An Optimal Sizing Algorithm for a Hybrid Renewable Energy System

Abdullahi Masud

Abstract


This paper proposed an optimal sizing algorithm to obtain the capacity sizes of several components of the hybrid renewable energy system. The recommended algorithm takes into account the maximum power generated by the Hybrid components and the minimum cost of operation by considering the proposed energy storage systems. In this system, the techno-economic analysis of a hybrid renewable system will be accomplished. A case study is conducted to analyze a hybrid project for critical loads in Nigeria which is used to supply a district hospital with geographical coordinates of 12.0022° N, 8.5920° E  at an altitude of 472 m. Finally, the invariance nature of the battery storage system has also been verified.

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References


Ajayi, O. O., Fagbenle, R. O., Katende, J., Aasa, S. A., & Okeniyi, J. O. (2013). Wind profile characteristics and turbine performance analysis in Kano, north-western Nigeria. International Journal of Energy and Environmental Engineering, 4(1), 27.

Tutkun, Nedim, Özay Can, and Ender Sinan Şan. "Daily cost minimization for an off-grid renewable microhybrid system installed to a residential home." Renewable Energy Research and Applications (ICRERA), 2015 International Conference on. IEEE, 2015.

Li, Jing, Wei Wei, and Ji Xiang. "A simple sizing algorithm for stand-alone PV/wind/battery hybrid microgrids." Energies 5.12 (2012): 5307-5323.

Yang, Hongxing, Lin Lu, and Wei Zhou. "A novel optimization sizing model for hybrid solar-wind power generation system." Solar energy 81.1 (2007): 76-84.

Al Busaidi, A. S., Kazem, H. A., Al-Badi, A. H., & Khan, M. F. (2016). A review of optimum sizing of hybrid PV–Wind renewable energy systems in oman. Renewable and Sustainable Energy Reviews, 53, 185-193.

Rehman, S., Alam, M. M., Meyer, J. P., & Al-Hadhrami, L. M. (2012). Feasibility study of a wind–pv–diesel hybrid power system for a village. Renewable Energy, 38(1), 258-268.

Sinha, S., & Chandel, S. S. (2014). Review of software tools for hybrid renewable energy systems. Renewable and Sustainable Energy Reviews, 32, 192-205.

Erdinc, O., & Uzunoglu, M. (2012). Optimum design of hybrid renewable energy systems: Overview of different approaches. Renewable and Sustainable Energy Reviews, 16(3), 1412-1425.

Fadaee, M., & Radzi, M. A. M. (2012). Multi-objective optimization of a stand-alone hybrid renewable energy system by using evolutionary algorithms: A review. Renewable and Sustainable Energy Reviews, 16(5), 3364-3369.

Bourouni, K., M’Barek, T. B., & Al Taee, A. (2011). Design and optimization of desalination reverse osmosis plants driven by renewable energies using genetic algorithms. Renewable Energy, 36(3), 936-950.

Karen IBA, A lesson in the physics of hybrid electric vehicle physics, April 2000, pp 451-452.

De Soto, W., Klein, S. A., & Beckman, W. A. (2006). Improvement and validation of a model for photovoltaic array performance. Solar energy, 80(1), 78-88.

Diaf, S., Notton, G., Belhamel, M., Haddadi, M., & Louche, A. (2008). Design and techno-economical optimization for hybrid PV/wind system under various meteorological conditions. Applied Energy, 85(10), 968-987.

Akpinar, E. K., & Akpinar, S. (2005). An assessment on seasonal analysis of wind energy characteristics and wind turbine characteristics. Energy conversion and management, 46(11), 1848-1867.

Karaki, S. H., Chedid, R. B., & Ramadan, R. (1999). Probabilistic performance assessment of autonomous solar-wind energy conversion systems. IEEE Transactions on Energy Conversion, 14(3), 766-772.

Kaabeche, A., Belhamel, M., & Ibtiouen, R. (2010). Optimal sizing method for stand-alone hybrid PV/wind power generation system. Revue des Energies Renouvelables (SMEE'10) Bou Ismail Tipaza, 205-213.

Deshmukh, M. K., & Deshmukh, S. S. (2008). Modelling of hybrid renewable energy systems. Renewable and Sustainable Energy Reviews, 12(1), 235-249.

Zhang, P., & Lee, S. T. (2004). Probabilistic load flow computation using the method of combined cumulants and Gram-Charlier expansion. IEEE transactions on power systems, 19(1), 676-682.

Piller, S., Perrin, M., & Jossen, A. (2001). Methods for state-of-charge determination and their applications. Journal of power sources, 96(1), 113-120.




DOI (PDF): https://doi.org/10.20508/ijrer.v7i4.6169.g7199

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