| 引用本文: | 陈碧云,陈灏颖,李滨.应对极端灾害的韧性配电网自动开关优化配置[J].电力自动化设备,2019,39(11): |
| CHEN Biyun,CHEN Haoying,LI Bin.Optimal planning of automatic switches in resilient distribution network against extreme disasters[J].Electric Power Automation Equipment,2019,39(11): |
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| 摘要: |
| 以台风灾害为例研究了考虑配电网抗灾韧性的自动开关优化配置模型。首先考虑台风风场、配电系统故障状态、系统负荷的不确定性，生成随机场景。其次分析台风灾害期间的配电网故障处理及供电恢复过程中的负荷区域供电状态，将自动开关优化配置问题进行建模，转换为两阶段的混合整数线性规划框架，第一阶段获取以投资运维费用和韧性成本的总费用最小为目标的自动开关配置方案，第二阶段求解以台风期间系统韧性指标最小为目标的负荷区域供电状态。最后，以IEEE 33节点系统为算例进行仿真分析，仿真结果表明所提出的模型应用自动开关配置方案后，具有较好的经济效益和韧性提升效率。 |
| 关键词: 配电网 韧性 自动开关 优化规划 台风灾害 |
| DOI：10.16081/j.epae.201911013 |
| 分类号:TM734 |
| 基金项目:国家自然科学基金资助项目(51767002) |
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| Optimal planning of automatic switches in resilient distribution network against extreme disasters |
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CHEN Biyun, CHEN Haoying, LI Bin
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Guangxi Key Laboratory of Power System Optimization and Energy Technology, Guangxi University, Nanning 530004, China
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| Abstract: |
| Taking typhoon disaster as an example, the automatic switch optimization configuration model considering the disaster resilience of distribution network is studied. Firstly, typhoon wind field, the fault state of distribution system and the uncertainty of system load are considered to generate random scenes. Secon-dly, the fault treatment of the distribution network during typhoon disaster and the power supply situation in the load area during power restoration are analyzed. Therefore, the automatic switch optimization configuration problem is modeled as a two-stage mixed integer linear programming framework. In the first stage, an automatic switch configuration scheme is obtained, which aims at minimizing the total cost of investment, ope-ration, maintenance and resilience. In the second stage, the power supply state of the load area is solved, which aims at minimizing the system resilience index during typhoon. Finally, the analysis of the example of IEEE 33-bus system shows that the automatic switch configuration scheme based on the proposed model has better economic efficiency and resilience improvement efficiency. |
| Key words: distribution network resilience automatic switch optimal planning typhoon disaster |
