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Application of Artificial intelligence techniques for optimum design of hybrid grid-independent PV/WT/battery power system | ||
| International Journal of Industrial Electronics Control and Optimization | ||
| مقاله 35، دوره 3، شماره 3، مهر 2020، صفحه 275-289 اصل مقاله (1.76 M) | ||
| نوع مقاله: Research Articles | ||
| شناسه دیجیتال (DOI): 10.22111/ieco.2020.28603.1136 | ||
| نویسندگان | ||
| Seyed Mahdi Hadad Baygi* 1؛ Javad Farzaneh2 | ||
| 1Khorasan Institute of Higher Education | ||
| 2Electrical and Computer Engineering Faculty, Semnan University, Semnan, Iran | ||
| چکیده | ||
| The idea of this paper is behind the development of sizing optimization model based on a new optimization algorithm to optimize the size of different stand-alone hybrid photovoltaic (PV)/wind turbine (WT)/battery system components to electrify a remote location including ten residential buildings located in Rafsanjan, Kerman, Iran. Then, the optimal system is estimated on the basis of various inconstant parameters related to the renewable energy system units: the number of batteries, occupied region by the turbine blades rotation, and occupied space by the group of solar panels. The solar radiation, ambient temperature, and wind velocity data are achieved from the website of renewable energy and energy efficiency organization of Iran. The ant lion optimizer is suggested to find the optimal values of the parameters for satisfying the electrical load demand in the most cost-effective way. The results obtained from the simulation illustrate that the off-grid PV/WT/battery hybrid power system is the more promising method to provide the electricity consumption of an urban location. To evaluate the performance of the proposed method, the simulation results are compared with other hybrid energy systems, which optimized by particle swarm optimization (PSO), harmony search (HS), firefly algorithm (FA), and differential evolutionary (DE) algorithm. The results obtained by the investigated algorithms show that the PV/WT/battery system that is optimized by ALO method is more economical in compared with PV/battery and WT/battery hybrid systems. | ||
| کلیدواژهها | ||
| Optimal sizing؛ Hybrid renewable energy؛ Photovoltaic system؛ Wind turbine؛ Ant lion optimizer | ||
| مراجع | ||
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[1] N. Ghorbani, A. Kasaeian, A. Toopshekan, L. Bahrami, and A. Maghami, “Optimizing a hybrid wind-PV-battery system using GA-PSO and MOPSO for reducing cost and increasing reliability,” Energy, Vol. 154, pp. 581-591, Jul. 2018 . [2] H. Fathabadi, “Novel grid-connected solar/wind powered electric vehicle charging station with vehicle- to-grid technology,” Energy, Vol. 132, pp. 1-11, Aug. 2017 . [3] AN. Celik, “Techno-economic analysis of autonomous PV-wind hybrid energy systems using different sizing methods” Energy Conversion and Management, Vol. 44, No. 12, pp. 1951–1968, Jul. 2003. [4] R. una-Rubio, M. Trejo-Perea, D. Vargas-Vázquez, and GJ. Ríos-Moreno, “Optimal sizing of renewable hybrids energy systems: A review of methodologies” Solar Energy, Vol. 86, No. 4, pp. 1077-1088, Ap.2012. [5] X.u. Daming, L. Kang, L. Hang, and B. Cao, “Optimal sizing of standalone hybrid wind/pv power systems using genetic algorithms,” Canadian Conference on Electrical and Computer Engineering, pp.1722–1725, 2005. [6] 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,” Solar Energy, Vol. 82, No. 4, pp. 354–367, Apr. 2008. [7] M. Sharafi, and TY. ELMekkawy, “Multi-objective optimal design of hybrid renewable energy systems using PSO-simulation based approach,” Renewable Energy, Vol. 68, pp. 67-79, Aug. 2014. [8] T. Markvart, “Sizing of hybrid photovoltaic-wind energy systems,” Solar Energy Vol. 57, No. 4, pp. 277- 281, Oct. 1996. [9] M. Alramlawi, A. Gabash, E. Mohagheghi, and P. Li, “Optimal operation of hybrid PV-battery system considering grid scheduled blackouts and battery lifetime,” Solar Energy, Vol. 161, pp. 125–137, Feb. 2018. [10] J. Schmidt, R. Cancella, and AO. Pereira, “An optimal mix of solar PV, wind, and hydro power for a low- carbon electricity supply in Brazil,” Renewable Energy, Vol. 85, pp. 137-147, Jan. 2016. [11] W.D. Kellogg, M.H. Nehrir, G. Venkataramanan, and V. Gerez, “Generation unit sizing and cost analysis for stand-alone wind, photovoltaic, and hybrid wind/PV systems,” IEEE Trans on Energy Conversion, Vol. 13, No. 1, pp. 70-75, Mar. 1998. [12] O. Ekren, and B.Y. Ekren, “Size optimization of a PV/wind hybrid energy conversion system with battery storage using simulated annealing,” Applied Energy, Vol. 87, No. 2, pp. 592-598, Feb. 2010. [13] A. Yahiaoui, K. Benmansour, and M. Tadjine, “Control, analysis and optimization of hybrid PV- diesel-battery systems for isolated rural city in Algeria,” Solar Energy, Vol. 137, No. 1, pp. 1-10, Nov. 2016. [14] A. Kornelakis, and Y. Marinakis, “Contribution for optimal sizing of grid-connected PV-systems using PSO,” Renewable Energy, Vol. 35, No. 6, pp. 1333- 1341, Jun. 2010. [15] S. Ahmadi, and S. Abdi, “Application of the hybrid big bang-big crunch algorithm for optimal sizing of a stand-alone hybrid PV/wind/battery system,” Solar Energy, Vol. 134, pp. 366-374, Sep. 2016. [16] M. Mohammadi, S.H. Hosseinian, and G.B Gharehpetian, “Optimization of hybrid solar energy sources/wind turbine systems integrated to utility grids as microgrid (MG) under pool/bilateral/hybrid electricity market using PSO,” Solar Energy, Vol. 86, No. 6, pp. 112-125, Jan. 2012. [17] A. Maleki, M.G. Khajeh, and M. Ameri, “Optimal sizing of a grid independent hybrid renewable energy system incorporating resource uncertainty and load uncertainty,” International Journal of Electrical Power & Energy Systems, Vol. 83, pp. 514-524, Dec. 2016. [18] W. Zhang, A. Maleki, M. Rosen, and J. Liu, “Sizing a stand-alone solar-wind-hydrogen energy system using weather forecasting and a hybrid search optimization algorithm,” Energy Conversion and Management, Vol. 180, pp. 609-621, Jan. 2019. [19] D. Yang, C. Jiang, G. Cai, and N. Huang, “Optimal sizing of a wind/solar/battery/diesel hybrid microgrid based on typical scenarios considering meteorological variability,” IET Renewable Power Generation, vol. 13, no. 9, pp. 1446-1455, 2019. [20] J. Duchaud, G. Notton, C. Darras, and C. Voyant, "Multi-Objective Particle Swarm optimal sizing of a renewable hybrid power plant with storage", Renewable Energy, vol. 131, pp. 1156-1167, Feb. 2019. [21] H.R. Baghaee, M. Mirsalim, G.B, Gharehpetian, and H.A. Talebi, “Reliability/cost-based multi-objective Pareto optimal design of stand-alone wind/PV/FC generation microgrid system,” Energy, Vol. 115, No. 1, pp. 1022-1041, Nov. 2016. [22] H. Belmili, M. Haddadi, S. Bacha, M.F. Almi, and B. Bendib, “Sizing stand-alone photovoltaic-wind hybrid system: Techno-economic analysis and optimization” Renewable and Sustainable Energy Reviews, Vol. 30 , pp. 821-832, Feb. 2014. [23] A. Maleki, M.G. Khajeh, and M, Ameri, “Optimal sizing of a grid independent hybrid renewable energy system incorporating resource uncertainty, and load uncertainty” International Journal of Electrical Power & Energy Systems, Vol. 83, pp. 514-524, Dec. 2016. [24] S.C. Gupta, Y. Kumar, and G. Agnihotri, “Design of an autonomous renewable hybrid power system,” International Journal of Renewable Energy Technology, Vol. 2, No. 1, pp. 86-104, Jan. 2011. [25] J. Farzaneh, R. Keypour, and A. Karsaz, “A novel fast maximum power point tracking for a PV system using hybrid PSO-ANFIS algorithm under partial shading conditions,” International Journal of Industrial Electronics, Control and Optimization, Vol. 2, No. 1, pp. 47-58, Nov. 2019. [26] M. Ramli, H. Bouchekara, and A.S. Alghamdi, “Optimal sizing of PV/wind/diesel hybrid microgrid system using multi-objective self-adaptive differential evolution algorithm,” Renewable Energy, Vol. 121, pp. 400-411, Jun. 2018. [27] M. Hossain, S. Mekhilef, and L. Olatomiwa, “Performance evaluation of a stand-alone PV-wind- diesel-battery hybrid system feasible for a large resort center in South China Sea, Malaysia,” Sustainable Cities and Society, Vol. 28, pp. 358-366, January 2017. [28] R. Eberhart, and J. Kennedy, “A new optimizer using particle swarm theory,” Proc Sixth Int Symp Micro Mach Hum Sci, pp. 39–43, 1995. [29] J.H. Seo, C.H. Im, C.G. Heo, J.K. Kim, H.K. Jung, and C.G. Lee, “Multimodal function optimization based on particle swarm optimization,” IEEE Trans Magnetics, Vol. 42, No. 4, pp. 1095-1098, Mar. 2006. [30] R. Storn, and K. Price, “Differential evolution - a simple and efficient heuristic for global optimization over continuous spaces,” Journal of Global Optimization, Vol. 11, pp. 341-359, 1997. [31] X.S. Yang, “Firefly algorithms for multimodal optimization,” International Symposium on Stochastic Algorithms, pp. 169-78, 2009. [32] Z. Geem, J. Kim, and G. V. Loganathan, “Anew heuristic optimization algorithm: Harmony search,” Simulation Vol. 76, pp. 60-68, Feb. 2001. [33] S. Mirjalili, “The ant lion optimizer,” Advances in Engineering Software, Vol. 83, pp. 80-98, May. 2015. [34] I. Scharf, A. Subach, and O. Ovadia, “Foraging behaviour and habitat selection in pit-building antlion larvae in constant light or dark conditions,” Animal Behaviour, Vol. 76, No. 6, pp. 2049-2057, Dec. 2008. [35] www.suna.org | ||
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