%0 Journal Article
%T Non-dominated sorting differential evolution algorithm for multi-objective optimal PMU placement<br>求解PMU多目标优化配置问题的非劣排序微分进化算法
%A Peng Chunhu
%A SUN Hui-juan
%A GUO Jian-feng
%A <br>彭春华
%A 孙惠娟
%A 郭剑峰
%J 控制理论与应用
%D 2009
%I 
%X For a power grid to be completely observable when employing a minimal number of placed phasor measurement units(PMU) to achieve the highest reliability of the N-1 measurements, we propose a new hybrid algorithm to optimize this PMU multi-objective placement problem. In this algorithm, the Pareto non-dominated sorting mechanism is integrated with the differential evolution algorithm; meanwhile the individual crowding mechanism and the mutation strategy are improved to cope with the premature convergence and the search bias. Moreover, fuzzy set theory is employed to extract the best compromise non-dominated solution. Both the Pareto-optimal solution and the desired Pareto front can be rapidly found by the proposed algorithm. This is demonstrated by the results in the application to the IEEE 39-bus systems.
%K multi-objective optimization
%K PMU placement
%K non-dominated sorting
%K differential evolution
%K fuzzy set<br>多目标优化
%K PMU配置
%K 非劣排序
%K 微分进化
%K 模糊集
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=5B25E61B54FB0F0B5130BADBF782E6DE&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=F3090AE9B60B7ED1&sid=6A12B9FCEF71AE29&eid=4AB97D697AC3192E&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=12