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作 者:汪成根[1] 张保会[1] 李鹏[1] 舒进[1] 程临燕[1] 谢欢[1] 于广亮[1] 郝治国[1]
出 处:《西安交通大学学报》2009年第2期90-95,共6页Journal of Xi'an Jiaotong University
基 金:国家自然科学基金资助重大项目(50595413)
摘 要:当遭受大干扰电力系统的失稳模式确定后,针对快速寻找该失稳模式下的解列面的关键问题,提出了电力系统解列面快速搜索的多级收缩图分割算法.该算法将电力系统表示为有向加权图,其优化目标为解列后各孤岛内发电机和负荷不平衡尽可能小.算法具有时间复杂度小、计算速度快的特点.基于C++语言编制了算法程序,对某省网212节点系统进行了解列面搜索仿真计算,解列程序在普通的计算机上找到合适的解列面只需要20 ms,满足自适应解列的快速性要求.Self-adaptive system islanding refers to the separation of an interconnected power system into electrically isolated islands automatically based on the identification of unstable mode. A fast searching algorithm for self-adaptive power system islanding, called multilevel reduced graph partitioning algorithm (MLRGPA), is presented to make the generation load imbalance in each island as small as possible. A reasonable islanding strategy of power system is proposed, and a C++ program is developed to realize the algorithm. The islanding program is verified with the simulations for a practical 212-bus power system. It takes only 20 ms to get a reasonable islanding strategy on an ordinary PC to satisfy the rate requirement of self-adaptive system islanding.
分 类 号:TM732[电气工程—电力系统及自动化]
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