Haiwang Zhong, Yanhong Liu, Zekuan Yu, 等. Efficient Optimization for Operation of Power Systems with High Proportion of Renewable Energy: A Review[J]. 中国电机工程学会电力与能源系统学报(英文), 2025,11(6):2794-2809.
Haiwang Zhong, Yanhong Liu, Zekuan Yu, et al. Efficient Optimization for Operation of Power Systems with High Proportion of Renewable Energy: A Review[J]. CSEE Journal of Power and Energy Systems, 2025, 11(6): 2794-2809.
Haiwang Zhong, Yanhong Liu, Zekuan Yu, 等. Efficient Optimization for Operation of Power Systems with High Proportion of Renewable Energy: A Review[J]. 中国电机工程学会电力与能源系统学报(英文), 2025,11(6):2794-2809.DOI: 10.17775/CSEEJPES.2025.03200.
Haiwang Zhong, Yanhong Liu, Zekuan Yu, et al. Efficient Optimization for Operation of Power Systems with High Proportion of Renewable Energy: A Review[J]. CSEE Journal of Power and Energy Systems, 2025, 11(6): 2794-2809.DOI: 10.17775/CSEEJPES.2025.03200.
Efficient Optimization for Operation of Power Systems with High Proportion of Renewable Energy: A Review
摘要
Abstract
With the increasing proportion of renewable energy
power system dispatch and electricity market clearing face significant engineering challenges
including growing model complexity
heightened precision requirements for solutions
and constrained computational time. These developments necessitate advancements in extra-high-speed approximate solution methods
techniques for solving strongly coupled problems
and large-scale power system optimization techniques. This paper provides a comprehensive review of existing efficient optimization methodologies tailored to power systems with high proportion of renewable energy
analyzing their applicability to emerging challenges while outlining future research directions to address these complex operational problems.
关键词
Keywords
references
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相关作者
Tianjiao Pu
Jiaxin Cao
Xinying Wang
Dongxia Zhang
Meiyi Li
Javad Mohammadi
Mahmood Hosseini Imani
Ettore Bompard
相关机构
China Electric Power Research Institute
Department of Civil, Architectural, and Environmental Engineering, The University of Texas at Austin
Dipartimento Energia, Politecnico di Torino
Department of Electrical Engineering, Northeast Electric Power University
Key Laboratory of Smart Grid of Ministry of Education, Key Laboratory of Smart Energy & Information Technology of Tianjin Municipality, Tianjin University