Optimisation of solar and wind energy systems: a survey

Abstract

In the last decade, the penetration of renewable energy sources (RESs) for energy generation has increased. Because of their several technical and environmental benefits, solar and wind energy systems are the major RESs that are being increasingly employed for different aims. In solar and wind energy systems, there are a variety of optimisation problems which are non-linear and non-convex in nature. Study of the literature shows that among the meta-heuristic techniques, genetic algorithm (GA) and particle swarm optimisation (PSO) are highly used to solve different optimisation problems of solar and wind energy systems. The main goal of this paper is to review different applications of GA and PSO in solar and wind energy systems. This review will enable the researchers to study the present status of different solar and wind optimisation problems and plan for future investigations.