考虑分布式电源的配电网灾中-灾后两阶段协同韧性恢复决策OACSTPCD
In-and Post-disaster Two-stage Coordinated Resilience Recovery Decision of Distribution Network Considering Distributed Generators
频繁的极端自然灾害极易引发配电网大规模故障,基于分布式电源的负荷恢复是提高配电网韧性水平的重要手段.然而,现有研究一般将灾中和灾后阶段进行独立决策,忽略了二者决策的连续性和耦合性,延缓了恢复进程.为此,文中提出一种基于灾中-灾后两阶段协同决策的配电网快速恢复方法,充分考虑灾中-灾后过程中的相互作用,综合分布式电源调度、网络拓扑改变、维修人员调度等在内的恢复措施,保障灾中-灾后阶段连续决策的最优性.首先,考虑灾后供能路径对灾中网络拓扑的需求关系,建…查看全部>>
Frequent extreme natural disasters are highly likely to cause large-scale faults in the distribution network,and the distributed generator(DG)based load recovery is an important means to improve the resilience level of the distribution network.However,existing studies generally make independent decisions during the in-and post-disaster stages,while neglecting the continuity and coupling of the two decisions,and slowing down the recovery process.Therefore,thi…查看全部>>
刘玉玲;张峰;张刚;丁磊
电网智能化调度与控制教育部重点实验室(山东大学),山东省济南市 250061电网智能化调度与控制教育部重点实验室(山东大学),山东省济南市 250061烟台哈尔滨工程大学研究院,山东省烟台市 264006电网智能化调度与控制教育部重点实验室(山东大学),山东省济南市 250061
分布式电源配电网韧性灾中-灾后协同维修人员调度供能路径负荷恢复
distributed generatordistribution networkresiliencein-and post-disaster coordinationmaintenance personnel schedulingenergy supply pathload recovery
《电力系统自动化》 2024 (2)
48-59,12
国家自然科学基金资助项目(72271143,52307089)山东省自然科学基金资助项目(ZR2022QE012). This work is supported by National Natural Science Foundation of China(No.72271143,No.52307089),and Shandong Provincial Natural Science Foundation of China(No.ZR2022QE012).
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