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1.南瑞集团有限公司(国网电力科学研究院有限公司),江苏省南京市 211106
2.智能电网保护和运行控制国家重点实验室,江苏省南京市 211106
3.国网浙江省电力有限公司桐乡供电公司,浙江省桐乡市 314500
4.南京理工大学自动化学院,江苏省南京市 210094
Received:26 July 2021,
Revised:2021-08-14,
Published Online:26 October 2021,
Published:25 February 2022
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郁琛,李尚轩,谢云云等.考虑交通网与配电网信息融合的台风后配电网抢修策略优化[J].电力系统自动化,2022,46(4):15-24.
YU Chen,LI Shangxuan,XIE Yunyun,et al.Optimization of Post-typhoon Rush Repair Strategy for Distribution Network Considering Information Integration of Traffic Network and Distribution Network[J].Automation of Electric Power Systems,2022,46(4):15-24.
郁琛,李尚轩,谢云云等.考虑交通网与配电网信息融合的台风后配电网抢修策略优化[J].电力系统自动化,2022,46(4):15-24. DOI: 10.7500/AEPS20210726005.
YU Chen,LI Shangxuan,XIE Yunyun,et al.Optimization of Post-typhoon Rush Repair Strategy for Distribution Network Considering Information Integration of Traffic Network and Distribution Network[J].Automation of Electric Power Systems,2022,46(4):15-24. DOI: 10.7500/AEPS20210726005.
台风灾害经常导致配电网出现多种物理故障。合理的抢修计划能够减小故障停电时间,提高配电网可靠性。现有的研究主要集中在抢修资源的调度,包括抢修人员、材料和配电网的运行。但现有抢修策略中未能考虑交通状况的影响,这样会影响抢修策略的实施效果。随着电网信息采集能力的提升,电网已经具备了获取道路交通信息的能力。因此,文中提出一种优化台风后配电网抢修策略的方法,该方法考虑了交通网和配电网的信息集成。在构建信息集成框架的基础上,建立了考虑交通网中断的抢修策略的双层优化模型,协调和优化抢修人员、抢修材料、移动电源、网络重构等资源,以减少经济损失。最后,通过算例仿真验证了所提方法的有效性。
Typhoon disasters often result in multiple physical failures in the distribution network. A reasonable rush repair strategy can reduce the time of outrage and improve the reliability of the distribution network. The existing research mainly focuses on the dispatch of repair resources
including repair crews
materials and the operation of the distribution network. However
the current repair strategy has not considered the effect of traffic condition
which would affect the implementation effect of the strategy. With the improvement of power grid information collection capabilities
power grid has the ability to obtain traffic information. Therefore
this paper proposes a method to optimize the post-typhoon rush repair strategy for the distribution network
which considers the information integration of the traffic network and the distribution network. Based on the construction of an information integration framework
a two-layer optimization model for rush repair strategies considering the interruption of the traffic network is established to coordinate and optimize repair crews
repair materials
mobile power sources
network reconfiguration and other resources to reduce the economic losses. Finally
the effectiveness of the proposed method is verified by example simulation.
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