In various practical applications such as harmonic current elimination, reactive power compensation and power factor correction many adaptive filtering techniques are used for control of DSTATCOM (Distribution Static Compensator). This paper presents a comparative study of the performance of two weight updating adaptive algorithm LMS (Least Mean Square) based ADALINE (Adaptive Linear Neural Network) and Fuzzy logic based variable step size LMS used for harmonic current detection using VSC (Voltage Source Converter) based DSTATCOM (Distribution Static Compensator). Simulation results in MATLAB environment show that the convergence speed of fuzzy logic based variable step size LMS is much faster and its performance is better than LMS based Adaline under varying load conditions in DSTATCOM application for power quality improvement.
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Singh et al. (2013) studied this question.
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