Stability-Constrained Optimization for Modern Power System Operation and Planning
Xu, Yan, Chi, Yuan, Yuan, Heling
- 出版商: Wiley
- 出版日期: 2023-06-27
- 售價: $4,610
- 貴賓價: 9.5 折 $4,380
- 語言: 英文
- 頁數: 496
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1119848865
- ISBN-13: 9781119848868
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Comprehensive treatment of an aspect of stability constrained operations and planning, including the latest research and engineering practices
Stability-Constrained Optimization for Modern Power System Operation and Planning focuses on the subject of power system stability, addressing a common gap in knowledge by presenting a series of stability-constrained optimization methodologies for power system operation and planning with the aim of power system stability enhancement. Unlike other resources, which focus mainly on the dynamic modeling, stability analysis, and controller design of power systems, this book is instead dedicated to operational and planning methods for power system stability enhancement, including power system stability preliminaries, stability-constrained operational dispatch, and stability-constrained network reinforcement planning.
Authored by experts with established track records in both research and industry, Stability-Constrained Optimization for Modern Power System Operation and Planning covers sample topics such as:
- The definition, classification, and phenomenon of power system stability, recent large-scale blackouts in the world, and mathematical models and analysis tools for power system stability assessment
- Transient stability-constrained optimal power flow (TSC-OPF), hybrid solution methods for TSC-OPF, data-driven solution methods for TSC-OPF, and transient stability constrained-unit commitment (TSC-UC)
- TSC-OPF under wind power uncertainties, trajectory sensitivity-based preventive dispatch, preventive-corrective coordinated TSC-OPF, and optimal event-based load shedding
- Voltage stability indies, dynamic VAR resources (STATCOM and SVC), candidate bus selection for dynamic VAR allocation, and multi-objective dynamic VAR planning
Stability-Constrained Optimization for Modern Power System Operation and Planning provides the latest research findings to scholars, researchers, and postgraduate students who are seeking optimization model formulations and solution methodologies for stability enhancement. It also provides key practical operational dispatch and network reinforcement planning methods to power system operators, planners, and decision-makers in the power utilities and related industries.
作者簡介
Yan Xu obtained B.E. and M.E. degrees from South China University of Technology, China, and the Ph.D. from University of Newcastle, Australia, in 2008, 2011, and 2013, respectively. He conducted postdoctoral research with the University of Sydney Postdoctoral Fellowship, and then joined Nanyang Technological University (NTU) with the Nanyang Assistant Professorship. He is now an Associate Professor at the School of Electrical and Electronic Engineering, and a Cluster Director at the Energy Research Institute, Nanyang Technological University, Singapore (ERI@N). His research interests include power system stability, microgrid, and data analytics for smart grid applications. He is an Editor for IEEE Trans. Smart Grid and IEEE Trans. Power Systems.
Yuan Chi received B.E. degree from Southeast University, Nanjing, China, in 2009, and the M.E. degree from Chongqing University, Chongqing, China, in 2012, and the Ph.D. degree from Nanyang Technological University, Singapore, in 2021. From 2012 to 2017, he worked as an Electrical Engineer of Power System Planning consecutively with State Grid Chongqing Electric Power Research Institute and Chongqing Economic and Technological Research Institute. He is currently a Research Associate with Chongqing University. His research interests include planning, resilience, and voltage stability of power systems.
Heling Yuan received B.E., M.Sc., and Ph.D. degrees from North China Electric Power University, Beijing, China, and the University of Manchester, and Nanyang Technological University (NTU), Singapore, in 2016, 2017, and 2022, respectively. She is currently a Research Fellow at Rolls-Royce @ NTU Corporate Lab, Singapore. Her research interests include modeling, optimization, stability analysis and control of power systems.