| 蓝 天,郭文鑫,赵瑞锋,卢建刚,王海龙.基于场景聚类的主动配电网鲁棒故障恢复方法[J].电力需求侧管理,2025,27(4):29-34 |
| 基于场景聚类的主动配电网鲁棒故障恢复方法 |
| Robust fault restoration method for active distribution networks based on scenario clustering |
| 投稿时间：2025-04-13 修订日期：2025-05-09 |
| DOI：10. 3969 / j. issn. 1009-1831. 2025. 04. 005 |
| 中文关键词: 故障恢复 分布式电源 场景聚类 鲁棒优化 应急供电 |
| 英文关键词: fault recovery distributed generation scene clustering robust optimization emergency power suppl |
| 基金项目:南方电网公司科技项目（036000KK52222018（GDKJXM20222155） |
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| 中文摘要: |
| 为应对源荷双侧不确定性对主动配电网故障恢复策略可靠性的影响,挖掘分布式源荷协同参与故障恢复的潜力,提出一种基于场景聚类的鲁棒故障恢复方法。首先通过源荷历史运行数据生成联合场景集,并运用概率距离快速削减法获得典型场景库,随后建立考虑孤岛划分与源荷互动的主动配电网双层鲁棒故障恢复模型,通过嵌套迭代求解方法进行模型求解,进而生成鲁棒故障恢复方案,最终以IEEE 123节点测试配电网进行仿真分析,结果验证了该鲁棒故障恢复方法的有效性与优越性。 |
| 英文摘要: |
| To address the impact of the uncertainty from distributed energy resources and loads on the reliability of fault recovery strategies in active distribution networks, this paper explores the potential of collaborative participation of distributed generation and load in fault recovery. A robust fault recovery method based on scenario clustering is proposed. This method first generates a joint scenario set using historical operational data from the resources and loads, and employs a probabilistic distance reduction technique to obtain a typical scenario library. Subsequently, a two-layer robust fault restoration model for active distribution networks, considering island partitioning and source-load interaction., is established. The model is solved using a nested iterative solution method, which generates a robust fault restoration scheme. Finally, simulations are conducted using the IEEE 123-node test distribution network, and the results validate the effectiveness and superiority of the proposed robust fault recovery method. |
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