中国电机工程学报2024，Vol.44Issue(22)：8730-8743,中插4,15.DOI:10.13334/j.0258-8013.pcsee.230818
考虑风电不确定性的交直流混联电网受端系统恢复决策优化方法
Optimization Method of Restoration Decision for the Receiving-end System of Hybrid AC/DC Power Grids Considering Wind Power Uncertainty
摘要
Abstract
With the continuous improvement of wind power penetration rate,the restoration plan is increasingly affected by the uncertainty of accessing wind power.For the receiving end system containing high-voltage direct current transmission(HVDC),the start-up and operation of HVDC during the restoration process has high requirements for the network structure and power scheduling scheme of the AC system.It is of great significance to consider the impact of wind power uncertainty when making restoration decision on the receiving end system fed by HVDC in order to maximize the support power of HVDC to accelerate the system restoration process.Therefore,the paper proposes a restoration decision method of the receiving end system fed by HVDC considering wind power uncertainty.First,the partial-dimensional correlation-aided convex hull uncertainty set(CHUS)is used to characterize the extreme wind power output scenarios.Second,a two-stage adaptive robust restoration model considering the wind power uncertainty and the start-up and operational characteristics of HVDC is established.Then,the start-up and operational characteristics of HVDC are linearized using the adjoint network method.Next,the column and constraint generation algorithm(C&CG)is used to solve the optimization model.Finally,the effectiveness and practically of the proposed method are verified by the New England 10-unit 39-bus case and an actual system from a southwestern province of China.关键词
风电不确定性/恢复决策/高压直流输电/线性化/两阶段/鲁棒Key words
wind power uncertainty/restoration decision/HVDC/linearization/two stage/robust分类
信息技术与安全科学引用本文复制引用
顾雪平,白岩松,李少岩,孟荣涛..考虑风电不确定性的交直流混联电网受端系统恢复决策优化方法[J].中国电机工程学报,2024,44(22):8730-8743,中插4,15.基金项目
国家自然科学基金项目(U22B2099,52107092). Project Supported by National Natural Science Foundation of China(U22B2099,52107092). （U22B2099,52107092）
