Reconstruction And Intelligent Control For Power Plant
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Reconstruction And Intelligent Control For Power Plant
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Author : Chen Peng
language : en
Publisher: Springer Nature
Release Date : 2022-09-21
Reconstruction And Intelligent Control For Power Plant written by Chen Peng and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-21 with Technology & Engineering categories.
The authors' innovative research ideas in power plant control are presented in this book. This book focuses on 1) cognition and reconstruction of the temperature field; 2) intelligent setting and learning of power plants; 3) energy efficiency optimization and intelligent control for power plants, and so on, using historical power plant operation data and creative methods such as reconstruction of the combustion field, deep reinforcement learning, and networked collaborative control. It could help researchers, industrial engineers, and graduate students in the areas of signal detection, image processing, and control engineering.
An Intelligent Control System For A Hybrid Fuel Cell With Gas Turbine Power Plant
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Author : Wenli Yang
language : en
Publisher:
Release Date : 2009
An Intelligent Control System For A Hybrid Fuel Cell With Gas Turbine Power Plant written by Wenli Yang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.
Fuel cell power plant is a novel, clean and efficient energy source in distributed generation, and received extensive attentions from researchers, developers, and governments in recent decades. As one of the most advanced fuel cell technologies, hybrid fuel cell power plant has shown its potential for applications and is already under commercialization. A hybrid fuel cell with gas turbine power plant was envisioned as a base-load power source for distributed generation. As an emerging technique, the need of advanced control systems, which are essential components that guarantee reliable and efficient operations for the power plant, has motivated this investigation. This dissertation seeks to develop an intelligent control system to improve the energy conversion efficiency and the reliability of the hybrid fuel cell power plant. Toward this goal, an intelligent overall control system is established in the dissertation by developing and integrating a hybrid plant model, an optimal reference governor, and a fault diagnosis and accommodation system in the comprehensive control system. The hybrid plant model provides a novel modeling method that combines a mathematical model and a neural network model, which can identify plant parameters and uncertainties from operational data and can considerably improve the model accuracy for the following and future analysis and research work. The optimal reference governor is achieved by particle swarm optimization algorithms and a neural network state estimator to generate optimal setpoints and feedforward controls to improve plant efficiency. A nonlinear multi-objective optimization framework is developed by integrating heuristic optimization and artificial neural network technologies. Meanwhile, a fault diagnosis and accommodation system is implemented with fuzzy logic to detect and regulate system faults, preventing instabilities and damages to the power plant during system failures. The capability of the fuzzy theory in detecting and regulating system faults is demonstrated. The individual control systems are finally integrated into a comprehensive system that provides overall management for the hybrid power plant. With the integrated control system, the power plant can have high energy conversion efficiency in normal operations and can be well regulated during system failures. As a result, an intelligent autonomous control system is achieved to perform high quality plant-wide control, by which both efficiency and reliability can be guaranteed. Moreover, the presented intelligent control system and its design approach are not only valid for the hybrid fuel cell power plant, but also capable of other types of power plants, where efficiency and reliability need to be improved and guaranteed.
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.
Intelligent Control In Energy Systems
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Author : Anastasios Dounis
language : en
Publisher: MDPI
Release Date : 2019-08-26
Intelligent Control In Energy Systems written by Anastasios Dounis and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-26 with Science categories.
The editors of this Special Issue titled “Intelligent Control in Energy Systems” have attempted to create a book containing original technical articles addressing various elements of intelligent control in energy systems. In response to our call for papers, we received 60 submissions. Of those submissions, 27 were published and 33 were rejected. In this book, we offer the 27 accepted technical articles as well as one editorial. Authors from 15 countries (China, Netherlands, Spain, Tunisia, United Sates of America, Korea, Brazil, Egypt, Denmark, Indonesia, Oman, Canada, Algeria, Mexico, and the Czech Republic) elaborate on several aspects of intelligent control in energy systems. The book covers a broad range of topics including fuzzy PID in automotive fuel cell and MPPT tracking, neural networks for fuel cell control and dynamic optimization of energy management, adaptive control on power systems, hierarchical Petri Nets in microgrid management, model predictive control for electric vehicle battery and frequency regulation in HVAC systems, deep learning for power consumption forecasting, decision trees for wind systems, risk analysis for demand side management, finite state automata for HVAC control, robust μ-synthesis for microgrids, and neuro-fuzzy systems in energy storage.
Autonomous Nuclear Power Plants With Artificial Intelligence
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Author : Jonghyun Kim
language : en
Publisher: Springer Nature
Release Date : 2023-02-20
Autonomous Nuclear Power Plants With Artificial Intelligence written by Jonghyun Kim and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-20 with Technology & Engineering categories.
This book introduces novel approaches and practical examples of autonomous nuclear power plants that minimize operator intervention. Autonomous nuclear power plants with artificial intelligence presents a framework to enable nuclear power plants to autonomously operate and introduces artificial intelligence (AI) techniques to implement its functions. Although nuclear power plants are already highly automated to reduce human errors and guarantee the reliability of system operations, the term “autonomous” is still not popular because AI techniques are regarded as less proven technologies. However, the use of AI techniques and the autonomous operation seems unavoidable because of their great advantages, especially, in advanced reactors and small modular reactors. The book includes the following topics: Monitoring, diagnosis, and prediction. Intelligent control. Operator support systems. Operator-autonomous system interaction. Integration into the autonomous operation system. This book will provides useful information for researchers and students who are interested in applying AI techniques in the fields of nuclear as well as other industries. This book covers broad practical applications of AI techniques from the classical fault diagnosis to more recent autonomous control. In addition, specific techniques and modelling examples are expected to be very informative to the beginners in the AI studies.
Application Of Intelligent Control Algorithms To Study The Dynamics Of Hybrid Power System
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Author : Dipayan Guha
language : en
Publisher: Springer Nature
Release Date : 2022-03-30
Application Of Intelligent Control Algorithms To Study The Dynamics Of Hybrid Power System written by Dipayan Guha and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-30 with Technology & Engineering categories.
This book aims to systematically review and design different intelligent control algorithms for the small-signal stability assessment of HPS. With the growing consciousness of global warming and the fast depletion of natural power generation resources, the existing power system is on the verge of transitions to a “hybrid power system (HPS)” integrated with distributed energy resources. The recent results and requirements for the developments of intelligent control algorithms have motivated the authors to introduce this book for extensively analyzing the performance of HPS against unknown/uncertain disturbances. This book introduces fractional-order resilient control methodologies for arresting small-signal instability of HPS. The prospective investigation has been performed on the MATLAB platform. This book is helpful for undergraduate, postgraduate students, and research scholars working in power system stability, control applications, and soft computing in particular.
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.
New Energy Power Generation Automation And Intelligent Technology
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Author : Pengfei Gu
language : en
Publisher: Springer
Release Date : 2024-10-02
New Energy Power Generation Automation And Intelligent Technology written by Pengfei Gu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-02 with Technology & Engineering categories.
This book is the 1st volume of proceedings of the 1st Smart Nuclear Power Technology Forum and the 8th China Nuclear Power Plant Digital Technology and Application Seminar held in Shenzhen, China in June 2024. This seminar aims to explore the software and hardware of digital and instrument control (I&C) systems in nuclear power plants, such as inspection, testing, certification and research of sensors, actuators and control systems, and the application of electrical and intelligent operation and maintenance technologies. It aims to provide a platform for experts, scholars and nuclear power practitioners to exchange technology and share experience. At the same time, it also provides a platform for the combination of universities and enterprises in the aspects of production, education and research, and promotes the safe development of nuclear power plants. In addition, readers will encounter new ideas to achieve more efficient and safer instruments and control systems.
New Energy Power Generation Automation And Intelligent Technology
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Author : Pengfei Gu
language : en
Publisher: Springer
Release Date : 2024-10-02
New Energy Power Generation Automation And Intelligent Technology written by Pengfei Gu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-02 with Technology & Engineering categories.
This book is the 2nd volume of proceedings of the 1st Smart Nuclear Power Technology Forum and the 8th China Nuclear Power Plant Digital Technology and Application Seminar held in Shenzhen, China in June 2024. This seminar aims to explore the software and hardware of digital and instrument control (I&C) systems in nuclear power plants, such as inspection, testing, certification and research of sensors, actuators and control systems, and the application of electrical and intelligent operation and maintenance technologies. It aims to provide a platform for experts, scholars and nuclear power practitioners to exchange technology and share experience. At the same time, it also provides a platform for the combination of universities and enterprises in the aspects of production, education and research, and promotes the safe development of nuclear power plants. In addition, readers will encounter new ideas to achieve more efficient and safer instruments and control systems.
New Energy Power Generation Automation And Intelligent Technology
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Author : Pengfei Gu
language : en
Publisher: Springer
Release Date : 2024-05-26
New Energy Power Generation Automation And Intelligent Technology written by Pengfei Gu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-26 with Technology & Engineering categories.
This book is a compilation of selected papers from the Seventh Symposium on Digital Instrumentation and Control Technology for Nuclear Power Plant, held online on January 11, 2023. The purpose of this symposium is to discuss inspection, test, certification and research for the software and hardware of Instrumentation and Control (I&C) systems in nuclear power plants (NPP), such as sensors, actuators and control system. It provides a platform of technical exchange and experience sharing for those broad masses of experts and scholars and nuclear power practitioners. At the same time, it also provides a platform for the combination of production, teaching and research in universities and enterprises to promote the safe development of nuclear power plant. Readers will encounter new ideas for realizing a more efficient and safer instrumentation and control system.