Size optimization for hybrid photovoltaic–wind energy system using ant colony optimization for continuous domains based integer programming |
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| Affiliation: | 1. Department of Electrical Engineering, Behbahan Branch, Islamic Azad University, Behbahan, Iran;2. Department of Mechanical Engineering, Behbahan Branch, Islamic Azad University, Behbahan, Iran;2. Faculty of Organizational Sciences (FOS), University of Belgrade, Belgrade, Serbia;3. Shools of Education and Informatics, University of Edinburgh, Edinburgh, Scotland, United Kingdom;1. Department of Electrical and Computer Engineering, National University of Singapore, 117583 Singapore, Singapore;2. Solar Energy Research Institute of Singapore, National University of Singapore, 117574 Singapore, Singapore;1. Mechanical Engineering Dep., National Research Centre (NRC), Egypt;2. Mechanical Engineering Dep., Shoubra Faculty of Engineering, Banha University, Egypt;1. Department of Renewable Energies, Faculty of New Science & Technologies, University of Tehran, Tehran, Iran;2. Department of Energy Management and Optimization, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran;3. Department Mechanical Engineering, Shahid Bahonar University, Kerman, Iran |
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| Abstract: | In this paper, ant colony optimization for continuous domains (ACOR) based integer programming is employed for size optimization in a hybrid photovoltaic (PV)–wind energy system. ACOR is a direct extension of ant colony optimization (ACO). Also, it is the significant ant-based algorithm for continuous optimization. In this setting, the variables are first considered as real then rounded in each step of iteration. The number of solar panels, wind turbines and batteries are selected as decision variables of integer programming problem. The objective function of the PV–wind system design is the total design cost which is the sum of total capital cost and total maintenance cost that should be minimized. The optimization is separately performed for three renewable energy systems including hybrid systems, solar stand alone and wind stand alone. A complete data set, a regular optimization formulation and ACOR based integer programming are the main features of this paper. The optimization results showed that this method gives the best results just in few seconds. Also, the results are compared with other artificial intelligent (AI) approaches and a conventional optimization method. Moreover, the results are very promising and prove that the authors’ proposed approach outperforms them in terms of reaching an optimal solution and speed. |
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| Keywords: | Ant colony optimization for continuous domains Complete data set Integer programming Hybrid photovoltaic–wind energy system |
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