Renewable Power System Optimization

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,

Éditeur :

Springer

Paru le : 2025-07-03

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 interd...
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Éditeur

Collection
n.c

Parution
2025-07-03

Pages
209 pages

EAN papier
9789819781317

Auteur(s) du livre


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.

Caractéristiques détaillées - droits

EAN PDF
9789819781324
Prix
158,99 €
Nombre pages copiables
2
Nombre pages imprimables
20
Taille du fichier
7782 Ko
EAN EPUB
9789819781324
Prix
158,99 €
Nombre pages copiables
2
Nombre pages imprimables
20
Taille du fichier
27771 Ko

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