Simultaneous Process of Measurements and Parameters Errors in Dynamic State Estimation

The accurate performance of the state estimation (SE) in power systems depends on the correct values of inputs including of measurements and lines parameters. On the other hand، errors occurrence in measurements and lines parameters values is not out of prospect which if these errors are not identified and corrected، inaccuracy estimation of state variables are obtained. In this paper، an efficient and useful method is proposed in dynamic state estimation (DSE) based on filter kalman (KF) that is capable to identify and correct of simultaneous measurements and lines parameters errors in power system. In the proposed method، after the errors identification by normalized residual and Lagrange multipliers vectors، the correct values of erroneous measurements and lines parameters using proposed functions substituted of incorrect values. Finally، the proposed method is applied on IEEE 14-bus test system in various scenarios of errors occurrence and various indexes are presented for evaluation of the proposed algorithm. Simulation results in these scenarios show the very high accuracy and efficiency of the proposed algorithm.