Performance evaluation of a new Kalman filter based least mean square algorithm for power quality improvement

Abstract

This paper discusses an innovative control strategy for controlling distribution static compensator (DSTATCOM) in a three-phase; three-wire distribution network. It is based on the combination of Kalman filtering (KF) and least mean square (LMS) algorithm for closed loop control. It incorporates the simplicity of the LMS algorithm and the advantages of Kalman filtering. The learning rate for LMS algorithm is governed by Kalman gain (K _k ). The control algorithm is simulated in MATLAB Simulink and hardware results are taken on a prototype developed in the laboratory using dSPACE 1104. The results are verified for several power quality improvement features such as power factor correction (PFC); harmonic reduction and load balancing.