Sizing Of A Hybrid (Photovoltaic/Wind) Pumping Systembased On Metaheuristic Optimization Methods

Abstract

The energy future must be focused on clean and renewable energies. Sizing is an indispensable step in the optimization of renewable energy systems because of their intermittent nature. In this context, the research work presented focuses on the development of a methodology for analysis and technical-economic evaluation carried out for a hybrid (PV/wind) system where the results are compared and discussed. Two models describe this methodology; the reliability model developed using the Loss of Power Supply Probability Concept and the Life Cycle Cost Model. As the proposed optimization problem is strongly nonlinear, to solve it we opt for the use of metaheuristic methods. In order to achieve our goal, we proposed four optimization algorithms namely: BAT Algorithm, Cuckoo Search Algorithm, FireFIy Algorithm, and Flower Pollination Algorithm. A case study is conducted to analyze a hybrid water pumping system to supply in water a habitation, located in the site of Ghardaia, south of Algeria. The results of the simulation relating to the different configurations of the system and their corresponding costs are promptly presented.