Please enter verification code
Simulation of a Hybrid Power Generation System (A Case Study of Oke Eda, Akure, Ondo State, Nigeria)
American Journal of Modern Energy
Volume 5, Issue 2, April 2019, Pages: 23-34
Received: Mar. 15, 2019; Accepted: Apr. 27, 2019; Published: Jun. 12, 2019
Views 767      Downloads 142
Babalola Abayomi Danlami, Department of Computer Engineering, Federal Polytechnic, Ile-Oluji, Nigeria
Akinponnle Ajibike Eunice, Department of Electrical/Electronic Engineering, Federal Polytechnic, Ile-Oluji, Nigeria
Yakubu Anakobe Jimoh, Department of Computer Engineering, Federal Polytechnic, Ile-Oluji, Nigeria
Article Tools
Follow on us
Demand for energy is increasing day by day in our society due to increasing number of residence and industries. Meeting this demand has been a major challenge for utility providers (power providers) over the years, which crippled our economy in the power sector. This project presents a study and a deep exploit of renewable energy source such as solar, wind, biomass, and other forms of renewable energy. The design of a complete hybrid renewable power system model for day to day load demand of Oke eda in Akure city using Hybrid Optimization Model for Electric Renewable (HOMER) and MATLAB (Matrix Laboratory) is a multi-paradigm numerical computing environment and proprietary programming language developed by MathWorks / Simulink, the sources of powers are photovoltaic (solar module) and diesel generator and the storage systems are batteries. The sizing, optimization and economic estimation of the model systems were performed using HOMER (hybrid optimization model for electric renewable) software and simulated using MATLAB. In addition, a comparison between the two different suggested power system configurations is illustrated in details. The control system handles the operations of the hybrid system by switching between the PV system and the diesel system and is intended to maximize the use of renewable system while limiting the use of diesel generator, which is allocated only when the demand cannot be met by the PV system. This project presents a review of renewable energy potentials in Nigeria to be tapped for useful and uninterrupted electric energy supply and provides a detailed analysis of the Quantum of electricity supply to Oke Eda, Akure and how to supplement for those lose hours in power supply (i.e. hours lost to power outage) via the combination of solar energy and diesel generator to augment for 20 hours of power unavailability in the community.
Power Generation System, Simulation, Hybrid Power
To cite this article
Babalola Abayomi Danlami, Akinponnle Ajibike Eunice, Yakubu Anakobe Jimoh, Simulation of a Hybrid Power Generation System (A Case Study of Oke Eda, Akure, Ondo State, Nigeria), American Journal of Modern Energy. Vol. 5, No. 2, 2019, pp. 23-34. doi: 10.11648/j.ajme.20190502.14
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License ( which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Deshmukh, M. K., & Deshmukh, S. S. (2008). Modeling of hybrid renewable energy systems. Renewable and Sustainable Energy Reviews, 12-1, 235-249. 3 (4).
Kaabeche, A., Belhamel, M., Ibtiouen, R. (2011). Sizing optimization of grid-independenthybrid photovoltaic / wind power generation system. Energy, 36 (2), 1214-1222.
Balachandra, P., Kaundinya, D. P., & Ravindranath, N. H. (2009). Grid-connected versus stand alone energy systems for decentralized power—A review of literature. Renewable and Sustainable Energy Reviews, 13, 2041–2050.
Gwenaelle, L., Ines H., Nigel B., & Sophie B. (2009). The energy access situation indeveloping countries. Technical report.
Ani, V. A. (2013a). Energy Optimization of Power Station for a Small Research Institute. International Journal of Energy Optimization and Engineering (IJEOE), 2 (2), 15-31. DOI: 10.4018/ijeoe.2013040102 Publisher IGI Global.
Charles, A. (2014). How is 100% renewable energy possible for -0139 Nigeria. Global Energy Network Institute. (619), 595
Ashok, S. (2007). Optimised model for community-based hybrid energy system. Renewable Energy, 32-7, 1155-1164.
Ani, V. A. (2013b). Simulation and optimization of stand-alone photovoltaic/dieselhybridsystem for banking industry. International Journal of Energy Optimization and Engineering. (In Press).
Shahinzadeh, H., Gharehpetian, G. B., Fathi, S. H., & Nasr-Azadani, S. M. (2015). Optimal Planning of an Off-grid Electricity Generation with Renewable Energy Resources using the HOMER Software. International Journal of Power Electronics and Drive Systems, 6 (1), 137-147.
John, A., Duffie and William, A., Beckman. (2013). Solar Engineering of Thermal Processes. Wiley.
Chendo, M. A. C. (2002). Factors Militating Against the Growth of the Solars-PV Industry in Nigeria and their Removal. Nigerian Journal of Renewable Energy, 10 (1&2), 151-158.
Gupta, J. B. (2000). A course in power systems. Sanjeev, kumar kataria and sons, Naisarek, Delhi.
Kenneth, A. D. J. (1975). An analysis of the behavior of a class of genetic adaptive systems. PhD thesis, University of Michigan.
Li Jing, W. & Wei, J. X. (2012). A simple sizing algorithm for stand-alone PV/Wind/ Battery Hybrid Microgrids. Energies, 5, 5307-5323.
Science Publishing Group
1 Rockefeller Plaza,
10th and 11th Floors,
New York, NY 10020
Tel: (001)347-983-5186