【摘要】 电力系统状态估计作为一种应用软件 ,在整个能量管理系统 ( EMS)中起着非常重要的作用 ,但是经典的估计方法在处理不良的异点时显得无能为力。为了解决这一问题 ,文中在简要分析映射统计概念及原理的基础上 ,用先辨识杠杆点的方法来进行估计 ,从而避免受到在这些点的不良数据的影响。仿真试验结果表明 ,该方法较一般的 WLS状态估计方法在处理不良数据以及收敛性等方面具有更好的效果 ,并且它的算法是对较简单的基于 WLS算法的修改 ,所以很容易实现更多还原

【Abstract】 As an advanced application software, state estimation of power system acts a very important role in the field of energy management system (EMS), but the traditional estimating method is powerless in dealing with bad leverage points. The existence of leverage points is considered to be the cause of the slow convergency or the divergence. In order to resolve this problem, this paper briefly analyzes the concept and principles of projection statistics, then estimates the influence of the bad data in these points using the method of identifying leverage points. The simulation illustrates that this method is superior to the conventional WLS estimation method in dealing with bad data, convergency problem and so on, and its algorithm is retained by modifying that of the simple WLS, so it is very easy to be implemented.更多还原