Intelligent Automatic Generation Control
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Intelligent Automatic Generation Control
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Author : Hassan Bevrani
language : en
Publisher: CRC Press
Release Date : 2017-12-19
Intelligent Automatic Generation Control written by Hassan Bevrani and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-19 with Technology & Engineering categories.
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
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Author :
language : en
Publisher:
Release Date : 2011
Intelligent Automatic Generation Control written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.
Automatic Generation Control In Electrical Power System
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Author : Dr. Md. Faruk Hossain
language : en
Publisher: LAP Lambert Academic Publishing
Release Date : 2013
Automatic Generation Control In Electrical Power System written by Dr. Md. Faruk Hossain and has been published by LAP Lambert Academic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.
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).
Intelligent Control In Power Generation
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Author : Bassel Bashir Copti
language : en
Publisher:
Release Date : 1996
Intelligent Control In Power Generation written by Bassel Bashir Copti and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with categories.
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.
Artificial Intelligence In Industrial Decision Making Control And Automation
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Author : S.G. Tzafestas
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Artificial Intelligence In Industrial Decision Making Control And Automation written by S.G. Tzafestas and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
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 Deregulated Environment
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Author : Jennathu Beevi S
language : en
Publisher:
Release Date : 2023-02-02
Automatic Generation Control In Deregulated Environment written by Jennathu Beevi S and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-02 with categories.
Automatic Generation Control (AGC) is a process used to regulate the output of power plants to meet changes in electricity demand; In a deregulated environment, the traditional centralized control of the power system is replaced by market-based operations, where individual generators compete to sell electricity to the grid; AGC in this context plays a critical role in ensuring power system stability and maintaining the balance between electricity supply and demand; AGC algorithms take into account various factors such as real-time pricing, economic dispatch, and the integration of renewable energy sources; Advanced control techniques and smart grid technology are also employed to improve the efficiency and effectiveness of AGC in deregulated power systems; The role of Independent System Operators (ISOs) and Energy Management Systems (EMS) is also crucial in facilitating AGC in a deregulated environment. the framework of electricity utilities all over the world has undergone significant changes. Also, electric power companies face many challenges due to the increasing electricity demand. It is very critical in power systems that electrical energy should be delivered to consumers with reasonable quality and reliability. The conventional way of supplying electricity has been through vertically integrated utilities which are regulated in all their operations i.e., generation, transmission, and distribution by legal monopolistic entities. Such firms were closely supervised by regulatory agencies or under strict political supervision. Electricity utilities have been under pressure from 1970s, for a variety of reasons, such as the oil crisis, increased demand, increased environmental impact, speculation of a relationship between the industry and its regulators, and evolving technology. Weak planning and environmental practices, price spikes, and high construction costs of hydro, coal and nuclear power plants have also been reported. Traditional business systems have opposed innovative energy-saving initiatives or the creation of small-scale renewable energy technologies and consumers have very few options available. Customers are required to pay an average tariff in a vertically integrated system, as it is often difficult to distinguish the costs involved in production, transmission and distribution. The industry has therefore been vulnerable to transition and the system, and all its functions, remained the same for several years, within a certain geographic region controlled by a monopoly.
Applications Of Computing Automation And Wireless Systems In Electrical Engineering
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Author : Sukumar Mishra
language : en
Publisher: Springer
Release Date : 2019-05-31
Applications Of Computing Automation And Wireless Systems In Electrical Engineering written by Sukumar Mishra and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-31 with Technology & Engineering categories.
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.
Power System Frequency Control
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Author : Dillip Kumar Mishra
language : en
Publisher: Elsevier
Release Date : 2023-02-23
Power System Frequency Control written by Dillip Kumar Mishra and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-23 with Science categories.
Power System Frequency Control: Modeling and Advances evaluates the control schemata, secondary controllers, stability improvement methods, optimization considerations, microgrids, multi-microgrids, and real-time validation required to model and analyze the dynamic behavior of frequency in power systems. Chapters review a range of advanced modeling and analytical considerations for single to multi-area networks using traditional and hybrid sources, including renewable sources, FACT devices and storage. The work also considers broad aspects of upstream and downstream control mechanisms which enable novel solutions in the area of automatic generation control in power system networks. Highly recommended for power system engineers, researchers and practitioners with interests in load frequency control, automatic generation control, linearized models of isolated microgrid, and multi-microgrid, and hybrid LFC scheme, this book is an ideal resource on the topics discussed. Explains the function and purpose of power network frequency loops, including primary control, secondary control and emergency control loops Models LFC schemes from single-area to multi-area interconnected power systems Demonstrates five fundamental controller designs alongside their main error principles Evaluates dynamic response analysis with transient performance stated for modern indices Discusses performance studies such as state-space modeling, random loading, sensitivity and stability analyses
Computational Intelligence In Pattern Recognition
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Author : Asit Kumar Das
language : en
Publisher: Springer
Release Date : 2019-08-17
Computational Intelligence In Pattern Recognition written by Asit Kumar Das and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-17 with Technology & Engineering categories.
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.
Sustainable Developments By Artificial Intelligence And Machine Learning For Renewable Energies
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Author : Krishna Kumar
language : en
Publisher: Academic Press
Release Date : 2022-03-18
Sustainable Developments By Artificial Intelligence And Machine Learning For Renewable Energies written by Krishna Kumar and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-18 with Science categories.
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