Renewable Energy Integration with Electric Vehicle Technology
暫譯: 可再生能源與電動車技術的整合

Salkuti, Surender Reddy, Ray, Papia

Renewable Energy Integration with Electric Vehicle Technology
  • 出版商: Springer
  • 出版日期: 2026-07-08
  • 售價: $9,170
  • 貴賓價: 9.5 折 $8,711
  • 語言: 英文
  • 頁數: 706
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 9819587727
  • ISBN-13: 9789819587728
  • 相關分類: 穿戴式裝置 Wearable

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商品描述

This book presents different aspects of renewable energy-based electric vehicle (EV) integration into the grid system. In this book, different challenges during the integration of EVs to the grid are discussed. Further, by enabling EVs to act as distributed energy storage units in a grid system, how to improve grid stability and reduce the risk of outages by providing critical support to the grid during peak demand periods and periods of renewable energy intermittency are also discussed. This book emphasizes various schemes for data privacy and cybersecurity during the integration of EVs into the grid. It also discussed how plug-in hybrid electric vehicles (PHEVs) can help reduce energy demand during peak hours and earn revenue for owners. This book presents the application of artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) in the seamless integration of renewable energy-based EVs into the grid. This book leads toward cost-effective and environmentally benign utilization of a future energy system portfolio by providing a cyber-enabled sustainable pathway toward deep integration of intelligent decision-makers in the renewable energy-based EV into the grid system. This book is an effort to educate the next generation of academicians, researchers, and industry personnel with proficient analytics and improve national energy sustainability.

商品描述(中文翻譯)

本書介紹了基於可再生能源的電動車（EV）整合進入電網系統的不同面向。本書討論了在將電動車整合到電網過程中所面臨的各種挑戰。此外，通過使電動車能夠作為電網系統中的分散式儲能單元，如何在高峰需求期間和可再生能源間歇期間提供關鍵支持以改善電網穩定性並降低停電風險也得到了探討。本書強調了在電動車整合進入電網過程中各種數據隱私和網絡安全方案。它還討論了插電式混合電動車（PHEVs）如何在高峰時段幫助減少能源需求並為車主創造收入。本書展示了人工智慧（AI）、機器學習（ML）和物聯網（IoT）在基於可再生能源的電動車無縫整合進入電網中的應用。本書旨在通過提供一條網絡驅動的可持續途徑，朝向未來能源系統組合的成本效益和環境友好利用，促進基於可再生能源的電動車與電網系統的深度整合。本書是為了教育下一代學者、研究人員和行業人員，提升其分析能力並改善國家的能源可持續性。

作者簡介

Surender Reddy Salkuti has been working with Woosong University, Daejeon, Republic of Korea, as an associate professor in the Department of Global Railways since April 2014. He received a Ph.D. degree in Electrical Engineering from the Indian Institute of Technology Delhi (IITD), New Delhi, India, in 2013. He was a postdoctoral researcher at Howard University, Washington, DC, USA, from 2013 to 2014. His research interests include power system restructuring issues, smart grid development with the integration of wind and solar photovoltaic energy sources, battery storage, electric vehicles, demand response, power system analysis and optimization, artificial intelligence and soft computing techniques application in power systems, and renewable energy. He has published four edited volumes with Springer (LNEE and GREEN) and over 300 research articles in peer-reviewed international journals and conference proceedings. He served as a guest editor for various international journals.


Papia Ray received her Bachelor of Engineering (Electrical Engineering) degree from Government Engineering College, Bihar, Master of Technology (Power Systems) from National Institute of Technology, Jamshedpur, and Ph.D. degree from Indian Institute of Technology, Delhi in 2013. She has more than 23 years of teaching experience. She has more than 100 research publications in journals like IET, Elsevier, Wiley, etc. She is a senior member of IEEE, a fellow of the Institution of Engineers, and a life member of ISTE. Her research interest includes power system protection, wide area measurement systems, power quality, renewable energy, forecasting, and biomedical engineering, etc. She is presently serving as a professor in the Electrical Engineering Department of NITTTR Kolkata. She has guided 5 Ph.D.s as sole supervisor and completed one research project sponsored by DST, New Delhi.

作者簡介(中文翻譯)

Surender Reddy Salkuti 自2014年4月以來在韓國大田的烏松大學擔任全球鐵路系的副教授。他於2013年在印度德里印度理工學院（IITD）獲得電機工程博士學位。他於2013年至2014年在美國華盛頓特區的霍華德大學擔任博士後研究員。他的研究興趣包括電力系統重組問題、智慧電網的發展（整合風能和太陽能光伏能源）、電池儲存、電動車、需求響應、電力系統分析與優化、人工智慧及軟計算技術在電力系統中的應用，以及可再生能源。他已與Springer出版了四本編輯書籍（LNEE和GREEN），並在國際同行評審的期刊和會議論文集中發表了超過300篇研究文章。他曾擔任多本國際期刊的客座編輯。

Papia Ray 獲得比哈爾政府工程學院的電機工程學士學位，並在詹姆斯赫德國立技術學院獲得電力系統碩士學位，於2013年在德里印度理工學院獲得博士學位。她擁有超過23年的教學經驗。她在IET、Elsevier、Wiley等期刊上發表了超過100篇研究論文。她是IEEE的資深會員、工程師學會的院士，以及ISTE的終身會員。她的研究興趣包括電力系統保護、廣域測量系統、電力品質、可再生能源、預測和生物醫學工程等。她目前在NITTTR Kolkata的電機工程系擔任教授，並作為唯一指導教師指導了5位博士生，完成了一個由新德里DST贊助的研究項目。

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