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...

基于粒子群优化算法的电压暂降监测点优化配置

, PP. 181-187

Keywords: 电压暂降,监测点,解析式法,可观测矩阵,优化配置,粒子群优化,罚函数

Full-Text   Cite this paper   Add to My Lib

Abstract:

为实现全网电压暂降故障点的可监测性,提出一种应用粒子群优化(PSO)算法对全网电压暂降监测点进行优化配置的方法。首先利用解析式法原理,通过线路临界故障点确定可观测区域,构建出各种短路故障情况下系统的电压暂降可观测矩阵,然后以监测点数目最少为目标函数,以全网各节点电压满足完全可观测为约束条件,建立电压暂降监测点优化配置的0-1线性规划模型。结合罚函数思想应用PSO算法进行优化求解,并综合考虑配置节点的优先级最终确定最优配置方案。通过对IEEE39节点标准测试系统的仿真计算证明了该方法的有效性。

References

[1]  肖湘宁. 电能质量分析与控制[M]. 北京: 中国电力出版社, 2004.
[2]  肖先勇, 马超, 杨洪耕, 等. 用电压暂降严重程度和最大熵评估负荷电压暂降敏感度[J]. 中国电机工程学报, 2009, 29(31): 115-121.
[3]  Xiao Xianyong, Ma Chao, Yang Honggeng, et al. Stochastic estimation of equipment sensitivity to voltage sag based on voltage sag severity index and maximum entropy principle[J]. Proceedings of the CSEE, 2009, 29(31): 115-121.
[4]  刘兵, 李群湛. 电能质量监测装置的优化配置[J]. 电力系统及其自动化学报, 2009, 21(6): 69-73.
[5]  Liu Bing, Li Qunzhan. Optimum allocation of the power quality monitors[J]. Proceedings of the CSU-EPSA, 2009, 21(6): 69-73.
[6]  Eldery M A, El-Saadany E F, Salama M M A, et al. A novel power qualitymonitoring allocation algorithm [J]. IEEE Transactions on Power Delivery, 2006, 21(2): 768-777.
[7]  Olguin G, Bollen M H J. An optimal monitoring program for obtaining voltage sag system indexes[J]. IEEE Transactions on Power System, 2006, 21(1): 378-384.
[8]  吕伟. 基于凹陷域分析的电压暂降监测点优化配置研究[D]. 济南: 山东大学电气工程学院, 2011.
[9]  杨维, 李歧强. 粒子群优化算法综述[J]. 中国工程科学, 2004, 6(5): 87-94.
[10]  Yang Wei, Li Qiqiang. Survey on particle swarm optimization agorithm[J]. Engineering Science, 2004, 6(5): 87-94.
[11]  袁晓辉, 王乘, 张传勇, 等. 粒子群优化算法在电力系统中的应用[J]. 电网技术, 2004, 28(19): 14-19.
[12]  Yuan Xiaohui, Wang Cheng, Zhang Chuanyong, et al. A survey on application of particle swarm optimization to electric power system[J]. Power System Technology, 2004, 28(19): 14-19.
[13]  Elisa E J, Araceli H. An analytical approach for stochastic assessment of balanced and unbalanced voltage sags in large systems[J]. IEEE Transactions on Poweractions Delivery, 2006, 21(3): 1493-1500.
[14]  常学飞, 田立军, 秦英林. 一种精确确定电压暂降凹陷域的算法[J]. 电力自动化设备, 2011, 31(4): 64-68.
[15]  Chang Xuefei, Tian Lijun, Qin Yinglin. A new method to accurately determine areas of vulnerability for stochastic prediction of voltage sags[J]. Electric Power Automation Equipment, 2011, 31(4): 64-68.
[16]  肖先勇, 陈卫东, 杨洪耕, 等. 以用户满意度区间数为测度的电压暂降频次评估[J]. 中国电机工程学报, 2010, 30(16): 104-110.
[17]  Xiao Xianyong, Chen Weidong, Yang Honggeng, et al. Voltage sag frequency assessment under the measure of interval data of customer satisfaction[J]. Proceedings of the CSEE, 2010, 30(16): 104-110.
[18]  陈铁敏, 杨洪耕. 基于改进故障点法的电压凹陷评估[J]. 电力自动化设备, 2008, 28(6): 66-70.
[19]  Chen Tiemin, Yang Honggeng. Assessment of voltage sag based on improved fault positions method[J]. Electric Power Automation Equipment, 2008, 28(6): 66-70.
[20]  周林, 吴红春, 孟婧, 等. 电压暂降分析方法研究[J]. 高电压技术, 2008, 34(5): 1010-1016.
[21]  Zhou Lin, Wu Hongchun, Meng Jing, et al. Study of the voltage sag analysis methods[J]. High Voltage Engineering, 2008, 34(5): 1010-1016.
[22]  高岳林, 雷翻翻, 李会荣. 一个解非线性0-1整数规划问题基于罚函数的混合粒子群优化算法[J]. 运筹学学报, 2010, 14(2): 37-44.
[23]  Gao Yuelin, Lei Fanfan, Li Huirong. A hybrid PSO algorithm based on penalty function for solving zero-one nonlinear programming problems[J]. Operations Research Transactions, 2010, 14(2): 37-44.
[24]  代晓倩, 杨洪耕, 蔡维. 一种考虑电压暂降分布域的电能质量监测仪的优化配置方法[J]. 电力科学与工程, 2011, 27(2): 6-12.
[25]  Dai Xiaoqian, Yang Honggeng, Cai Wei. One optimum allocation method of power quality monitor by considering exposed area[J]. Electric Power Science and Engineering, 2011, 27(2): 6-12.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133