Novel meta-Heuristic Optimization Based Switching Angles Tuning for Improving Power Quality Parameters in Capacitor Run Induction Motor

16 Dec

Novel meta-Heuristic Optimization Based Switching Angles Tuning for Improving Power Quality Parameters in Capacitor Run Induction Motor

Authors- N.Murali, M.Annamalai, S.Gobi Mohan, R.Vidhya Prakash

Abstract-Industry incorporates CRIM based VVC to reduce the power quality deterioration under variable speed control operation. To sustain the minimal power quality deterioration in the VVC power electronics system, a bio-inspired meta-heuristic algorithm called Sperm Swarm Optimization (SSO) algorithm is proposed to tune the switching instants. To obtain the optimal gain for the switching instants, the VVC system adjusts the CRIM to operate at better power quality. The SSO algorithm inspires human anatomy based swarm techniques to improve the VVC performance by enhancing the power quality parameters. The effectiveness of the proposed algorithm for the VVC system applied to CRIM is verified with the MATLAB Simulink model. The proposed SSO algorithm achieves a better total harmonic distortion below the IEEE standard limits under different load conditions. The proposed algorithm provides the good power quality and better speed control comparable to other optimization algorithms.

DOI: /10.61463/ijset.vol.12.issue6.368