Abstract
The optimal sizing of a small autonomous hybrid power system can be a very challenging task, due to the large number of design settings and the uncertainty in key parameters. This problem belongs to the category of combinatorial optimization, and its solution based on the traditional method of exhaustive enumeration can be proved extremely time-consuming. This paper proposes a binary genetic algorithm in order to solve the optimal sizing problem. Genetic algorithms are popular optimization metaheuristic techniques based on the principles of genetics and natural selection and evolution, and can be applied to discrete or continuous solution space problems. The obtained results prove the performance of the proposed methodology in terms of solution quality and computational time.
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References
HOMER, The Micropower Optimization Model, http://www.nrel.gov/homer
Chedid, R., Rahman, S.: Unit Sizing and Control of Hybrid Wind-Solar Systems. IEEE Trans. Energy Conv. 12(1), 79–85 (1997)
Gavanidou, E., Bakirtzis, A.: Design of a Stand Alone System with Renewable Energy Sources using Trade off Methods. IEEE Trans. Energy Conv. 7, 42–48 (1992)
Katsigiannis, Y., Georgilakis, P.: Optimal Sizing of Small Isolated Hybrid Power Systems using Tabu Search. J. Optoel. Adv. Mat. 10(5), 1241–1245 (2008)
Hakimi, S.M., Moghaddas-Tafreshi, S.M.: Optimal Sizing of a Stand-alone Hybrid Power System via Particle Swarm Optimization for Kahnouj Area in South-east of Iran. In: Ren. Energy, vol. 34, pp. 1855–1862 (2009)
Koutroulis, E., Kolokotsa, D., Potirakis, A., Kalaitzakis, K.: Methodology for Optimal Sizing of Stand-alone Photovoltaic/Wind-Generator Systems Using Genetic Algorithms. Solar Energy 80, 1072–1088 (2006)
Senjyua, T., Hayashia, D., Yonaa, A., Urasakia, N., Funabashi, T.: Optimal configuration of power generating systems in isolated island with renewable energy. Ren. Energy 32, 1917–1933 (2007)
Dufo-Lopez, R., Bernal-Agustin, J., Contreras, J.: Optimization of Control Strategies for Stand-alone Renewable Energy Systems with Hydrogen Storage. Ren. Energy 32, 1102–1126 (2007)
HOGA, Hybrid Optimization by Genetic Algorithms, http://www.unizar.es/rdufo/hoga-eng.htm
Barley, C.D., Winn, C.B.: Optimal dispatch strategy in remote hybrid power systems. Solar Energy 58, 165–179 (1996)
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Katsigiannis, Y.A., Georgilakis, P.S., Karapidakis, E.S. (2010). Genetic Algorithm Solution to Optimal Sizing Problem of Small Autonomous Hybrid Power Systems. In: Konstantopoulos, S., Perantonis, S., Karkaletsis, V., Spyropoulos, C.D., Vouros, G. (eds) Artificial Intelligence: Theories, Models and Applications. SETN 2010. Lecture Notes in Computer Science(), vol 6040. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12842-4_38
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DOI: https://doi.org/10.1007/978-3-642-12842-4_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12841-7
Online ISBN: 978-3-642-12842-4
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