Next-Generation Artificial Intelligence Driven Smart and Renewable Energy
暫譯: 下一代人工智慧驅動的智慧與可再生能源
Roy, Provas Kumar, Hazra, Sunanda, Paul, Chandan
相關主題
商品描述
To provide for a sustainable future, the potential synergies at the dynamic intersection of renewable energy (RE) incorporated with smart energy and artificial intelligence (AI) must be exploited. RE is crucial to preserve the environment. Energy involving various systems must be optimized and assessed to provide better performance. However, the design and development of RE systems remains a challenge. Advanced optimization techniques, AI, and machine learning (ML) plays a crucial role in implementing the latest innovative research in the field of renewable energy-integrated electrical systems. This book also describes the practical challenges encountered, and the solutions and future scope to be adopted. Applications of a variety of advanced optimization and AI techniques in the design and development of RE-integrated systems are discussed to provide new solutions in the RE domain.
Key features:
- Discusses modern modeling/control approaches for improving renewable energy integrating artificial intelligence-driven power systems.
- Describes the principles and methods of renewable energy generation technologies, and an analysis of their implementation, management, and optimization, and related economic advantages.
- Presents critical information on the technological design and policy issues that must be taken into considered while implementing a smart grid.
- Explains of the metaheuristic optimization algorithm for complex electrical systems, and the whale optimization algorithm-based multi-objective hydrothermal scheduling.
- Covers the electric vehicle charging station in the distribution network, and transient stability constraint optimal power flow problem using chaotic quasi-oppositional chemical reaction optimization.
The topics covered including microgrids, wind power, solar photo voltaic (PV), optimal power flow (OPF), grid connected inverter, electric vehicle, combined heat and power economic dispatch, FACTS tools for smart energy, harmonic impedance of a salient pole synchronous generator (HI), maximum power point tracking (MPPT) and advanced optimization techniques. Next Generation Artificial Intelligence-Driven Smart and Renewable Energy is ideal for academicians, practitioners, teachers, engineers, industry professionals, researchers, and students in diverse fields, including electrical engineering, electronics and communications engineering, energy, and environmental engineering.
商品描述(中文翻譯)
為了提供可持續的未來，必須利用可再生能源（RE）與智慧能源和人工智慧（AI）之間動態交匯的潛在協同效應。可再生能源對於保護環境至關重要。涉及各種系統的能源必須進行優化和評估，以提供更好的性能。然而，可再生能源系統的設計和開發仍然是一項挑戰。先進的優化技術、人工智慧和機器學習（ML）在實施可再生能源整合電力系統領域的最新創新研究中扮演著關鍵角色。本書還描述了所遇到的實際挑戰，以及需要採取的解決方案和未來的範疇。討論了各種先進優化和人工智慧技術在可再生能源整合系統設計和開發中的應用，以提供可再生能源領域的新解決方案。
主要特點：
- 討論了改善可再生能源整合人工智慧驅動電力系統的現代建模/控制方法。
- 描述了可再生能源發電技術的原則和方法，以及其實施、管理和優化的分析及相關經濟優勢。
- 提供了在實施智慧電網時必須考慮的技術設計和政策問題的關鍵資訊。
- 解釋了複雜電力系統的元啟發式優化算法，以及基於鯨魚優化算法的多目標水熱調度。
- 涵蓋了配電網中的電動車充電站，以及使用混沌準對立化學反應優化的瞬態穩定約束最佳潮流問題。
所涵蓋的主題包括微電網、風能、太陽能光伏（PV）、最佳潮流（OPF）、並網逆變器、電動車、聯合熱電經濟調度、智慧能源的FACTS工具、顯著極同步發電機的諧波阻抗（HI）、最大功率點追蹤（MPPT）和先進的優化技術。《下一代人工智慧驅動的智慧與可再生能源》非常適合學者、實務工作者、教師、工程師、行業專業人士、研究人員和來自不同領域的學生，包括電機工程、電子與通信工程、能源和環境工程。
作者簡介
Provas Kumar Roy received the BE degree in Electrical Engineering from R.E. College, Durgapur, Burdwan, India in 1997; ME degree in Electrical Machine from Jadavpur University, Kolkata, India in 2001 and Ph.D. from NIT Durgapur in 2011. Presently he is working as Professor at the department of Electrical Engineering, Kalyani Government Engineering College, Kalyani, India. He has published more than 140 research papers in international journals, 65 conferences paper, 15 book chapters and Scopus citation is nearly 4700 with H-index of 40. His field of research interest includes Economic Load Dispatch, Optimal Power flow, FACTS, Unit Commitment, Radial Distribution System, State Estimation, Automatic Generation Control, Power System Stabilizer and Evolutionary computing techniques. He has supervised 12 Ph.D. scholars in the domain of the power system analysis with high penetration of renewable energy, image processing. He has been placed among "World Ranking of top 2% Scientists" for last three consecutive years in the field of Energy by Stanford University scientists. He has been awarded many times with outstanding reviewer awards, top scientist awards, top peer reviewer awards, best paper awards. He has also contributed as committee member of several national and international conferences. He is a member of the Institute of Engineers and Indian Society of Technical Education (ISTE). He is a regular reviewer of leading journals including Elsevier, IET and IEEE Transactions/journals.
Sunanda Hazra received the Ph.D. degree in Electrical Engineering. He is presently associated with Electrical Engineering Department of Haldia Institute of Technology, Haldia, W.B, India. He has ten years of teaching experience. He has published around 20 research papers in International Journals and conference records. His research interest includes load dispatch, hydrothermal scheduling, renewable energy, optimization techniques, etc. He has been awarded with Young Scientist from VD Good Technology Factory in 2021. He has reviewed few research works submitted to National/International Journals. He has attended & organized several short-term courses/faculty development programmes. He is a member of IEI.
Chandan Paul received B. Tech degree in Electrical Engineering from Dr. B. C. Roy Engineering College, Durgapur (under West Bengal University of Technology), India, in 2006 and an M. Tech degree from National Institute of Technology, Durgapur, West Bengal, India in Electrical Engineering (specialisation of Electrical System) in 2012. He obtained PhD in Electrical Engineering from IIT (ISM) Dhanbad in 2022. He has eight Journals published in reputed SCI and Scopus indexed Journals. His area of research includes hydro-thermal scheduling, optimal power flow, combined heat and power dispatch and evolutionary algorithms. He has three international journals. He is working as an Assistant Professor in the Department of Electrical Engineering, Dr. B.C. Roy Engineering College, Durgapur, India
作者簡介(中文翻譯)
Provas Kumar Roy於1997年獲得印度布爾德萬杜爾加普爾R.E. College的電機工程學士學位；2001年獲得印度加爾各答賈達夫普大學的電機機械碩士學位，並於2011年獲得杜爾加普爾國立技術學院的博士學位。目前，他在印度卡利亞尼政府工程學院的電機工程系擔任教授。他在國際期刊上發表了超過140篇研究論文，65篇會議論文，15章書籍章節，Scopus引用次數接近4700，H指數為40。他的研究興趣包括經濟負載調度、最佳潮流、FACTS、單元承諾、放射配電系統、狀態估計、自動發電控制、電力系統穩定器和進化計算技術。他指導了12位在高滲透可再生能源和影像處理領域的博士生。他在過去三年中被斯坦福大學科學家評選為「全球前2%科學家」之一，專注於能源領域。他多次獲得優秀審稿人獎、頂尖科學家獎、最佳同行評審獎和最佳論文獎。他還擔任過多個國內外會議的委員會成員。他是工程師學會和印度技術教育學會（ISTE）的成員。他是包括Elsevier、IET和IEEE Transactions/期刊在內的多本領先期刊的定期審稿人。
Sunanda Hazra獲得電機工程博士學位。目前，他與印度西孟加拉邦哈爾迪亞技術學院的電機工程系有關聯。他擁有十年的教學經驗。他在國際期刊和會議記錄上發表了約20篇研究論文。他的研究興趣包括負載調度、水熱調度、可再生能源、優化技術等。他於2021年獲得VD Good Technology Factory的青年科學家獎。他審閱過幾篇提交至國內/國際期刊的研究作品。他參加並組織了多個短期課程/教師發展計劃。他是IEI的成員。
Chandan Paul於2006年獲得印度杜爾加普爾Dr. B.C. Roy工程學院的電機工程學士學位（隸屬於西孟加拉技術大學），並於2012年獲得印度西孟加拉杜爾加普爾國立技術學院的電機工程碩士學位（電力系統專業）。他於2022年在印度礦業技術學院（IIT (ISM) Dhanbad）獲得電機工程博士學位。他在知名的SCI和Scopus索引期刊上發表了八篇論文。他的研究領域包括水熱調度、最佳潮流、聯合熱電調度和進化算法。他有三篇國際期刊論文。目前，他在印度杜爾加普爾Dr. B.C. Roy工程學院的電機工程系擔任助理教授。
