Hybrid PV Wind Battery Optimal Sizing using Horse-Herd Optimization

Abstract

Hybrid systems are evaluated primarily on GHG reduction reliability and cost of their system. It was decided that a rural Indian village would benefit from a grid-connected hybrid PV/WT battery system, the main objective of this investigation was to find the most cost-effective sizing of the parts for non-conventional energy-based hybrid systems. Maximizing the NCEF of the system was employed as the third fitness function to accomplish this aim by using the horse herd optimization approach to minimize two other objective functions, COE and LPSP while maximizing the system's NCEF. Three scenarios were given in this report to investigate how a proposed hybrid system and the grid's capacity to sell or purchase energy from each other would affect the interplay between the two. Economically optimum solution (lowest COE), renewable energy utilization viewpoint (highest NCEF) and ecologically ideal option (lowest COE) were the three views of horse herd optimization outcomes and the overall system is simulated and tested in MATLAB/Simulink.