...
首页> 外文期刊>International Journal of Computer Aided Engineering and Technology >Multi-objective artificial bee colony-based optimal PMU placement with considering zero injection bus in power network
【24h】

Multi-objective artificial bee colony-based optimal PMU placement with considering zero injection bus in power network

机译:考虑零注入总线的基于多目标人工蜂群的最优PMU布置

获取原文
获取原文并翻译 | 示例
           

摘要

A novel multi-objective discrete artificial bee colony-based optimisation algorithm is proposed for the optimal phasor measurement units placement problem. The proposed algorithm is designed to incorporate a binary mutation step for efficient exploration and exploitation of any undiscovered region in the search space. A fuzzy-based mechanism is used to evaluate the best compromised solution from the final Pareto optimal set obtained by non-dominated sorting and crowding distance mechanism. A combination of two diverse objectives, i.e., minimisation of number of phasor measurement units and maximisation of N - 1 measurement reliability are taken into consideration with complete system observability. The simulation results are obtained both with and without inclusion of the zero injection effect in the observability analysis on IEEE standard systems and are compared with the recently published papers to demonstrate the effectiveness of the proposed algorithm. All the programmes are implemented in standard MATLAB environment version R2010a.
机译:针对最优相量测量单元布置问题,提出了一种基于多目标离散人工蜂群的优化算法。所提出的算法设计为结合一个二进制突变步骤,以有效地探索和利用搜索空间中任何未发现的区域。基于模糊的机制用于从非支配排序和拥挤距离机制获得的最终帕累托最优集合中评估最佳折衷解。结合两个不同的目标,即最小化相量测量单元的数量和最大化N-1个测量的可靠性,以及完整的系统可观察性。在IEEE标准系统的可观察性分析中,无论是否包含零注入效应,都获得了仿真结果,并与最近发表的论文进行了比较,以证明所提出算法的有效性。所有程序均在标准MATLAB环境版本R2010a中实现。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号