Multi-objective optimization of the hybrid wind/solar/fuel cell distributed generation system using Hammersley Sequence Sampling |
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| Affiliation: | 1. Key Laboratory of Low-grade Energy Utilization Technologies and Systems, Chongqing University, Ministry of Education, Chongqing 400030, PR China;2. College of Power Engineering, Chongqing University, Chongqing 400030, PR China;1. Department of Chemistry, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, 45137-66731, Iran;2. Center of Climate Change and Global Warming, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, 45137-66731, Iran;3. Department of Chemistry, University of Connecticut, 55 North Eagleville Road, Unit 3060, Storrs, CT, 06269-3060, USA;4. Young Researchers and Elite Club, Shiraz Branch, Islamic Azad University, Shiraz, Iran;5. Institute of Materials Science, University of Connecticut, 97 North Eagleville Road, Storrs, CT, 06269-3136, USA;6. Department of Materials Science and Engineering, University of Connecticut, 97 North Eagleville Road, Storrs, CT, 06269-3136, USA;1. Department of Chemistry, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, 45137-66731, Iran;2. Center of Climate Change and Global Warming, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, 45137-66731, Iran;3. Department of Chemistry, Faculty of Science, University of Maragheh, Golshahr, P.O. Box. 55181-83111731, Maragheh, Iran;1. Institute of Basic Biological Problems, RAS, Pushchino, Moscow Region, 142290, Russia;2. Research Institute for Photobiological Hydrogen Production, Kanagawa University, Hiratsuka, Japan;1. College of Chemistry and Chemical Engineering, Taiyuan University of Technology, Taiyuan 030024, China;2. State Key Laboratory Breeding Base of Coal Science and Technology, Taiyuan University of Technology, Taiyuan 030024, China;3. Saiding Engineering Co., Ltd., Taiyuan 030024, China;1. Department of Chemistry, Sogang University, Seoul 121-742, South Korea;2. Korea Center for Artificial Photosynthesis, Sogang University, Seoul 121-742, South Korea;3. Department of Chemistry, School of Advanced Sciences, VIT University, Vellore 632014, India |
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| Abstract: | As the development of China's economy, environmental problems in China become more and more serious. Solar energy and wind energy are considered as ones of the best choices to solve the environmental problems in China and the hybrid wind/solar distributed generation (DG) system has received increasing attention recently. However, the instability and intermittency of the wind and solar energy throw a huge challenge on designing of the hybrid system. In order to ensure the continuous and stable power supply, optimal unit sizing of the hybrid wind/solar DG system should be taken into consideration in the design of the hybrid system. This paper establishes a multi-objective optimization framework based on cost, electricity efficiency and energy supply reliability models of the hybrid DG system, which is composed of wind, solar and fuel cell generation systems. Detailed models of each unit for the hybrid wind/solar/fuel cell system were established. Advanced ε-constraints method based on Hammersley Sequence Sampling was employed in the multi-objective optimization of the hybrid DG system. The approximate Pareto surface of the multi-objective optimization problems with a range of possible design solutions and a logical procedure for searching the global optimum solution for decision makers were presented. In this way, this work provided an efficient method for decision makers in the design of the hybrid wind/solar/fuel cell system. |
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| Keywords: | Distributed generation system Wind/solar/fuel cell hybrid system Multi-objective optimization Hammersley Sequence Sampling |
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