| 引用本文: | 侯 慧,刘 超,陈 希,等.台风灾害下配网两阶段应急抢修恢复优化策略[J].电力系统保护与控制,2022,50(23):169-179.[点击复制] |
| HOU Hui,LIU Chao,CHEN Xi,et al.Optimization strategy for two-stage emergency repair and recovery of a distributionnetwork after a typhoon disaster[J].Power System Protection and Control,2022,50(23):169-179[点击复制] |
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| 摘要: |
| 沿海地区配网出现的事故多为自然灾害所致，其中台风灾害破坏尤为严重。尽管台风属于小概率天气事件，一旦出现影响严重，制定科学有效的应急抢修恢复优化策略有利于提高配网灾后复电速度。提出一种台风灾害下配网两阶段应急抢修恢复优化策略。第一阶段，根据台风灾害下监测的多源异构数据计算配网线路故障概率，在此基础上以故障线路等待抢修造成失负荷量最小为目标，建立配网应急抢修临时调拨中心选址模型。第二阶段，进一步考虑台风灾害后配网故障不确定性，采用蒙特卡洛场景生成与同步回代场景缩减相结合的方法，生成灾后配网故障场景。基于移动分布式电源与抢修人员相协同的思路，利用改进遗传算法求解灾后配网故障抢修恢复优化模型。最后，利用IEEE33节点系统验证所提方法的科学性与有效性。 |
| 关键词: 台风灾害 配网 应急抢修 场景生成与缩减 移动分布式电源 |
| DOI：DOI: 10.19783/j.cnki.pspc.220309 |
| 投稿时间：2022-03-10修订日期：2022-05-09 |
| 基金项目:中国南方电网有限责任公司科技项目资助(GDKJXM20198441(036100KK52190053)；GDKJXM20210044 (036100KK52210047)) |
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| Optimization strategy for two-stage emergency repair and recovery of a distributionnetwork after a typhoon disaster |
| HOU Hui,LIU Chao,CHEN Xi,WEI Ruizeng,WANG Lei,LIU Tong |
| (1. School of Automation, Wuhan University of Technology, Wuhan 430070, China; 2. Guangdong Provincial Key
Laboratory of Electric Power Equipment Reliability (Electric Power Research Institute of Guangdong Power Grid
Co., Ltd.), Guangzhou 510080, China; 3. Guangdong Power Grid Co., Ltd., Guangzhou 510080, China) |
| Abstract: |
| Most distribution network accidents in coastal areas are caused by natural disasters, among which the typhoon is the most serious. Although a typhoon is a low probability weather event, once it appears, it will have a serious impact. Making a scientific and effective optimization strategy for emergency repair and recovery is conducive to improving the speed of power restoration after a disaster. This paper presents a two-stage optimization strategy for emergency repair and recovery of distribution network. In the first stage, the fault probability of the distribution network line is calculated from the multi-source heterogeneous data monitored in a typhoon disaster. Then a location model of a temporary allocation center for emergency repair of the distribution network is established with the goal of minimizing the loss of load caused by the fault line waiting for emergency repair. In the second stage, considering the uncertainty of distribution network fault after a typhoon disaster, Monte Carlo scenario generation and synchronous back generation scenario reduction are used to generate a post-disaster distribution network fault scenario. Based on the idea of cooperation between mobile distributed power supply and emergency repair personnel, an improved genetic algorithm is used to analyze the optimization model of post-disaster distribution network fault emergency repair and recovery. Finally, the IEEE 33 bus system is used to verify the scientific nature and validity of the proposed method.
This work is supported by the Science and Technology Project of China Southern Power Grid Co., Ltd. (No. GDKJXM20198441 (036100KK52190053) and No. GDKJXM20210044 (036100KK52210047)). |
| Key words: typhoon disaster distribution network emergency repair scenario generation and reduction mobile distributed power supply |
