document describes a proposed smart electricity meter system using IoT. The system would automate the manual process of monthly electricity bill calculation and reading. Sensors in the electricity meter would collect real-time energy consumption data and send it wirelessly to a centralized system. This would make the billing process more accurate and efficient by eliminating human error. It could also provide load monitoring to strengthen the electricity distribution system based on usage patterns. The proposed system aims to reduce costs for utilities while providing users with more control over their electricity usage and billing.
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.
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.
This document describes a smart electricity metering system that uses an e-wallet payment system. The system uses an Arduino board connected to current sensors and a GSM modem to automatically read electricity meters and send readings to the utility provider. It also allows customers to pay electricity bills through an e-wallet on their phone. The system aims to reduce workload for meter readers and provide a more convenient digital payment process for customers.
Automatic meter reading (AMR) technology automatically collects utility meter data and transfers it to utility providers. AMR was first developed in the 1970s and allows near real-time meter readings to replace estimated billing. It provides benefits like more accurate billing and easier detection of tampering or leaks but also risks increased monitoring and reduced privacy. Common AMR methods include touch pads, radio frequency networks, mobile drives, and satellite transmitters.
This document describes the design of a digital energy meter with a cost indicator. It has three main parts: a power sensing unit, a power and cost calculation unit, and a display unit using LCD. It measures power consumption and calculates the energy used in kW/h and the corresponding cost based on the tariff rates stored in the microcontroller. The values are displayed on the LCD. It is designed using components like a PIC microcontroller, current and potential transformers, and an LCD for display. The circuit uses a power supply unit consisting of a step-down transformer, rectifier, filters and regulators to provide the necessary power.
Automatic meter reading (AMR) technology uses radio frequency networks to remotely collect utility meter readings, reducing the need for manual readings. AMR systems provide benefits to both electrical companies and customers by automating processes, enabling more precise billing based on actual usage, and detecting tampering. Common AMR technologies include handheld, mobile, and fixed network approaches. A typical AMR system uses a transmitter unit attached to the meter to send usage data via RF signals to a receiver unit, with the data then processed by a central computer system. While complex communication patterns and algorithms pose challenges, AMR allows for streamlined operations and its capabilities are growing to include additional functionalities like event monitoring.
This document provides an overview and specifications for a single phase smart GPRS/GSM meter. It includes the following key points:
1) The meter is designed for residential consumers in both urban and rural areas, with a rated voltage of 230V and maximum current of 5(60)A.
2) Communication is enabled via GPRS/GSM modules using protocols like DLMS TCP/IP and optical ports for local communication.
3) The meter measures active energy import and export, and provides load profile data and billing information with 12 months of billing history storage.
4) Specifications include accuracy class, voltage and frequency ranges, measurement functions, communication protocols and GPRS modem details.
This document discusses an Advanced Metering Infrastructure (AMI) system for electric utilities. It provides timelines for feasibility studies conducted in 2017-2018, a request for proposals, and contract negotiations with the top vendor. The presentation seeks council approval for the final AMI contract and notes installation would take 12-18 months. Key advantages of AMI include improved outage management and customer service through more accurate usage data and automated notifications.
IRJET- Intelligence Transportation System based on IoTIRJET Journal
This document describes an intelligent transportation system that detects vehicle accidents and notifies emergency services. It uses sensors in vehicles to detect accidents and send location information via GSM to ambulances and a server. An Android app allows ambulance drivers to control traffic lights to pass through more efficiently on their way to the accident site. Temperature sensors update patient condition to a hospital webpage. The system aims to reduce emergency response times, which can save lives when injuries occur in accidents. It presents the system architecture and algorithm for automatic accident detection and notification to provide faster emergency assistance.
IRJET - IoT Gas Meters and Management SystemsIRJET Journal
This document describes a project to develop an IoT-based system for automated gas meter reading and billing. The system uses LoRa technology to connect domestic gas meters to gateways and transmit readings to a central server. Commercial meters connect directly via LTE. The server stores meter data and a new web application provides an interface for users and the gas company. The goals are to simplify the process of monthly meter reading and billing by automating readings and removing the need for manual collection of meter data. The system aims to make the gas meter and billing process more efficient and user-friendly.
EFFICIENT POWER THEFT DETECTION FOR RESIDENTIAL CONSUMERS USING MEAN SHIFT DA...ijaia
Energy theft constitutes an issue of great importance for electricity operators. The attempt to detect and reduce non-technical losses is a challenging task due to insufficient inspection methods. With the evolution of advanced metering infrastructure (AMI) in smart grids, a more complicated status quo in energy theft has emerged and many new technologies are being adopted to solve the problem. In order to identify illegal residential consumers, a computational method of analyzing and identifying electricity consumption patterns of consumers based on data mining techniques has been presented. Combining principal component analysis (PCA) with mean shift algorithm for different power theft scenarios, we can now cope with the power theft detection problem sufficiently. The overall research has shown encouraging results in residential consumers power theft detection that will help utilities to improve the reliability, security and operation of power network.
This document describes an IoT-based smart energy meter that was developed to address issues with traditional energy meters. Key features of the smart meter include using an Arduino microcontroller to measure current and voltage from sensors, displaying readings on an LCD screen, and sending readings over WiFi to an IoT platform for remote monitoring of energy usage and costs. The system aims to optimize power usage, reduce theft and tampering, and eliminate the need for manual meter readings through remote access and automation.
IRJET - Accident Monitoring and Rescue SystemIRJET Journal
This document describes a proposed accident monitoring and rescue system using IoT technologies. The system uses sensors like an accelerometer and GPS module embedded on a CC3200 microcontroller board to detect if an accident occurs. If a hard impact is detected by a change in acceleration beyond a threshold, the GPS location, temperature readings, and accelerometer values would be sent as an SMS using cloud services like Twilio to alert emergency contacts and services. The goal is to help rescue victims and reduce response times in the event of a road accident.
A Generalized Multistage Economic Planning Model for Distribution System Cont...IJERD Editor
This document describes a smart energy meter system that allows for wireless billing and load management. The system consists of an energy meter installed at a customer's location that measures electricity usage and transmits readings wirelessly. A billing station then receives the data, calculates customer bills, and sends bills via text message. The meter can also send warning texts and disconnect power if usage exceeds limits. The system aims to reduce energy waste, provide more convenient billing, and allow remote disconnection for non-payment. It was found to be technically, economically, and commercially feasible to automate billing and load management using wireless communication compared to traditional manual processes.
IRJET - Electricity Energy Meter using IoTIRJET Journal
This document describes an IoT-based electricity energy meter that uses an ESP8266 Wi-Fi module. The energy meter can not only send SMS/email notifications of electricity bills but also allow users to monitor power usage anytime from anywhere using a mobile application. The energy meter provides bill amount notifications after each month and a website for users to pay their bills. If payment is delayed beyond a set time, power will automatically be shut off.
A Review on GSM Based Monthly Electrical Energy Billing Through SMSIRJET Journal
This document presents a review of a GSM-based monthly electrical energy billing system that sends SMS messages. The system aims to automatically monitor electricity usage, calculate bills, and send SMS messages to utilities and customers to avoid manual billing. It uses a microcontroller connected to an energy meter to count pulses and calculate bills. At month's end, a GSM modem attached to the meter replies to a predefined SMS from the utility with the customer's total usage and bill amount. The system is intended to reduce costs and errors from manual billing while increasing convenience for customers and utilities.
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.
Reduce the Internal and External Interruptions and Improving Communications u...IRJET Journal
This document presents a review of a GSM-based monthly electrical energy billing system that sends SMS messages. The system aims to automatically monitor electricity usage, calculate bills, and send SMS messages to utilities and customers to avoid manual billing. It uses a microcontroller connected to an energy meter to count pulses and calculate usage. At month's end, total usage is sent via GSM modem as an SMS to the utility and customer. The system aims to reduce billing errors and hassles for customers. It also allows utilities to remotely monitor usage and disconnect power if needed.
The document discusses an Automatic Meter Reading (AMR) project implemented in Islamabad, Pakistan. It provides background on AMR, describes the previous manual meter reading system, and outlines the tasks assigned to complete the AMR implementation. Key actions taken included installing and fixing defective meters, establishing a communication network, and relocating gateways. This resolved data transfer issues. Achievements included online reading without meter readers, training opportunities, and committee memberships. Results showed improved revenue collection. The conclusion emphasizes hard work, teamwork, and enhancing skills while recommendations suggest expanding AMR to more areas.
The document describes the design of a smart meter that measures power consumption of electrical devices and transmits the data to a power supplier company. It implements the smart meter using a PIC microcontroller that measures voltage and current using analog inputs and algorithms. It displays the measurements on an LCD and transmits the data using a GSM modem. The smart meter also calculates the power factor using timers to measure the phase difference between voltage and current.
IRJET- Energy Meter Reading over InternetIRJET Journal
1. The document proposes a system to remotely read energy meter readings over the internet using IoT technology. It uses sensors to detect voltage and current flowing to appliances, an Arduino board to collect and transmit data, and a GSM module for internet connectivity. Data is sent to a cloud server database.
2. A user portal allows customers to access their energy consumption data, billing information, and pay bills online. This system aims to reduce manual meter reading work and human errors by automating the process using IoT.
IRJET- Design and Implement Mechanism for Efficient Energy Meter using IoTIRJET Journal
This document describes a proposed smart electricity meter system using IoT. The system would automate the manual process of monthly electricity bill calculation and reading. Sensors in the electricity meter would collect real-time energy consumption data and send it wirelessly to a centralized system. This would make the billing process more accurate and efficient by eliminating human error. It could also provide load monitoring to strengthen the electricity distribution system based on usage patterns. The proposed system aims to reduce costs for utilities while providing users with more control over their electricity usage and billing.
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.
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.
This document describes a smart electricity metering system that uses an e-wallet payment system. The system uses an Arduino board connected to current sensors and a GSM modem to automatically read electricity meters and send readings to the utility provider. It also allows customers to pay electricity bills through an e-wallet on their phone. The system aims to reduce workload for meter readers and provide a more convenient digital payment process for customers.
Automatic meter reading (AMR) technology automatically collects utility meter data and transfers it to utility providers. AMR was first developed in the 1970s and allows near real-time meter readings to replace estimated billing. It provides benefits like more accurate billing and easier detection of tampering or leaks but also risks increased monitoring and reduced privacy. Common AMR methods include touch pads, radio frequency networks, mobile drives, and satellite transmitters.
This document describes the design of a digital energy meter with a cost indicator. It has three main parts: a power sensing unit, a power and cost calculation unit, and a display unit using LCD. It measures power consumption and calculates the energy used in kW/h and the corresponding cost based on the tariff rates stored in the microcontroller. The values are displayed on the LCD. It is designed using components like a PIC microcontroller, current and potential transformers, and an LCD for display. The circuit uses a power supply unit consisting of a step-down transformer, rectifier, filters and regulators to provide the necessary power.
Automatic meter reading (AMR) technology uses radio frequency networks to remotely collect utility meter readings, reducing the need for manual readings. AMR systems provide benefits to both electrical companies and customers by automating processes, enabling more precise billing based on actual usage, and detecting tampering. Common AMR technologies include handheld, mobile, and fixed network approaches. A typical AMR system uses a transmitter unit attached to the meter to send usage data via RF signals to a receiver unit, with the data then processed by a central computer system. While complex communication patterns and algorithms pose challenges, AMR allows for streamlined operations and its capabilities are growing to include additional functionalities like event monitoring.
This document provides an overview and specifications for a single phase smart GPRS/GSM meter. It includes the following key points:
1) The meter is designed for residential consumers in both urban and rural areas, with a rated voltage of 230V and maximum current of 5(60)A.
2) Communication is enabled via GPRS/GSM modules using protocols like DLMS TCP/IP and optical ports for local communication.
3) The meter measures active energy import and export, and provides load profile data and billing information with 12 months of billing history storage.
4) Specifications include accuracy class, voltage and frequency ranges, measurement functions, communication protocols and GPRS modem details.
This document discusses an Advanced Metering Infrastructure (AMI) system for electric utilities. It provides timelines for feasibility studies conducted in 2017-2018, a request for proposals, and contract negotiations with the top vendor. The presentation seeks council approval for the final AMI contract and notes installation would take 12-18 months. Key advantages of AMI include improved outage management and customer service through more accurate usage data and automated notifications.
IRJET- Intelligence Transportation System based on IoTIRJET Journal
This document describes an intelligent transportation system that detects vehicle accidents and notifies emergency services. It uses sensors in vehicles to detect accidents and send location information via GSM to ambulances and a server. An Android app allows ambulance drivers to control traffic lights to pass through more efficiently on their way to the accident site. Temperature sensors update patient condition to a hospital webpage. The system aims to reduce emergency response times, which can save lives when injuries occur in accidents. It presents the system architecture and algorithm for automatic accident detection and notification to provide faster emergency assistance.
IRJET - IoT Gas Meters and Management SystemsIRJET Journal
This document describes a project to develop an IoT-based system for automated gas meter reading and billing. The system uses LoRa technology to connect domestic gas meters to gateways and transmit readings to a central server. Commercial meters connect directly via LTE. The server stores meter data and a new web application provides an interface for users and the gas company. The goals are to simplify the process of monthly meter reading and billing by automating readings and removing the need for manual collection of meter data. The system aims to make the gas meter and billing process more efficient and user-friendly.
EFFICIENT POWER THEFT DETECTION FOR RESIDENTIAL CONSUMERS USING MEAN SHIFT DA...ijaia
Energy theft constitutes an issue of great importance for electricity operators. The attempt to detect and reduce non-technical losses is a challenging task due to insufficient inspection methods. With the evolution of advanced metering infrastructure (AMI) in smart grids, a more complicated status quo in energy theft has emerged and many new technologies are being adopted to solve the problem. In order to identify illegal residential consumers, a computational method of analyzing and identifying electricity consumption patterns of consumers based on data mining techniques has been presented. Combining principal component analysis (PCA) with mean shift algorithm for different power theft scenarios, we can now cope with the power theft detection problem sufficiently. The overall research has shown encouraging results in residential consumers power theft detection that will help utilities to improve the reliability, security and operation of power network.
This document describes an IoT-based smart energy meter that was developed to address issues with traditional energy meters. Key features of the smart meter include using an Arduino microcontroller to measure current and voltage from sensors, displaying readings on an LCD screen, and sending readings over WiFi to an IoT platform for remote monitoring of energy usage and costs. The system aims to optimize power usage, reduce theft and tampering, and eliminate the need for manual meter readings through remote access and automation.
IRJET - Accident Monitoring and Rescue SystemIRJET Journal
This document describes a proposed accident monitoring and rescue system using IoT technologies. The system uses sensors like an accelerometer and GPS module embedded on a CC3200 microcontroller board to detect if an accident occurs. If a hard impact is detected by a change in acceleration beyond a threshold, the GPS location, temperature readings, and accelerometer values would be sent as an SMS using cloud services like Twilio to alert emergency contacts and services. The goal is to help rescue victims and reduce response times in the event of a road accident.
A Generalized Multistage Economic Planning Model for Distribution System Cont...IJERD Editor
This document describes a smart energy meter system that allows for wireless billing and load management. The system consists of an energy meter installed at a customer's location that measures electricity usage and transmits readings wirelessly. A billing station then receives the data, calculates customer bills, and sends bills via text message. The meter can also send warning texts and disconnect power if usage exceeds limits. The system aims to reduce energy waste, provide more convenient billing, and allow remote disconnection for non-payment. It was found to be technically, economically, and commercially feasible to automate billing and load management using wireless communication compared to traditional manual processes.
IRJET - Electricity Energy Meter using IoTIRJET Journal
This document describes an IoT-based electricity energy meter that uses an ESP8266 Wi-Fi module. The energy meter can not only send SMS/email notifications of electricity bills but also allow users to monitor power usage anytime from anywhere using a mobile application. The energy meter provides bill amount notifications after each month and a website for users to pay their bills. If payment is delayed beyond a set time, power will automatically be shut off.
A Review on GSM Based Monthly Electrical Energy Billing Through SMSIRJET Journal
This document presents a review of a GSM-based monthly electrical energy billing system that sends SMS messages. The system aims to automatically monitor electricity usage, calculate bills, and send SMS messages to utilities and customers to avoid manual billing. It uses a microcontroller connected to an energy meter to count pulses and calculate bills. At month's end, a GSM modem attached to the meter replies to a predefined SMS from the utility with the customer's total usage and bill amount. The system is intended to reduce costs and errors from manual billing while increasing convenience for customers and utilities.
This document discusses the application of smart energy meters in the Indian energy context. It begins with an introduction to the increasing demand for electricity in India and issues like energy theft and inaccurate metering. It then discusses how smart meters can address these issues through automated meter reading and two-way communication. The key components and functioning of a smart metering system are explained, including the microcontroller program, real-time clock, communication port, and software. Finally, the document provides a case study where a smart meter is installed in a residential building to monitor parameters like voltage, current and power factor over a period of time.
IRJET - Intelligent Energy Monitoring System using Web AccessIRJET Journal
This document describes an intelligent energy monitoring system that uses web access to optimize energy usage. The system collects energy consumption data from homes and businesses using sensors connected to a NodeMCU microcontroller. The NodeMCU transmits the data via WiFi to a central server. The server analyzes the data using ThingSpeak analytics to generate detailed reports and visualizations of energy usage. This allows users to better manage their home energy usage. The system aims to reduce energy wastage, avoid power theft, and minimize the need for manual data collection from energy meters.
IRJET - Wireless Energy Meter with Home AutomationIRJET Journal
This document summarizes a research paper that proposes a wireless energy meter system with home automation capabilities using Internet of Things (IoT) technology. The system uses a NodeMCU microcontroller board connected to a static watt-hour energy meter to monitor energy consumption data. It transmits the data via Wi-Fi to a remote server and android application. The application allows users to view energy usage statistics and control connected home appliances remotely. The system aims to provide more accurate energy monitoring compared to traditional meters, reduce errors in billing, and give users control over appliances from anywhere via the internet. It was found to be a low-cost solution, coming in at around 1430 INR total when added as upgrades to existing energy meters.
This document provides an overview of smart grid deployment in the United States, including smart meter infrastructure and benefits. It discusses the status of smart meter deployments across the country, with 46 million smart meters installed so far and a goal of 65 million by 2015. Nearly 75% of smart meters have been installed in 10 states that have driven adoption through policies, incentives and experience. Smart meters provide benefits like remote meter reading, outage detection, and voltage management. The document also defines smart meters and meter systems, outlining the evolution from automated meter reading to advanced metering infrastructure. Key benefits for utilities include reduced costs from limited truck rolls and improved outage management. Metering operations play an important role in smart grid projects.
IRJET- Automated Energy Metering SystemIRJET Journal
The document proposes an automated energy metering system to address issues with existing analog and digital energy metering. The system uses wireless sensors connected to each load to monitor power usage, which is sent to a controller and then to the customer and substation via wireless network. This allows customers to track daily usage on a mobile app to reduce waste, and helps identify power theft. It automates billing and payment through the app. By monitoring each appliance, it eliminates human errors in meter reading and reduces costs.
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.
IRJET-IoT based Smart Electricity Meter and Power Theft DetectionIRJET Journal
This document proposes an IoT-based smart electricity meter and power theft detection system. The system uses a microcontroller connected to an electricity meter to automatically read consumption data. It sends this data daily to a database via the internet and to users via GSM. Users can access their consumption via an app or website. If consumption exceeds a limit, the power supply is automatically cut off. The system also detects power theft by comparing meter readings at the distribution post and user end - if there is a discrepancy, a theft message is sent to the utility and user. This automated system aims to improve billing accuracy, provide real-time usage data to users, and help reduce power theft.
IRJET - RFID Based Smart Electricity Bill Payment and Energy Sharing System t...IRJET Journal
This document describes a proposed RFID-based smart electricity billing and energy sharing system using IoT. The system aims to minimize queues for electricity bill payment and restrict usage if bills are unpaid. It uses an RFID reader to read customer information, displays energy usage and amount on an LCD, and sends usage data to a server via IoT. If payment is not made by the due date, connection is cut through IoT. Payment can be made using a prepaid RFID card and alerts are sent when balance is low. The system is intended to improve energy management, conservation and reduce disputes over billing. It keeps track of real-time usage to minimize billing disagreements.
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 provides an overview and introduction to a proposed smart and intelligent GSM-based automatic meter reading and control system. It discusses the background of GSM networks and their adoption worldwide. It then describes an automatic meter reading system that can collect meter readings without site visits using technologies like GSM, and outlines the advantages this system provides over conventional methods. Finally, it presents the proposed system architecture and methodology for implementing a GSM-based automatic meter reading and control system.
Design a Talking Energy Meter based on MicrocontrollerIRJET Journal
This document describes the design of a talking energy meter based on a microcontroller. The talking energy meter is designed to alert consumers when their electricity usage exceeds a set threshold. It uses an ATMEGA328 microcontroller connected to an energy meter, voice module, LCD display, GSM module, and IR sensor. When the energy meter readings exceed the threshold, the microcontroller drives the voice module to play a pre-recorded alert message in the local language. It also sends SMS alerts about monthly billing status and usage. This helps consumers monitor and reduce their electricity consumption in a user-friendly manner.
This document describes a smart energy meter system that uses GSM technology to send electricity meter readings to a central server and alert users when their consumption is approaching a higher billing threshold. The system uses an ARM7 microcontroller connected to an energy meter, GSM module, LCD display and relay circuit. It takes readings from the energy meter periodically and sends them via GSM to be stored in a database. It also alerts users via SMS before their consumption increases and leads to a higher billing rate. This allows users to reduce usage and lower their bills. When bills are unpaid, the relay circuit disconnects power supply to the meter until payment is received.
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.
Intelligent Power Meter using GSM network and Android Applicationshan km
Now a days everything is being automated. The electrical energy provider still uses traditional methods for reading the energy consumed by individual consumer. The proposed system automatically reads the energy consumed and send it to the electricity provider using the short messaging services (SMS) and Android app.
This is a complete automated solution for the existing energy distribution and monitoring system in
India,which can monitor the meter readings continuously and take necessary actions to maintain the power
grid stable. A Power Line Communication (PLC) based modem is integrated with each electronic energy
meter. Through PLC the meters communicate with the coordinator. Coordinator makes use of GPRS modem
to upload/download data to/from internet. A personal computer with an internet connection at the other end,
which contains the database acts as the billing point. Live meter reading sent back to this billing point
periodically and these details are updated in a central database. An interactive, user friendly graphical
interface is present at user end. All the energy logs, notices from the Government, billing details and average
statistics will be available here. The system splits the loads into critical loads and non critical loads. This
makes the distribution system more intelligent. More over prior information about the power cuts can be
done. We can easily implement many add-ons such as energy demand prediction, real time dynamic tariff as
a function of demand and supply and so on.
This is a complete automated solution for the existing energy distribution and monitoring system in
India,which can monitor the meter readings continuously and take necessary actions to maintain the power
grid stable. A Power Line Communication (PLC) based modem is integrated with each electronic energy
meter. Through PLC the meters communicate with the coordinator. Coordinator makes use of GPRS modem
to upload/download data to/from internet. A personal computer with an internet connection at the other end,
which contains the database acts as the billing point. Live meter reading sent back to this billing point
periodically and these details are updated in a central database. An interactive, user friendly graphical
interface is present at user end. All the energy logs, notices from the Government, billing details and average
statistics will be available here. The system splits the loads into critical loads and non critical loads. This
makes the distribution system more intelligent. More over prior information about the power cuts can be
done. We can easily implement many add-ons such as energy demand prediction, real time dynamic tariff as
a function of demand and supply and so on.
This document summarizes a proposed cognitive energy distribution system for India. The system uses power line communication between electronic energy meters and coordinators. Meters communicate meter readings to coordinators via PLC, and coordinators upload data to a central database via GPRS. The system allows for remote meter reading and monitoring to reduce energy theft and inefficiencies. It also enables features like critical and non-critical load control, dynamic tariffs based on demand, and energy demand prediction to improve distribution system stability and reliability.
Similar to Implications of implementation of smart meters (20)
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
Assessment and Planning in Educational technology.pptxKavitha Krishnan
In an education system, it is understood that assessment is only for the students, but on the other hand, the Assessment of teachers is also an important aspect of the education system that ensures teachers are providing high-quality instruction to students. The assessment process can be used to provide feedback and support for professional development, to inform decisions about teacher retention or promotion, or to evaluate teacher effectiveness for accountability purposes.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
हिंदी वर्णमाला पीपीटी, hindi alphabet PPT presentation, hindi varnamala PPT, Hindi Varnamala pdf, हिंदी स्वर, हिंदी व्यंजन, sikhiye hindi varnmala, dr. mulla adam ali, hindi language and literature, hindi alphabet with drawing, hindi alphabet pdf, hindi varnamala for childrens, hindi language, hindi varnamala practice for kids, https://www.drmullaadamali.com
The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
1. Implications of Implementing
Smart Meters In AP, Bihar and WB
by
Aniruddha Choudhury
MBA (Power Management),
B.tech (IT)
**As per latest information available publicly
2. Business Problem
There have been serious considerations in implementations of Smart Meters throughout the country. The objective is to install 300 million smart meters over the
next 3 years.
According to the Power ministry the DISCOMS loose nearly one-fifth of the total revenue due to losses pertaining to theft and distribution and transmission
losses, incorrect billing and inefficient collections.
Thus, serious measures are needed to overcome this hurdle and to empower the DISCOMS to reduce their losses.
Demand Side Management
Demand side management (DSM) is defined by the Forum of Regulators (FOR) as ‘the planning, implementation and monitoring of utility’s activities designed to
encourage customers to amend their electrical consumption patterns, both with respect to timing and level of electricity demand so as to help the customers to use
electricity more efficiently’.
What are Smart Meters?
A smart meter is a digital measuring device established with the feature to the utility to keep a -two-way communication among the consumer metering device
and the utility and it additionally manages the electric equipment of the user. A smart meter can communicate the actual time of electricity-intake of an electrical
system in very short durations of time while a smart reader is attached to the utility that's able to transmit the energy utilization on an actual-time basis.
Advantages of Smart Meters
• Accuracy in meter reading
• Data recording
• Real time tracking
• Automatic outage detection
• Easier Connect/Disconnect
3. Smart Meter Architecture
Consumer
Suitable Communication Technology
(GPRS/DCU/Gateway)
Head End System
(HES)
Consumer
Suitable Communication Technology
(GPRS/DCU/Gateway)
Consumer
Consumer
Consumer
Meter Data
Management
System
(MDMS)
DISCOM
SAP
The consumers who are fitted with Smart Meters will directly send the data of
usage patterns and load and consumption will be relayed to the Head End
System which is a server which collects all meter data.
The HES relays the data to the MDMS (Meter data Management System)
server which will collect all data related to the consumer and will send to the
Discom SAP server for billing.
The MDMS will monitor the consumption pattern of the users and will be able
to analyse as well if it is designed further
Assumptions
It is assumed as per market trend:
Unit cost of smart meters = Rs 3500
Unit cost of meter box = Rs 500
Unit cost of DCU = Rs 25000 and per 100 consumers 1
DCU is needed
Installation cost at site = Rs 500
Smart Meter AMC @ 2.5% of cost Per annum
HES AMC @ 15% of cost per annum
MDMS AMC @ 15 % of cost per annum
Application Maintenance of HES and MDMS @ 10 % of
cost per annum
O&M for repairs and up gradation is taken to be Rs 250
Per customer per annum
Communication charges for WAN (leased lines/GPRS) is
taken to be 1 crore per annum per 25 Lakh customers
It is assumed that Smart Meter Implementation will reduce
Distribution losses by 1% minimum
Note: Assumptions are based on the report on Smart meters by
Indian Smart Grid Forum dated July 2016
5. Andhra Pradesh
Population
Crores
Population
group
Size(Crores)
No of
Connections
No of
Feeders
No of
Transfor
mers
%ge AT&C loss
Supply
(Million
KWh)
Consum
ption
(Million
KWh)
Million
Units
Loss
Loss
(Crores)
Energy purchase
rate/unit
4
2.82 0.0000004 7014925.00 1605 53704 33.37% 13.41% 18361 15899 2462 984.80
Daily Produce MU 146.05 5.63 0.0000004 14004975.00 8893 661037 66.63% 13.41% 36657 31742 4915 1966.00
Family size 4.02 8.45 0.0000004 21019900.00 10498 714741 100.00% 13.41% 55019 47641 7378 2950.80
Urban
Rural
Total
**Data as per latest census report, State latest Utility
reports, Losses from UDAY website, CEA
Population size 8.45 Crores
Urban population of 2.82 crores as 33.37% of total and Rural population of 5.63 crores as
66.63 % of total (as per latest reports of State Government and latest Census)
Average Family size was found to be 4.02 for the state from various reports
With that the total number of connections is calculated by finding the total number of families
from the data
According to reports of State Utilities Daily produce of the state was found to be 146.05 MU,
with that the total supply of the State is calculated and found to be 52578 MU and in actuals it
was 55019 MU
With an average energy purchase rate of Rs 4/- and AT&C loss of 13.41%, The total loss
amounted in 2950 Crores which was calculated in the Excel Tool Created for the purpose
**As per Urja website
6. Cost Implications and ROI for Implementation of Smart Meters in Andhra Pradesh
Scenario I : Implementation on all feeders in AP
In the Excel tool created the yellow marked cell are taken as input from the above Andhra Pradesh
demography data from the table given in Sampling.
Average monthly units consumed is around 2600 units by the total connections of AP calculated as
per latest demography data of states.
With a declared AT&C loss of 13.41% the state seems to loose around 88.5 Billion Units of energy
yearly with a monthly loss calculated gross of around 7.3 Billion units.
The costing for the system is taken higher than report of ISGF and the tool calculates the average of
the total state from the Demographic data taken as input
The total cost is divided into, Cost at individual premises, Cost at neighbourhood Network and
System cost
o Cost at Individual Premises takes in considerations of the cost at the premise of the
consumer
o Cost at neighbourhood Network comprises of the Communication charges which can be
GPRS and can be implemented by complex technologies
o Cost of the System is calculated on the basis on inputs from primary sources and ISGF
reports and has been downscaled in this report to showcase the sure short way towards
cleaner energy.
A rough O&M cost has been assumed based on the report of ISGF and rough approximate state
specific value is calculated
Over all the report the loss reduction is kept to only 2% due to implementation of Smart Metering
Nos here are total number of connections
Feeders Per Feeder Total
10498 2002 21019900.00
Usage %ge Nos
Monthly usage
min (units)
Total KWh
Urban 33.37% 7014925 2617 18,36,10,00,000
Rural 66.63% 14004975 2617 36,65,70,00,000
Monthly 55,01,80,00,000
Yearly 6,60,21,60,00,000
Percent Monthly KW Yearly KW
13.41% 7,37,79,13,800 88,53,49,65,600
2%
All Consumers at all feeders
Scenario I
On All Feeders
AT&C losses @ 25%
Loss Reduction
No of Connections
7. Cost at Individual Premises
Item
Unit
Cost(INR)
Quantity Total Cost (INR)
Smart meter with
communications module 3,500 2,10,19,900 73,56,96,50,000
Meter box 500 2,10,19,900 10,50,99,50,000
Installation charges 500 2,10,19,900 10,50,99,50,000
Total 4,500 2,10,19,900 94,58,95,50,000
At all feeders
Scenario - I
Quantity is the number of connections
Cost at Neighbourhood Network
No of DCU
Per DCU 100 connections 210199
Item
Unit Cost
(INR)
Quantity Total Cost(INR)
Data Concentrator
Unit/Gateway* 25,000 2,10,199 5,25,49,75,000
Installation and setting up
of network 1,500 2,10,199 31,52,98,500
5,57,02,73,500Total
Scenario - I
At All feeders
Note: It is assumed that per 100 customers 1 Gateway/Data
Concentrator is needed
So, the average cost at the neighbourhood networking is around
INR 557 crores for all feeders serving total Andhra Pradesh
consumers.
At the Neighbourhood network, suitable communication
technology available can be used, here for the report
purpose it is assumed to be in a simple network connection
with efficient servers.
So there is a component cost considered for gateways for
the HES, MDMS, Meters and DISCOM servers to
communicate
Cost Implications and ROI for Implementation of Smart Meters in Andhra Pradesh
8. Cost Implications and ROI for Implementation of Smart Meters in Andhra Pradesh
Systems Cost
Per 10,00,000 Customers
Item
Unit Cost
(INR)
Quantity Total Cost
Head End System (HES) 20,00,00,000 21 4,20,00,00,000
SCM 4,00,00,000 21 84,00,00,000
Meter Data Management
System (MDMS) 20,00,00,000 21 4,20,00,00,000
Integration of systems 50,00,00,000 21 10,50,00,00,000
19,74,00,00,000Total
**Cost taken As per report by ISGF
The number of systems are calculated per 10 Lakh customers and the cost
associated with it calculated from primary data and secondary data from the
market and experts in the domain
O&M Cost Approximates
Item
Annual Cost
(INR)
Lifecycle
Cost(INR)
Life Cycle
Annual Maintenance Charges (AMC) of
Smart Meters @ 2.5% p.a. 2,36,47,38,750 23,64,73,87,500 10 Years
Annual Maintenance Charges (AMC) of
DCU/Gateway @2.5% p.a. 13,92,56,838 1,39,25,68,375 10 Years
Annual Maintenance Charges (AMC) of
Head End System (HES) at 15% p.a. 63,00,00,000 6,30,00,00,000 10 years
Annual Maintenance Charges (AMC) of
Meter Data Management System (MDMS)
at 15% p.a. 63,00,00,000 6,30,00,00,000 10 Years
Application Maintenance Support (AMS)
of MDMS and HES @ 10% p.a. 84,00,00,000 4,20,00,00,000 5 Years
O&M for attending to
repairs/replacements/customer
complaints/upgradation (Rs 250 per
customer yearly) 5,25,49,75,000 52,54,97,50,000 10 Years
Communication charges for WAN (leased
lines/GPRS) 21,00,00,000 2,10,00,00,000
Total 10,06,89,70,588 96,48,97,05,875
10 Years
**Percentages taken as per report by ISGF
Scenario - I
At all Feeders
The validation of the percentages can be found in the reports
of ISGF, this report is merely a tool so showcase the return
on investment for the DISCOMs as Implications of Smart
Metering and the advantages associated with it as per
demography of states
9. Cost Implications and ROI for Implementation of Smart Meters in Andhra Pradesh
TC for deployed system
Items Cost (INR) Remarks
Cost of equipment at Individual premises 94,58,95,50,000
Cost of Neighbourhood Network 5,57,02,73,500
System Cost 19,74,00,00,000
Total (I) 1,19,89,98,23,500
O&M Cost (including charges for
communication) for 10 years (II) 96,48,97,05,875
Total for 10 Years (III) = (I) + (II) 2,16,38,95,29,375
Overhead, contingency and other
unforeseen/contingency @ 10% of above,
i.e. (IV) = 10% of (III) 21,63,89,52,938
Grand Total 2,38,02,84,82,313
One time Cost
10 Years, for some
items AMC is for 5
years
10 Years
Scenario - I
At all feeders
Per Customer Costing for 10 Years 11323.95883
Per Customer Costing for 1 Year 1132.395883
Per Customer Costing for 1 month 37.74652945
Per customer Cost associated
If invested, per customer cost per month is at 38 INR, which can be
accumulated and billed as done in cross subsidy to recover the cost, if push
comes to shove.
Else it can be seen from the below table that from reduction in 2% loss due to
T&D alone INR 500 crore can be saved alone
10. Cost Implications and ROI for Implementation of Smart Meters in Andhra Pradesh
Note 1: This value is intentionally taken
higher than the present value for
incorporating the inflation over the
lifetime of the AMI project which is
considered as 10 years
Note 2: This excludes the loss of revenue
to the DISCOM in case of DT failure
Note 3: AT&C losses is taken as per
UDAY website calculated out of Total
Energy Required MU per year in the state
It can be seen that on implanting on all feeders for all consumers the cost can be recovered in 2.59 years taken the assumptions are correct as
per ISGF report
Here ROI is calculated on the assumptions that
o There will be savings for allowances for manual meter reading and billing mechanism
o There will be savings for faster detection of outages
o There will be savings as AT&C losses and theft can be controlled by implementation of pre-paid metering in effected areas
o There is savings associated with faster detection of failures
o As per Ministry of Power Data, Andhra Pradesh looses 9.4% of power due to inefficient billing and theft, which can be controlled using
Smart Metering Architecture
o Only 2% reduction on loses is considered for this report and tool
Items Cost Remarks Yearly Benefits
Savings on meter reading cost Including (salary of
meter readers, allowances and traveling cost of
meter readers, the stationery used ) - (I)
INR 15 Per customer per month
** Value taken as per ISGF report
3,78,35,82,000
Cost savings associated with
disconnections/reconnections in case of outages and
failures - (III)
Taken for 1 % of customers per month with a
average cost of INR 500 per visit to the premises
** Assumption Taken as per ISGF report
10,50,99,500
Annual savings due to reduction in AT&C losses
(considering INR 3 as avg. tariff). This includes energy
accounting - (IV)
% reduction
5,31,20,97,936
9,20,07,79,436
92,00,77,94,360
Payback Period (Years) Total Cost of Deployed system/Total Benefits 2.59
Annual Benefits (I+II+III+IV)
Total Benefits For 10 Years
Scenario - I
At all Feeders
11. Cost Implications and ROI for Implementation of Smart Meters in Andhra Pradesh
Items Cost Remarks Yearly Benefits
Savings on meter reading cost Including (salary of meter
readers, allowances and traveling cost of meter readers, the
stationery used ) - (I)
INR 15 Per customer per month (as per ISGF)
** Value taken as per ISGF Report
1,26,26,86,500
Cost savings associated with disconnections/reconnections in
case of outages and failures - (III)
Taken for 1 % of customers per month with a
average cost of INR 500 per visit to the premises
**Assumption as per report of ISGF
3,50,74,625
Annual savings due to reduction in AT&C losses (considering
INR 3 as avg. tariff). This includes energy accounting - (IV)
1 % reduction
1,77,27,91,272
3,07,05,52,397
30,70,55,23,970
Payback Period (Years) Total Cost of Deployed system/Total Benefits 3.51
Scenario - II
Urban Feeders only
Annual Benefits (I+II+III+IV)
Total Benefits For 10 Years
Similarly the Scenario II is calculated from the demography of AP and
It can be seen that on implanting on all feeders for Urban consumers the cost can be recovered in 3.51 years taken the assumptions are correct
as per ISGF report
Here ROI is calculated on the assumptions that
o There will be savings for allowances for manual meter reading and billing mechanism
o There will be savings for faster detection of outages
o There will be savings as AT&C losses and theft can be controlled by implementation of pre-paid metering in effected areas
o There is savings associated with faster detection of failures
o As per Ministry of Power Data, Andhra Pradesh looses 13.41% of power due to inefficient billing and theft, which can be controlled using
Smart Metering Architecture
o Only 2% reduction on loses is considered for this report and tool
12. Bihar
Population
Crores
Population
group
Size(Crores)
No of
Connections
No of
Feeders
No of
Transformer
s
%ge
AT&C
loss
Supply
(Million
KWh)
Consumption
(Million KWh)
Million
Units
Loss
Loss (Crores)
Energy purchase
rate/unit
4.02
1.176 0.0000006 2138182.00 591 14442 11.30% 27.39% 3954 2871 1083 435.37
Daily Produce MU 103.68 9.234 0.0000006 16789091.00 1572 95303 88.70% 27.39% 31046 22543 8503 3418.21
Family size 5.5 10.41 0.0000006 18927273.00 2163 109745 100.00% 27.39% 35000 25414 9587 3853.57
Urban
Rural
**Data as per latest census report, State latest Utility reports,
Losses from UDAY website, CEA
Total
Population size is around 10.4 crores
With an Urban constituency of 33.37%, ie 2.82 crores and rural constituency of 66.63 % amounting to
5.63 crores as per State Government reports and latest Census reports
Average family size was found to be 5.5 for the state from state government reports
The daily produce was found to be 146.05 MU with a total of 55000 MU in a year
Average AT&C loss for the state was found to be 27.39%
With an average Energy purchase cost of 4.02 INR the losses surmount to INR 3800 crores
**Here it can bee seen that on an average Bihar faces 23 %
of losses in Theft and Distribution losses as per URJA
website but UDAY website reports a average loss of 27.39%
in Bihar
13. Cost Implications and ROI for Implementation of Smart Meters in Bihar
Scenario I : Implementation on all feeders in Bihar
Feeders Per Feeder Total
2163 8750 18927273.00
Usage %ge Nos
Monthly usage
min (units)
Total KWh
Urban 11.30% 2138182 1849 3,95,40,00,000
Rural 88.70% 16789091 1849 31,04,60,00,000
Monthly 35,00,00,00,000
Yearly 4,20,00,00,00,000
Percent Monthly KW Yearly KW
27.39% 9,58,65,00,000 1,15,03,80,00,000
2%
All Consumers at all feeders
Scenario I
On All Feeders
AT&C losses @ %
Loss Reduction
No of Connections
Loss reduction is taken as only 2% for the calculation of ROI
With a loss of 27.39% Bihar looses 116 BU per year which is a
huge amount for a DISCOM
Total number of connections are calculated based on
demography data as presented and as per family size of the
State as per Census
With an average AT&C loss of 27.39% the State seems to loose
115 BU every year with a monthly gross loss of 9.5 BU which is
a huge amount for a DISCOM to bear
The total cost is divided into, Cost at individual premises, Cost
at neighbourhood Network and System cost
o Cost at Individual Premises takes in considerations of the
cost at the premise of the consumer
o Cost at neighbourhood Network comprises of the
Communication charges which can be GPRS and can be
implemented by complex technologies
o Cost of the System is calculated on the basis on inputs
from primary sources and ISGF reports and has been
downscaled in this report to showcase the sure short way
towards cleaner energy.
14. Cost Implications and ROI for Implementation of Smart Meters in Bihar
Cost at Individual Premises
Item
Unit
Cost(INR)
Quantity Total Cost (INR)
Smart meter with
communications module 3,500 1,89,27,273 66,24,54,55,500
Meter box 500 1,89,27,273 9,46,36,36,500
Installation charges 500 1,89,27,273 9,46,36,36,500
Total 4,500 1,89,27,273 85,17,27,28,500
At all feeders
Scenario - I
Total number of connections are taken as input from
Government sources
Quantity is the number of connections
Cost At Neighbourhood
No of DCU
Per DCU 100 connections 189273
Item
Unit Cost
(INR)
Quantity Total Cost(INR)
Data Concentrator
Unit/Gateway* 25,000 1,89,273 4,73,18,25,000
Installation and setting up
of network 1,500 1,89,273 28,39,09,500
5,01,57,34,500Total
Scenario - I
At All feeders
Note: It is assumed that per 100 customers 1 Gateway/Data
Concentrator is needed
So, the average cost at the neighbourhood networking is around
INR 501 Crores for all feeders serving Bihar Total consumers.
15. Systems Cost
Per 10,00,000 Customers
Item
Unit Cost
(INR)
Quantity Total Cost
Head End System (HES) 20,00,00,000 19 3,80,00,00,000
SCM 4,00,00,000 19 76,00,00,000
Meter Data Management
System (MDMS) 20,00,00,000 19 3,80,00,00,000
Integration of systems 50,00,00,000 19 9,50,00,00,000
17,86,00,00,000Total
**Cost taken As per report by ISGF
The number of systems are calculated per 10 Lakh customers and the
cost associated with it calculated from primary data and secondary
data from the market and experts in the domain
System cost is taken as per ISGF report and other primary expert
sources and here it has been kept little high to compensate for errors
O&M Cost approximation
Item
Annual Cost
(INR)
Lifecycle
Cost(INR)
Life Cycle
Annual Maintenance Charges (AMC) of
Smart Meters @ 2.5% p.a. 2,12,93,18,213 21,29,31,82,125 10 Years
Annual Maintenance Charges (AMC) of
DCU/Gateway @2.5% p.a. 12,53,93,363 1,25,39,33,625 10 Years
Annual Maintenance Charges (AMC) of
Head End System (HES) at 15% p.a. 57,00,00,000 5,70,00,00,000 10 years
Annual Maintenance Charges (AMC) of
Meter Data Management System (MDMS)
at 15% p.a. 57,00,00,000 5,70,00,00,000 10 Years
Application Maintenance Support (AMS)
of MDMS and HES @ 10% p.a. 76,00,00,000 3,80,00,00,000 5 Years
O&M for attending to
repairs/replacements/customer
complaints/upgradation (Rs 250 per
customer yearly) 4,73,18,18,250 47,31,81,82,500 10 Years
Communication charges for WAN (leased
lines/GPRS) 19,00,00,000 1,90,00,00,000
Total 9,07,65,29,825 86,96,52,98,250
10 Years
**Percentages taken as per report by ISGF
Scenario - I
At all Feeders
Communication charges are taken as 10 lakhs for each 10
lakh consumers
Cost Implications and ROI for Implementation of Smart Meters in Bihar
16. TC for deployed system
Items Cost (INR) Remarks
Cost of equipment at Individual premises 85,17,27,28,500
Cost of Neighbourhood Network 5,01,57,34,500
System Cost 17,86,00,00,000
Total (I) 1,08,04,84,63,000
O&M Cost (including charges for
communication) for 10 years (II) 86,96,52,98,250
Total for 10 Years (III) = (I) + (II) 1,95,01,37,61,250
Overhead, contingency and other
unforeseen/contingency @ 10% of above,
i.e. (IV) = 10% of (III) 19,50,13,76,125
Grand Total 2,14,51,51,37,375
One time Cost
10 Years, for some
items AMC is for 5
years
10 Years
Scenario - I
At all feeders
Cost Implications and ROI for Implementation of Smart Meters in Bihar
Per Customer Costing for 10 Years 11333.65263
Per Customer Costing for 1 Year 1133.365263
Per Customer Costing for 1 month 37.77884209
Per customer Cost associated
On an average, per consumer cost per month is around
INR 38 on implementation on all feeders
17. ROI
Cost Implications and ROI for Implementation of Smart Meters in Bihar
Items Cost Remarks Yearly Benefits
Savings on meter reading cost Including (salary of
meter readers, allowances and traveling cost of
meter readers, the stationery used ) - (I)
INR 15 Per customer per month
** Value taken as per ISGF report
3,40,69,09,140
Cost savings associated with
disconnections/reconnections in case of outages and
failures - (III)
Taken for 1 % of customers per month with a
average cost of INR 500 per visit to the premises
** Assumption Taken as per ISGF report
9,46,36,365
Annual savings due to reduction in AT&C losses
(considering INR 3 as avg. tariff). This includes energy
accounting - (IV)
% reduction
6,90,22,80,000
10,40,38,25,505
1,04,03,82,55,050
Payback Period (Years) Total Cost of Deployed system/Total Benefits 2.06
Annual Benefits (I+II+III+IV+V+VI)
Total Benefits For 10 Years
Scenario - I
At all Feeders
Note 1: This value is intentionally taken higher than the present
value for incorporating the inflation over the lifetime of the AMI
project which is considered as 10 years
Note 2: This excludes the loss of revenue to the DISCOM in case
of DT failure
Note 3: AT&C losses is taken as per UDAY website calculated
out of Total Energy Required MU per year in the state
With the above bare minimum benefits taken from ISGF
report, we can see that the cost to the company can be
recovered in around 2.06 years with only 2% reduction
in losses considered if implemented on all feeders
18. Items Cost Remarks Yearly Benefits
Savings on meter reading cost Including (salary of meter
readers, allowances and traveling cost of meter readers, the
stationery used ) - (I)
INR 15 Per customer per month (as per ISGF)
** Value taken as per ISGF Report
38,48,72,760
Cost savings associated with disconnections/reconnections in
case of outages and failures - (III)
Taken for 1 % of customers per month with a
average cost of INR 500 per visit to the premises
**Assumption as per report of ISGF
1,06,90,910
Annual savings due to reduction in AT&C losses (considering
INR 3 as avg. tariff). This includes energy accounting - (IV)
% reduction
77,97,60,432
1,17,53,24,102
11,75,32,41,020
Payback Period (Years) Total Cost of Deployed system/Total Benefits 4.96
Scenario - II
Urban Feeders only
Annual Benefits (I+II+III+IV+V+VI)
Total Benefits For 10 Years
Cost Implications and ROI for Implementation of Smart Meters in Bihar
Return on investment in 4.96 years with only 2%
reduction in loses and some minimal benefits
assumed as per report of ISGF if implemented on
urban feeders only
Note 1: This value is intentionally taken
higher than the present value for
incorporating the inflation over the lifetime
of the AMI project which is considered as
10 years
Note 2: This excludes the loss of revenue to
the DISCOM in case of DT failure
Note 3: AT&C losses is taken as per UDAY
website calculated out of Total Energy
Required MU per year in the state
19. Amount Unit Amount Unit
1 No of Connections 2,10,19,900.00 Nos 7014925 Nos
2 Losses 13.41% percent 13.41% percent
3 Reduction in losses 2% percent 2% percent
4 Feeders 10498 Nos 1605 Nos
5 TC of the Deployed System 2,38,02,84,82,313 INR 1,07,75,59,46,375 INR
6 Total Benefits 92,00,77,94,360 INR 30,70,55,23,970 INR
7 Payback Period 2.59 Years 3.51 Years
8 Per Connection costing per month 37.75 INR 51.20318292 INR
9 Savings on Meter Reading allowances 15 INR 15 INR
10
Disconnection/Reconnection is taken @
for the whole year
1% percent 1% percent
11
Actual Disconnections/Reconnection
losses
Amount Unit Amount Unit
1 No of Connections 18927273.00 Nos 2138182 Nos
2 Losses 27.39% percent 27% percent
3 Reduction in losses 2% percent 2% percent
4 Feeders 2163 Nos 591 Nos
5 TC of the Deployed System 2,14,51,51,37,375 INR 58,34,51,08,250 INR
6 Total Benefits 1,04,03,82,55,050 INR 11,75,32,41,020 INR
7 Payback Period 2.06 Years 4.96 Years
8 Per Connection costing per month 37.77884209 INR 90.95750229 INR
9 Savings on Meter Reading allowances 15 INR 15 INR
10
Disconnection/Reconnection is taken @
for the whole year 1%
percent 1% percent
Amount Unit Amount Unit
1 No of Connections 20372768.00 Nos 6492801 Nos
2 Losses 19.80% percent 20% percent
3 Reduction in losses 2% percent 2% percent
4 Feeders 10498 Nos 1605 Nos
5 TC of the Deployed System 2,29,98,49,53,000 INR 1,00,87,52,22,938 INR
6 Total Benefits 43,44,04,91,200 INR 13,84,50,03,450 INR
7 Payback Period 5.29 Years 7.29 Years
8 Per Connection costing per month 37.62947234 INR 51.78824103 INR
9 Savings on Meter Reading allowances 15 INR 15 INR
10
Disconnection/Reconnection is taken @
for the whole year
1% percent 1% percent
11
Actual Disconnections/Reconnection
loss
lakhs INR3850
Scenario II
Scenario I Scenario II
Bihar
WB
Scenario I Scenario II
AP
Scenario I
As per the Analysis it
can be concluded that
If minimum 2 % of losses are
reduced there is a pretty good
ROI on implementing Smart
Meters
AP DISCOM can recover their
cost for implementing the
system in 2.6 years, if
implemented on all feeders
Bihar DISCOM can recover the
cost by 2.06 years if
implemented on all feeders
West Bengal DISCOM can
recover their cost in 5.29 years