Application of Computational Techniques in Power Systems for Power Quality Improvement
暫譯: 電力系統中計算技術應用於電能品質改善

Kaliannan, Jagatheesan, Dhanasekaran, Boopathi, Samanta, Sourav

  • 出版商: CRC
  • 出版日期: 2025-12-26
  • 售價: $4,120
  • 貴賓價: 9.5$3,914
  • 語言: 英文
  • 頁數: 122
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 104110944X
  • ISBN-13: 9781041109440
  • 相關分類: Machine Learning
  • 海外代購書籍(需單獨結帳)

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商品描述

This book explores the role of computational intelligence techniques in addressing power quality challenges in modern power systems. It examines the integration of multiple energy sources, renewable energy systems, and energy storage units while analysing nonlinearities in power plants. The book introduces optimisation methods, including machine learning, genetic algorithms, and neural networks, to enhance power system stability, reliability, and efficiency. It bridges theoretical insights with real-world applications in modern power networks.

- Explores the use of AI techniques, including genetic algorithms and fuzzy logic, for power system analysis and optimisation.

- Examines power quality issues such as frequency deviations, tie-line power flow variations, and area control errors

- Discusses the tuning of secondary controllers, including PID controllers, using advanced optimisation algorithms

- Addresses PQ challenges posed by renewable energy integration and energy storage units

- Covers real-time system monitoring and control for maintaining power quality under nonlinear operating conditions

- Provides a structured approach to analysing system behaviour using mathematical modelling and time-domain simulations

This book serves as a valuable resource for researchers, professionals, and students in power system engineering, computational intelligence, and smart grid technologies.

商品描述(中文翻譯)

這本書探討計算智能技術在解決現代電力系統中電能品質挑戰的角色。它檢視多種能源來源、可再生能源系統及儲能單元的整合,同時分析發電廠中的非線性問題。書中介紹了優化方法,包括機器學習、遺傳演算法和神經網絡,以增強電力系統的穩定性、可靠性和效率。它將理論見解與現代電力網絡中的實際應用相結合。

- 探討使用人工智慧技術,包括遺傳演算法和模糊邏輯,進行電力系統分析和優化。
- 檢視電能品質問題,如頻率偏差、聯絡線功率流變化和區域控制誤差。
- 討論使用先進的優化演算法調整次級控制器,包括PID控制器。
- 解決可再生能源整合和儲能單元所帶來的電能品質挑戰。
- 涵蓋在非線性操作條件下維持電能品質的實時系統監控和控制。
- 提供一個結構化的方法,使用數學建模和時域模擬來分析系統行為。

這本書對於電力系統工程、計算智能和智慧電網技術的研究人員、專業人士和學生來說,是一個寶貴的資源。

作者簡介

Jagatheesan Kaliannan is a Professor in the Department of Electronics and Communication Engineering at M. Kumarasamy College of Engineering, Karur, Tamil Nadu, India. He has more than 14 years of teaching experience and 12 years of research experience. He is the author of the book "Bio-Inspired Algorithms in PID Controller Optimization" published by CRC Press, Taylor & Francis Group, New York. Additionally, he has published more than 85 research papers in various reputed journals, book chapters, and international/national conferences with reputed publishers.

His Google Scholar profile shows an h-index of 23 and an i10-index of 42, with 1,734 citations. His primary research interests include power system operation and control, stability analysis, digital controllers, and bio-inspired optimization techniques. He has also organized several national and international-level technical events such as faculty development programs (FDPs), seminars, and workshops. Furthermore, he has published patents and served as a co-coordinator for various academic councils and social activities.

Boopathi Dhanasekaran works as an Associate Professor, Department of Electrical and Electronics Engineering, Paavai Engineering College (Autonomous), Namakkal, Tamil Nadu. He completed B.E (Electrical and Electronics Engineering) in the year 2008, M.E (Applied Electronics) in the year 2011, and Ph.D. degree in the year 2021. He has 16 years of teaching and 13 years of research experience. His research interests are Power system optimization, Power quality, and Power system stability analysis. He has published more than 20 research articles in reputed journals, as book chapters, and through conferences. His h-index is 11, and his i10 index is 11 with more than 350 citations.

Sourav Samanta is currently working as Assistant Professor in the Department of Computer Science and Engineering at University Institute of Technology, The University of Burdwan, West Bengal, India. Before joining the University Institute of Technology, he worked as a lecturer at the Gobindpur Sephali Memorial Polytechnic, Guskara, Burdwan, West Bengal. He has completed Ph.D. on Application of Computer Vision in Smart Agriculture at the Indian Institute of Information Technology, Kalyani. He has completed M. Tech in Computer Science and Engineering from JIS College of Engineering, WBUT, West Bengal and completed B.E in Information Technology from University Institute of Technology, The University of Burdwan, Burdwan, West Bengal respectively. He has approximately twelve years of academic experience. He has also completed a certificate program in Intellectual Property Rights and Technology Business Management from MAKAUT.

He is working with researchers from five different countries. His research area includes Nature Inspired Computing, Quantum Machine Learning, Computer Vision in Agriculture and Information Security. He has authored 75 research papers, including articles in reputed journals, conference proceedings, and book chapters published by IEEE, Springer, Elsevier, and others. As per Google Scholar, he has 2109 citations with an h-index of 24. He is a member of IEEE, ACM, and other professional organizations. He is the co-author of the book Optimization ofWatermarking in Biomedical Signal published by Lambert Academic Publishing. He is also co-editor of the two books: Design Frameworks for Wireless Networks and Architectural Wireless Networks Solutions and Security Issues published by Springer in Lecture Notes in Networks and Systems Series.

Anand Baskar received his B.E. in Electrical and Electronics Engineering in 2001 from Government College of Engineering, Tirunelveli and M.E. in Power Systems Engineering from Annamalai University in 2002, and Ph.D. in Electrical Engineering from Anna University, Chennai, in 2011. Since 2003, he has been associated with Hindusthan College of Engineering and Technology, Coimbatore, Tamil Nadu, India. Currently he is working as a Professor and Head, Department of Electronics and Instrumentation Engineering in the same institution. He is the Chair of the annual IEEE - International Conference on Sustainable Computing and Smart Systems (ICSCSS) being organized by this institution. He received a research grant for a solar-related project from the Anusandhan National Research Foundation (ANRF), Government of India, as an ongoing research work. His research interests include electrical power system operation, control, optimization, and application of AI in power system problems. He has published more than 140 papers in national/international journals and conferences. He is an active member of IEEE, SSI, ISTE, and a Fellow in IE(I).

Kanendra Naidu is a Senior Lecturer at the Faculty of Electrical Engineering, Universiti Teknologi MARA (UiTM), Shah Alam, Malaysia. He holds both an M.Eng.Sc. and a Ph.D. in Electrical Engineering from the University of Malaya. His research focuses on artificial intelligence applications in power systems, including areas such as load frequency control, energy management systems, virtual power plants, and electric vehicle integration. He has authored over 60 publications in esteemed journals like the International Journal of Electrical Power & Energy Systems, IET Generation, Transmission & Distribution, and IEEE Access, amassing more than 2,602 citations with an h-index of 22. He has led and collaborated on various research projects, notably the development of Virtual Power Plants (VPP) for frequency control ancillary services, modeling of electric vehicle (EV) charging patterns integrating photovoltaic-based stations, and a project on multi-energy ship microgrids. Beyond academia, he consults on initiatives related to EV battery recycling, EVSE scheduling, and energy storage systems. Professionally, he is a Chartered Engineer with the IET (UK), a Senior Member of IEEE, and an active member of the Board of Engineers Malaysia (BEM) and the Malaysia Board of Technologists (MBOT).

作者簡介(中文翻譯)

**Jagatheesan Kaliannan** 是印度泰米爾納德邦卡魯爾的 M. Kumarasamy 工程學院電子與通信工程系的教授。他擁有超過 14 年的教學經驗和 12 年的研究經驗。他是由 CRC Press、Taylor & Francis Group 出版的《Bio-Inspired Algorithms in PID Controller Optimization》一書的作者。此外,他在各大知名期刊、書籍章節及國際/國內會議上發表了超過 85 篇研究論文。

他的 Google Scholar 個人資料顯示,h-index 為 23,i10-index 為 42,引用次數達 1,734 次。他的主要研究興趣包括電力系統運行與控制、穩定性分析、數位控制器及生物啟發的優化技術。他還組織了多個國內和國際層級的技術活動,如教師發展計畫 (FDP)、研討會和工作坊。此外,他還發表了專利,並擔任各種學術委員會和社會活動的共同協調人。

**Boopathi Dhanasekaran** 擔任印度泰米爾納德邦納馬卡爾的 Paavai 工程學院(自主)電氣與電子工程系的副教授。他於 2008 年獲得電氣與電子工程學士學位 (B.E),2011 年獲得應用電子碩士學位 (M.E),並於 2021 年獲得博士學位 (Ph.D)。他擁有 16 年的教學經驗和 13 年的研究經驗。他的研究興趣包括電力系統優化、電力品質和電力系統穩定性分析。他在知名期刊上發表了超過 20 篇研究文章,作為書籍章節和會議論文發表。他的 h-index 為 11,i10-index 也為 11,引用次數超過 350 次。

**Sourav Samanta** 目前擔任印度西孟加拉邦布爾萬大學大學技術學院計算機科學與工程系的助理教授。在加入大學技術學院之前,他曾在西孟加拉邦布爾萬的 Gobindpur Sephali Memorial Polytechnic 擔任講師。他在印度信息技術學院 Kalyani 完成了有關智能農業的計算機視覺應用的博士學位。他在 JIS 工程學院獲得計算機科學與工程的碩士學位 (M. Tech),並在布爾萬大學技術學院獲得信息技術的學士學位 (B.E)。他擁有約十二年的學術經驗,並完成了 MAKAUT 的知識產權與技術商業管理證書課程。

他與來自五個不同國家的研究人員合作。他的研究領域包括自然啟發計算、量子機器學習、農業中的計算機視覺和信息安全。他已發表 75 篇研究論文,包括在知名期刊、會議論文集和由 IEEE、Springer、Elsevier 等出版的書籍章節。根據 Google Scholar,他的引用次數為 2109,h-index 為 24。他是 IEEE、ACM 和其他專業組織的成員。他是由 Lambert Academic Publishing 出版的《Optimization of Watermarking in Biomedical Signal》一書的共同作者,並且是由 Springer 出版的兩本書《Design Frameworks for Wireless Networks》和《Architectural Wireless Networks Solutions and Security Issues》的共同編輯,這些書籍屬於 Lecture Notes in Networks and Systems 系列。

**Anand Baskar** 於 2001 年在印度提魯內利的政府工程學院獲得電氣與電子工程學士學位 (B.E),於 2002 年在安納馬萊大學獲得電力系統工程碩士學位 (M.E),並於 2011 年在喬治亞安娜大學獲得電氣工程博士學位 (Ph.D)。自 2003 年以來,他一直與印度泰米爾納德邦的 Hindusthan 工程與技術學院合作。目前,他擔任該機構電子與儀器工程系的教授及系主任。他是該機構主辦的年度 IEEE - 國際可持續計算與智能系統會議 (ICSCSS) 的主席。他獲得了來自印度政府 Anusandhan National Research Foundation (ANRF) 的一項與太陽能相關的研究項目資助,作為持續的研究工作。他的研究興趣包括電力系統的運行、控制、優化及人工智慧在電力系統問題中的應用。他在國內/國際期刊和會議上發表了超過 140 篇論文。他是 IEEE、SSI、ISTE 的活躍成員,並且是 IE(I) 的院士。

**Kanendra Naidu** 是馬來西亞馬來亞科技大學 (UiTM) 電氣工程系的高級講師。他擁有馬來亞大學的電氣工程碩士學位 (M.Eng.Sc.) 和博士學位 (Ph.D.)。他的研究專注於電力系統中的人工智慧應用,包括負載頻率控制、能源管理系統、虛擬電廠和電動車整合等領域。他在《International Journal of Electrical Power & Energy Systems》、《IET Generation, Transmission & Distribution》和《IEEE Access》等知名期刊上發表了超過 60 篇論文,引用次數超過 2,602 次,h-index 為 22。他主導並參與了多個研究項目,特別是虛擬電廠 (VPP) 的頻率控制輔助服務開發、整合光伏基站的電動車 (EV) 充電模式建模,以及多能源船舶微電網的項目。除了學術界,他還就電動車電池回收、電動車充電基礎設施排程和能源儲存系統等相關倡議提供諮詢。在專業上,他是英國 IET 的特許工程師、IEEE 的高級會員,以及馬來西亞工程師委員會 (BEM) 和馬來西亞技術專家委員會 (MBOT) 的活躍成員。