南方电网技术2026，Vol.20Issue(2)：115-125,11.DOI:10.13648/j.cnki.issn1674-0629.2026.02.012
计及新能源出力不确定性的电力系统恢复模型及快速求解方法
Power System Restoration Modeling and Fast Solution Method Considering the Uncertainty of New Energy Output
摘要
Abstract
Since the power grid emergency plan with black start and system restoration scheme being the core,which is usually very complicate,is always the most critical measure for power companies to cope with the large-scale power grid outage,and thus its effec-tive modeling and fast solving algorithm have been the challenging issue.To focus on the issue,this paper proposes a two-stage robust optimization model and a fast solving new method for system recovery considering the uncertainty of new energy power output(NEPO).Firstly,a two-stage robust optimization model that considers the uncertainty of NEPO and the constraints of AC power flow is constructed.Then,the low nonlinear transformation of power flow equation combined with second-order cone relaxation technique is proposed to transform the mixed integer nonlinear optimization model into the mixed integer second-order cone optimization model.Finally,the column and constraint generation algorithm is used to solve the problem.The effectiveness and advancement of the proposed model and algorithm are verified by a numerical example.关键词
黑启动及系统恢复/两阶段鲁棒优化模型/新能源出力不确定性/潮流方程转换/二阶锥松弛Key words
black start and system restoration/two-stage robust optimization model/uncertainty of new energy power output/power flow equation transformation/second-order cone relaxation分类
信息技术与安全科学引用本文复制引用
毛荀,董王朝,吕凯,王桢,赵鑫,李堂明,林济铿..计及新能源出力不确定性的电力系统恢复模型及快速求解方法[J].南方电网技术,2026,20(2):115-125,11.基金项目
国家自然科学基金资助项目(51177107) （51177107）
国网安徽省电力有限公司科技项目(521205230013). Supported by the National Natural Science Foundation of China(51177107) （521205230013）
the Science and Technology Project of State Grid Anhui Electric Power Corporation of China(521205230013). （521205230013）
