一种新的分布式电力系统状态估计算法

A new algorithm for the distributed state estimation of power systems

随着电力系统的发展,区域电网互联,形成了规模更大的系统。为了适应这一趋势,电力系统状态估计应采用分布式算法。在配置少量PMU的基础上,将分区后的边界等式约束条件通过拉格朗日乘子计入整体目标函数,将分布式状态估计的问题转化为一个带等式约束的最优化问题,实现了电力系统状态估计的分布式计算。该算法不仅提高了状态估计的速度,而且可在不必改动原有状态估计模块的基础上,很容易地加入等式约束的修正模块。最后通过IEEE14节点和IEEE30节点系统的模拟仿真,验证了该算法的有效性和优越性。

With the development of power system, power networks have become very large through interconnected local networks. The distributed parallel state estimation algorithm of power systems is used to accommodate to this development. In the paper, equality constraints after networks distributed are included into objective function with Lagrange multiplier based on PMUs, so the problem of the distributed state estimation is changed into optimization problem with equality constraints, realized the distributed parallel state estimation algorithm of power systems indeed. This algorithm not only improves the calculating speed of state estimation, but also can easy add equality constraints into the conventional state estimation program without changing the mode of state estimation. At last, the results of IEEE14 and IEEE30 test systems demonstrates its advantage.