Abstract
This paper addresses the compensation of power quality problems such as balancing of load, compensation of neutral current, and distortions of the load current in a wind-based renewable energy system working at an isolated location for small consumers. For this purpose, an adaptive theory based momentum least mean square (MLMS) algorithm is used to operate the voltage source converter, which enhances the power quality in the system. This control is also responsible for keeping constant frequency and voltage at the point of common interface under mechanical and electrical transients. In addition, the reactive power is also compensated. The MLMS is a modified control of basic LMS that utilizes the past gradient information to reach improved adaptation performance instead of using its current value. This control has removed the drawback of LMS algorithms such as weight convergence dependence on the selection of the step size parameter. Moreover, it is observed that with inputs having high noise components, the MLMS algorithm performs better. Therefore, the application of the proposed control seems better in wind-based power generation where the input conditions are uncertain. The entire setup is developed in MATLAB/SIMULINK as well as tested in a real-time implementation. The performance results are observed to be effective.
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