A new control algorithm for power quality improvement in a stand-alone synchronous reluctance generator with energy storage

Abstract

This article presents an adaptive control algorithm for power quality enhancement of a synchronous reluctance generator based stand-alone generator system with a battery energy storage system by employing the compensation capabilities of a voltage source converter. The proposed synchronous reluctance generator system is implemented using a 3.75-kW synchronous reluctance generator, a voltage source converter with a battery support, and a digital signal processor. The control algorithm is used for estimation of reference currents keeping in view the limited rating of the voltage source converter. A modified leaky least mean square algorithm using a variable-step–variable-weight factor is proposed for the control. The variable-step–variable-weight least mean square algorithm decomposes the load currents, extracts its real positive-sequence component to track the unit vectors by varying the rate of convergence of the algorithm, and accordingly tunes the weights, thus enabling selective compensation. The proposed control algorithm offers satisfactory harmonics mitigation, compensation of reactive power demand, and load balancing of a stand-alone synchronous reluctance generator system under linear/non-linear and dynamic loads.