An Intelligent Control System For A Hybrid Fuel Cell With Gas Turbine Power Plant
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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.
Hybrid Energy Systems
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Author : Bahman Zohuri
language : en
Publisher: Springer
Release Date : 2017-11-25
Hybrid Energy Systems written by Bahman Zohuri and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-25 with Technology & Engineering categories.
This book discusses innovations in the field of hybrid energy storage systems (HESS) and covers the durability, practicality, cost-effectiveness, and utility of a HESS. It demonstrates how the coupling of two or more energy storage technologies can interact with and support renewable energy power systems. Different structures of stand-alone renewable energy power systems with hybrid energy storage systems such as passive, semi-active, and active hybrid energy storage systems are examined. A detailed review of the state-of-the-art control strategies, such as classical control strategies and intelligent control strategies for renewable energy power systems with hybrid energy storage systems are highlighted. The future trends for combination and control of the two systems are also discussed.
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.
Intelligent Control Of Connected Plug In Hybrid Electric Vehicles
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Author : Amir Taghavipour
language : en
Publisher: Springer
Release Date : 2019-12-10
Intelligent Control Of Connected Plug In Hybrid Electric Vehicles written by Amir Taghavipour and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-10 with Technology & Engineering categories.
Intelligent Control of Connected Plug-in Hybrid Electric Vehicles presents the development of real-time intelligent control systems for plug-in hybrid electric vehicles, which involves control-oriented modelling, controller design, and performance evaluation. The controllers outlined in the book take advantage of advances in vehicle communications technologies, such as global positioning systems, intelligent transportation systems, geographic information systems, and other on-board sensors, in order to provide look-ahead trip data. The book contains simple and efficient models and fast optimization algorithms for the devised controllers to address the challenge of real-time implementation in the design of complex control systems. Using the look-ahead trip information, the authors of the book propose intelligent optimal model-based control systems to minimize the total energy cost, for both grid-derived electricity and fuel. The multilayer intelligent control system proposed consists of trip planning, an ecological cruise controller, and a route-based energy management system. An algorithm that is designed to take advantage of previewed trip information to optimize battery depletion profiles is presented in the book. Different control strategies are compared and ways in which connecting vehicles via vehicle-to-vehicle communication can improve system performance are detailed. Intelligent Control of Connected Plug-in Hybrid Electric Vehicles is a useful source of information for postgraduate students and researchers in academic institutions participating in automotive research activities. Engineers and designers working in research and development for automotive companies will also find this book of interest. Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
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.
New Control Strategy For Hybrid Fuel Cell Battery Power Systems With Improved Efficiency
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Author : 趙中興 (機械工程)
language : en
Publisher:
Release Date : 2013
New Control Strategy For Hybrid Fuel Cell Battery Power Systems With Improved Efficiency written by 趙中興 (機械工程) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.
Intelligent Control In Energy Systems
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Author : Anastasios Dounis
language : en
Publisher:
Release Date : 2019
Intelligent Control In Energy Systems written by Anastasios Dounis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Electronic books categories.
Proceedings Of The International Conference On Advanced Intelligent Systems And Informatics 2016
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Author : Aboul Ella Hassanien
language : en
Publisher: Springer
Release Date : 2016-10-20
Proceedings Of The International Conference On Advanced Intelligent Systems And Informatics 2016 written by Aboul Ella Hassanien and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-20 with Technology & Engineering categories.
This book gathers the proceedings of the 2nd International Conference on Advanced Intelligent Systems and Informatics (AISI2016), which took place in Cairo, Egypt during October 24–26, 2016. This international interdisciplinary conference, which highlighted essential research and developments in the field of informatics and intelligent systems, was organized by the Scientific Research Group in Egypt (SRGE) and sponsored by the IEEE Computational Intelligence Society (Egypt chapter) and the IEEE Robotics and Automation Society (Egypt Chapter). The book’s content is divided into four main sections: Intelligent Language Processing, Intelligent Systems, Intelligent Robotics Systems, and Informatics.
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.
Fuel Cell And Distributed Generation
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Author : Francisco Jurado Melguizo
language : en
Publisher:
Release Date : 2007-01-01
Fuel Cell And Distributed Generation written by Francisco Jurado Melguizo and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-01-01 with Distributed generation of electric power categories.
Distributed generation is defined as the installation and operation of electric power generation units connected directly to the distribution network. The fundamental idea of distributed generation, is to situate generation close to the load, therefore on the distribution network or on the customer side of the meter. A fully mature fuel cell industry constitutes a potential opportunity to electric utilities. It could meliorate the technical and financial performance of existing distribution lines by improving service quality and reliability. When fuel cells connect to the power system, both the owner of the energy resource and the central power system benefit. Reliability increases for both because they can support each other. However, the interconnection of fuel cell plants to the grid is still hindered by restrictive conditions and procedures for grid connection. Problems arise with regard to determination of the point of connection, safety and stability issues. Most important it is needed to establish a standardized technical interface for allocation of connection that take into account possible positive effects of distributed generation on transmission and distribution losses. With respect to residential applications, in Chapter 1 are presented regulations, codes, standards and technical aspects of grid connection. A group of contributions in this book is dedicated to some aspects of control. Chapter 2 focuses on the operation and control of the solid oxide fuel cell distributed generator for stationary power application. In Chapter 3, the control of grid-connected fuel cell-based distributed generation systems is discussed first. Then, the load transient mitigation techniques for stand-alone systems are also investigated. Chapter 4 discusses various issues related to system penetration, system operation and control. The next chapters deal with analyses of energy systems. Chapter 5 presents energy system analysis tools. By use of the tools, it is possible to analyze an energy system in which fuel cells provide different services. In Chapter 6, a method for forest biomass exploitation for energy production purposes is presented. This work addresses an hybrid system based on the coupling of a gas turbine with a high temperature solid oxide fuel cell. Chapter 7 focuses on a suite of software modules for computer-aided modeling of solid-polymer fuel cells. Chapter 8 develops nonlinear models of solid oxide fuel cell. And finally, Chapter 9 describes artificial intelligence applications to fuel cell inverters. As editor, I would like to thank all authors for their contributions. I hope that you, the reader, will profit from the results presented in this special review book. It may promote you to join the fascinating field of fuel cell and distributed generation.