Multi-objective optimal design of hybrid renewable energy systems using PSO-simulation based approach |
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| Affiliation: | 1. Department of Mechanical Engineering, University of Manitoba, Winnipeg, MB R3T 5V6, Canada;2. Department of Mechanical and Industrial Engineering, Qatar University, P.O. Box 2713, Doha, Qatar;1. Department of Energy Management and Optimization, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran;2. Industrial and Systems Engineering Graduate Program, Pontifical Catholic University of Parana, Curitiba, PR, Brazil;3. Department of Electrical Engineering, Federal University of Parana, Curitiba, PR, Brazil;1. Department of Electrical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia;2. Center of Research in Applied Electronics (CRAE), Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia;3. Electrical Engineering Department, Palestine Technical University-Kadoorie, Tulkarm, Palestine;4. Faculty of Electrical and Computer Engineering, University of Tehran, Tehran, Iran;5. Department of Mechanical Engineering, Universiti Tenaga Nasional, 43000 Kajang, Selangor, Malaysia;6. Department of Mechanical Engineering, Syiah Kuala University, Banda Aceh 23111, Indonesia;1. Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, Taiwan;2. Advanced Research Institute, Institute for Information Industry, Taipei, Taiwan |
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| Abstract: | Recently, the increasing energy demand has caused dramatic consumption of fossil fuels and unavoidable raising energy prices. Moreover, environmental effect of fossil fuel led to the need of using renewable energy (RE) to meet the rising energy demand. Unpredictability and the high cost of the renewable energy technologies are the main challenges of renewable energy usage. In this context, the integration of renewable energy sources to meet the energy demand of a given area is a promising scenario to overcome the RE challenges. In this study, a novel approach is proposed for optimal design of hybrid renewable energy systems (HRES) including various generators and storage devices. The ε-constraint method has been applied to minimize simultaneously the total cost of the system, unmet load, and fuel emission. A particle swarm optimization (PSO)-simulation based approach has been used to tackle the multi-objective optimization problem. The proposed approach has been tested on a case study of an HRES system that includes wind turbine, photovoltaic (PV) panels, diesel generator, batteries, fuel cell (FC), electrolyzer and hydrogen tank. Finally, a sensitivity analysis study is performed to study the sensibility of different parameters to the developed model. |
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| Keywords: | Hybrid renewable energy systems Optimization PSO Simulation |
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