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1.智能电网教育部重点实验室(天津大学),天津市 300072
2.天津市电力系统仿真控制重点实验室(天津大学),天津市 300072
3.广东电网有限责任公司广州供电局,广东省广州市 510620
Received:14 November 2023,
Revised:2024-03-15,
Published Online:19 June 2024,
Published:25 October 2024
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伊博宇,陈益广,张少凡等.输配电网同时故障下基于多时段安德森加速的协同恢复策略[J].电力系统自动化,2024,48(20):159-170.
YI Boyu,CHEN Yiguang,ZHANG Shaofan,et al.Collaborative Recovery Strategy Based on Multi-period Anderson Acceleration Under Simultaneous Failures in Transmission and Distribution Network[J].Automation of Electric Power Systems,2024,48(20):159-170.
伊博宇,陈益广,张少凡等.输配电网同时故障下基于多时段安德森加速的协同恢复策略[J].电力系统自动化,2024,48(20):159-170. DOI: 10.7500/AEPS20231114004.
YI Boyu,CHEN Yiguang,ZHANG Shaofan,et al.Collaborative Recovery Strategy Based on Multi-period Anderson Acceleration Under Simultaneous Failures in Transmission and Distribution Network[J].Automation of Electric Power Systems,2024,48(20):159-170. DOI: 10.7500/AEPS20231114004.
极端灾害会对输配电网造成不同程度的破坏,影响电力系统正常运行。在故障发生后,合理的恢复策略有利于快速恢复供电,减少停电损失。针对极端灾害造成输配电网同时多重故障的场景,提出一种可以统筹输配电网资源的基于多时段安德森加速的输配协同灾后恢复策略。以恢复过程中最小运行成本为目标函数,计及输电网的机组运行状态、故障修复顺序,并同时考虑配电网的灵活资源响应、故障修复顺序以及网架重构和孤岛划分策略,采用全并行目标级联分析法对模型进行求解。为了解决由网架拓扑变化带来的目标级联分析法内循环收敛性差的问题,将扩展到多时段的安德森加速法应用于求解过程。T30D2和T57D8算例表明,所提方法不仅可以有效降低灾后恢复过程中的失电损失,还可以显著提高计算速度
并且对于接入多个主动配电网的大规模网架有良好的适应性。
Extreme disasters can cause varying degrees of damage to the distribution and transmission networks
affecting the normal operation of the power system. After a failure occurs
a reasonable recovery strategy is beneficial for rapidly restoring power supply and reducing outage losses. Aimed at the scenarios where extreme disasters cause simultaneous multiple failures in distribution and transmission networks
this paper proposes a collaborative post-disaster recovery strategy for distribution and transmission networks based on multi-period Anderson acceleration
which coordinates the resources of both networks. The strategy targets minimizing operation costs during the recovery process
considers the operating status of generating units in the transmission network and the fault repair sequence
and also incorporates the flexible resource response of the distribution network
the fault repair sequence
network reconfiguration
and islanding strategies. A fully parallel analytical target cascading method is adopted to solve the model. To address the issue of poor convergence in the inner loop of the analytical target cascading method caused by the changes in network topology
an extended multi-period Anderson acceleration method is applied in the solving process. The T30D2 and T57D8 test cases demonstrate that the proposed method can effectively reduce the power outage losses during the post-disaster recovery process and significantly improve computation speed
showing good adaptability for the large-scale network with the integration of multiple active distribution networks.
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