Optimal design of photovoltaic-wind hybrid renewable energy system using a discrete geometric selective harmony search

Photovoltaic (PV) and wind energies are renewable and clean, which can be alternative to fossil fuels. The PV/wind hybrid system optimal design problem is the hot topic nowadays. The aim of the optimal design is to develop an independent energy supply system with minimum total annual cost and loss power supply probability by determining the number of PV panels, wind turbines and backup batteries. This paper presents a discrete geometric selective harmony search (DGSHS) algorithm combined with Deb´s constraint handling technique to tackle this problem. Optimal design under different requirements are investigated in this study and DGSHS are compared with 3 previous methods, namely discrete harmony search(DHS), discrete harmony search -based simulated annealing (DHSSA) and discrete chaotic harmony search-based simulated annealing (DCHSSA). The simulation results validate the superior performance of the DGSHS algorithm.