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Implementation of the power system weighted least absolute value state estimator using an improved l/sub 1/ linear approximation algorithm

机译:使用改进的L / Sub 1 /线性近似算法实现电力系统加权最小绝对值状态估计器

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Power system states can be estimated using the weighted least absolute value (WLAV) estimation technique. The estimation procedure is carried out iteratively by solving an l/sub 1/-linear approximation problem at each iteration. While the approximation problem can be solved by the standard simplex method, the special structure of the system equations makes further improvements in the algorithm possible. Such a procedure is developed using an algorithm originally suggested by L. Barrodale and F.D.K. Roberts (1973). The adaptation of this algorithm to the solution of the power system states in a WLAV estimator is carried out, and the problem size is considerably reduced, exploiting the characteristics of the measurement equations. Implementation details of the developed program together with some numerical results of running it on realistic size power systems are presented.
机译:可以使用加权最小绝对值(WLAV)估计技术来估计电力系统状态。通过在每次迭代中求解1 / sub 1 /线性近似问题来迭代执行估算过程。虽然可以通过标准单纯形法解决近似问题,但系统方程的特殊结构使算法有可能进一步改进。这种程序是使用最初由L.Barrodale和F.D.K.提出的算法开发的。罗伯茨(1973)。利用测量方程的特征,对该算法进行了适应WLAV估计器中的电力系统状态的求解,并且问题的大小大大减小了。介绍了已开发程序的实现细节,以及在实际大小的电源系统上运行该程序的一些数值结果。

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