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考虑韧性提升的配电网故障恢复与抢修协调优化

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近年来,配电网在应对自然灾害、突发情况等扰动事件时所表现出的韧性受到越来越多的关注和重视.为优化配电网应对极端事件的灾后恢复能力,提出一种考虑韧性提升的配电网故障恢复与抢修协调优化策略.首先,综合考虑故障抢修时系统韧性的提升和抢修完成后重要负荷的恢复,构建了协同故障恢复与抢修策略的双层优化模型.其次,提出了一种改进哈里斯鹰优化算法对抢修模型进行求解,获取最优抢修顺序,并据此滚动求解极端事件后配电网的孤岛划分与开关重构方案,从而在两者有机结合的框架下得到最优的灾后配电网修复策略.最后,利用IEEE 33节点进行仿真验证.结果表明,所提策略充分考虑故障恢复与抢修的协同关系,在配电网灾后韧性提升方面具有一定优越性.
Coordinated Optimization of Fault Recovery and Emergency Repair for Distribution Network Con-sidering Resilience Improvement
In recent years,more and more attention has been paid to the resilience of the distribution network in response to natural disasters,emergencies and other disturbance events.In order to enhance the post-disaster recovery capabilities of distribution network in response to extreme events,we introduced a coordinated optimization strategy that focused on fault recovery and emergency repairs,with resilience improvement as a key consideration.Initially,a bilayer optimization model that integrated fault recovery and emergency repair strategies was constructed.This model not only emphasized system resilience during the repair process but also prioritized the restoration of critical loads upon completion of the re-pairs.Furthermore,an enhanced Harris Hawks Optimization algorithm to solve the emergency repair model was proposed,determining the most effective repair sequence.Based on the results above,this paper iteratively devised solutions for is-land partitioning and switch reconfiguration in the distribution network following extreme events.This holistic approach aimed to formulate the optimal post-disaster repair strategy for the distribution network.To validate this strategy,we conducted simulations using the IEEE 33-node system.The results verify the effectiveness of the strategy in harnessing the synergistic relationship between fault recovery and emergency repairs,thereby significantly enhancing the resilience of the distribution network in post-disaster scenarios.

distribution networkincreased resiliencefault repairfault recoverydistributed generationHarris Hawks optimization

徐岩、郭佳睿、马天祥

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新能源电力系统全国重点实验室(华北电力大学),保定 071003

国网河北省电力有限公司电力科学研究院,石家庄 050021

配电网 韧性提升 故障抢修 故障恢复 分布式电源 哈里斯鹰优化算法

2024

高电压技术
中国电力科学研究院 中国电机工程学会

高电压技术

CSTPCD北大核心
影响因子:2.32
ISSN:1003-6520
年,卷(期):2024.50(12)