Knacks of Fractional Order Swarming Intelligence for Parameter Estimation of Harmonics in Electrical Systems

The efficient parameter estimation of harmonics is required to effectively design filters mitigate their adverse effects on the power quality electrical systems. In this study, a fractional order swarming optimization technique proposed for normally present in industrial loads. particle swarm (FOPSO) estimates amplitude and phase parameters corresponding first, third, fifth, seventh eleventh harmonics. performance FOPSO was evaluated ten orders with noiseless noisy scenarios. robustness efficiency analyzed by considering different levels additive white Gaussian noise harmonic signal. Monte Carlo simulations confirmed reliability lower (? = 0.1) faster convergence rate no divergent run compared other as well standard PSO 1).