中国电机工程学报2017，Vol.37Issue(18)：5275-5285,11.DOI:10.13334/j.0258-8013.pcsee.161868
计及风电条件风险价值的负荷恢复双层优化
Bi-level Optimization of Load Restoration Considering the Conditional Value at Risk of Wind Power
摘要
Abstract
Load restoration will benefit from integrating proper percentage of wind power in the suitable time for power system with high penetration of wind power.However,the risk of a second outage would be higher.Considering the uncertainty of wind power in load restoration stage,a reward-oriented optimization model was constructed,which contained the benefit and risk of strategies.Primarily,conditional value at risk (CVaR) method was addressed for the quantification of uncertainty and risk of restoration strategies.In this way,the load restoration model with wind power uncertainty can be transformed to the multi-objective mixed integer non-linear programming (MMINP) model in which wind power was available in a certain confidence level.Furthermore,a linear method was proposed,by which can simplify the MMIPM to bi-level single-objective linear programming (Bi-SLP) with the use of the linear programming of AC power flow (LPAC) and the lexicographic optimization method (LOM).Ultimately,the optimization of load restoration can be completed by the repeated use of the proposed method in several progressive steps.The simulation results demonstrate that the proposed method is effective for scheduling wind power integration during load restoration by multi-stage decision-making and improve recovery efficiency according to restoration demands.关键词
负荷/可再生能源/条件风险价值/线性化Key words
load/renewable energy/conditional value at risk/linearization分类
信息技术与安全科学引用本文复制引用
赵瑾,王洪涛,曹曦..计及风电条件风险价值的负荷恢复双层优化[J].中国电机工程学报,2017,37(18):5275-5285,11.基金项目
国家重点研发计划项目(2016YFB0900105).National Key Research and Development Program (2016YFB0900105). （2016YFB0900105）
