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Sizing Optimization of a Stand-Alone PV/Wind Power Supply System with Hybrid Energy Storage

This study proposes a new technique for optimization of the size of multi-sources (Solar/Wind Turbine) power system in addition to the energy storage systems. The modelling of the various energy sources(ESS) and the ESS making the integrated system was discussed so that the problem of size Optimisation can be implemented properly. The objective of problem formulation was minimization of loss of power supply probability (LPSP) of the demand, besides that cost minimization was another goal. It was basically multi-objective problem which has been resolved by using Genetic algorithm and advanced version of it like genetic algorithm sorting II. To achieve reliable system different LPSP cases has been considered. The obtained results show that the LPSP as well as the cost of generation was minimum. To check the effectiveness of the used algorithm, the result has been compared with the results obtained by MOPSO (Multi-Objective Particle Swarm Optimisation) Technique.