Optimal Design of a Hybrid Solar -Wind-Diesel Power System for Rural Electrification Using Imperialist Competitive Algorithm

Year 2013, Volume: 3 Issue: 2, 403 - 411, 01.06.2013

Saeed Lotfi Farid Lotfi Tarazouei Mohammad Ghiamy

Abstract

In this paper, optimal design of a stand-alone hybrid solar- wind- diesel power generation system using Imperialist Competitive Algorithm, Particle swarm optimization and ant colony optimization is presented. The final goal of this paper is minimization of net present cost of hybrid system for lifetime of project ( here 20 years) considering by reliable supply of load and loss of power probability (LPSP) reliability index. In order to find out the least expenditure and best combination, the result of these algorithms compared together. Among these algorithms, the imperialist competitive algorithm is faster and more accurate than others and has more certain design in comparison to PSO and ACO algorithms. In this paper, first  the mathematical model of various parts of hybrid system is presented. Then the purposed algorithm is used. Finally, simulation results ( number of PV panels, number of wind turbines, number of battery storages, system total cost ,power diagram of hybrid power system components and reliability diagram) for solar-wind –diesel systems is presented.

Keywords

renewable energy; stand- alone power system; reliability; Imperialist competitive algorithm; optimization

References

• Lotfi, Tarazuie, S. , Ghiamy, M , Kazemi Kargar, h.:' Modeling of hybrid solar- wind- diesel energy system in rural areas', 2nd Iranian conference on renewable energy and distributed generation 2012, Tehran.Iran,P(138)
• Belfkira, R.,Zhang L, Barakat, G:' Optimal Sizing study of hybrid wind/PV/diesel power generation system ' Solar Energy ., 2011,85,100-110.
• Borowy, B.S., Salameh, Z.M.:' Methodology for optimally sizing the combination of a battery bank and PV array in a wind/PV hybrid system'. IEEE Transactions on Energy Conversion., 1996., 11 (2).,pp.367-375
• Deshmukh, M.K., Deshmukh, S. S.: ' Modeling of hybrid renewable energy systems ' . Renewable & Sustainable Energy Reviews . 2008 , 12,(1),pp. 235-249.
• Dufo-Lopez, R., Bernal-Agustin, J.L.: ' Design and control strategies of PV-diesel systems using genetic algorithms '. Solar Energy , 2005,79, (1), pp.33-46.
• Celik, A.N.:' Optimization and techno-economic analysis of autonomous photovoltaic-wind-hybrid energy systems in comparison to single photovoltaic and wind systems'. Energy Conversion and Management. 2002, 43 (18), pp.2453-2468.
• S.M. Shaahid , I. El-Amin. :'Techno-economic evaluation of off-grid hybrid photovoltaic-diesel-battery power systems for rural electrification in Saudi Arabia-A way forward for sustainable development' . Renewable and Sustainable Energy Reviews, 2009, 13,(3),pp. 625-633.
• Orhan Ekren, Banu Y. Ekren.:'Size optimization of a PV/wind hybrid energy conversion system with battery storage using simulated annealing' . Applied Energy. , 87, (2), pp. 592-598. Ajai Gupta, R.P. Saini, M.P. Sharma.:' Modeling of hybrid energy system-Part I: Problem formulation and model development'. Renewable Energy. 2010, 35, (2), pp. 520-535.
• Belfkira, R., Barakat, G., Nichita, C.:' Sizing optimization of a stand-alone hybrid power supply unit: wind/PV system with battery storage'. International Review of Electrical Engineering (IREE), 2008, 3 (5).
• Yang Qi, Zhang Jianhua, Liu Zifa , Xia Shu and Li Weiguo.:' A New Methodology for Optimizing the Size of Hybrid PV/wind System'.IEEE conf 2008.
• Koutroulis, E., Kolokotsa, D., Potirakis, A., Kalaitzakis, K.:' Methodology for optimal sizing of stand- alone photovoltaic/wind generator systems using genetic algorithms'. Solar Energy, 2006. 80, (9),pp. 1072-1088.
• B. Ould Bilal, V. Sambou, P.A. Ndiaye, C.M.F. Kébé, M. Ndongo.:'Optimal design of a hybrid solar- wind-battery system using the minimization of the annualized cost system and the minimization of the loss of power supply probability (LPSP)'. Renewable Energy.2010, 35,(10),pp. 2388-2390.
• Hongxing Yang, Wei Zhou, Lin Lu, Zhaohong Fang.:' Optimal sizing method for stand-alone hybrid solar-wind system with LPSP technology by using genetic algorithm'. Solar Energy. 2008, 82, (4), pp. 354- Esmaeil, Atashpaz-Gargari, Caro Lucas,"
• Imperialist Competitive Algorithm: An Algorithm for Optimization Inspired by Imperialistic Competition" IEEE Congress on Evolutionary Computation (CEC ). A. Kashefi Kaviani, G.H. Riahy, SH.M. Kouhsari.:'Optimal design of a reliable hydrogen-based stand-alone wind/PV generating system, considering component outages'. Renewable Energy, 2009, 34, (11), pp. 2380-2390.
• R. Luna-Rubio, M. Trejo-Perea, D. Vargas- Vázquez, G.J. Ríos-Moreno.:' Optimal sizing of renewable hybrids energy systems: A review of methodologies.' Solar Energy,2012, 86,(4),pp. 1077
• Markvar, T.:' Solar Electricity', second ed. J. Wiley & Sons. , 2000.
• Yang, H., Lu, L., Zhou, W.: ' A novel optimization sizing model for hybrid solar-wind power generation system' . Solar Energy . 2007,81,pp. 76-84.
• Shahirinia AH, Tafreshi SMM, Gastaj AH, Moghaddomjoo AR. Optimal sizing of hybrid power system using genetic algorithm. In: International conference on future power systems 2005; 16-18 November 2005.
• Meteorology Organization of Iran, Ardabil Province branch. Daily mean values of solar radiation, wind speed and temperature,2010.
• Kennedy,J, and Eberhart, R. C ."Particle swarm Optimization. "Proceedings of IREE International Conference on Neural Networks,Piscalaway, NJ, 1995.
• Dorigo, M. and Stutzle, T. (2004). Ant Colony
• Optimization, Cambridge, The MIT Press.