A discrete chaotic harmony search-based simulated annealing algorithm for optimum design of PV/wind hybrid system

• Published in: Solar energy Vol. 97; pp. 93 - 101
• Main Author: Askarzadeh, Alireza
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01.11.2013; Elsevier; Pergamon Press Inc
• Subjects: Applied sciences; Chaotic search; Direct energy conversion and energy accumulation; Electrical engineering. Electrical power engineering; Electrical power engineering; Energy; Equipments, installations and applications; Exact sciences and technology; Harmony search; Natural energy; Optimization algorithms; Photoelectric conversion; Photovoltaic conversion; PV/wind hybrid system design; Simulated annealing; Simulation; Solar cells. Photoelectrochemical cells; Solar energy; Turbines; Wind energy; Chaotic search; Harmony search; PV/wind hybrid system design; Simulated annealing; Chaos; Performance evaluation; Costs; Photovoltaic system; System design; Secondary cell; Wind generator; Algorithm; Optimization; Optimal design; Hybrid system; Dimensioning; Photovoltaic array; System simulation
• ISSN: 0038-092X; 1471-1257
• DOI: 10.1016/j.solener.2013.08.014

•A new discrete methodology is used for optimum sizing of PV/wind hybrid system.•The proposed methodology (DCHSSA) is based on simulated annealing algorithm.•DCHSSA merges chaotic search, harmony search and simulated annealing.•DCHSSA yields promising results for the optimum sizing problem. Optimum design of PV/wind hybrid system has become the main focus of many investigations. The ultimate aim of the optimum design is to determine the number of PV panels, wind turbines and batteries so that the total annual cost of the hybrid system subject to some constraints is minimized. The main motivation of this study is to develop a simple but efficient discrete optimization methodology for solving the optimum sizing problem. For this aim, the advantages of three well-known algorithms, namely, chaotic search (CS), harmony search (HS) and simulated annealing (SA), are merged and a novel discrete chaotic harmony search-based simulated annealing algorithm, named DCHSSA, is developed. The proposed methodology is used to find the optimum design of a PV/wind hybrid system. Simulation results indicate the superior performance of the DCHSSA algorithm.