黄姝雅;刘天琪;陈绩;

• 1:四川大学电气信息学院
• 2:四川大学电气信息学院
• 3:四川大学电气信息学院 四川省成都市610065
• 4:四川省成都市610065

摘要(Abstract)：

以提高动态状态估计精度为目标,采用离散粒子群优化(discreteparticleswarmoptimization,DPSO)算法对同步相量测量单元(phsormeasurementunit,PMU)的配置点进行优化。该方法克服了传统解析优化方法难以适应不连续目标函数和不连通约束域等情况的缺点,同时,在配置有限PMU的情况下使PMU量测量发挥最大效益。最后对基于扩展Kalman滤波算法的动态状态估计模型进行仿真,证明了经DPSO优化后的配置与随机配置相比最大可能地利用了PMU的高精度量测信息,充分发挥了PMU量测的优点,大大提高了动态状态估计的精度。

关键词(KeyWords)： 相量测量单元(PMU);动态状态估计;离散粒子群优化算法;配置;电力系统

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金资助项目(50595412)。~~

作者(Author): 黄姝雅;刘天琪;陈绩;

Email:

DOI:

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