LEADER 04506nam 22006015 450 001 9910842497403321 005 20250807143314.0 010 $a981-9703-12-3 024 7 $a10.1007/978-981-97-0312-8 035 $a(MiAaPQ)EBC31202422 035 $a(Au-PeEL)EBL31202422 035 $a(DE-He213)978-981-97-0312-8 035 $a(CKB)30787992500041 035 $a(EXLCZ)9930787992500041 100 $a20240306d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFlexible Load Control for Enhancing Renewable Power System Operation /$fby Yuanzheng Li, Yang Li, Zhigang Zeng 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (288 pages) 225 1 $aPower Systems,$x1860-4676 311 08$a981-9703-11-5 320 $aIncludes bibliographical references. 327 $aChapter 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. 330 $aThis book addresses the pressing challenges faced by renewable power system operation (RPSO) due to the increasing penetration of renewable energy and flexible load. These challenges can be divided into two categories. Firstly, the inherent uncertainties associated with renewable energy sources pose significant difficulties in RPSO. Secondly, the presence of various types of flexible load, along with their complex constraint relationships, adds to the operational complexities. Recognizing the growing emphasis on the economic and low-carbon aspects of RPSO, this book focuses on the key issues of flexible load control. It mainly consists of following categories: (1) The control of data centers, a booming flexible load, to enhance RPSO through renewable energy integration and advanced robust multi-objective optimization. (2) The introduction of flexible industrial load control, employing effective demand-supply cooperative responding strategies for RPSO. (3) The exploration of electric vehicle flexible charging load control and centralized electric vehicle charging system control in the context of RPSO. The book also covers the emerging field of flexible integrated load control for renewable energy-based comprehensive energy system operation. Aimed at researchers, engineers, and graduate students in electrical engineering and computer science, this book provides a valuable resource for understanding and implementing flexible load control in the context of RPSO. 410 0$aPower Systems,$x1860-4676 606 $aElectric power distribution 606 $aAutomatic control 606 $aArtificial intelligence 606 $aEnergy Grids and Networks 606 $aControl and Systems Theory 606 $aArtificial Intelligence 615 0$aElectric power distribution. 615 0$aAutomatic control. 615 0$aArtificial intelligence. 615 14$aEnergy Grids and Networks. 615 24$aControl and Systems Theory. 615 24$aArtificial Intelligence. 676 $a621.31 700 $aLi$b Yuanzheng$01370159 702 $aLi$b Yang 702 $aTseng$b Tommaso 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910842497403321 996 $aFlexible Load Control for Enhancing Renewable Power System Operation$94271773 997 $aUNINA