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Advances in Transient Stability-constrained Optimal Power Flow of Power Systems
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作者 Hang Zhang Yan Xu Zhao Yang Dong 《CSEE Journal of Power and Energy Systems》 2025年第6期2776-2793,共18页
Transient stability-constrained optimal power flow(TSCOPF)optimizes power flow while ensuring stability againstpotential contingencies.The main challenges faced by TSCOPFare the handling of transient constraints.The d... Transient stability-constrained optimal power flow(TSCOPF)optimizes power flow while ensuring stability againstpotential contingencies.The main challenges faced by TSCOPFare the handling of transient constraints.The differential equations of the dynamic process and the inherent nonlinearityof power systems make modeling and solving them difficult.Currently,four methods are employed in TSCOPF:discretizationmethods,sequential methods,heuristic methods,and machinelearning methods.The paper summarizes the latest literaturereview of these methods,including transient stability criteria,handling of stability constraints,computation flowcharts,advantages,and limitations.Moreover,as power systems rapidlyadvance,the discussion focuses on how they adapt to newelements and challenges.In conclusion,the existing research gapand future directions are presented. 展开更多
关键词 Discretization method heuristic method machine learning method sequential method transient stability control TSCOPF
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