基于等级偏好优序法和切负荷的配电网故障恢复

摘要
图/表
参考文献
相关文章 (15)

全文: PDF (317 KB)
输出: BibTeX | EndNote (RIS)

摘要评价方法决定着全局最优解的获得,对于群体智能算法至关重要。本文采用等级偏好优序法对种群中的个体进行评价,通过对优序法中的指标优序数进行改进,可将恢复方案的优劣程度更好地区分出来。针对传统群体智能算法难以应对负荷无法完全恢复的问题,本文提出了一种切负荷策略融入到二进制粒子群算法中,使得种群中的每个粒子为电气角度的可行解,通过算法的逐步迭代得到满足目标函数最优的解。并在故障恢复之前,采用重复潮流法对配电网络的供电能力进行评估,以此来判断算法是否需要投入切负荷,进而减少切负荷对算法效率的影响。最后通过算例验证了本文算法可以得到全局最优解并且可以解决负荷无法完全恢复的问题,具有一定的工程价值。

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	王增平
	姚玉海
	郭昆亚
	齐郑

关键词 ：故障恢复, 二进制粒子群算法, 配电网, 等级偏好优序法, 切负荷

Abstract：Evaluation method is essential for the swarm intelligence algorithm and determines the global optimal solution. In this paper, rank preference optimal was introduced to evaluate the individual of the population, which can get the obvious differences among alternatives by improving in attribute ordinal number. Regarding the traditional swarm intelligence algorithm is difficult to deal with the problem that the load cannot be recovered completely, this paper proposed a load shedding strategy to ensure each individual of the group is feasible in the point of electricity. In order to reduce the effect of load shedding on algorithm efficiency, repetitive power flow was introduced to calculate the power supply capability before executing the algorithm. Finally the analysis results show that the proposed method can effectively solve the problem of distribution network service restoration and has practical value.

Key words： Service restoration binary particle swarm optimization distribution network rank preference optimal load shedding strategy

收稿日期: 2013-10-29 出版日期: 2015-10-30

PACS:

TM73

基金资助:国家电网公司科技资助项目（KJ[2013]896）

作者简介: 王增平男,1964年生,教授,博士生导师,主要从事微机保护、变电站综合自动化等方面的研究。姚玉海男,1986年生,博士研究生,研究方向为电力系统自愈控制技术。

引用本文:

王增平,姚玉海,郭昆亚,齐郑. 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): 185-192. Wang Zengping, Yao Yuhai, Guo Kunya, Qi Zheng. Distribution Network Service Restoration Based on Rank Preference Optimal and Load Shedding. Transactions of China Electrotechnical Society, 2015, 30(20): 185-192.

链接本文:

https://dgjsxb.ces-transaction.com/CN/Y2015/V30/I20/185

[1] 刘莉, 陈学锋, 翟登辉. 智能配电网故障恢复的现状与展望[J]. 电力系统保护与控制, 2011, 39(13): 148-154. Liu Li, Chen Xuefeng, Zhai Denghui. Status and prospect of service restoration in smart distribution network[J]. Power System Protection and Control, 2011, 39(13): 148-154.
[2] 张浩, 和敬涵, 薄志谦, 等. 基于动态规划算法的故障恢复重构[J]. 电工技术学报, 2011, 26(12): 162-167. Zhang Hao, He Jinghan, Bo Zhiqian, et al. Service restoration based on dynamic programming[J]. Transac- tions of China Electrotechnical Society, 2011, 26(12): 162-167.
[3] 臧天磊, 钟佳辰, 何正友, 等. 基于启发式规则与熵权理论的配电网故障恢复[J]. 电网技术, 2012, 36(5): 251-257. Zang Tianlei, Zhong Jiachen, He Zhengyou, et al. Service restoration of distribution network based on heuristic rules and entropy weight[J]. Power System Technology, 2012, 36(5): 251-257.
[4] 刘道兵, 顾雪平, 赵洁琼. 地区电网故障恢复的实用化研究[J]. 电力系统保护与控制, 2010, 38(21): 48-52. Liu Daobing, Gu Xueping, Zhao Jieqiong. Practical research of fault restoration for the regional power grid[J]. Power System Protection and Control, 2010, 38(21): 48-52.
[5] 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): 13-19. Wang Chaoxue, Cui Duwu, Cui Ying’an, et al. Dis- tribution network reconfiguration using a novel ant colony system based on traditional Chinese medicine theory[J]. Proceedings of the CSEE, 2008, 28(7): 13-19.
[6] 郇嘉嘉, 黄少先. 基于免疫原理的蚁群算法在配电网恢复中的应用[J]. 电力系统保护与控制, 2008, 36(17): 89-93. Huan Jiajia, Huang Shaoxian. Ant colony algorithm based on immune principle for the fault restoration of distribution network[J]. Power System Protection and Control, 2008, 36(17): 89-93.
[7] 毕鹏翔, 刘健, 刘春新, 等. 配电网络重构的改进遗传算法[J]. 电力系统自动化, 2002, 26(2): 57-61. Bi Pengxiang, Liu Jian, Liu Chunxin, et al. A refined genetic algorithm for power distribution network recon- figuration[J]. Automation of Electric Power Systems, 2002, 26(2): 57-61.
[8] 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.
[9] 卢志刚, 董玉香. 基于改进二进制粒子群算法的配电网故障恢复[J]. 电力系统自动化, 2006, 30(24): 39-43. Lu Zhigang, Dong Yuxiang. Distribution system restoration based on improved binary particle swarm optimization[J]. Automation of Electric Power Systems, 2006, 30(24): 39-43.
[10] 李振坤, 陈星莺, 余昆, 等. 配电网重构的混合粒子群算法[J]. 中国电机工程学报, 2008, 28(31): 35-41. Li Zhenkun, Chen Xingying, Yu Kun, et al. Hybrid particle swarm optimization for distribution network reconfiguration[J]. Proceedings of the CSEE, 2008, 28(31): 35-41.
[11] 卢志刚, 杨国良, 张晓辉, 等. 改进二进制粒子群优化算法在配电网络重构中的应用[J]. 电力系统保护与控制, 2009, 37(7): 30-34. Lu Zhigang, Yang Guoliang, Zhang Xiaohui, et al. Reconfiguration of distribution network based on improved particle swarm optimization[J]. Power System Protection and Control, 2009, 37(7): 30-34.
[12] 雷绍兰, 王士彬, 胡晓倩, 等. 配电网供电恢复的混沌免疫算法[J]. 高电压技术, 2009, 35(6): 1492- 1496. Lei Shaolan, Wang Shibin, Hu Xiaoqian, et al. Chaotic optimization integrated with artificial immune algorithm for distribution service restoration after faults[J]. High Voltage Engineering, 2009, 35(6): 1492-1496.
[13] 孙雅明, 杜红卫. 可靠性知识与最优评估配电网故障恢复(二)最优评估[J]. 电力系统自动化, 2003, 27(13): 36-39. Sun Yaming, Du Hongwei. Fault service restoration for distribution networks based on the combination of reliable knowledge and optimum evaluated model part two optimum evaluated model[J]. Automation of Electric Power Systems, 2003, 27(13): 36-39.
[14] 黄弦超, 张粒子, Gareth T. 考虑负荷控制的配电网故障恢复[J]. 电力系统自动化, 2010, 34(17): 22-26. Huang Xianchao, Zhang Lizi, Gareth T. Service restoration of power distribution systems with load control[J]. Automation of Electric Power Systems, 2010, 34(17): 22-26.
[15] 黄弦超, Gareth T. 基于节点深度编码技术的配电网故障恢复[J]. 电力系统自动化, 2011, 35(6): 40-39. Huang Xianchao, Gareth T. Service restoration of distribution networks based on node-depth encoding technique[J]. Automation of Electric Power Systems, 2011, 35(6): 40-39.
[16] 陈春芳, 朱传喜, 黄先玖. 多属性决策的等级偏好优序法[J]. 系统工程理论与实践, 2012, 32(7): 1506- 1516. Chen Chunfang, Zhu Chuanxi, Huang Xianjiu. Rank preference optimal ordering method in the multi- attribute decision making[J]. Systems Engineering- Theory & Practice, 2012, 32(7): 1506-1516.
[17] Ou Y, Singh C. Assessment of available transfer capability and margins[J]. IEEE Transactions on Power Systems, 2002, 17(2): 463-468.
[18] Gravener M H, Nwankpa C. Available transfer capa- bility and first order sensitivity[J]. IEEE Transactions on Power Systems, 1999, 14(2): 512-518.
[19] Savierj S, Das D. Impact of network reconfiguration on loss allocation of radial distribution systems[J]. IEEE Transactions on Power Delivery, 2007, 22(4): 2473-2480.