摘要
文章主要阐述了如何实现电力系统中PMU的优化配置。在WSCC9节点系统和IEEE14节点系统中分别运用最小生成树(Kruskal)算法、广度优先搜索算法和禁忌搜索算法进行仿真。通过对仿真结果产生的测量的冗余度和PMU的利用率以及PMU数量等方面的比较,得出禁忌搜索算法最适合于PMU的优化配置的结论。
This paper describes how to optimize the power system in the PMU configuration. In WSCC9 node system and IEEE14-bus system, the minimum spanning tree（Kruskal） algorithm, breadth-first search algorithm and Tabu search algorithms can be used for the simulation. Through the simulation results of the measurement redundancy the number of PMU and the PMU utilization and other aspects of comparison, the Tabu search algorithm is the most suitable for the optimal allocation of PMU＇s conclusions.
出处
《计算机与数字工程》
2011年第9期37-40,共4页
Computer & Digital Engineering
关键词
优化配置
最小生成树算法
广度优先搜索算法
禁忌搜索算法
PMU optimal allocation, kruskal algorithm, breadth-first search algorithm, tabu search algorithm
