线路加固与储能车协同配置的韧性提升两阶段鲁棒优化方法OA
Two-stage Robust Optimization Method for Resilience Enhancement via Coordinated Deployment of Line Reinforcement and Mobile Energy Storage Vehicles
为防御极端灾害,提升配电网韧性,提出线路加固与储能车的协同配置方法.首先,构建考虑不确定故障场景的两阶段鲁棒优化模型,两阶段含优化线路加固与储能车配置的投资阶段和最坏故障场景下动态储能车、电源等调度的恢复阶段.以投资成本与失负荷损失之和为目标函数,在满足设备数量、网络及储能车运行和网络辐射拓扑等约束条件下,对线路加固与储能车配置做优化决策.其次,采用嵌套列与约束生成算法求解,并通过启发式初始化策略,提升算法的收敛效率.仿真结果表明,在最坏故障场景下重要负荷恢复比例在90%以上.与单一配置相比,不仅降低配电网失负荷损失,还可改善经济性.该方法可应用于含更多设备协同配置、灾前投资与灾后恢复方案的优化,有效提升配电网韧性.
To defend against extreme disasters and enhance the resilience of distribution networks,a coordinated config⁃uration method of line reinforcement and mobile energy storage vehicles(MESVs)is proposed.First,a two-stage robust optimization model considering uncertain fault scenarios is established.The framework consists of an investment stage in which the line reinforcement and MESV configuration are optimized and a recovery stage in which the MESVs and other power sources are dynamically dispatched under the worst-case fault scenario.The objective function minimizes the sum of investment cost and load shedding loss,and the decisions on line reinforcement and configuration of MESVs are optimized under conditions including device quantity limits,network operation constraints,MESV operation con⁃straints and radial topology requirements of the distribution network.Second,a nested column-and-constraint genera⁃tion algorithm is adopted to solve the model,and a heuristic initialization strategy is introduced to improve the algo⁃rithm's convergence efficiency.Simulation results show that the coordinated configuration can ensure that the recovery ratio of critical loads exceeds90%under the worst-case fault scenario.Compared with the single configuration scheme,the proposed method not only reduces load shedding loss in the distribution network,but also improves the economic performance.This method can be extended to the coordinated configuration of additional devices,as well as the optimi⁃zation of pre-disaster investment and post-disaster recovery schemes,thereby effectively enhancing the resilience of dis⁃tribution networks.
周任军;蒋宏杰;郑帅;何娱;黄婧杰
长沙理工大学电网防灾减灾全国重点实验室,长沙410004国网湖南省电力有限公司株洲供电分公司,株洲412000国网湖南省电力有限公司永州供电分公司,永州425000长沙理工大学电网防灾减灾全国重点实验室,长沙410004长沙理工大学电网防灾减灾全国重点实验室,长沙410004
信息技术与安全科学
配电网韧性两阶段鲁棒优化嵌套列与约束生成算法线路加固储能车配置
resilience of distribution networktwo-stage robust optimizationnested column-and-constraint generation algorithmline reinforcementconfiguration of mobile energy storage vehicles
《电力系统及其自动化学报》 2026 (9)
1-12,12
智能电网国家科技重大专项项目(2025ZD0806800)湖南省自然科学基金资助项目(2025JJ50282).
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