Unit 5 discusses smart power grid systems. It covers topics like power grid operation, vertically integrated utilities vs market structures, load frequency control, automatic generation control, and operating reserves. A key point is that smart power grids allow two-way communication between suppliers and consumers to balance supply and demand more efficiently. This helps optimize grid operations and lower costs.
Automated Solar Tracking System for Efficient Energy Utilizationvivatechijri
This paper proposes a project that involves an automated solar tracking system which will make use
of LDR’s to track the position of sun. The output of LDR’s will be compared and analyzed to provide correct
alignment of the solar panel. Also another tracking technique is being implemented along, which uses the relation
of sun earth position at a given location. This telemetric data is given to microcontroller which will drive the
motors to align the solar panel. This is useful during cloudy weather and rainy days when it is difficult to check
the position of sun. Solar panels give output efficiency of around 15% to 20% based on the type of panel. The use
of solar tracking system increases it to a range of about 30% to 35%. This project further involves use of reflective
sheets on the sides of solar panel which will concentrate the reflected rays on the panel. Due to this the efficiency
is further increased around 40%. This project is a cost effective solution for stationary solar systems to increase
efficiency.
International Journal of Engineering Research and Applications (IJERA) is a team of researchers not publication services or private publications running the journals for monetary benefits, we are association of scientists and academia who focus only on supporting authors who want to publish their work. The articles published in our journal can be accessed online, all the articles will be archived for real time access.
Our journal system primarily aims to bring out the research talent and the works done by sciaentists, academia, engineers, practitioners, scholars, post graduate students of engineering and science. This journal aims to cover the scientific research in a broader sense and not publishing a niche area of research facilitating researchers from various verticals to publish their papers. It is also aimed to provide a platform for the researchers to publish in a shorter of time, enabling them to continue further All articles published are freely available to scientific researchers in the Government agencies,educators and the general public. We are taking serious efforts to promote our journal across the globe in various ways, we are sure that our journal will act as a scientific platform for all researchers to publish their works online.
Wide area monitoring systems (WAMS) are essentially based on the new data acquisition technology of phasor measurement and allow monitoring transmission system conditions over large areas in view of detecting and further counteracting grid instabilities.
Automated Solar Tracking System for Efficient Energy Utilizationvivatechijri
This paper proposes a project that involves an automated solar tracking system which will make use
of LDR’s to track the position of sun. The output of LDR’s will be compared and analyzed to provide correct
alignment of the solar panel. Also another tracking technique is being implemented along, which uses the relation
of sun earth position at a given location. This telemetric data is given to microcontroller which will drive the
motors to align the solar panel. This is useful during cloudy weather and rainy days when it is difficult to check
the position of sun. Solar panels give output efficiency of around 15% to 20% based on the type of panel. The use
of solar tracking system increases it to a range of about 30% to 35%. This project further involves use of reflective
sheets on the sides of solar panel which will concentrate the reflected rays on the panel. Due to this the efficiency
is further increased around 40%. This project is a cost effective solution for stationary solar systems to increase
efficiency.
International Journal of Engineering Research and Applications (IJERA) is a team of researchers not publication services or private publications running the journals for monetary benefits, we are association of scientists and academia who focus only on supporting authors who want to publish their work. The articles published in our journal can be accessed online, all the articles will be archived for real time access.
Our journal system primarily aims to bring out the research talent and the works done by sciaentists, academia, engineers, practitioners, scholars, post graduate students of engineering and science. This journal aims to cover the scientific research in a broader sense and not publishing a niche area of research facilitating researchers from various verticals to publish their papers. It is also aimed to provide a platform for the researchers to publish in a shorter of time, enabling them to continue further All articles published are freely available to scientific researchers in the Government agencies,educators and the general public. We are taking serious efforts to promote our journal across the globe in various ways, we are sure that our journal will act as a scientific platform for all researchers to publish their works online.
Wide area monitoring systems (WAMS) are essentially based on the new data acquisition technology of phasor measurement and allow monitoring transmission system conditions over large areas in view of detecting and further counteracting grid instabilities.
NARMA-L2 Controller for Five-Area Load Frequency Controlijeei-iaes
This paper investigates the load-frequency control (LFC) based on neural network for improving power system dynamic performance. In this paper an Artificial Neural Network (ANN)based controller is presented for the Load Frequency Control (LFC) of a five area interconnected power system. The controller is adaptive and is based on a nonlinear auto regressive moving average (NARMA-L2) algorithm. The working of the conventional controller and ANN based NARMA L2 controllers is simulated using MATLAB/SIMULINK package.. The Simulink link results of both the controllers are compared.
Power Optimized Datapath Units of Hybrid Embedded Core Architecture Using Clo...VLSICS Design
Minimizing power consumption is a primary consideration in hardware design of portable devices where
high performance and functionality is required with limited battery power. With the scaling of technology
and the need for high performance and more functionality, power dissipation becomes a major bottleneck
for microprocessor systems design. Clock power can be significant in high performance systems. Dynamic
power can contribute up to 50% of the total power dissipation. The main goal of this work is to implement
a prototype power optimized datapath unit and ALU of Hybrid Embedded Controller Architecture targeted
on to the FPGA chip and analyze the power consumption of the datapath, ALU etc. Dynamic power
management system which includes clock gating, qualified system latches are incorporated into this
design. The whole design is captured using VHDL make use of Xilinx tool. This paper gives complete
guidelines for authors submitting papers for the AIRCC Journals.
International Journal of Engineering Research and DevelopmentIJERD Editor
Electrical, Electronics and Computer Engineering,
Information Engineering and Technology,
Mechanical, Industrial and Manufacturing Engineering,
Automation and Mechatronics Engineering,
Material and Chemical Engineering,
Civil and Architecture Engineering,
Biotechnology and Bio Engineering,
Environmental Engineering,
Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
Wavelet Based Analysis of Online Monitoring of Electrical Power by Mobile Tec...IJMER
Electrical automation is an important option for obtaining optimal solution while monitoring the electrical power consumption. While using the conventional methods the errors in continuous monitoring of power consumption is more. But the system requires not only the monitoring of the energy but also requires the analysis of the monitored energy. In this paper wavelet analysis is used for the analysis of the monitored energy/power which is monitored by GPRS technology. By using the GPRS mobile technology the energy consumption is monitored continuously and the observed data is interfaced to the computer by RS 232 port. By using MATLAB the monitored data is processed to obtain in depth analysis of the monitored power. The proposed method not only monitors the data but also provides efficient means to analyze the observed data by Wavelet Transform
Smart Grid
Why do we need Smart Grid?
What is Smart Grid?
Smart Grid conceptual model
Wide Area Monitoring systems
What is WAMs
WAMS Architecture
Applications of Phasor Measurement Unit (PMU)
Concluding Remarks
As the world’s electricity systems face a number of challenges
such as
New dynamics of future demand and supply
Ageing infrastructure
Complex interconnected grids
Integration of large number of renewable generation sources
Need to lower carbon emissions
New type of loads such as Electric Vehicles
Analytics for utility-operated lithium-ion energy storageDavid Ingram
QUT power engineering seminar on the use of remote monitoring and data analytics to monitor grid-connected battery energy storage systems in the Queensland grid.
DESIGN A TWO STAGE GRID CONNECTED PV SYSTEMS WITH CONSTANT POWER GENERATION A...Journal For Research
The many Different techniques for Maximum Power Point Tracking of Photovoltaic arrays are discussed. This constant power generation is produced by limiting to a set limit around the MPPT, which makes the panel to reach around the MPPT, this makes the voltage and the current to stabilize so oscillations are reduced. These methods provide a better efficiency but suffer from sudden solar irradiance changes. Hence to alleviate the issues of the variation power a robust controller based on the Input Output Linearizer along with the constant power control is introduced. This controller can ensure a fast transition between maximum power point tracking regardless of the solar irradiance levels, high performance and stable operation are always achieved by the proposed control strategy. It can regulate the PV output power according to any set point and force the PV systems to operate around MPPT which enhances the efficiency.
An IntelligentMPPT Method For PV Systems Operating Under Real Environmental C...theijes
The sun irradiance (G) and temperature (T) are the two main factors that affect the output power gained from the photovoltaic (PV) DC–DC converter. Therefore, to enhance the performance of the overall system; a mechanism to track the maximum power point (MPP) is required. Conventional maximum power point tracking approaches, such as observation and perturbation technique, experience difficulty in identifying the true MPP. Therefore, intelligent systems including fuzzy logic controllers (FLC) are introduced for the maximum power point tracking system (MPPT). The selection of the membership functions (MFs) and the fuzzy sets (FSs) numbers are crucial in the performance of the FLC based MPPT. Accordingly, this work presents numerous adaptive neuro-fuzzy systems to automatically adjustthe fuzzy logic controller membership functions as an alternative to the trial and error approach, which waste time and effort in MPPT design. For this purpose an adaptive neuro-fuzzy system is developed in MATLAB/Simulink to determine suitable MFs and the FSs for the fuzzy logic controller. The effects of different types of MFs and the FSs are deeply investigated using real data collected from the rooftop PV system. The investigations show that the fuzzy logic controller with a triangular membership function and seven fuzzy setsprovides the best results
This paper describes hardware and functional features of Hybrid Real Time Simulator (HRTSim) of electrical power systems, also its application for solution of Smart Grid (SG) tasks concerned with active adaptive networks (AAN) construction. As an example of such task solution the working results of HRTSim implementation and its application for testing and setting up of active-adaptive voltage and var control system (AAVVCS) of regional Smart Grid are presented.
Mitsubishi energy measuring unit eco monitorlight_dienhathe.vnDien Ha The
Khoa Học - Kỹ Thuật & Giải Trí: http://phongvan.org
Tài Liệu Khoa Học Kỹ Thuật: http://tailieukythuat.info
Thiết bị Điện Công Nghiệp - Điện Hạ Thế: http://dienhathe.vn
A simple way of looking at grid modernization and managing the modern grid through the interaction and integration of technology, applications and systems. An approach to kick of your Smart Grid Road Map through the Maturity Model approach.
NARMA-L2 Controller for Five-Area Load Frequency Controlijeei-iaes
This paper investigates the load-frequency control (LFC) based on neural network for improving power system dynamic performance. In this paper an Artificial Neural Network (ANN)based controller is presented for the Load Frequency Control (LFC) of a five area interconnected power system. The controller is adaptive and is based on a nonlinear auto regressive moving average (NARMA-L2) algorithm. The working of the conventional controller and ANN based NARMA L2 controllers is simulated using MATLAB/SIMULINK package.. The Simulink link results of both the controllers are compared.
Power Optimized Datapath Units of Hybrid Embedded Core Architecture Using Clo...VLSICS Design
Minimizing power consumption is a primary consideration in hardware design of portable devices where
high performance and functionality is required with limited battery power. With the scaling of technology
and the need for high performance and more functionality, power dissipation becomes a major bottleneck
for microprocessor systems design. Clock power can be significant in high performance systems. Dynamic
power can contribute up to 50% of the total power dissipation. The main goal of this work is to implement
a prototype power optimized datapath unit and ALU of Hybrid Embedded Controller Architecture targeted
on to the FPGA chip and analyze the power consumption of the datapath, ALU etc. Dynamic power
management system which includes clock gating, qualified system latches are incorporated into this
design. The whole design is captured using VHDL make use of Xilinx tool. This paper gives complete
guidelines for authors submitting papers for the AIRCC Journals.
International Journal of Engineering Research and DevelopmentIJERD Editor
Electrical, Electronics and Computer Engineering,
Information Engineering and Technology,
Mechanical, Industrial and Manufacturing Engineering,
Automation and Mechatronics Engineering,
Material and Chemical Engineering,
Civil and Architecture Engineering,
Biotechnology and Bio Engineering,
Environmental Engineering,
Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
Wavelet Based Analysis of Online Monitoring of Electrical Power by Mobile Tec...IJMER
Electrical automation is an important option for obtaining optimal solution while monitoring the electrical power consumption. While using the conventional methods the errors in continuous monitoring of power consumption is more. But the system requires not only the monitoring of the energy but also requires the analysis of the monitored energy. In this paper wavelet analysis is used for the analysis of the monitored energy/power which is monitored by GPRS technology. By using the GPRS mobile technology the energy consumption is monitored continuously and the observed data is interfaced to the computer by RS 232 port. By using MATLAB the monitored data is processed to obtain in depth analysis of the monitored power. The proposed method not only monitors the data but also provides efficient means to analyze the observed data by Wavelet Transform
Smart Grid
Why do we need Smart Grid?
What is Smart Grid?
Smart Grid conceptual model
Wide Area Monitoring systems
What is WAMs
WAMS Architecture
Applications of Phasor Measurement Unit (PMU)
Concluding Remarks
As the world’s electricity systems face a number of challenges
such as
New dynamics of future demand and supply
Ageing infrastructure
Complex interconnected grids
Integration of large number of renewable generation sources
Need to lower carbon emissions
New type of loads such as Electric Vehicles
Analytics for utility-operated lithium-ion energy storageDavid Ingram
QUT power engineering seminar on the use of remote monitoring and data analytics to monitor grid-connected battery energy storage systems in the Queensland grid.
DESIGN A TWO STAGE GRID CONNECTED PV SYSTEMS WITH CONSTANT POWER GENERATION A...Journal For Research
The many Different techniques for Maximum Power Point Tracking of Photovoltaic arrays are discussed. This constant power generation is produced by limiting to a set limit around the MPPT, which makes the panel to reach around the MPPT, this makes the voltage and the current to stabilize so oscillations are reduced. These methods provide a better efficiency but suffer from sudden solar irradiance changes. Hence to alleviate the issues of the variation power a robust controller based on the Input Output Linearizer along with the constant power control is introduced. This controller can ensure a fast transition between maximum power point tracking regardless of the solar irradiance levels, high performance and stable operation are always achieved by the proposed control strategy. It can regulate the PV output power according to any set point and force the PV systems to operate around MPPT which enhances the efficiency.
An IntelligentMPPT Method For PV Systems Operating Under Real Environmental C...theijes
The sun irradiance (G) and temperature (T) are the two main factors that affect the output power gained from the photovoltaic (PV) DC–DC converter. Therefore, to enhance the performance of the overall system; a mechanism to track the maximum power point (MPP) is required. Conventional maximum power point tracking approaches, such as observation and perturbation technique, experience difficulty in identifying the true MPP. Therefore, intelligent systems including fuzzy logic controllers (FLC) are introduced for the maximum power point tracking system (MPPT). The selection of the membership functions (MFs) and the fuzzy sets (FSs) numbers are crucial in the performance of the FLC based MPPT. Accordingly, this work presents numerous adaptive neuro-fuzzy systems to automatically adjustthe fuzzy logic controller membership functions as an alternative to the trial and error approach, which waste time and effort in MPPT design. For this purpose an adaptive neuro-fuzzy system is developed in MATLAB/Simulink to determine suitable MFs and the FSs for the fuzzy logic controller. The effects of different types of MFs and the FSs are deeply investigated using real data collected from the rooftop PV system. The investigations show that the fuzzy logic controller with a triangular membership function and seven fuzzy setsprovides the best results
This paper describes hardware and functional features of Hybrid Real Time Simulator (HRTSim) of electrical power systems, also its application for solution of Smart Grid (SG) tasks concerned with active adaptive networks (AAN) construction. As an example of such task solution the working results of HRTSim implementation and its application for testing and setting up of active-adaptive voltage and var control system (AAVVCS) of regional Smart Grid are presented.
Mitsubishi energy measuring unit eco monitorlight_dienhathe.vnDien Ha The
Khoa Học - Kỹ Thuật & Giải Trí: http://phongvan.org
Tài Liệu Khoa Học Kỹ Thuật: http://tailieukythuat.info
Thiết bị Điện Công Nghiệp - Điện Hạ Thế: http://dienhathe.vn
A simple way of looking at grid modernization and managing the modern grid through the interaction and integration of technology, applications and systems. An approach to kick of your Smart Grid Road Map through the Maturity Model approach.
since our electrical system consists of many interconnections .in order to have a proper transmission we need grid if we incorporate some sensors it results in smart grid .today grid system consists of all interconnection tapping points
(a).What is smart grid technology?
(b).Role and necessity of smart grid technology
(c).Benefits and application of grid
(d).Various challenge of grid
(e).Best possible location
In upcoming generation there is many advancement in electrical grid which make them more reliable. the smart grid was introduced with the aim of overcoming the weaknesses of conventional electrical grids using smart net meters.
smart grid is not a single concept but rather a combination of technologies and methods intended to modernize the existing grid in order to improve flexibility, availability, energy efficiency, and costs
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
2. Course content:
• Unit 1: Introduction to course
• Unit 2: Energy and Civilization
• Unit 3: Basics of Power-Grids
• Unit 4: Modeling converters in Micro-Grid power systems
• Unit 5: Smart Power-Grid Systems
• Unit 6: Micro-Grid Solar Energy systems
• Unit 7: Micro-Grid Wind Energy Systems
• Unit 8: Load flow analysis of Power-Grids and Micro-Grids
• Unit 9: Power Grid and Micro-Grid fault study analysis
SMART-GRIDS: BASIC PRINCIPLES, DESIGN AND
AUTOMATION
3. 5.1 Introduction
5.2 Power Grid Operation
5.3 The vertically and market-structured utility
5.4 Power Grid operations control
5.5 Load-Frequency control
5.6 Automatic generation control
5.7 Basic concepts of a smart power grid
5.8 Load factor and real-time pricing
5.9 A Cyber-controlled Smart Grid
5.10 Smart-Grid development
Unit 5: Smart Power Grid Systems
Unit 3 Contents
4. • In a smart power grid system, a large number of microgrids
operate as part of an interconnected power grid.
• For example, a photovoltaic - (PV - ) based residential
system with its local storage system and load would be one
of the smallest microgrids in the smart power grid system.
• To understand the new paradigm of tomorrow’ s smart
power grid design and operation, we need to understand
today’ s electric power grid operation and costs of design
Unit 5: Smart Power Grid Systems
5.1 Introduction
5. 5
• In this Chapter, we introduce the basic system concepts of
sensing, measurement, integrated communications, smart
meters, and high green energy penetration of intermittent
generation sources.
• We also introduce the basic concepts of generator
operation, power flow, the limit of power flow on
transmission lines, and load factor calculation and its impact
on the operation of a smart grid and microgrids.
Unit 5: Smart Power Grid Systems
5.1 Introduction
Understanding functioning of Power Grid=Able to design a micro-
Grid!
6. 6
• …provide continuous quality service at an acceptable
voltage and frequency with adequate security, reliability, and
an acceptable impact upon the environment— without
damage to the power grid equipment
• Minimum cost!
Unit 5: Smart Power Grid Systems
5.2 Power Grid Operation
Inter-related objectives of a
power-delivery system
7. 7
Unit 5: Smart Power Grid Systems
5.2 Power Grid Operation IF in the power grid the line
connecting bus 2 and bus 4
is out of service, the power
grid is secure if it still can
serve all loads.
8. 8
• The energy resources of a large power system consist
of hydro and nuclear energy, fossil fuel, renewable
energy sources such as wind and solar energy, as well
as green energy sources such as fuel cells, combined
heat and power (CHP; also known as cogeneration),
and microturbines.
• These resources must be managed and
synchronized to satisfy the load demand of the
power grid!
• Peak demands must be satisfied: daily peak demand
over a week, a weekly peak demand over a month, and
a monthly peak demand over a year
Unit 5: Smart Power Grid Systems
5.2 Power Grid Operation
Cost of
distribution and
generation
minimised!
9. 9
Unit 5: Smart Power Grid Systems
5.2 Power Grid Operation
peak demand
is twice the
minimum
power demand
10. 10
Unit 5: Smart Power Grid Systems
5.2 Power Grid Operation
the peak power
demand occurs on
Monday and the
minimum power
demand occurs on
Sunday
Weekly basis!
11. 11
Unit 5: Basics of Power Grids
5.2 Power Grid Operation
Decision time
involved in
operations planning
and control of the
power grid
The vertical axis:
decision time for
implementing a
function. The
horizontal axis
indicates where the
control of a function
takes place
12. 12
Unit 5: Smart Power Grid Systems
5.2 Power Grid Operation
Supervisory Control and Data Acquisition (SCADA) system (belongs to EMS):
consists of data acquisition and control hardware and software, man –
machine and interface software systems, and dual computer systems
with real-time operating systems.
The primary functions of SCADA are
(1) to collect information throughout the power grid,
(2) to send the collected data through the power grid communication system
to the control center, and
(3) to display the data in the control center for power grid operators to use for
decision making and in the determination of the application function for grid
operation..
13. 13
Unit 5: Smart Power Grid Systems
5.2 Power Grid Operation
• As part of the smart power grid design, additional data concerning the
energy resources such as wind, solar, PV energy sources, and real - time
pricing from the power market must be incorporated into the SCADA
system.
• Distributed over a wide area, the smart power grid must be optimized for its
efficient and stable operation — yet another task for the SCADA system!
14. 14
Unit 5: Smart Power Grid Systems
5.2 Power Grid Operation
• Problems of operations planning can be divided in four Tasks:
(1) to schedule all resources and facilities yearly,
(2) on a monthly basis for satisfying the forecasted monthly peak load,
(3) then utilizing the weekly results to produce a daily schedule,
(4) finally using the daily schedule to prepare a feasible and secure
hourly schedule.
15. 15
Unit 5: Smart Power Grid Systems
5.2 Power Grid Operation
• The scheduling of resources and facilities on a weekly basis is
accomplished through medium- term operation planning.
• This task consists of two functions: a weekly load forecasting program and
a hydrothermal coordination program.
The hydrothermal coordination program determines the best schedule of
operation of the hydro and thermal units such that the amount of fuel
consumed in the thermal units is minimized, and the weekly load
demand of the system is satisfied.
As renewable energy sources are increasingly used in the power grid, the
operation planning will become highly complex due to the intermittent nature
of renewable energy sources.
16. 16
Unit 5: Smart Power Grid Systems
5.2 Power Grid Operation
• The weekly scheduling of facilities and resources on a daily basis
is performed by short - term operation planning, which consists of a
short - term load forecasting program, a security analysis
simulations program, and a unit commitment program.
• The short - term load forecasting estimates the hourly load
demands of the next 168 hours.
17. 17
Unit 5: Smart Power Grid Systems
5.3 The vertically and market-structured Utility
Vertically-integrated Power
Utility
The power delivered first to large
cities, and then through a radial
distribution, to rural areas
18. 18
Unit 5: Smart Power Grid Systems
5.3 The vertically and market-structured Utility
Market-operated Power Grid
• In this structure, the independent system operator (ISO) is in charge of
power grid operation.
• ISO energy - management computer systems compute the operating
reserve that is necessary to maintain reliable interconnected power grid
operation.
“ Each control area shall operate its power resources to provide for a level of
operating reserve sufficient to account for such factors as errors in
forecasting, generation and transmission equipment unavailability, number
and size of generating units, system equipment forced outage rates,
maintenance schedules, regulating requirements, and regional and system
load diversity. ”
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Unit 5: Smart Power Grid Systems
5.3 The vertically and market-structured Utility
Market-operated Power Grid
• ISO energy - management
computer systems compute the
operating reserve that is necessary
to maintain reliable interconnected
power grid operation – Stabilize
the grid!
A Market - Structured Power
Grid
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Unit 5: Smart Power Grid Systems
5.4 Power Grid Operations control
• The primary functions of operations control are satisfying the
instantaneous load on a second - to - second and minute - to - minute
basis.
Some of these functions are
1. Load frequency control (LFC)
2. Automatic - generation control (AGC)
3. Network topology determination (NTD)
4. State estimation (SE)
5. On - line load flow and contingency studies
6. Schedule of transactions (ST)
7. Economic dispatch calculation (EDC)
8. Operating reserve calculation (ORC)
9. Load management system (LMS)
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Unit 5: Smart Power Grid Systems
5.4 Power Grid Operations control
The decision time of operations control is from dynamic response in a fraction
of a cycle in LFC,
• to 1 – 10 seconds for automatic - generation control,
• to 5 – 10 minutes for economic - dispatch calculations,
• and from a second up to 30 minutes for a load management system.
However, with the implementation of a smart grid system with a
high penetration of renewable green energy sources and a smart
metering system, we will have a more - complex power system.
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Unit 5: Smart Power Grid Systems
5.5 Load-Frequency control
• LFC is also referred to as the governor response control loop as shown in
Figure below
• As the load demand of the power system increases/decreases, the speed
of the generators decreases/increases and this reduces/increases the
system frequency.
The power system - frequency
control must be maintained for the
power grid to remain stable.!
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Unit 5: Smart Power Grid Systems
5.5 Load-Frequency control
• In the AC power grids, all generating sources are operating in
parallel and all (inject) supply power to the power grid. This means
that all power sources are operating at the same system frequency.
• The generators are operating at the system frequency; they are all
synchronized and operating at the same synchronized speed: all are
supplying (injecting) power to the power grid. The synchronized speed can
be computed as
𝜔 𝑠𝑦𝑛 =
2
𝑃
𝜔𝑠
where 𝜔𝑠 is the system frequency and P is the number of magnetic Poles.
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Unit 5: Smart Power Grid Systems
5.5 Load-Frequency control
• In AC systems, the energy cannot be stored; it can only be exchanged
between inductors and capacitors of the system and is consumed by
loads.
• Therefore, for an AC system to operate at a stable frequency,
the power generated by AC sources must be equal to the
system loads.
What about the losses??
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Unit 5: Smart Power Grid Systems
5.5 Load-Frequency control
• However, the loads on the system are controlled by the energy users, i.e.,
when we turn off a light, we reduce the system load; when we turn on a
light on, we increase the system load.
• In response to load changes, the energy is supplied from the inertia
energy stored in the massive mass of a rotor. However, at every instant,
the balance between energy supplied to the grid and the energy
consumed by loads plus losses are maintained. This concept can be
expressed as
Generated
power
Power consumed
by load
N: number of
generators/loads
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Unit 5: Smart Power Grid Systems
5.5 Load-Frequency control
Governing system control:
• At time t load increases spontaneously-- frequency drops!
the system has a feedback loop that is called the load - speed control and as
the system frequency drops, the feedback loop increases the input power to
match the system generation with the system load.
the governor opens the turbine valves to increase the input power that
in turn speeds up the shaft of the generator!
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Unit 5: Smart Power Grid Systems
5.5 Load-Frequency control
We must also control the
terminal voltages of
generators and power
factors.!
Voltage Regulator and Turbine
- Governor Controls for a
Steam Turbine - Generator
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Unit 5: Smart Power Grid Systems
5.5 Load-Frequency control
Important analysis studies in power system planning, design,
and operation:
1. Power Flow Studies:
2. Short-Circuit Studies
Given the system model, the bus voltages, and load, we compute balanced
and unbalanced fault currents that can flow on the system if a fault happens.
Based on this study, we calculate the short- circuit currents that the breakers
may experience upon occurrence of a fault.
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Unit 5: Smart Power Grid Systems
5.5 Load-Frequency control
We can identify different dynamic problems that can affect a power grid:
1. Electrical dynamics and excitation controls may have a duration of
several cycles to a few seconds.
2. Governing and LFC may have a dynamic duration of several seconds
to a few minutes.
3. A prime - mover and an energy supply control system may have a
dynamic duration of several minutes. A prime- mover is a steam-
generating power system.
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Unit 5: Smart Power Grid Systems
5.6 Automatic generation control
• The system load has a general pattern of increasing slowly
during the day and then decreasing at night.
• The cost of generated power is not the same for all generating units.
• Therefore, more power generation is assigned to the least costly
units.
• In addition, a few lines connect one power grid to another neighboring
power grid (Tie lines).
.
• Tie lines are controlled to import or export power according to set agreed
contracts.
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Unit 5: Smart Power Grid Systems
5.6 Automatic generation control
• To control both the power flow through transmission tie lines and the
system frequency, the concept of area control error (ACE) is defined as
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Unit 5: Smart Power Grid Systems
5.6 Automatic generation control
The AGC software control is designed to accomplish the following objectives:
1. Match area generation to area load, i.e., match the tie-line interchanges
with the schedules and control the system frequency.
2. Distribute the changing loads among generators to minimize the operating
costs.
To obtain a meaningful regulation (i.e., reducing the ACE to
zero), the load demands of the system are sampled every
few seconds.
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Unit 5: Smart Power Grid Systems
5.6 Automatic generation control
When a large number of energy users turn their lights off, they create
high - and low - frequency load fluctuations. The low - frequency load
fluctuation has a clear load rise or a load drop trend. This change of load
is controlled by AGC as shown below:
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Unit 5: Smart Power Grid Systems
5.6 Automatic generation control
• The microgrid concept assumes a cluster of loads and its microsources,
such as photovoltaic, wind, and combined heat and power (CHP) are
operating as a single controllable power grid.
• To the local power grid, this cluster becomes a single dispatchable load.
• When a microgrid power grid is connected to a power grid, the microgrid
bus voltage is controlled by the local power grid.
The microgrid cannot change the power grid bus voltage and the power
grid frequency!
• The AGC also controls the connected microgrids in a large
interconnected power grid
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Unit 5: Smart Power Grid Systems
5.6 Automatic generation control
• When the balance between generation and load is disturbed, the dynamics
of the generators and loads can cause the system frequency and/or
voltages to vary, and if this oscillation persists, it will lead to system
collapse of the local power grid and connected microgrids.
• If the load increases rapidly and the power grid frequency drops, then
steam units open the steam valves and hydro unit control loops will open
the hydro gates, to supply energy to stabilize the system frequency.
This action takes place regardless of the cost of energy
from generating units. All units that are under LFC
participate in the regulation of the power system
frequency. This is called the governor speed control
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Unit 5: Smart Power Grid Systems
5.7 Operating reserve calculation
• The spinning reserve is the amount of additional power that is distributed
in the form of a few megawatts among many generators operating in the
power grid.
• The real - time pricing and smart meters will empower many energy end
users to participate in proving the spinning reserves in the future operation
of power systems, increasing overall efficiency, and reducing the cost of
operation of power grids.
• These units are under AGC control and can dispatch
power to ensure the balance of system loads and
system generation
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Unit 5: Smart Power Grid Systems
5.8 Basic concepts of a Smart Power Grid
.
• The classical power system operation has no control over the loads except
in an emergency situation when a portion of the loads can be dropped as
needed to balance the power grid generation with its loads.
• Therefore, much equipment is used for a short time during the peak power
demand but it remains idle during daily operations.
In a classical power grid, a fixed price is charged to energy users.
However, the cost of energy is highest during the daily peak load
operation
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Unit 5: Smart Power Grid Systems
5.8 Basic concepts of a Smart Power Grid
• For an efficient smart power grid system design and operation:
• communication system,
• cyber network,
• sensors,
• and smart meters
must be installed to curtail (περικοπή) the system peak loads when the cost
of electric energy is highest!.
• The smart power grid introduces a sensing, monitoring, and control
system that provides end users with the cost of energy at any
moment through real- time pricing..
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Unit 5: Smart Power Grid Systems
5.8 Basic concepts of a Smart Power Grid
Furthermore, the smart power grid:
1. Supplies the platform for the use of renewable green energy sources and
adequate emergency power for major metropolitan load centers.
2. It safeguards against a complete blackout of the interconnected
power grids due to man-made events or environmental calamity. It also
allows for the break - up of the interconnected power grid into smaller,
regional clusters.
• enables every energy user to become an energy producer!
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Unit 5: Smart Power Grid Systems
5.8 Basic concepts of a Smart Power Grid
A Cyber - Controlled
Smart Grid
The cyber- fusion point (CFP)
represents a node of the smart grid
system where the renewable green
energy system is connected to large -
scale interconnected systems.
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Unit 5: Smart Power Grid Systems
5.8 Basic concepts of a Smart Power Grid
• The CFP is the node in the system that receives data from upstream, i.e.,
from the interconnected network, and downstream, i.e., from the microgrid
renewable green energy (MRG) system and its associated smart metering
systems.
• The CFP node is the smart node of the system where the status of the
network is evaluated and controlled, and where economic decisions are
made as to how to operate the local MRG system.
• A CFP also evaluates whether its MRG system should be operated as an
independent grid system or as a grid system separate from the large
interconnected system.
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Unit 5: Smart Power Grid Systems
5.8 Basic concepts of a Smart Power Grid
It enables end users to adjust the time of their energy usage for nonessential
activities based on the expected real - time price of energy.
The knowledge gained from smart meters permits the power grid operators to
spot power outages more quickly and smooth demand in response to real -
time pricing as the cost of power varies during the day
Two - way communication is a key characteristic of the smart power grid
energy system.
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Unit 5: Smart Power Grid Systems
5.9 The load factor
• Ratio of a customer ’ s average power demand to its peak demand
• * Defines the cost to the supplier per unit of energy delivered in that
period
Daily, monthly or
Yearly basis!
A desirable load factor is close to one, so that
peak demand and average demand are close to
each other
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Unit 5: Smart Power Grid Systems
5.9 The load factor
Example: An industrial site has a constant power demand of 100 kW
over a year of energy consumption. Compute the customer load factor
over one year of providing energy to this site
Therefore, the load factor of this customer is 100%
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Unit 5: Smart Power Grid Systems
5.9 The load factor
• A commercial site has peak demand of 200 k W during 12 hours a
day and an average demand of 50 k W demand the rest of a day.
• Compute the customer load factor over one year of providing
energy to this site. Explain the associated cost of providing energy
to the industrial site (previous example) and the commercial site.
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Unit 5: Smart Power Grid Systems
5.9 The load factor
When the load factor is close to
unity (100%), the generating
plant is efficiently used. The cost
of supplying power to the load is
more when the load factor is
low.
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Unit 5: Smart Power Grid Systems
5.9.1 The Load Factor and Real - Time Pricing
Suppose a PV plant of 1000 kW capacity is constructed for $500 per kW.
Compute the cost of energy per kWh to the end users for one year of
operation at full capacity if the total cost on investment is to be recovered in 2
years when the PV plant operates 6 hours a day on the average for 2 years
and the cost of production is negligible.
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Unit 5: Smart Power Grid Systems
5.9.1 The Load Factor and Real - Time Pricing
Cost in Cents per kWh as a
Function of Load Factor
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Unit 5: Smart Power Grid Systems
5.10 A Cyber-controlled Smart Grid
• A cyber - controlled smart grid consists of many distributed generation
stations in the form of microgrids. The microgrids incorporate intelligent
load control equipment in its design, operation, and communication.
• Smart appliances such as refrigerators, washing machines, dishwashers,
and microwaves can be turned off if the energy end user elects to reduce
energy use.
• Furthermore, the emergency load reduction can be achieved by turning off
millions of air conditioners on a rotation basis for a few minutes.
better control
energy usage!
End users
control their
energy costs!
Energy end-users become
energy producers
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Unit 5: Smart Power Grid Systems
5.10 A Cyber-controlled Smart Grid
• Cyber - controlled smart grid technology has three important elements:
• sensing and measurement tools,
• a smart transducer,
• an integrated communication system
• Transducers are sensors and actuators play a central role in automatic
computerized data acquisition and monitoring of smart grid power systems.
• The smart transducer/controller is also able to locally implement the
control action based on feedback at the transducer interface.
Advanced
technology: micro-
controllers, digital
signal processors
a digital sensor,
a processing
unit, and a
communication
interface