[2] Z. A. Darwish, “Effect of Dust on Photovoltaic Performance Review and Research Status Effect of Dust on Photovoltaic Performance: Review and Research Status 2 Effect of Dust Properties,” no. April 2013, 2014.
[3] A. Abdulkarim, S. M. Abdelkader, D. J. Morrow “Model for optimal design of standalone hybrid renwable energy microgrids” Journal of Fundamental and Applied Sciences 9 (2), 1074-1101 2017.
[4] A. Maleki, M. Gholipour, and M. Ameri, “Electrical Power and Energy Systems Optimal sizing of a grid independent hybrid renewable energy system incorporating resource uncertainty , and load uncertainty,” Int. J. Electr. POWER ENERGY Syst., vol. 83, pp. 514–524, 2016.
[5] H. Yang, W. Zhou, L. Lu, and Z. Fang, “Optimal sizing method for stand-alone hybrid solar – wind system with LPSP technology by using genetic algorithm,” vol. 82, pp. 354–367, 2008.
[6] S. Ashok, “Optimised model for community-based hybrid energy system,” vol. 32, pp. 1155–1164, 2007.
[7] Y. Wu and S. Chang, “Review of the Optimal Design on a Hybrid Renewable Energy System 2 Case Studies on Small-Scale Hybrid Generation Systems,” vol. 1, pp. 4–10, 2016.
[8] O. Nadjemi, T. Nacer, A. Hamidat, and H. Salhi, “Optimal hybrid PV / wind energy system sizing: Application of cuckoo search algorithm for Algerian dairy farms Optimal hybrid PV / wind energy system sizing: Application of cuckoo search algorithm for Algerian dairy farms,” Renew. Sustain. Energy Rev., vol. 70, no. April, pp. 1352–1365, 2017.
[9] V. L.C.G, Arowjo, H. R, and T. R.W, “"pv power for villages in the north region of brasil,” 1995.
[10] Riess, R. E, S. A, and S. P, “"Performance and reliability of the photovoltaic demonstration plants in the German measurement and documentation programme,” 1994.
[11] L. G, W. T. C. . Van Der, and H. K.j, “Technical set-up and use of pv-diesel systems for households and barge,” Tech. Dig. Intn’l pvesc-7, Nagaya japan, pp. 163–164, 1993.
[12] C. Engineering and R. Energy, “PV-wind hybrid system: A review with case study,” no. December, 2016.
[13] G. Seeling-hochmuth, “Optimisation of Hybrid Energy Systems Sizing and Operation Control,” no. October, p. 219, 1998.
[14] M. J, B. L, and Zhegen, “small scale solar pv generating system-the household electricity supply used in remote area.,” vol. 6, pp. 501–505, 1995.
[15] Bhuiyan and A. Asgar, “Sizing of a stand-alone photovoltaic power system at Dhaka.,” Renew. energy, vol. 28, pp. 929–938, 2003.
[16] Gavanidou and Bakirtz, “Design of stand alone system with renewable energy sources using trade-off methods.,” IEEE Trans. energy Convers., vol. 7, pp. 42–48, 1993.
[17] Y. Zheng, S. Chen, Y. Lin, and W. Wang, “Bio-Inspired Optimization of Sustainable Energy Systems: A Review,” vol. 2013, 2013.
[18] F. Manzano-agugliaro, F. G. Montoya, C. Gil, A. Alcayde, J. Gómez, and R. Ba, “Optimization methods applied to renewable and sustainable energy: A review,” vol. 15, pp. 1753–1766, 2011.
[19] P. Prakash and D. K. Khatod, “Optimal sizing and siting techniques for distributed generation in distribution systems: A review,” Renew. Sustain. Energy Rev., vol. 57, pp. 111–130, 2016.
[20] K. Kusakana, H. J. Vermaak, and G. P. Yuma, “Optimization of Hybrid Standalone Renewable Energy Systems by Linear Optimization of hybrid standalone renewable energy systems by linear programming,” no. February, 2015.
[21] I. To and C. Tools, “Computational tools for smart grid design 5.1,” pp. 100–121.
[22] S. Harbo, “Tackling Variability of Renewable Energy with Stochastic Optimization of Energy System Storage Sondre Harbo,” no. August, 2017.
[23] S.X.Chen & and H.B.Gooi, “‘sizingof energy storage system for microgrids,’ in probabilistic methods Applied to power system(PMAPS),” 2010 IEEE 11th Int. Conf. ,singapore ,2010, 2010.
[24] M. Josep, “Computational optimization techniques applied to microgrids planning: a review,” 2015.
[25] Q. Cui, Q., Shu, J., Zhang, X., & Zhou, “The application of improved BP neural network for power load forecasting in the island microgrid system. 2011 International Conference on Electrical and Control Engineering.,” 2011.
[26] & Y. H. Zhang, X., Sharma, R., “Optimal energy management of a rural microgrid system using multi-objective optimization. 2012 IEEE PES Innovative Smart Grid Technologies (ISGT).,” 2012.
[27] N. Hernandez-Aramburo, C. A., Green, T. C., & Mugniot, “Fuel Consumption Minimization of a Microgrid. IEEE Transactions on Industry Applications, 41(3), 673–681.,” 2005.
[28] & G. W. Sobu, A., “Dynamic optimal schedule management method for microgrid system considering forecast errors of renewable power generations. 2012 IEEE International Conference on Power System Technology (POWERCON).,” 2012.
[29] N. H. Nguyen, M. Y., Yoon, Y. T., & Choi, “Dynamic programming formulation of Micro-Grid operation with heat and electricity constraints. 2009 Transmission & Distribution Conference & Exposition: Asia and Pacific.,” 2009.
[30] R. Quiggin, D., Cornell, S., Tierney, M., & Buswell, “A simulation and optimisation study: Towards a decentralised microgrid, using real world fluctuation data. Energy, 41(1), 549–559.,” 2012.
[31] C. T. M. Clack, Y. Xie, and A. E. Macdonald, “Electrical Power and Energy Systems Linear programming techniques for developing an optimal electrical system including high-voltage direct-current transmission and storage,” Int. J. Electr. POWER ENERGY Syst., vol. 68, pp. 103–114, 2015.
[32] R. K. Arora, “Optimization Algorithms and Applications. Chapman and Hall/CRC 2015,” 2015.
[33] Holland, “Genetic Algorithms,” Sci. Am. J., pp. 66–72, 1992.
[34] G. J. GENESIS, “Navy centre for applied research in artificial intelligence,” Navy Res. lab, 1990.
[35] S. A. Kalogirou and S. Arzu, “Artificial Intelligence Techniques in Solar Energy Applications,” 2010.
[36] K. Koutroulis, E.; Kolokotsa, D.; Potirakis, A.; Kalaitzakis, “Methodology for optimal sizing of stand-alone photovoltaic/wind-generator systems using genetic algorithms. Sol. Energy,” pp. 1072–1088, 2006.
[37] C. Yang, H.; Wei, Z.; Lou, “Optimal design and techno-economic analysis of a hybrid solar-wind power generation system. Appl. Energy,” pp. 163–169, 2009.
[38] J. L. B.-A. and R. Dufo-López, “‘Efficient design of hybrid renewable energy systems using evolutionary algorithms,’ Energy Convers. Manag.,” vol. 50, pp. 479–489, 2009.
[39] and L. C. Y. Hongxing, Z. Wei, “‘Optimal design and techno-economic analysis of a hybrid solar – wind power generation system,’” vol. 86, pp. 163–169, 2009.
[40] and M. N. B. Ould Bilal, V. Sambou, P. A. Ndiaye, C. M. F. Kébé, “‘Multi-objective design of PV-wind-batteries hybrid systems by minimizing the annualized cost system and the loss of power supply probability (LPSP),’ Proc. IEEE Int. Conf. Ind. Technol.,” pp. 861–868, 2013.
[41] and M. N. B. O. Bilal, V. Sambou, C. M. F. Kebe, P. A. Ndiaye, “‘Methodology to size an optimal stand-alone PV/wind/diesel/battery system minimizing the levelized cost of energy and the CO 2 emissions,’ in Energy Procedia,” vol. 14, pp. 1636–1647, 2011.
[42] and D. M. R.-A. J. L. Bernal-Agustin, R. Dufo-Lopez, “‘Design of isolated hybrid systems minimizing costs and pollutant emissions,’ Renew. Energy,” vol. 31, pp. 2227–2244, 2005.
[43] and G. C. D. Abbes, A. Martinez, “‘Life cycle cost, embodied energy and loss of power supply probability for the optimal design of hybrid power systems,’ Math. Comput. Simul.,” vol. 98, pp. 46–62, 2014.
[44] and K. B. B. M. T. Ben M’Barek, K. Bourouni, “‘Optimization coupling RO desalination unit to renewable energy by genetic algorithms,’ Desalin. Water Treat.,” vol. 51, pp. 1416–1428, 2013.
[45] M. N. Ab Wahab, S. Nefti-Meziani, and A. Atyabi, “A comprehensive review of swarm optimization algorithms,” PLoS One, vol. 10, no. 5, pp. 1–36, 2015.
[46] Kennedy and Eberhart, “particle swarm optimization.In proceedings of IEEE,” Int. Conf. neural networks, vol. 4, no. 2, pp. 1942–1948, 1995.
[47] A. Mahor, V. Prasad, and S. Rangnekar, “Economic dispatch using particle swarm optimization: A review,” vol. 13, pp. 2134–2141, 2009.
[48] M. Amer, A. Namaane, and N. K. M’Sirdi, “Optimization of hybrid renewable energy systems (HRES) using PSO for cost reduction,” Energy Procedia, vol. 42, pp. 318–327, 2013.
[49] M. A. Mohamed, A. M. Eltamaly, and A. I. Alolah, “PSO-based smart grid application for sizing and optimization of hybrid renewable energy systems,” PLoS One, vol. 11, no. 8, pp. 1–22, 2016.
[50] A. Y. Saher and G. K. Venayagamoorthy, “‘smart microgrid optimization with controllable loads using particle swarm optimization,’ in power and energy society general meeting (PES), IEEE(2013),” 2013.
[51] Navaerfard and Al, “‘optimal sizing of distributed energy resources in microgrid considering wind energy uncertainty with respect to reliability,’ in energy conference and exhibition(energycon),2010 IEEE international, manama,” 2010.
[52] C. Deng and w. Huang, “‘optimal of distributed generation in microgrid considering energy price equilibrium point analysis model,’ in industrial electronic and application (ICIEA),2013 8th IEEE conference on, melbourne,” 2013.
[53] and H. R. A. Navaeefard, O. Babaee, “‘Optimal Sizing of Hybrid Systems and Economical Comparison,’ Int. J. Sustain. Energy Environ. Res.,” vol. 6, pp. 1–8, 2017.
[54] and S. M. K. A. Kashefi Kaviani, G. H. Riahy, “‘Optimal design of a reliable hydrogen-based stand-alone wind/PV generating system, considering component outages,’” Renew. energy, vol. 34, pp. 2380–2390, 2009.
[55] M. Sharafi and T. Y. ELMekkawy, “‘Multi-objective optimal design of hybrid renewable energy systems using PSO-simulation based approach,’ Renew. Energy,” vol. 68, pp. 67–79, 2014.
[56] Maleki and Ameri, “Scrutiny of multifarious PSO for finding the optimal size of a pv/wind/battery hybrid system.,” Renew. energy, vol. 80, pp. 552–563, 2015.
[57] D. O. Leary and J. Kubby, “Feature Selection and ANN Solar Power Prediction,” vol. 2017, 2017.
[58] L. Thiaw, G. Sow, and S. Fall, “Application of Neural Networks Technique in Renewable Energy Systems,” 2014.
[59] R. J. itchell K, Nagrial M, “Simulation and optimization of renewable energy systems. International Journal of Electrical Power and Energy Systems 2005;27(3):,” pp. 177–88, 2005.
[60] and C. N. G. Capizzi, F. Bonanno, “Recurrent neural networkbased control strategy for battery energy storage in generation systems with intermittent renewable energy sources. In Proc. 2011 International Conference on Clean Electrical Power (ICCEP),” pp. 336–340, 2011.
[61] K. S. G. S. and S. N. Deepa., “An efficient hybrid neural network model in renewable energy systems. In Proc. 2012 IEEE International Conference on Advanced Communication Control and Computing Technologies (ICACCCT),” pp. 359–361, 2012.
[62] and A. G. A. Mellit, M. Benghanem, A. Hadj Arab, “‘An adaptive artificial neural network model for sizing of stand-alone photovoltaic system: Application for isolated sites in Algeria,’ Renewable Energy,” vol. 8, pp. 1501–1524, 2005.
[63] A. A. Kulaksiz, B. Akdemir, and H. Bakir, “ANN-Based Sizing of Battery Storage in a Stand- Alone PV System,” vol. 4, no. 1, pp. 8–12, 2016.
[64] S. G. Celli G, Pilo F, Pisano G, “Optimal participation of a microgrid to the energy market with an intelligent EMS. 2005 Int. Power Eng. Conf., IEEE; 2005,” vol. 2, pp. 663–668, 2005.
[65] Z. HontoriaL, AguileraJ, “A new approach for sizing standalone photovoltaic systems based in neural networks. SolarEnergy,” pp. 313–9, 2005.
[66] C. D. Rajkumar RK, Ramachandaramurthy VK, Yong BL, “Techno-economical optimization of hybrid pv/wind/battery system using Neuro-Fuzzy. Energy,” pp. 5148–53, 2011.
[67] M.- Chavez-Ramirez AU, Vallejo-Becerra V, Cruz JC, Ornelas R, Orozco G and A. L. Guerrero R, “A hybrid power plant (solar-wind-hydrogen) model based in artificial intelligence for a remote-housing application in Mexico. Int J Hydrog Energy,” pp. 2641–55, 2013.
[68] A. A. Natsheh EM, “Hybrid power systems energy controller based on neural network and fuzzy logic. Smart Grid Renew Energy,” pp. 187–97, 2013.
[69] A. Abdulkarim et al., “Reliability Study of Stand-alone Hybrid Renewable Energy Microgrids,” Iran. J. Sci. Technol. Trans. Electr. Eng., vol. 8, 2018.
[70] Kamjoo, A. Maheri and G. Putrus, “‘Wind Speed and Solar Irradiance Variation Simulation Using ARMA Models in Design of Hybrid Wind-PV-Battery System,’ Journal of Clean Energy Technologies,” vol. 1, 2013.
[71] X. Y. and Z. W. F. Zhang, X. Chen, “‘An improved capacity ratio design method based on complementary characteristics of wind and solar,’ in Electrical Machines and Systems (ICEMS), 2013 International Conference on, Busan,” 2013.
[72] T. Khatib, I. A. Ibrahim, and A. Mohamed, “A review on sizing methodologies of photovoltaic array and storage battery in a standalone photovoltaic system,” ENERGY Convers. Manag., vol. 120, pp. 430–448, 2016.
[73] S. J. Hosseini, M. Moazzami, and H. Shahinzadeh, “Optimal Sizing of an Isolated Hybrid Wind / PV / Battery System with Considering Loss of Power Supply Probability,” vol. 11, no. 3, pp. 63–69, 2017.
[74] Z. Benhachani and Al, “‘optimal sizing of solar-wind hybrid system supplying a farm in a semi-aride region in algeria,’ in universities power engineering conference(UPEC) ,2012 24th international ,london 2012,” 2012.
[75] A. M. and G. P. Kamjoo, “‘Wind Speed and Solar Irradiance Variation Simulation Using ARMA Models in Design of Hybrid Wind-PV-Battery System,’” J. Clean Energy Technol., vol. 1, 2013.
[76] H. Yang, W. Zhou, L. Lu and Z. Fang, “‘Optimal sizing method for stand-alone hybrid solar–wind system with LPSP technology by using genetic algorithm,’” Elsevier J. Sol. Energy, vol. 82, pp. 354–367, 2008.
[77] . M. F. Almi and B. Bendib H. Belmili, M. Haddadi, S. Bacha, “‘Sizing stand-alone photovoltaic–wind hybrid system: Techno-economic analysis and optimization,’” Renew. Sustain. Energy Rev., vol. 30, pp. 821–832, 2013.
[78] C. M. K. and M. N. B. O. Bilal, V. Sambou, P. A. Ndiaye, “‘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),’” Elsevier J. Renew. Energy, vol. 35, pp. 2388–2390, 2010.
[79] and A. L. S. Diaf, D. Diaf, M. Belhamel, M. Haddadi, “‘A methodology for optimal sizing of autonomous hybrid PV/wind system,’” Energy Policy, vol. 35, pp. 5708–5718, 2007.
[80] V. O. Okinda and N. A. Odero, “A review of techniques in optimal sizing of hybrid renewble energy systems,” pp. 153–163, 2015.
[81] O. C. Otumdi, C. Kalu, and I. Markson, “Determination of Loss of Load Probability for Stand-Alone Photovoltaic Power System,” vol. 2, no. 1, pp. 7–12, 2017.
[82] J. of A. Energy, “‘Size optimization of a PV/wind hybrid energy conversion system with battery storage using response surface methodology,’” J. Appl. Energy, vol. 85, pp. 1086–1101, 2008.
[83] O. Ekren and B. Y. Ekren, “‘Size optimization of a PV/wind hybrid energy conversion system with battery storage using simulated annealing,’” J. Appl. Energy, vol. 87, pp. 592–598, 2010.
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© Computer Engineering and Applications Journal, 2019
Affiliations
C. Mekontso
Department of Electrical and Electronics Engineering, Faculty of Engineering and Technology University of Ilorin, Nigeria
Abdulkarim Abubakar
Department of Electrical and Electronics Engineering, Faculty of Engineering and Tech, University of Ilorin, Nigeria
S. Madugu
Department of Electrical Engineering, Faculty of Engineering Kano University of Science & Technology Wudil, Nigeria
O. Ibrahim
Department of Electrical and Electronics Engineering, Faculty of Engineering and Technology University of Ilorin, Nigeria
Y. A. Adediran
Department of Electrical and Electronics Engineering, Faculty of Engineering and Technology University of Ilorin, Nigeria