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Computing static state of linear electrical networks using iteratively weighted least squares algorithm

机译:使用迭代加权最小二乘算法计算线性电网的静态状态

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In this paper a new approach for static state estimation of linear DC circuits using iteratively weighted least squares algorithm is discussed. Three cases of erroneous meter readings while measuring currents and voltage in a simple voltage divider circuit are considered for illustration. Large size of electrical networks limits the number measurements available for state estimation. With limited real time measurements and most of the times with pseudo-measurements usually with large error margins are often used instead. This work highlights the method of processing measurement errors in estimating the static state of a linear DC electrical network. The work also highlights the importance of having accurate physical topology modeling of the network and to have known standard reference to estimate magnitude of errors and identify faulty meters. With increase in non-technical losses in T&D systems there is ever increasing chance of technical losses, state estimation can be a very useful tool in minimizing both technical and non-technical losses in the T&D process.
机译:在本文中用于使用迭代加权最小二乘算法线性直流电路的静态状态估计的新方法进行了讨论。错误表的读数的三种情况下,而在一个简单的分压器电路测量的电流和电压被认为用于说明。电网络的大尺寸限制了可用于状态估计数的测量。有限的实时测量和大部分的时间与大的误差范围的伪测量通常经常代替。这项工作亮点在估计的静止状态的线性DC电网络中处理的测量误差的方法。这项工作还突出了其准确的物理拓扑网络的建模和已经知道了标准的引用而估计误差的大小和确定故障米的重要性。随着中有不断增加的技术机会的损失T&d系统非技术性损失增加,状态估计可在最大限度地减少在T&d工艺技术和非技术性损失非常有用的工具。

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