A Multi-Stage Service Restoration Method for Complex Distribution Networks with Distributed Generators
Wen Juan1, 2, Tan Yanghong1, He Yigang3, Lei Kejun1
1. College of Electrical and Information Engineering Hunan University Changsha 410082 China; 2. College of Electrical and Information Engineering University of South China Hengyang 421001 China; 3. School of Electrical Engineering and Automation Hefei University of Technology Hefei 230001 China
Abstract：This paper presented an effective multi-stage service restoration method in view of fast recovery from failures in complex distribution network with distributed generators (DGs). The whole process was composed of four stages, i.e. analyzing dynamic topology, matching islanding strategies, restoring the connectivity of network with DGs, and optimizing network. A dynamic topology analysis method was used if a fault occurred to identify the out-of-service areas, determine the restoration scheme, and update the topological parameters. In the second stage, an optimal islanding partition strategy was formulated to improve the utilization of DG and restore the maximum loads. The network connectivity should be restored if the DG is synchronized to the main grid. Whether the network optimization was carried out or not depended on violations of the power flow constraints. To avoid the infeasible solutions, a hierarchical code scheme was proposed to generate candidate solutions during network optimization. Simulation results show that the proposed method can obtain appropriate restoration plan to restore the maximization of out-of-service loads. It would improve the efficiency of service restoration by reducing the number of switching operations and the recovery time.
文娟, 谭阳红, 何怡刚, 雷可君. 含分布式电源的复杂配电网多阶段故障恢复方法[J]. 电工技术学报, 2018, 33(14): 3332-3341.
Wen Juan, Tan Yanghong, He Yigang, Lei Kejun. A Multi-Stage Service Restoration Method for Complex Distribution Networks with Distributed Generators. Transactions of China Electrotechnical Society, 2018, 33(14): 3332-3341.
[1] Asrari A, Wu T, Lotfifard S.The impacts of distributed energy sources on distribution network reconfiguration[J]. IEEE Transactions on Energy Conversion, 2016, 31(2): 606-613. [2] 陈汝斯, 林涛, 余光正, 等. 计及电能质量影响的智能配电网孤岛划分策略[J]. 电工技术学报, 2016, 31(增刊2): 150-158. Chen Rusi, Lin Tao, Yu Guangzheng, et al.Island separation strategy of smart distribution grid con- sidering the effect of power quality factors[J]. Transactions of China Electrotechnical Society, 2016, 31(S2): 150-158. [3] 刘宗歧, 石道桂, 陈启, 等. 基于节点状态优化的配电网故障恢复混合整数线性规划方法[J]. 电力自动化设备, 2017, 37(1): 53-57. Liu Zongqi, Shi Daogui, Chen Qi, et al.MILP approach based on node status optimization for distribution network restoration[J]. Electric Power Automation Equipment, 2017, 37(1): 53-57. [4] 王增平, 姚玉海, 郭昆亚, 等. 基于等级偏好优序法和切负荷的配电网故障恢复[J]. 电工技术学报, 2015, 30(20): 185-191. Wang Zengping, Yao Yuhai, Guo Kunya, et al.Distribution network service restoration based on rank preference optimal and load shedding[J]. Transactions of China Electrotechnical Society, 2015, 30(20): 185-191. [5] Shin D J, Kim J O, Kim T K, et al.Optimal service restoration and reconfiguration of network using Genetic-Tabu algorithm[J]. Electric Power Systems Research, 2004, 71(2): 145-152. [6] Gholami M, Moshtagh J.Service restoration in distribution networks using combination of two heuristic methods considering load shedding[J]. Journal of Modern Power Systems and Clean Energy, 2015, 3(4): 556-564. [7] Jorge M B, Héctor V O, Miguel L G, et al.Multi-fault service restoration in distribution networks con- sidering the operating mode of distributed generation[J]. Electric Power Systems Research, 2014, 116(11): 67-76. [8] Basso T S, DeBlasio R. IEEE 1547 series of standards: interconnection issues[J]. IEEE Transa- ctions on Power System, 2004, 19(5): 1159-1162. [9] 董晓峰, 陆于平. 基于改进Prim算法的分布式发电孤岛划分方法[J]. 电网技术, 2010, 34(9): 195-200. Dong Xiaofeng, Lu Yuping.Islanding algorithm for distributed generators based on improved prim algorithm[J]. Power System Technology, 2010, 34(9): 195-200. [10] 李红伟, 林山峰, 吴华兵, 等. 基于动态规划算法的配电网孤岛划分策略[J]. 电力自动化设备, 2017, 37(1): 47-52. Li Hongwei, Lin Shanfeng, Wu Huabing, et al.Islanding strategy based on dynamic programming algorithm for distribution network[J]. Electric Power Automation Equipment, 2017, 37(1): 47-52. [11] 刘宗歧, 鲍巧敏, 孙春山, 等. 基于改进Kruskal算法的含分布式发电的配网孤岛划分算法[J]. 电工技术学报, 2013, 28(9): 164-171. Liu Zongqi, Bao Qiaomin, Sun Chunshan, et al.Islanding algorithm of distribution system with distributed generations based on improved Kruskal algorithm[J]. Transactions of China Electrotechnical Society, 2013, 28(9): 164-171. [12] 刘健, 张志华, 张小庆, 等. 配电网模式化故障处理方法研究[J]. 电网技术, 2011, 35(11): 97-102. Liu Jian, Zhang Zhihua, Zhang Xiaoqing, et al.Modeled fault isolation and restoration for distri- bution systems[J]. Power System Technology, 2011, 35(11): 97-102. [13] 孙洁, 王增平, 王英男, 等. 含分布式电源的复杂配电网故障恢复[J]. 电力系统保护与控制, 2014, 42(2): 56-62. Sun Jie, Wang Zengping, Wang Yingnan, et al.Service restoration of complex distribution system with distributed generation[J]. Power System Pro- tection and Control, 2014, 42(2): 56-62. [14] 汤亚芳, 陈曦, 程浩忠. 基于协同进化算法的配电网故障阶段式恢复策略[J]. 电网技术, 2008, 32(16): 71-75. Tang Yafang, Chen Xi, Cheng Haozhong.A phased fault restoration algorithm for distribution system based on co-evolutionary algorithm of PSO and SA[J]. Power System Technology, 2008, 32(16): 71-75. [15] 徐玉琴, 张丽, 王增平, 等. 基于多智能体遗传算法并考虑分布式电源的配电网大面积断电供电恢复算法[J]. 电工技术学报, 2010, 25(4): 135-141. Xu Yuqin, Zhang Li, Wang Zengping, et al.Algorithm of service restoration for large area blackout in distribution network with distributed generators[J]. Transactions of China Electrotechnical Society, 2010, 25(4): 135-141. [16] 杨丽君, 于琦, 魏玲玲. 基于移动多代理动态联盟的配电网故障恢复研究[J]. 电工技术学报, 2016, 31(8): 147-154. Yang Lijun, Yu Qi, Wei Lingling.A distribution network fault recovery study on the dynamic alliance of mobile multi-agent[J]. Transactions of China Electrotechnical Society, 2016, 31(8): 147-154. [17] Aziz F.Network reconfiguration and distributed generation sizing in radial distribution network using particle swarm optimization[J]. International Journal of Electrical Power & Energy Systems, 2015, 64(1): 457-468. [18] Khan S, Yang S, Wang L, et al.A modified particle swarm optimization algorithm for global optimi- zations of inverse problems[J]. IEEE Transactions on Magnetics, 2015, 6729(12): 1-5.
2018, Vol. 33 
