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-  2016 

基于启发式规则和人工免疫的智能配电网自愈 Self-healing of smart distribution network based on heuristic rules and artificial immune

Keywords: 配电网自愈,自愈模型,启发式规则,人工免疫

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Abstract:

为了快速得到智能配电网故障后的最优自愈方案,提出了一种基于启发式规则和人工免疫的配电网自愈方法.首先,分析了免疫抗体选择过程和电网自愈方案选择过程的相似性,并提出电网自愈的数学模型.然后,根据启发式规则生成自愈方案候选集.最后,利用人工免疫方程从负荷停电损失、网络损失和开关操作次数3个方面对所有自愈方案进行综合评价,确定最优的自愈方案.以五馈线配电网络为例,对其发生故障后自愈方案的选择进行仿真分析.仿真结果验证了该方法的可行性和有效性

References

[1]  杨德昌,李勇,Christian Rethanz,等.智能输电系统在中国的发展[J].电网技术,2010,34(5):1-6.Yang Dechang,Li Yong,Christian Rethanz.Overview of smart transmission system in China[J].Power System Technology,2010,34(5):1-6.
[2]  王珣,刘亚新,邓春,等.智能输电网分析管控系统开发与应用[J].中国电机工程学报,2011,31:50-54.Wang Xun,Liu Yaxin,Deng Chun,et al.Study and application of smart transmission grid analysis-control system[J].Proceedings of the CSEE,2011,31:50-54.
[3]  董旭柱,黄劭远,陈柔依,等.智能配电网自愈控制技术[J].电力系统自动化,2012,36(18):17-21.Dong Xuzhu,Huang Shaoyuan,Chen Rouyi.Network self-healing control technology of smart distribution grid[J].Automation of Electric Power Systems,2012,36(18):17-21.
[4]  Pere Guerrero R,Heydt G T,Jack N J.Optimal restoration of distribution systems using dynamic programming[J].IEEE Transactions on Power Delivery,2008,23(2):1589-1596.
[5]  张利民,马强,李振坤,等.基于禁忌克隆遗传算法的配电网故障恢复重构[J].电力系统及其自动化学报,2010,22(1):60-64.Zhang Limin,Ma Qiang,Li Zhenkun.Service restoration reconfiguration in distribution network based on tabu clonal genetic algorithm[J].Proceedings of CSUEPSA,2010,2(1):60-64.
[6]  程改红,徐政.基于粒子群优化的最优负荷恢复算法[J].电力系统自动化,2007,31(16):62-65.Cheng Gaihong,Xu Zheng.Optimal load recovery algorithm based on particle swarm optimization[J].Automation of Electric Power Systems,2007,31(16):62-65.
[7]  荀嘉嘉,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):28-31.Xun 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):28-31.
[8]  赵璇.智能配电网自愈策略研究[D].沈阳:沈阳理工大学,2012.Zhao Xuan.Study on Self-healing Control Method of Smart Distribution Network[D].Shengyang:Shengyang Ligong University,2012.
[9]  闵波.基于独特性网络的人工免疫模型研究与应用[D].成都:电子科技大学,2010.Min Bo.Artificial immune network and application based on a unique model[D].Chengdu:UESTC,2010.
[10]  高云园.基于生物免疫机理的多机器人协作研究[D].杭州:浙江大学,2007.Gao Yunyuan.Multi-robot collaborative research based on biological immune mechanism[D].Hangzhou:Zhejiang University,2007.
[11]  周勇,周泉,刘育民,等.基于启发式搜索和模糊评价的配电网故障恢复[J].重庆大学学报,2010,34(7):103-108.Zhou Yong,Zhou Quan.Heuristic research and fuzzy evaluation for-post-fault restoration in distribution networks[J].Journal of Chongqing University,2010,34(7):103-108.
[12]  王兆宇,艾芊.基于QPSO和BPSO算法的动态微电网多目标优化自愈[J].电网技术,2012,36(10):23-29.Wang Zhaoyu,Ai Qian,Multi-objective optimal selfhealing of dynamic microgrid based on QPSO and BPSO[J].Power System Technology,2012,36(10):23-29.
[13]  臧天磊,钟佳辰,何正友,等.基于启发式规则和熵权理论的配电网故障恢复[J].电网技术,2012,35(6):251-257.Zang Tianlei,Zhong Jiachen,He Zhengyou.Service restoration of distribution network based on heuristic rules and entropy weight[J].Power System Technology,2012,35(6):251-257.
[14]  刘育民.配电网故障诊断与快速供电恢复算法研究[D].重庆:重庆大学,2006.Liu Yumin.Study on fault diagnosis and fast service restoration of distribution system[D].Chongqing:Chongqing University,2006.
[15]  张东霞,姚良忠,马文媛.中外智能电网发展战略[J].中国电机工程学报,2013,33(31):1-14.Zhang Dongxia,Yao Liangzhong,Ma Wenyuan.Development strategies of smart grid in China and abroad[J].Proceedings of the CSEE,2013,33(31):1-14.

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