Document Type : Original Article


Georgia Institute of Technology, 801 Ferst Drive, Atlanta, GA 30332, USA



This paper presents an optimal size selection of a hybrid renewable PV/DG/Battery system in a remote area in Maowusu Desert, China. The idea is to select optimal numbers of PV panels, DGs, and battery storage units by minimizing of the total annual cost of the hybrid system. The optimization of the problem is performed based on a new improved version of Mayfly Algorithm (IMA) which is introduced for improving the effectiveness of the optimization in terms of accuracy, convergence, and consistency. Simulation results of the suggested algorithm are compared with some different optimization algorithm to show the prominence of the method. The proposed method shows that the optimal numbers for the optimized system includes 28 PV panels, 88 battery units, and 1 DG unit. Final results show that utilizing the suggested hybrid system gives the best minimum operational cost of the system compared with others. 


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