考虑风电不确定性的电力系统恢复全过程两阶段鲁棒优化方法  

Two Stage Robust Optimization Method for the Whole-Process Power System Restoration Considering Wind Power Uncertainty

作　　者：顾雪平[1] 白岩松 李少岩[1] 信向誉 王铁强 Gu Xueping;Bai Yansong;Li Shaoyan;Xin Xiangyu;Wang Tieqiang(School of Electrical&Electronic Engineering North China Electric Power University,Baoding 071003 China;State Grid Hebei Electric Power Co.Ltd,Shijiazhuang 050021 China)

机构地区：[1]华北电力大学电气与电子工程学院,保定071003 [2]国网河北省电力有限公司,石家庄050021

出　　处：《电工技术学报》2022年第21期5462-5477,共16页Transactions of China Electrotechnical Society

基　　金：国家自然科学基金(52107092);河北省自然科学基金(E2019502195);中央高校基本科研业务费专项资金(2021MS063)资助项目。

摘　　要：我国能源低碳转型过程中电力系统的风电接入比例将不断提高,研究新形势下的恢复控制问题对提升电力系统的保底安全性具有重要意义。针对风电接入背景下的电力系统恢复决策优化问题,该文建立了考虑风电不确定性的全过程两阶段鲁棒优化模型。第一阶段考虑已恢复节点重要度指标、负荷恢复量以及风功率波动场景集,对系统元件恢复次序做出决策;第二阶段包含双层目标,外层目标为最大化风功率波动对系统负荷恢复量的影响,内层目标为在最恶劣的风电波动场景下最大化系统负荷恢复量,并利用对偶原理将第二阶段问题转化为单层优化问题。采用区间不确定集描述风功率时空不确定性,通过列与约束生成算法求解此两阶段优化问题,利用启发式方法加速主问题求解。最后,通过新英格兰39节点系统与实际电网算例验证所提方法的鲁棒性与实用性。The proportion of wind power in power systems will be further improved in the process of low carbon transformation in China.It is of great significance to study the restoration control problem under the new situation to improve the security of power systems.Aiming at the problem of power system restoration decision optimization under the background of wind power integration,a two-stage robust optimization model considering wind power uncertainty was established for the whole power system restoration process in this paper.In the first stage,the nodeimportance index,load restoration amount and wind power fluctuation scenario set were considered to make a decision on power system component restoration sequence.In the second stage,two-level objectives were included.The outer-level objective was to maximum the impact of wind power fluctuation on load restoration.The inner-level objective was to maximum load restoration in the worst wind power fluctuation scenario.The model of the second stage was transformed into a single-level optimization model by the duality principle.The interval uncertainty set was used to depict the temporal and spatial uncertainty of wind power.The two-stage optimization problem was solved by column-and-constraint generation algorithm,and the heuristic method was used to accelerate the first stage solving process.Finally,the robustness and practicability of the proposed method are verified by the New England 39-bus system and a real power system.

关 键 词：大停电 恢复控制 全过程 鲁棒优化 列与约束生成 

分 类 号：TM732[电气工程—电力系统及自动化]