Optimum Design of a Hybrid PV/Wind Energy System Using Genetic Algorithm (GA)

Abstract

-In this paper, a new approach of optimum design for a Hybrid PV/Wind energy system is presented in order to assist the designers to take into consideration both the economic and ecological aspects. When the stand alone energy system having photovoltaic panels only or wind turbine only are compared with the hybrid PV/wind energy systems, the hybrid systems are more economical and reliable according to climate changes. This paper presents an optimization technique to design the hybrid PV/wind system. The hybrid system consists of photovoltaic panels, wind turbines and storage batteries. Genetic Algorithm (GA) optimization technique is utilized to minimize the formulated objective function, i.e. total cost which includes initial costs, yearly replacement cost, yearly operating costs and maintenance costs and salvage value of the proposed hybrid system. A computer program is designed, using MATLAB code to formulate the optimization problem by computing the coefficients of the objective function. The method mentioned in this article is proved to be effective using an example of hybrid energy system. Finally, the optimal solution is received using Genetic Algorithm (GA) optimization method.

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“…The comparison analysis of cost and power loss has been described in Figure . The total cost and power loss of the proposed system are compared with the existing systems as Improved Bee Algorithm (IBA), Genetic Algorithm (GA), and Teaching‐Learning Based Optimization (TLBO) . The total cost and power loss of the proposed system are compared with the Canary Islands.…”

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