Optimum layout design of onshore wind farms considering stochastic loading |
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| Affiliation: | 1. Institute of Structural Analysis & Antiseismic Research, Department of Structural Engineering, School of Civil Engineering, National Technical University of Athens, 9, Iroon Polytechniou Str., Zografou Campus, GR-15780 Athens, Greece;2. Department of Transportation Planning and Engineering, School of Civil Engineering, National Technical University of Athens, 9, Iroon Polytechniou Str., Zografou Campus, GR-15780 Athens, Greece;1. State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;2. College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;1. University of Surrey, Guildford, United Kingdom;2. Sea and Land Project Engineering, Surrey, United Kingdom;1. Department of Physics, Faculty of Sciences, University of Maroua, P.O Box 814 Maroua, Cameroon;2. Department of Physics, Faculty of Science, University of Ngaoundéré, PO Box 454 Ngaoundere, Cameroon;3. Department of Civil Engineering, College of Engineering & Technology, PO. Box: 395, Wollega University (WU), Nekemte, Oromia Region, Ethiopia;4. Department of Renewable Energy, The Higher Institute of the Sahel, University of Maroua, P.O Box 46 Maroua, Cameroon;5. Department of Physics, Faculty of Science The University of Yaounde I, P.O. Box. 812, Cameroon;6. Centre d’Excellence Africain en Technologie de l’Information et de la Communication, The University of Yaounde I, P.O. Box.812, Cameroon;1. Department of Control Science and Engineering, Tongji University, Shanghai 201804, PR China;2. Key Laboratory of Enhanced Heat Transfer and Energy Conservation of the Ministry of Education, School of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou 510640, Guangdong, PR China;1. Mechanical Power Engineering Department, Faculty of Engineering, Shebin El-Kom, Menoufia University, Egypt;2. Department of Mathematics, College of Science and Humanities Studies, Prince Sattam Bin Abdulaziz University, KSA;3. Department of Basic Engineering Science, Faculty of Engineering, Shebin El-Kom, Menoufia University, Egypt |
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| Abstract: | Renewable energy technologies are developing rapidly, while in the last decade great interest is encountered in the use of wind energy, especially due to the energy crisis and serious environmental problems appeared from the use of fossil fuels and therefore a large number of wind farms have been installed around the world. On the other hand the ability of nature inspired algorithms to efficiently handle combinatorial optimization problems was proved by their successful implementation in many fields of engineering sciences. In this study, a new problem formulation for the optimum layout design of onshore wind farms is presented, where the wind load is implemented using stochastic fields. For this purpose, a metaheuristic search algorithm based on a discrete variant of the harmony search method is used for solving the problem at hand. The farm layout problem is by nature a constrained optimization problem, and the contribution of the wake effects is significant; therefore, in two formulations presented in this study the influence of wind direction is also taken into account and compared with the scenario that the wake effect is ignored. The results of this study proved the applicability of the proposed formulations and the efficiency of combining metaheuristic optimization with stochastic wind loading for dealing with the problem of optimal layout design of wind farms. |
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| Keywords: | Wind farm design optimization Layout design problem Wake effect Stochastic wind loads Harmony search Real world test case |
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