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为解决极端灾害下配电网发生事故后的故障恢复，提出一种供电能力动态修复下的配电网故障抢修与修复的协调优化方法，在极端灾害下通过配电网的重构与抢修快速恢复供电能力。首先，综合考虑重要负荷恢复、网络损失、开关动作次数等因素，创建考虑孤岛、重构与抢修的配电网故障恢复耦合规划模型，各层之间相互影响，动态优化，保障配电网可靠、快速恢复正常。然后，分别介绍各层模型及算法，采用动态孤岛划分策略，利用改进的鲸鱼优化算法（whale optimization algorithm,WOA）和动态恢复策略实现配电网故障抢修过程中更快更好地恢复供电能力。最后，通过算例仿真验证了所提策略的有效性。
Abstract：In order to solve the fault recovery of distribution networks after accidents under extreme disasters,a coordinated optimization method of fault repair and restoration of distribution networks under dynamic restoration of power supply capacity is proposed,which quickly restores the power supply capacity through reconfiguration and repair of distribution networks under extreme disasters. First,the coupled planning model of distribution network fault restoration considering islanding,reconfiguration,and repair is created by comprehensively considering important load restoration,network loss,and the number of switch actions,and the layers interact with each other and dynamically optimized to ensure that the distribution network is reliably and quickly restored to normal.Then,the models and algorithms of each layer are introduced respectively,and the dynamic islanding strategy is adopted to realize faster and better restoration of power supply capacity during distribution network fault repair using the improved whale optimization algorithm(WOA) and dynamic recovery strategy. Finally,the effectiveness of the proposed strategy is verified by arithmetic simulation.
[1] KIM J Y,SEO J H,BANG I C.Carbon neutrality strategy with small modular reactor-based hybrid energy system:a case study for a small Island and isolated power grid[J]. Energy Conversion and Management,2024,301:118041.
[2]赵高帅，罗涛，闫大威，等.考虑源荷相关性及不确定性的配电网网架规划方法[J].浙江电力，2024,43(10):65-74.ZHAO Gaoshuai,LUO Tao,YAN Dawei,et al. A framework planning method for distribution networks considering the sourceload correlation and uncertainty[J].Zhejiang Electric Power,2024,43(10):65-74.
[3]盛戈皞，钱勇，罗林根，等.面向新型电力系统的数字化电力设备关键技术及其发展趋势[J].高电压技术，2023,49(5):1765-1778.SHENG Gehao,QIAN Yong,LUO Lingen,et al.Key technologies and development trends of digital power equipment for new type power system[J].High Voltage Engineering,2023,49(5):1765-1778.
[4]王成山，李鹏.分布式发电、微网与智能配电网的发展与挑战[J].电力系统自动化，2010,34(2):10-14.WANG Chengshan,LI Peng. Development and challenges of distributed generation,the micro-grid and smart distribution system[J].Automation of Electric Power Systems,2010,34(2):10-14.
[5]牛耕，孔力，周龙，等.含分布式电源的配电网的供电恢复技术研究综述[J].电工电能新技术，2017,36(9):51-62.NIU Geng,KONG Li,ZHOU Long,et al.Review of power service restoration of distribution network with distributed generation[J].Advanced Technology of Electrical Engineering and Energy,2017,36(9):51-62.
[6] ZHU J,GU W,JIANG P,et al. Dynamic island partition for distribution system with renewable energy to decrease customer interruption cost[J]. Journal of Electrical Engineering&Technology,2017,12(6):2146-2156.
[7]姚梦，王越.考虑冷负荷冲击影响的电动汽车辅助孤岛复电方法[J].电力系统自动化，2019,43(7):144-150.YAO Meng,WANG Yue. Restoration method of electric power supply for isolated island with auxiliary of electric vehicles considering impact of cooling load[J]. Automation of Electric Power Systems,2019,43(7):144-150.
[8]王成山，李鹏，于浩.智能配电网的新形态及其灵活性特征分析与应用[J].电力系统自动化，2018,42(10):13-21.WANG Chengshan, LI Peng, YU Hao. Development and characteristic analysis of flexibility in smart distribution network[J].Automation of Electric Power Systems,2018,42(10):13-21.
[9] LI Y,XIAO J X,CHEN C,et al. Service restoration model with mixed-integer second-order cone programming for distribution network with distributed generations[J]. IEEE Transactions on Smart Grid,2019,10(4):4138-4150.
[10]陈春，吴宜桐，李锰，等.基于网络拓扑有向遍历的配电网故障快速恢复方法[J].电力系统自动化，2021,45(7):44-52.CHEN Chun,WU Yitong,LI Meng,et al.Method for fast recovery from distribution network fault based on directed traversal of network topology[J].Automation of Electric Power Systems,2021,45(7):44-52.
[11] HUANG Y X,LI G F,CHEN C,et al. Resilient distribution networks by microgrid formation using deep reinforcement learning[J].IEEE Transactions on Smart Grid,2022,13(6):4918-4930.
[12] NARA K,SHIOSE A,KITAGAWA M,et al. Implementation of genetic algorithm for distribution systems loss minimum reconfiguration[J]. IEEE Transactions on Power Systems,1992,7(3):1044-1051.
[13]王超学，崔杜武，崔颖安，等.使用基于中医思想的蚁群算法求解配电网重构[J].中国电机工程学报，2008,28(7):13-18.WANG Chaoxue,CUI Duwu,CUI Ying’an,et al. Distribution network reconfiguration using a novel ant colony system based on traditional Chinese medicine theory[J].Proceedings of the CSEE,2008,28(7):13-18.
[14]彭佳盛，文云峰，梁晓锐，等.基于弹性系数的配电网重构与故障抢修协同优化方法[J/OL].电力系统自动化，1-13[2024-09-25]. http：//kns. cnki. net/kcms/detail/32.1180.TP.20240112.1407.002.html.PENG Jiasheng,WEN Yunfeng,LIANG Xiaorui,et al.Resilience coefficient based collaborative optimization method of distribution network reconfiguration and fault repair[J/OL]. Automation of Electric Power Systems,1-13[2024-09-25].http：//kns.cnki.net/kcms/detail/32.1180.TP.20240112.1407.002.html.
[15]马瑞，张海波，王建雄，等.考虑负荷时变性的配电网故障抢修恢复策略[J].电力科学与技术学报，2019,34(2):20-27.MA Rui,ZHANG Haibo,WANG Jianxiong,et al.Recovery strategy of distribution network fault repair considering time-varying load[J]. Journal of Electric Power Science and Technology,2019,34(2):20-27.
[16]姚卓磊，黄文焘，余墨多，等.智能配电网电力-通信灾害故障动态协调恢复方法[J].电力系统自动化，2022,46(19):87-94.YAO Zhuolei,HUANG Wentao,YU Moduo,et al. Dynamic coordination recovery method for power-communication disaster fault in smart distribution network[J]. Automation of Electric Power Systems,2022,46(19):87-94.
[17]施聚辉，黄晓燕，曹智博，等.基于馈线故障预测的配电网抢修驻点优化选址[J].浙江电力，2023,42(7):86-93.SHI Juhui,HUANG Xiaoyan,CAO Zhibo,et al.Optimal location of stationing points for distribution network repair based on feeder fault prediction[J].Zhejiang Electric Power,2023,42(7):86-93.
[18]杨楠，刘俊豪，陈道君，等.考虑区域源-荷均衡的电磁环网开环分区方案生成方法研究[J].中国电机工程学报，2021,41(13):4462-4479.YANG Nan,LIU Junhao,CHEN Daojun,et al. Research on generation methods of partition scheme of electromagnetic loop network considering regional source-load equilibrium[J].Proceedings of the CSEE,2021,41(13):4462-4479.
[19]李尚轩.考虑交通网影响的台风灾后配电网故障抢修决策方法研究[D].南京：南京理工大学，2021.
[20]尹媛媛.基于GIS的配电网故障定位及其最佳抢修路径的研究[D].济南：山东大学，2014.
[21]孟军.配电网故障抢修关键技术研究及应用[D].南京：东南大学，2019.
[22]陈彬，于继来.考虑通信影响的配网恢复力评估及提升措施研究[J].电网技术，2019,43(7):2314-2320.CHEN Bin,YU Jilai. Research on resilience assessment and improvement measures of distribution network considering the influence of communication system[J].Power System Technology,2019,43(7):2314-2320.
[23]张尚德，张莲，赵梦琪，等.基于改进鲸鱼算法的配电网层级模型故障区段定位[J].湖南电力，2023,43(1):1-7.ZHANG Shangde,ZHANG Lian,ZHAO Mengqi,et al. Fault location of distribution network hierarchical model based on improved whale algorithm[J].Hunan Electric Power,2023,43(1):1-7.
[24]于存威，莫礼平，万润泽.基于莱维飞行和布朗运动的鲸鱼优化算法[J].吉首大学学报（自然科学版），2023,44(2):24-32.YU Cunwei,MO Liping,WAN Runze. An improved whale optimization algorithm based on levy flight and Brownian motion[J].Journal of Jishou University(Natural Sciences Edition),2023,44(2):24-32.
[25] SUN L,SI S S,DING W P,et al. TFSFB:two-stage feature selection via fusing fuzzy multi-neighborhood rough set with binary whale optimization for imbalanced data[J]. Information Fusion,2023,95:91-108.
[26] YU H L,ZHAO Z S,HEIDARI A A,et al. An accelerated sine mapping whale optimizer for feature selection[J].iScience,2023,26(10):107896.
[27]张兰勇，孟坤，刘胜，等.基于改进双粒子群算法的舰船电力系统网络故障重构[J].电力系统保护与控制，2019,47(9):90-96.ZHANG Lanyong,MENG Kun,LIU Sheng,et al.Reconstruction of ship power system network fault based on improved two particle swarm algorithm[J].Power System Protection and Control,2019,47(9):90-96.
[28]吴大立，郑中祥，尹项根，等.基于Petri网和多种群遗传算法的海洋核动力平台电力系统网络重构[J].电力自动化设备，2020,40(8):160-168.WU Dali,ZHENG Zhongxiang,YIN Xianggen,et al. Network reconstruction of offshore nuclear power platform power system based on Petri net and multi-population genetic algorithm[J].Electric Power Automation Equipment,2020,40(8):160-168.
基本信息:
DOI：10.20097/j.cnki.issn1007-9904.2025.08.003
中图分类号:TM73
引用信息:
[1]陈冰冰,刘家腾,吴浩天,等.基于供电能力动态提升的配电网故障抢修与恢复协调优化[J].山东电力技术,2025,52(08):25-35+44.DOI:10.20097/j.cnki.issn1007-9904.2025.08.003.
基金信息:
国网江苏省电力有限公司科技项目(J2023102)~~
2024-11-19
2024
2025-01-17
2025
2025-08-13
1
2025-08-25
2025-08-25