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Intelligent Automatic Generation Control

Author: Hassan Bevrani

Publisher: CRC Press

Published: 2017-12-19

Total Pages: 308

ISBN-13: 1439849544

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Automatic generation control (AGC) is one of the most important control problems in the design and operation of interconnected power systems. Its significance continues to grow as a result of several factors: the changing structure and increasing size, complexity, and functionality of power systems, the rapid emergence (and uncertainty) of renewable energy sources, developments in power generation/consumption technologies, and environmental constraints. Delving into the fundamentals of power system AGC, Intelligent Automatic Generation Control explores ways to make the infrastructures of tomorrow smarter and more flexible. These frameworks must be able to handle complex multi-objective regulation optimization problems, and they must be highly diversified in terms of policies, control strategies, and wide distribution in demand and supply sources—all via an intelligent scheme. The core of such intelligent systems should be based on efficient, adaptable algorithms, advanced information technology, and fast communication devices to ensure that the AGC systems can maintain generation-load balance following serious disturbances. This book addresses several new schemes using intelligent control techniques for simultaneous minimization of system frequency deviation and tie-line power changes, which is required for successful operation of interconnected power systems. It also concentrates on physical and engineering aspects and examines several developed control strategies using real-time simulations. This reference will prove useful for engineers and operators in power system planning and operation, as well as academic researchers and students in field of electrical engineering.

Book Synopsis Intelligent Automatic Generation Control by : Hassan Bevrani

Download or read book Intelligent Automatic Generation Control written by Hassan Bevrani and published by CRC Press. This book was released on 2017-12-19 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Automatic generation control (AGC) is one of the most important control problems in the design and operation of interconnected power systems. Its significance continues to grow as a result of several factors: the changing structure and increasing size, complexity, and functionality of power systems, the rapid emergence (and uncertainty) of renewable energy sources, developments in power generation/consumption technologies, and environmental constraints. Delving into the fundamentals of power system AGC, Intelligent Automatic Generation Control explores ways to make the infrastructures of tomorrow smarter and more flexible. These frameworks must be able to handle complex multi-objective regulation optimization problems, and they must be highly diversified in terms of policies, control strategies, and wide distribution in demand and supply sources—all via an intelligent scheme. The core of such intelligent systems should be based on efficient, adaptable algorithms, advanced information technology, and fast communication devices to ensure that the AGC systems can maintain generation-load balance following serious disturbances. This book addresses several new schemes using intelligent control techniques for simultaneous minimization of system frequency deviation and tie-line power changes, which is required for successful operation of interconnected power systems. It also concentrates on physical and engineering aspects and examines several developed control strategies using real-time simulations. This reference will prove useful for engineers and operators in power system planning and operation, as well as academic researchers and students in field of electrical engineering.

Intelligent Automatic Generation Control

Author:

Publisher:

Published: 2011

Total Pages:

ISBN-13:

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Book Synopsis Intelligent Automatic Generation Control by :

Download or read book Intelligent Automatic Generation Control written by and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence in Industrial Decision Making, Control and Automation

Author: S.G. Tzafestas

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 778

ISBN-13: 9401103054

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This book is concerned with Artificial Intelligence (AI) concepts and techniques as applied to industrial decision making, control and automation problems. The field of AI has been expanded enormously during the last years due to that solid theoretical and application results have accumulated. During the first stage of AI development most workers in the field were content with illustrations showing ideas at work on simple problems. Later, as the field matured, emphasis was turned to demonstrations that showed the capability of AI techniques to handle problems of practical value. Now, we arrived at the stage where researchers and practitioners are actually building AI systems that face real-world and industrial problems. This volume provides a set of twenty four well-selected contributions that deal with the application of AI to such real-life and industrial problems. These contributions are grouped and presented in five parts as follows: Part 1: General Issues Part 2: Intelligent Systems Part 3: Neural Networks in Modelling, Control and Scheduling Part 4: System Diagnostics Part 5: Industrial Robotic, Manufacturing and Organizational Systems Part 1 involves four chapters providing background material and dealing with general issues such as the conceptual integration of qualitative and quantitative models, the treatment of timing problems at system integration, and the investigation of correct reasoning in interactive man-robot systems.

Book Synopsis Artificial Intelligence in Industrial Decision Making, Control and Automation by : S.G. Tzafestas

Download or read book Artificial Intelligence in Industrial Decision Making, Control and Automation written by S.G. Tzafestas and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 778 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is concerned with Artificial Intelligence (AI) concepts and techniques as applied to industrial decision making, control and automation problems. The field of AI has been expanded enormously during the last years due to that solid theoretical and application results have accumulated. During the first stage of AI development most workers in the field were content with illustrations showing ideas at work on simple problems. Later, as the field matured, emphasis was turned to demonstrations that showed the capability of AI techniques to handle problems of practical value. Now, we arrived at the stage where researchers and practitioners are actually building AI systems that face real-world and industrial problems. This volume provides a set of twenty four well-selected contributions that deal with the application of AI to such real-life and industrial problems. These contributions are grouped and presented in five parts as follows: Part 1: General Issues Part 2: Intelligent Systems Part 3: Neural Networks in Modelling, Control and Scheduling Part 4: System Diagnostics Part 5: Industrial Robotic, Manufacturing and Organizational Systems Part 1 involves four chapters providing background material and dealing with general issues such as the conceptual integration of qualitative and quantitative models, the treatment of timing problems at system integration, and the investigation of correct reasoning in interactive man-robot systems.

AUTOMATIC GENERATION CONTROL IN ELECTRICAL POWER SYSTEM

Author: Dr. Md. Faruk Hossain

Publisher: LAP Lambert Academic Publishing

Published: 2013

Total Pages: 188

ISBN-13: 9783659367113

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Today a power system interruption is far more serious, work is interrupted, and modern domestic heating plants cease operating, the processing material is damaged, transportation is impaired and normal life of whole communities is disrupted. This greater dependence on a continuous supply of electrical energy has developed with the ability to build a high degree of reliability into the system. System disturbances caused by the load fluctuations result in changes to the desired frequency value. Automatic Generation Control (AGC), is very important issue in power system operation and control for supplying sufficient and both good quality and reliable electric power. This work deals with the AGC of Electrical (single and multi-area) power systems by using fuzzy logic controller (FLC). Three intelligent AGC controllers have been developed to regulate the power output and system frequency by controlling the speed of the generator with the help of fuel rack position control. The first one is fuzzy based gain scheduler (FGS), the second one is Fuzzy based proportional integral controller (FPIC), and last one is Fuzzy frequency controller (FFC).

Book Synopsis AUTOMATIC GENERATION CONTROL IN ELECTRICAL POWER SYSTEM by : Dr. Md. Faruk Hossain

Download or read book AUTOMATIC GENERATION CONTROL IN ELECTRICAL POWER SYSTEM written by Dr. Md. Faruk Hossain and published by LAP Lambert Academic Publishing. This book was released on 2013 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today a power system interruption is far more serious, work is interrupted, and modern domestic heating plants cease operating, the processing material is damaged, transportation is impaired and normal life of whole communities is disrupted. This greater dependence on a continuous supply of electrical energy has developed with the ability to build a high degree of reliability into the system. System disturbances caused by the load fluctuations result in changes to the desired frequency value. Automatic Generation Control (AGC), is very important issue in power system operation and control for supplying sufficient and both good quality and reliable electric power. This work deals with the AGC of Electrical (single and multi-area) power systems by using fuzzy logic controller (FLC). Three intelligent AGC controllers have been developed to regulate the power output and system frequency by controlling the speed of the generator with the help of fuel rack position control. The first one is fuzzy based gain scheduler (FGS), the second one is Fuzzy based proportional integral controller (FPIC), and last one is Fuzzy frequency controller (FFC).

Applications of Computing, Automation and Wireless Systems in Electrical Engineering

Author: Sukumar Mishra

Publisher: Springer

Published: 2019-05-31

Total Pages: 1296

ISBN-13: 9811367728

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This book discusses key concepts, challenges and potential solutions in connection with established and emerging topics in advanced computing, renewable energy and network communications. Gathering edited papers presented at MARC 2018 on July 19, 2018, it will help researchers pursue and promote advanced research in the fields of electrical engineering, communication, computing and manufacturing.

Book Synopsis Applications of Computing, Automation and Wireless Systems in Electrical Engineering by : Sukumar Mishra

Download or read book Applications of Computing, Automation and Wireless Systems in Electrical Engineering written by Sukumar Mishra and published by Springer. This book was released on 2019-05-31 with total page 1296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses key concepts, challenges and potential solutions in connection with established and emerging topics in advanced computing, renewable energy and network communications. Gathering edited papers presented at MARC 2018 on July 19, 2018, it will help researchers pursue and promote advanced research in the fields of electrical engineering, communication, computing and manufacturing.

Computational Intelligence in Pattern Recognition

Author: Asit Kumar Das

Publisher: Springer

Published: 2019-08-17

Total Pages: 1046

ISBN-13: 9811390428

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This book presents practical development experiences in different areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.

Book Synopsis Computational Intelligence in Pattern Recognition by : Asit Kumar Das

Download or read book Computational Intelligence in Pattern Recognition written by Asit Kumar Das and published by Springer. This book was released on 2019-08-17 with total page 1046 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents practical development experiences in different areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.

Intelligent Control in Power Generation

Author: Bassel Bashir Copti

Publisher:

Published: 1996

Total Pages: 246

ISBN-13:

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Power systems should be maintained at constant frequency and all the interconnected generators must remain in synchronism. Even though there are changes in the flow of power, voltage magnitudes should remain within assigned ranges at different points of the power grid. The major and most important unit in a power system is the generator. Automatic Generation Control (AGC) is the essential function in controlling the power grid. It consists of controlling the generator's terminal voltage, its output power and frequency. To maintain constant terminal voltage, exciter control is needed To maintain frequency and power within acceptable limits turbine-governor control is needed. An additional feedback controller called the Power System Stabilizer is used to control frequency deviation through the exciter. As the load deviates unpredictably from its normal value, automatic control must detect the changes in the system and initiate a counter control. These actions must eliminate instantly and efficiently the induced state deviations and restore the system to its new steady state operating point. Because of the dynamic nature of the power system, fixed-parameter controllers cannot perform well when the operating points deviate enormously from the design operating point. Since the operating point of a power system changes frequently, the settings of the control parameters will have to be updated to adapt with the new environment introduced by these changes. For this reason intelligent control can improve power system performance. In this thesis, we describe two controlling methods to improve the exciter action in response to voltage deviations. Improved intelligent control schemes were delivered and applied to the Power System Stabilizer to improve its behavior under normal conditions and unpredicted circumstances Our proposed control strategies on the Exciter and Power System Stabilizer do not require large and complex calculations nor very small sampling frequencies.

Book Synopsis Intelligent Control in Power Generation by : Bassel Bashir Copti

Download or read book Intelligent Control in Power Generation written by Bassel Bashir Copti and published by . This book was released on 1996 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Power systems should be maintained at constant frequency and all the interconnected generators must remain in synchronism. Even though there are changes in the flow of power, voltage magnitudes should remain within assigned ranges at different points of the power grid. The major and most important unit in a power system is the generator. Automatic Generation Control (AGC) is the essential function in controlling the power grid. It consists of controlling the generator's terminal voltage, its output power and frequency. To maintain constant terminal voltage, exciter control is needed To maintain frequency and power within acceptable limits turbine-governor control is needed. An additional feedback controller called the Power System Stabilizer is used to control frequency deviation through the exciter. As the load deviates unpredictably from its normal value, automatic control must detect the changes in the system and initiate a counter control. These actions must eliminate instantly and efficiently the induced state deviations and restore the system to its new steady state operating point. Because of the dynamic nature of the power system, fixed-parameter controllers cannot perform well when the operating points deviate enormously from the design operating point. Since the operating point of a power system changes frequently, the settings of the control parameters will have to be updated to adapt with the new environment introduced by these changes. For this reason intelligent control can improve power system performance. In this thesis, we describe two controlling methods to improve the exciter action in response to voltage deviations. Improved intelligent control schemes were delivered and applied to the Power System Stabilizer to improve its behavior under normal conditions and unpredicted circumstances Our proposed control strategies on the Exciter and Power System Stabilizer do not require large and complex calculations nor very small sampling frequencies.

Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies

Author: Krishna Kumar

Publisher: Academic Press

Published: 2022-03-18

Total Pages: 418

ISBN-13: 0323914284

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Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies analyzes the changes in this energy generation shift, including issues of grid stability with variability in renewable energy vs. traditional baseload energy generation. Providing solutions to current critical environmental, economic and social issues, this book comprises various complex nonlinear interactions among different parameters to drive the integration of renewable energy into the grid. It considers how artificial intelligence and machine learning techniques are being developed to produce more reliable energy generation to optimize system performance and provide sustainable development. As the use of artificial intelligence to revolutionize the energy market and harness the potential of renewable energy is essential, this reference provides practical guidance on the application of renewable energy with AI, along with machine learning techniques and capabilities in design, modeling and for forecasting performance predictions for the optimization of renewable energy systems. It is targeted at researchers, academicians and industry professionals working in the field of renewable energy, AI, machine learning, grid Stability and energy generation. Covers the best-performing methods and approaches for designing renewable energy systems with AI integration in a real-time environment Gives advanced techniques for monitoring current technologies and how to efficiently utilize the energy grid spectrum Addresses the advanced field of renewable generation, from research, impact and idea development of new applications

Book Synopsis Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies by : Krishna Kumar

Download or read book Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies written by Krishna Kumar and published by Academic Press. This book was released on 2022-03-18 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sustainable Developments by Artificial Intelligence and Machine Learning for Renewable Energies analyzes the changes in this energy generation shift, including issues of grid stability with variability in renewable energy vs. traditional baseload energy generation. Providing solutions to current critical environmental, economic and social issues, this book comprises various complex nonlinear interactions among different parameters to drive the integration of renewable energy into the grid. It considers how artificial intelligence and machine learning techniques are being developed to produce more reliable energy generation to optimize system performance and provide sustainable development. As the use of artificial intelligence to revolutionize the energy market and harness the potential of renewable energy is essential, this reference provides practical guidance on the application of renewable energy with AI, along with machine learning techniques and capabilities in design, modeling and for forecasting performance predictions for the optimization of renewable energy systems. It is targeted at researchers, academicians and industry professionals working in the field of renewable energy, AI, machine learning, grid Stability and energy generation. Covers the best-performing methods and approaches for designing renewable energy systems with AI integration in a real-time environment Gives advanced techniques for monitoring current technologies and how to efficiently utilize the energy grid spectrum Addresses the advanced field of renewable generation, from research, impact and idea development of new applications

PowerFactory Applications for Power System Analysis

Author: Francisco M. Gonzalez-Longatt

Publisher: Springer

Published: 2014-12-27

Total Pages: 496

ISBN-13: 3319129589

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This book presents a comprehensive set of guidelines and applications of DIgSILENT PowerFactory, an advanced power system simulation software package, for different types of power systems studies. Written by specialists in the field, it combines expertise and years of experience in the use of DIgSILENT PowerFactory with a deep understanding of power systems analysis. These complementary approaches therefore provide a fresh perspective on how to model, simulate and analyse power systems. It presents methodological approaches for modelling of system components, including both classical and non-conventional devices used in generation, transmission and distribution systems, discussing relevant assumptions and implications on performance assessment. This background is complemented with several guidelines for advanced use of DSL and DPL languages as well as for interfacing with other software packages, which is of great value for creating and performing different types of steady-state and dynamic performance simulation analysis. All employed test case studies are provided as supporting material to the reader to ease recreation of all examples presented in the book as well as to facilitate their use in other cases related to planning and operation studies. Providing an invaluable resource for the formal instruction of power system undergraduate/postgraduate students, this book is also a useful reference for engineers working in power system operation and planning.

Book Synopsis PowerFactory Applications for Power System Analysis by : Francisco M. Gonzalez-Longatt

Download or read book PowerFactory Applications for Power System Analysis written by Francisco M. Gonzalez-Longatt and published by Springer. This book was released on 2014-12-27 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a comprehensive set of guidelines and applications of DIgSILENT PowerFactory, an advanced power system simulation software package, for different types of power systems studies. Written by specialists in the field, it combines expertise and years of experience in the use of DIgSILENT PowerFactory with a deep understanding of power systems analysis. These complementary approaches therefore provide a fresh perspective on how to model, simulate and analyse power systems. It presents methodological approaches for modelling of system components, including both classical and non-conventional devices used in generation, transmission and distribution systems, discussing relevant assumptions and implications on performance assessment. This background is complemented with several guidelines for advanced use of DSL and DPL languages as well as for interfacing with other software packages, which is of great value for creating and performing different types of steady-state and dynamic performance simulation analysis. All employed test case studies are provided as supporting material to the reader to ease recreation of all examples presented in the book as well as to facilitate their use in other cases related to planning and operation studies. Providing an invaluable resource for the formal instruction of power system undergraduate/postgraduate students, this book is also a useful reference for engineers working in power system operation and planning.

Emerging Trends in Electrical, Communications, and Information Technologies

Author: T. Hitendra Sarma

Publisher: Springer Nature

Published: 2019-09-24

Total Pages: 794

ISBN-13: 981138942X

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This book includes original, peer-reviewed research from the 3rd International Conference on Emerging Trends in Electrical, Communication and Information Technologies (ICECIT 2018), held at Srinivasa Ramanujan Institute of Technology, Ananthapuramu, Andhra Pradesh, India in December 2018. It covers the latest research trends and developments in the areas of Electrical Engineering, Electronic and Communication Engineering, and Computer Science and Information.

Book Synopsis Emerging Trends in Electrical, Communications, and Information Technologies by : T. Hitendra Sarma

Download or read book Emerging Trends in Electrical, Communications, and Information Technologies written by T. Hitendra Sarma and published by Springer Nature. This book was released on 2019-09-24 with total page 794 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes original, peer-reviewed research from the 3rd International Conference on Emerging Trends in Electrical, Communication and Information Technologies (ICECIT 2018), held at Srinivasa Ramanujan Institute of Technology, Ananthapuramu, Andhra Pradesh, India in December 2018. It covers the latest research trends and developments in the areas of Electrical Engineering, Electronic and Communication Engineering, and Computer Science and Information.