杨奕, 刘青, 吴毅, 吴晓强. 基于改进萤火虫算法的配电网故障恢复策略[J]. 现代电力, 2024, 41(2): 287-294. DOI: 10.19725/j.cnki.1007-2322.2022.0226
引用本文: 杨奕, 刘青, 吴毅, 吴晓强. 基于改进萤火虫算法的配电网故障恢复策略[J]. 现代电力, 2024, 41(2): 287-294. DOI: 10.19725/j.cnki.1007-2322.2022.0226
YANG Yi, LIU Qing, WU Yi, WU Xiaoqiang. Fault Recovery Strategy of Distribution Network Based on Improved Firefly Algorithm[J]. Modern Electric Power, 2024, 41(2): 287-294. DOI: 10.19725/j.cnki.1007-2322.2022.0226
Citation: YANG Yi, LIU Qing, WU Yi, WU Xiaoqiang. Fault Recovery Strategy of Distribution Network Based on Improved Firefly Algorithm[J]. Modern Electric Power, 2024, 41(2): 287-294. DOI: 10.19725/j.cnki.1007-2322.2022.0226

基于改进萤火虫算法的配电网故障恢复策略

Fault Recovery Strategy of Distribution Network Based on Improved Firefly Algorithm

  • 摘要: 为提高含高比例新能源主动配电网的故障恢复可靠性,提出一种基于改进萤火虫算法的两阶段故障恢复策略。首先构建了风光储系统模型,减少了风光发电的不确定性对故障恢复的影响;第一阶段采用先广度后深度的组合算法对故障后的配电网进行孤岛划分,该组合算法充分考虑了负荷时变性及用户侧需求,保证了重要负荷被优先恢复;第二阶段采用改进萤火虫算法对配电网重构进行求解,最大限度地保证恢复供电,同时尽可能地减少网络损耗;最后以IEEE33节点配电网作为算例仿真,结果表明所提故障恢复策略能够得到配电网故障恢复最优方案,同时满足负荷用户侧需求,保证重要负荷不断电,提高供电恢复率,降低配电网故障后网损,验证了所述方法的有效性和优越性。

     

    Abstract: To improve the reliability of fault recovery for active distribution networks with high proportions of new energy sources, a two-stage fault recovery strategy based on an improved firefly algorithm is proposed. First, construct a wind and solar power storage system model to reduce the impact of wind and solar power generation uncertainties on fault recovery. In the first stage, use a combination algorithm that considers load variability and user demand to divide the distribution network into islands after a fault occurs to restore essential loads for the first time. In the second stage, use an improved firefly algorithm to solve the distribution network reconstruction problem, which maximizes the restoration of the power supply while minimizing network losses. Finally, use the IEEE33 node distribution network as an example, and the results show that the proposed fault recovery strategy can obtain the optimal solution for distribution network fault recovery while meeting load user demand, ensuring uninterrupted power supply to essential loads, increasing power supply recovery rate, and reducing network losses after distribution network faults. The results verify the effectiveness and superiority of the proposed method.

     

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