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A01=Jiajia Chen
A01=Yuanzheng Li
Age Group_Uncategorized
Age Group_Uncategorized
Author_Jiajia Chen
Author_Yuanzheng Li
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Category1=Non-Fiction
Category=KJT
Category=THRD
COP=Singapore
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€100 and above
PS=Forthcoming
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Renewable Power System Optimization

English

By (author): Jiajia Chen Yuanzheng Li

This book investigates in detail renewable power system optimization (RPSO) technology, exploring its potential us to accommodate intermittent, random, and fluctuating renewable energy from the aspects of power supply side, power grid side, demand side and energy storage. RPSO delves into the interdisciplinary field of sustainable energy systems, offering a comprehensive exploration of methodologies and strategies to maximize the efficiency, reliability, and resilience of renewable power systems. Studies on RPSO have attracted engineers and scientists from various disciplines, such as electrical, computer, transportation, control and management science. The book integrates theoretical frameworks, computational techniques, and practical case studies, which caters to a diverse readers including researchers, engineers, policymakers, and graduate students specializing in renewable energy, electrical engineering, environmental science, and related disciplines. It is particularly beneficial for those seeking to enhance the efficiency, reliability, and resilience of renewable power systems in the face of evolving energy transition challenges.

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Current price €137.69
Original price €152.99
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A01=Jiajia ChenA01=Yuanzheng LiAge Group_UncategorizedAuthor_Jiajia ChenAuthor_Yuanzheng Liautomatic-updateCategory1=Non-FictionCategory=KJTCategory=THRDCOP=SingaporeDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 11 Dec 2024

Product Details
  • Dimensions: 155 x 235mm
  • Publication Date: 11 Dec 2024
  • Publisher: Springer Verlag Singapore
  • Publication City/Country: Singapore
  • Language: English
  • ISBN13: 9789819781317

About Jiajia ChenYuanzheng Li

Dr. Jiajia Chen received his B.E. degree in Mathematics and Applied Mathematics from Linyi University Linyi China in 2010 and the Ph.D. degree in Electrical Engineering from South China University of Technology Guangzhou in 2015. Since Jan. 2016 Dr. Chen has been in School of Electrical and Electronic Engineering Shandong University of Technology as an Associate Professor. Dr. Chen focuses on the research of renewable power system operation and control. His recent research interests include key technologies and applications of energy storage flexibility and resilience enhancement of smart grid demand side management and power pricing operation and control of agricultural network etc. Since 2024 Dr. Chen has published 50 peer-reviewed technical papers in international journals and conferences. He is a member of IEEE Deputy Secretary-General of Shandong Electrical Technology Society and the Young Editorial Board of 'Electric Power Construction' Journal and served as a reviewer of several international journals. He was One Best Paper Awards at the IEEE 6th International Conference on Energy Electrical and Power Engineering in 2023.   Dr. Yuanzheng Li received the M.S. degree in electrical engineering from the Huazhong University of Science and Technology Wuhan China in 2011 and the Ph.D. degree in Electrical Engineering from the South China University of Technology Guangzhou China in 2015. Since Sep. 2015 Dr. Li has been in School of Artificial Intelligence and Automation Huazhong University of Science and Technology as an Associate Professor. Dr. Li focuses on deep learning reinforcement learning smart grid operations optimal power system/microgrid scheduling and decision-making stochastic optimization considering large-scale integration of renewable energy into the power system and multiobjective optimization. Since 2024 Dr. Li has published more than 100 peer-reviewed technical papers in international journals and conferences. He is a Senior Member of IEEE.

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