04835nam a22005655i 4500 978-981-97-0312-8 DE-He213 20251030111503.0 cr nn 008mamaa 240306s2024 si | s |||| 0|eng d 9789819703128 978-981-97-0312-8 10.1007/978-981-97-0312-8 doi TK3001-3521 THRD bicssc TEC031020 bisacsh THY thema Li, Yuanzheng. author. (orcid)0000-0001-8052-1233 https://orcid.org/0000-0001-8052-1233 aut http://id.loc.gov/vocabulary/relators/aut 72516 Flexible Load Control for Enhancing Renewable Power System Operation [electronic resource] / by Yuanzheng Li, Yang Li, Zhigang Zeng. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XIX, 274 p. 109 illus., 106 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Power Systems, 1860-4676 Chapter 1. Overview of flexible load control -- Chapter 2. Data center flexible load control for renewable energy integration -- Chapter 3. Data center load control based microgrid operation via robust multi-objective optimization -- Chapter 4. Collaborative control of data center and hydrogen storage system for renewable energy absorption -- Chapter 5. Flexible industrial load control for renewable power system operation -- Chapter 6. A demand-supply cooperative responding control of industrial load and renewable power system -- Chapter 7. Electric vehicle flexible charging load control for renewable power system operation -- Chapter 8. Battery swapping control for centralized electric vehicle charging system with photovoltaic -- Chapter 9. Coordinated Operation Between Electric Vehicle Charging Stations and Distribution Power Network Considering Energy and Reserve -- Chapter 10. Flexible integrated load control based comprehensive energy system operation -- Chapter 11. Data-driven distributionally robust scheduling of community comprehensive energy systems considering integrated load control -- Chapter 12. Concluding remarks. This book addresses the pressing challenges faced by renewable power system operation (RPSO) due to the increasing penetration of renewable energy and flexible load. These challenges can be divided into two categories. Firstly, the inherent uncertainties associated with renewable energy sources pose significant difficulties in RPSO. Secondly, the presence of various types of flexible load, along with their complex constraint relationships, adds to the operational complexities. Recognizing the growing emphasis on the economic and low-carbon aspects of RPSO, this book focuses on the key issues of flexible load control. It mainly consists of following categories: (1) The control of data centers, a booming flexible load, to enhance RPSO through renewable energy integration and advanced robust multi-objective optimization. (2) The introduction of flexible industrial load control, employing effective demand-supply cooperative responding strategies for RPSO. (3) The exploration of electric vehicle flexible charging load control and centralized electric vehicle charging system control in the context of RPSO. The book also covers the emerging field of flexible integrated load control for renewable energy-based comprehensive energy system operation. Aimed at researchers, engineers, and graduate students in electrical engineering and computer science, this book provides a valuable resource for understanding and implementing flexible load control in the context of RPSO. Electric power distribution. 66068 Control engineering. Artificial intelligence. 58441 Energy Grids and Networks. 66069 Control and Systems Theory. 65868 Artificial Intelligence. 58441 Li, Yang. author. aut http://id.loc.gov/vocabulary/relators/aut 72517 Zeng, Zhigang. author. aut http://id.loc.gov/vocabulary/relators/aut 72518 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819703111 Printed edition: 9789819703135 Printed edition: 9789819703142 Power Systems, 1860-4676 13832 https://doi.org/10.1007/978-981-97-0312-8 ZDB-2-ENE ZDB-2-SXEN 58137 58137