Evaluating the Impact of Phasor Measurement Units on the Accuracy of State Estimation

Abstract

PMUs are viewed as one of the most vital measurement devices in future of electric grid. PMUs devices can provide synchronized phasor measurement of voltages and currents from broadly scattered areas in an electric power grid. A hybrid Multilayer Perceptron NN-Stochastic Fractal Search (MLP-SFS) algorithm is being proposed in rectangular coordinates to solve hybrid state estimator problem. Hybrid SE is defined based on its measurement set which consists of traditional as well as synchronized measurements. The approach classifies the process into two steps. The first step, Multilayer Perceptron NN is used to compute the initial estimated states. The second step, SFS is implemented to acquire the final estimated states. This hybrid technique is used to improve the accuracy of state estimation. The size of PMUs is gradually increased by adding them to the conventional measurement set. Six cases are tested to show the impact of PMUs on the accuracy. The application of the hybrid technique is illustrated on IEEE 14, 30, and 57-bus systems. The Performance of MLPN-SFS is compared to MLP and SFS individually.