全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

和声算法在含DG配电网故障定位中的应用

, PP. 280-286

Keywords: 故障定位,分布式电源,开关函数,和声算法,分区域处理

Full-Text   Cite this paper   Add to My Lib

Abstract:

分布式电源的接入使得运用优化算法进行配电网故障定位时,开关函数的建立变得复杂且搜索速度慢。为快速、准确地对含DG配电网进行故障定位,本文建立的基于双向潮流的开关函数模型,不仅能适用于单电源单故障,亦能适用于多DG多故障情况。提出了一种适用于含DG配电网的分区域处理方法,将网络划分为有源树和无源树枝,通过剔除无故障电流的无源树枝来减少解的维数,从而提高搜索效率。本文以故障位置为变量,通过限制解的故障个数,避免产生大量不可行解,利用和声搜索算法快速、精确的特点进行全局寻优。通过算例分析,验证了本方法的准确性与快速性。

References

[1]  Wu Ning, Xu Yang, Lu Yuping. New fault section location algorithm for distribution network with DG[J]. Automation of Electric Power Systems, 2009, 33(14): 77-82.
[2]  Calderaro V, Piccolo A, Galdi V, et al. Identifying fault location in distribution systems with high distributed generation penetration[J]. IEEE Africon, 2009, (9): 23-25.
[3]  梅念, 石东源, 杨增力, 等. 一种实用的复杂配电网故障定位的矩阵算法[J]. 电力系统自动化, 2007, 31(10): 66-69.
[4]  Su Yongzhi, Pan Zhencun, Ding Lei. A fast algorithm of fault location for complicated distribution network[J]. Power System and Technology, 2005, 29(18): 75-78.
[5]  蒋秀洁, 熊信银, 吴耀武, 等. 改进矩阵算法及其在配电网故障定位中的应用[J]. 电网技术, 2004, 28(19): 60-63.
[6]  Zayandehroodi Hadi, Mohamed Azah, Shareef Hussain, et al. Performance comparison of MLP and RBF neural networks for fault location in distribution networks with DGs[C]. Proceedings of the IEEE International Conference on Power and Energy, 2010.
[7]  严太山, 崔杜武, 陶永芹. 基于改进遗传算法的配电网故障定位[J]. 高电压技术, 2009, 35(2): 255-259.
[8]  李超文, 何正友, 张海平, 等. 基于二进制粒子群算法的辐射状配电网故障定位[J]. 电力系统保护与控制, 2009, 37(7): 35-39.
[9]  吴宁, 许扬, 陆于平. 分布式发电条件下配电网故障区段定位新算法[J]. 电力系统自动化, 2009, 33(14): 77-82.
[10]  Mei Nian, Shi Dongyuan, Yang Zengli, et al. A practical matrix-based fault location algorithm for complex distribution network[J]. Automation of Electric Power Systems, 2007, 31(10): 66-69.
[11]  苏永智, 潘贞存, 丁磊. 一种复杂配电网快速故障定位算法[J]. 电网技术, 2005, 29(18): 75-78.
[12]  Jiang Xiujie, Xiong Xinyin, Wu Yaowu, et al. Improved matrix algorithm and its application in fault location of distribution network[J]. Power System Technology, 2004, 28(19): 60-63.
[13]  Zayandehroodi Hadi, Mohamed Azah, Shareef Hussain, et al. Determining exact fault location in a distribution network in presence of DGs using RBF neural networks[C]. Proceeding of the IEE International Conference on Information Reuse and Integration, 2009.
[14]  Yan Taishan, Cui Duwu, Tao Yongqin. Fault location for distribution network by improved genetic algorithm[J]. High Voltage Engineering, 2009, 35(2): 255-259.
[15]  郭壮志, 陈波, 刘灿萍, 等. 基于遗传算法的配电网故障定位[J]. 电网技术, 2007, 31(11): 88-92.
[16]  Guo Zhuangzhi, Chen Bo, Liu Canping, et al. Fault location of distribution network based on genetic algorithm[J]. Power System Technology, 2007, 31(11): 88-92.
[17]  Li Chaowen, He Zhengyou, Zhang Haiping, et al. Fault location for radialized distribution networks based on BPSO algorithm[J]. Power System Protection and Control, 2009, 37(7): 35-39.
[18]  陈歆技, 丁同奎, 张钊. 蚁群算法在配电网故障定位中的应用[J]. 电力系统自动化, 2006, 30(5): 74-77.
[19]  Chen Xinji, Ding Tongkui, Zhang Zhao. Ant colony algorithm for solving fault location in distribution networks[J]. Automation of Electric Power Systems, 2006, 30(5): 74-77.
[20]  郭壮志, 吴杰康. 配电网故障区间定位的仿电磁学算法[J]. 中国电机工程学报, 2010, 30(13): 34-40.
[21]  Guo Zhuangzhi, Wu Jiekang. Electro-magnetism-like mechanism based fault section diagnosis for distribution network[J]. Proceedings of the CSEE, 2010, 30(13): 34-40.
[22]  Geem Z W, Kim J H, Loganathan G V. A new heuristic optimization algorithm: harmony search[J]. Simulation, 2001, 76(2): 60-68.
[23]  Mahdavi M, Fesanghary M, Damangir E. An improved harmony search algorithm for solving optimization problems[J]. Applied Mathematics Computation, 2007, 188: 1567-1579.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133