Flexible Distribution Networks - Brossura

Li, Peng; Ji, Haoran; Yu, Hao; Wang, Chengshan

Brossura

ISBN 10: 0128238909 ISBN 13: 9780128238905

Casa editrice: Elsevier Science Ltd, 2023

Riassunto

Flexible Distribution Networks facilitates the enhanced flexibility, efficiency and reliability of distribution networks under complex operating environments delivered by high DG penetration. Considering the high share of DG and flexibility improvement brought by SOP-type power electronic devices, the work aims to solve the issues of optimal operation of flexible distribution networks. Technical solutions for flexible operation problems of FDN are discussed in depth, including efficient analytical methods with high penetration of DG, SOP-based optimal operation methods with uncertainty, and high-performance convex optimization algorithms.

Readers will develop sound knowledge and gain insights into the optimal operation of FDN with high penetration of DG.

Su questo libro

Informazioni sugli autori

Dr. Peng Li is currently a professor at the School of Electrical and Information Engineering, Tianjin University, China. As a principal investigator (PI), he has led many national science and technology programs in China, including the National Key R&D Program subproject and Key Program of the National Natural Science Foundation of China. He is the deputy editor-in-chief for Automation of Electric Power Systems; an associate editor of IEEE Transactions on Sustainable Energy, Sustainable Energy Technologies and Assessments, and CSEE Journal of Power and Energy Systems; and an editorial board member of Proceedings of the CSEE, Advances in Applied Energy.

Dr. Haoran Ji received his Ph.D. degree from the School of Electrical and Information Engineering, Tianjin University, China. He is currently a professor at the School of Electrical and Information Engineering, Tianjin University, China. His research interests include distributed generation systems and optimal operation of distribution networks. He is a member of the editorial board member for Protection and Control of Modern Power Systems (PCMP) and a member of the CIGRE National Committee's C1 Subcommittee.

Dr. Hao Yu is currently an associate professor at the School of Electrical and Information Engineering, Tianjin University, China. His main research interests include the modelling, analysis, and operation optimization of active distribution networks and integrated energy systems. He has contributed to numerous academic papers in related areas. He is an assistant editor of Sustainable Energy Technologies and Assessments and IET Energy Systems Integration, a young editorial member of Applied Energy, and a member of the Young Expert Group of the Journals Center of China Electric Research Institute.

Dr. Chengshan Wang is currently a professor at the School of Electrical and Information Engineering, Tianjin University, China. He is a member of Chinese Academy of Engineering. His main research interests include the operation and planning of distribution networks and sustainable power systems. He was the PI of the Chinese National Basic Research Program (973) “Research on the Key Issues of Distributed Generation Systems”. He is the editor-in-Chief of IET Energy Systems Integration.

Dalla quarta di copertina

Flexible Distribution Networks facilitates the enhanced flexibility, efficiency and reliability of distribution networks under complex operating environments delivered by high DG penetration. Considering the high share of DG and flexibility improvement brought by SOP-type power electronic devices, the work aims to solve the issues of optimal operation of flexible distribution networks. Technical solutions for flexible operation problems of FDN are discussed in depth, including efficient analytical methods with high penetration of DG, SOP-based optimal operation methods with uncertainty, and high-performance convex optimization algorithms. Readers will develop sound knowledge and gain insights into the optimal operation of FDN with high penetration of DG.

Dettagli dell'edizione

• Editore: Elsevier Science Ltd
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 0128238909
• ISBN 13: 9780128238905
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 316
• Contatto del produttore: non disponibile
• Persona responsabile: LSWR Group; b.criscuolo@lswr.it; ; Via Spadolini, 7; Milano; Italia