电力系统保护与控制2025，Vol.53Issue(17)：79-90,12.DOI:10.19783/j.cnki.pspc.240904
计及恢复进程影响的电网分区鲁棒优化模型及算法
Robust optimization model and algorithm for power grid partitioning considering the impact of system recovery process
摘要
Abstract
Rational and systematic grid partitioning can significantly accelerate system recovery and improve restoration success rates.This paper investigates a robust optimization model and algorithm for power grid partitioning that accounts for the impact of the recovery process in new power systems.First,a robust optimization model for grid partitioning is constructed,with the objective of minimizing a weighted sum of outage losses during recovery,tie-line power flows between partitions,and differences in partition restoration times,while incorporating comprehensive operational constraints.The model also considers frequency and voltage regulation constraints,and uncertainties in renewable energy output within grid partitions,making it more consistent with engineering practice and yielding more practical partitioning schemes.Since the objective function includes node load restoration time variables in the recovery process,which makes direct solution difficult,an effective decomposition-based solution strategy is proposed.Specifically,the model is reformulated as a two-level optimization framework:the upper-level model is a robust partitioning optimization problem with given node load restoration times,solved using the constraint generation method(CG);the lower-level model is an approximate recovery optimization model for a given partition scheme,solved using the column and constraint generation method(C&CG).This solution algorithm effectively addresses the two interdependent subproblems of partitioning optimization and system recovery.Case studies and practical system tests verify the effectiveness and superiority of the proposed model and algorithm.关键词
新型电力系统/电网分区优化/系统恢复进程/鲁棒优化/分解求解方法Key words
new power system/grid partitioning optimization/system recovery process/robust optimization/decomposition-based solution method引用本文复制引用
毛荀,董王朝,王京景,吕凯,汤伟,俞登洋,黄凯,李堂明,林济铿..计及恢复进程影响的电网分区鲁棒优化模型及算法[J].电力系统保护与控制,2025,53(17):79-90,12.基金项目
This work is supported by the National Natural Science Foundation of China(No.51177107). 国家自然科学基金项目资助(51177107)"基于图论的智能电网最优电力孤岛形成模型和算法" （No.51177107）
国网安徽省电力有限公司科技项目资助(521205230013)"基于储能和新能源的区域电网黑启动及恢复关键技术研究" （521205230013）
