Dynamic State Estimation for Power Systems Under Unconventional Measurements
暫譯: 基於非常規測量的電力系統動態狀態估計
Qu, Bogang, Wang, Zidong, Shen, Bo
- 出版商: CRC
- 出版日期: 2026-07-26
- 售價: $7,310
- 貴賓價: 9.5 折 $6,944
- 語言: 英文
- 頁數: 194
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1041163169
- ISBN-13: 9781041163169
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相關分類:
電力電子 Power-electronics
海外代購書籍(需單獨結帳)
商品描述
This book presents advanced Dynamic State Estimation (DSE) methodologies across three power system classes: quasi-steady power systems, synchronous-generator-based multi-machine systems and renewable energy microgrids. The work tackles unconventional measurements including time-delays, multi-rate measurements, event-triggered transmissions, outliers, and sensor saturations including complex factors. The nine-chapter structure progresses from fundamentals through specific applications to future research directions.
- Explore state estimation in power systems and challenges in large, complex grids with high renewable energy integration.
- Provides step-by-step derivations of theoretical results and case studies based on widely used power system benchmarks.
- Addresses two prominent research and technological aspects: soft computing for estimation and power electrical systems.
- Considers practical issues such as online application and computational efficiency in the estimator design,
- Reviews analysis techniques such as optimal estimation technique, completing the square method, stochastic analysis technique, and entropy theory
This book is aimed at graduate students and researchers in electrical engineering, power systems, control systems, and signal processing.
商品描述(中文翻譯)
本書介紹了三種電力系統類別中的先進動態狀態估計(Dynamic State Estimation, DSE)方法論:準穩態電力系統、基於同步發電機的多機系統以及可再生能源微電網。本書探討了非常規測量,包括時間延遲、多速率測量、事件觸發傳輸、異常值和傳感器飽和等複雜因素。全書共九章,從基本原理開始,逐步深入到具體應用,並展望未來的研究方向。
- 探索電力系統中的狀態估計及在高可再生能源整合的大型複雜電網中的挑戰。
- 提供理論結果的逐步推導和基於廣泛使用的電力系統基準的案例研究。
- 涉及兩個突出的研究和技術方面:用於估計的軟計算和電力電氣系統。
- 考慮實際問題,如在線應用和估計器設計中的計算效率。
- 回顧分析技術,如最優估計技術、完全平方法、隨機分析技術和熵理論。
本書旨在為電機工程、電力系統、控制系統和信號處理的研究生和研究人員提供參考。
作者簡介
Bogang Qu received the B.Eng. degree in electrical engineering and automation and the M.Eng. degree in electrical engineering from University of Shanghai for Science and Technology, Shanghai, China, in 2014 and 2017, respectively, and the Ph.D. degree in control science and engineering from Donghua University, Shanghai, China, in 2022. He is currently a Lecturer with the College of Automation Engineering, Shanghai University of Electric Power, Shanghai. From November 2021 to October 2022, he was a visiting Ph.D. Student with the Department of Computer Science, Brunel University London, Uxbridge, U.K. His current research interests include state estimation and information perception and their applications in smart grids. He is a very active reviewer for many international journals.
Zidong Wang is Professor of Dynamical Systems and Computing at Brunel University London, London, U.K. He was born in 1966 in Yangzhou, Jiangsu, China. He received the BSc degree in Mathematics in 1986 from Suzhou University, Suzhou, the MSc degree in Applied Mathematics in 1990 and the PhD degree in Electrical and Computer Engineering in 1994, both from Nanjing University of Science and Technology, Nanjing. He was appointed as Lecturer in 1990 and Associate Professor in 1994 at Nanjing University of Science and Technology. From January 1997 to December 1998, he was an Alexander von Humboldt research fellow with the Control Engineering Laboratory, Ruhr-University Bochum, Germany. From January 1999 to February 2001, he was a Lecturer with the Department of Mathematics, University of Kaiserslautern, Germany. From March 2001 to July 2002, he was a University Senior Research Fellow with the School of Mathematical and Information Sciences, Coventry University, U.K. In August 2002, he joined the Department of Computer Science, Brunel University London, U.K., as a Lecturer, and was then promoted to a Reader in September 2003 and to a Chair Professor in July 2007. Professor Wang's research interests include dynamical systems, signal processing, bioinformatics, control theory and applications. He has published more than 700 papers in refereed international journals. He was awarded the Humboldt research fellowship in 1996 from Alexander von Humboldt Foundation, the JSPS Research Fellowship in 1998 from Japan Society for the Promotion of Science, and the William Mong Visiting Research Fellowship in 2002 from the University of Hong Kong. He was a recipient of the State Natural Science Award from the State Council of China in 2014 and the Outstanding Science and Technology Development Awards (once in 2005 and twice in 1997) from the National Education Committee of China. Professor Wang is currently serving or has served as the Editor-in-Chief for International Journal of Systems Science, the Editor-in-Chief for Neurocomputing, Executive Editor for Systems Science and Control Engineering, Subject Editor for Journal of The Franklin Institute, an Associate Editor for IEEE Transactions on Automatic Control, IEEE Transactions on Control Systems Technology, IEEE Transactions on Systems, Man, and Cybernetics- Systems, Asian Journal of Control, Science China Information Sciences, IEEE/CAA Journal of Automatica Sinica, Control Theory and Technology, an Action Editor for Neural Networks, an Editorial Board Member for Information Fusion, IET Control Theory & Applications, Complexity, International Journal of Systems Science, Neurocomputing, International Journal of General Systems, Studies in Autonomic, Data-driven and Industrial Computing, and a member of the Conference Editorial Board for the IEEE Control Systems Society. He served as an Associate Editor for IEEE Transactions on Neural Networks, IEEE Transactions on Systems, Man, and Cybernetics - Part C, IEEE Transactions on Signal Processing, Circuits, Systems & Signal Processing, and an Editorial Board Member for International Journal of Computer Mathematics.
Professor Wang is a Member of the Academia Europaea (section of Physics and Engineering Sciences), a Fellow of the IEEE (for contributions to networked control and complex networks), a Fellow of the Chinese Association of Automation, a Member of the IEEE Press Editorial Board, a Member of the EPSRC Peer Review College of the UK, a Fellow of the Royal Statistical Society, a member of program committee for many international conferences, and a very active reviewer for many international journals. He was nominated an appreciated reviewer for IEEE Transactions on Signal Processing in 2006- 2008 and 2011, an appreciated reviewer for IEEE Transactions on Intelligent Transportation Systems in 2008, an outstanding reviewer for IEEE Transactions on Automatic Control in 2004 and for the journal Automatica in 2000.
Bo Shen received the B.Sc. degree in mathematics from Northwestern Polytechnical University, Xi'an, China, in 2003, and the Ph.D. degree in control theory and control engineering from Donghua University, Shanghai, China, in 2011. He is currently a Professor with the School of Information Science and Technology, Donghua University. From 2009 to 2010, he was a Research Assistant with the Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong. From 2010 to 2011, he was a Visiting Ph.D. Student with the Department of Information Systems and Computing, Brunel University London, London, U.K. From 2011 to 2013, he was a Research Fellow (Scientific Co-Worker) with the Institute for Automatic Control and Complex Systems, University of Duisburg-Essen, Duisburg, Germany. He has published around 80 articles in refereed international journals. His research interests include nonlinear control and filtering, stochastic control and filtering, as well as complex networks and neural networks. Prof. Shen serves (or has served) as an Associate Editor or Editorial Board Member for eight international journals, including Systems Science and Control Engineering, Journal of The Franklin Institute, Asian Journal of Control, Circuits, Systems, and Signal Processing, Neurocomputing, Assembly Automation, Neural Processing Letters, and Mathematical Problems in Engineering. He is a program committee member for many international conferences.
作者簡介(中文翻譯)
Bogang Qu於2014年和2017年分別在中國上海科技大學獲得電氣工程與自動化的學士學位和電氣工程的碩士學位,並於2022年在中國東華大學獲得控制科學與工程的博士學位。他目前是上海電力大學自動化工程學院的講師。從2021年11月到2022年10月,他曾在英國倫敦布魯內爾大學計算機科學系擔任訪問博士生。他目前的研究興趣包括狀態估計和信息感知及其在智慧電網中的應用。他是多本國際期刊的活躍審稿人。
Zidong Wang是英國倫敦布魯內爾大學動態系統與計算的教授。他於1966年出生於中國江蘇省揚州市。1986年,他在蘇州大學獲得數學學士學位,1990年在南京科技大學獲得應用數學碩士學位,1994年獲得電氣與計算機工程博士學位。他於1990年被任命為南京科技大學的講師,並於1994年晉升為副教授。1997年1月至1998年12月,他在德國波鴻魯爾大學控制工程實驗室擔任亞歷山大·馮·洪堡研究員。1999年1月至2001年2月,他在德國凱瑟斯勞滕大學數學系擔任講師。2001年3月至2002年7月,他在英國考文垂大學數學與信息科學學院擔任大學高級研究員。2002年8月,他加入英國倫敦布魯內爾大學計算機科學系擔任講師,並於2003年9月晉升為讀者,2007年7月晉升為講座教授。王教授的研究興趣包括動態系統、信號處理、生物信息學、控制理論及其應用。他在國際期刊上發表了超過700篇論文。他於1996年獲得亞歷山大·馮·洪堡基金會的洪堡研究獎學金,1998年獲得日本科學促進會的JSPS研究獎學金,2002年獲得香港大學的William Mong訪問研究獎學金。他於2014年獲得中國國務院的國家自然科學獎,並於1997年和2005年獲得中國國家教育委員會的優秀科技發展獎(共三次)。王教授目前擔任或曾擔任《國際系統科學期刊》的主編、《神經計算》的主編、《系統科學與控制工程》的執行編輯、《富蘭克林學會期刊》的主題編輯、《IEEE自動控制學報》、《IEEE控制系統技術學報》、《IEEE系統、人類與控制論學報》、《亞洲控制學報》、《科學中國信息科學》、《IEEE/CAA自動化學報》、《控制理論與技術》的副編輯、《神經網絡》的行動編輯、《信息融合》、《IET控制理論與應用》、《複雜性》、《國際系統科學期刊》、《神經計算》、《一般系統國際期刊》、《自動化、數據驅動和工業計算研究》等期刊的編輯委員會成員,並且是IEEE控制系統學會的會議編輯委員會成員。他曾擔任《IEEE神經網絡學報》、《IEEE系統、人類與控制論學報 - C部分》、《IEEE信號處理學報》、《電路、系統與信號處理學報》的副編輯,以及《國際計算數學期刊》的編輯委員會成員。
王教授是歐洲科學院(物理與工程科學部)的成員,IEEE會士(因對網絡控制和複雜網絡的貢獻),中國自動化學會會士,IEEE出版社編輯委員會成員,英國EPSRC同行評審委員會成員,皇家統計學會會士,並且是多個國際會議的程序委員會成員,也是多本國際期刊的活躍審稿人。他在2006-2008年和2011年被提名為《IEEE信號處理學報》的優秀審稿人,2008年被提名為《IEEE智能交通系統學報》的優秀審稿人,2004年被評為《IEEE自動控制學報》的傑出審稿人,2000年則是《Automatica》的傑出審稿人。
Bo Shen於2003年在中國西安西北工業大學獲得數學學士學位,並於2011年在中國東華大學獲得控制理論與控制工程的博士學位。他目前是東華大學信息科學與技術學院的教授。2009年至2010年,他在香港大學電氣與電子工程系擔任研究助理。2010年至2011年,他在英國倫敦布魯內爾大學信息系統與計算系擔任訪問博士生。2011年至2013年,他在德國杜伊斯堡-埃森大學自動控制與複雜系統研究所擔任研究員(科學合作者)。他在國際期刊上發表了約80篇文章。他的研究興趣包括非線性控制與過濾、隨機控制與過濾,以及複雜網絡和神經網絡。沈教授擔任(或曾擔任)八本國際期刊的副編輯或編輯委員會成員,包括《系統科學與控制工程》、《富蘭克林學會期刊》、《亞洲控制學報》、《電路、系統與信號處理》、《神經計算》、《組裝自動化》、《神經處理信件》和《工程中的數學問題》。他是多個國際會議的程序委員會成員。