基于P-Q解耦变换的智能电网状态估计算法

针对传统的电力系统状态估计算法存在计算精度低,运算时间成本高的问题,提出了一种基于P-Q解耦变换的电力系统状态估计算法.该算法将支路功率量测、负荷量测与电压电流幅值量测进行解耦.保留解耦后的非线性迭代表达式,得到变换后的功率表达式,并完成状态估计的优化计算. IEEE标准节点系统的测试计算结果表明,所提出的算法能够适用于不同网络拓扑结构的研究,并可以满足计算精度和计算时间的要求.

State estimation algorithm of smart grid based on P-Q decoupling transformation

In order to solve the low computing precision and high cost of computing time in the state estimation algorithm for the traditional power system, a state estimation algorithm of power system based on the P-Q decoupling transformation was proposed. The power measurement, load measurement as well as the voltage and current amplitude measurement were decoupled in the proposed algorithm. In addition, the nonlinear iterative expression after decoupling was retained, the power expression after transformation was obtained, and the optimization computing of state estimation was completed. The test and computing results of IEEE standard node system show that the proposed algorithm can be applied to the research of different network topological structures, and can meet the requirements for computing precision and time.