A Comparative analysis of DSM based autonomous hybrid microgrid using PSO and SCA

This work deliberates a comparative study on the power coordination of an autonomous hybrid microgrid system with controllable loads for demand-side management with SCA (Sine-Cosine Algorithm) and PSO (Particle swarm optimization). The microgrid includes solar photo-voltaic arrays and wind generator based renewable units, Diesel generator along with some controllable loads like Heat-pumps, Hybrid electric vehicles, and Freezers for demand-side management. The linearized model of the proposed hybrid microgrid is designed and simulated in MATLAB/Simulink considering all the controllable and the critical loads. The responses of the system are studied under the specific source and load variations to validate the system robustness using PID controllers tuned with popular PSO and the recent SCA. The performances of SCA based system responses are found superior in comparison to PSO in most of the scenarios and reported.