Optimisation of hybrid renewable energy system using iterative filter selection approach

Abstract

This study presents a hybrid renewable energy system that yields minimum total project cost and maximum reliability. The system is in modular configuration consisting of photovoltaic (PV) array, wind turbine, battery storage, AC load and a dump load. Also, the minimisation of unutilised surplus power is taken into consideration as one of the design objectives. In this study, a new technique named iterative filter selection approach is used in designing the hybrid PV-wind turbine-battery system to obtain the best acceptable solution while considering all the design objectives. The system is then justified by comparing with iterative-Pareto-fuzzy and particle swarm optimisation techniques. The technique is found to be superior in terms of total project cost with satisfaction to the load demand. The method is simulated using MATLAB and the results are presented in the study with proper discussion.