电力系统自动化2025，Vol.49Issue(14)：109-119,11.DOI:10.7500/AEPS20240921003
计及温控负荷时变特性的电力负荷恢复分布鲁棒随机优化
Distributionally Robust Stochastic Optimization for Power System Load Restoration Considering Time-varying Characteristics of Thermostatically Controlled Loads
摘要
Abstract
After a large-scale blackout in power system,a reasonable and effective load restoration strategy can reduce economic losses and mitigate negative social impacts.However,the characteristics of thermostatically controlled loads and the source/load uncertainties can influence the effect of the decision.To this end,a distributionally robust stochastic optimization method considering time-varying characteristics of thermostatically controlled loads is proposed.First,a linearized modeling approach for the time-varying characteristics of thermostatically controlled loads and a correction method for the load restoration value are proposed based on the reverse thinking method.Then,the Wasserstein distance and conditional value at risk(CVAR)theory are used respectively to construct the source/load uncertainty models during the load restoration process,and the distributionally robust stochastic optimization theory is applied to quantify the cost of recovery security risks caused by the source/load uncertainties.Furthermore,following the practical engineering requirement of"grading,batching,and gradual restoration",a multi-objective distributionally robust stochastic optimization model for power system load restoration is constructed,which undergoes non-dimensional processing based on the analytic hierarchy process(AHP)method and aims to maximize the net benefit of power system load restoration.The strong duality theory and the approximate upper bound method are used to linearize the proposed model and improve solution efficiency.Simulations on a improve 125-bus real power system demonstrate that the proposed method can effectively reflect the time-varying characteristics of thermostatically controlled loads and address source/load uncertainties,thereby improving the net benefit of load restoration.关键词
负荷恢复/温控负荷/时变特性/分布鲁棒随机优化/Wasserstein距离/条件风险价值Key words
load restoration/thermostatically controlled load/time-varying characteristic/distributionally robust stochastic optimization/Wasserstein distance/conditional value at risk(CVaR)引用本文复制引用
陈昌铭,薛禹胜,李泽,马欢,谭贝斯,林振智,文福拴..计及温控负荷时变特性的电力负荷恢复分布鲁棒随机优化[J].电力系统自动化,2025,49(14):109-119,11.基金项目
国家电网公司科技项目(5100-202240015A-1-1-ZN). This work is supported by State Grid Corporation of China(No.5100-202240015A-1-1-ZN). （5100-202240015A-1-1-ZN）
