A TWO-STAGE NEURAL NETWORK POWER SYSTEM STATE ESTIMATOR

摘要

Power System State Estimation (PSSE) is a technique for calculating reliable and accurate estimates for system states (complex bus voltages) from unreliable and inaccurate measurements of bus voltage magnitudes, line power flows, bus power injections, and so on. In this paper, the State Estimation/Bad Data Detection and Identification (SE/BDDI) process is conducted via a two-stage (cascaded) Neural Network (NN).