Abstract
In this paper, the genetic algorithm (GA) is applied to optimize a grid connected solar photovoltaic (PV)-wind-battery hybrid system using a novel energy filter algorithm. The main objective of this paper is to minimize the total cost of the hybrid system, while maintaining its reliability. Along with the reliability constraint, some of the important parameters, such as full utilization of complementary nature of PV and wind systems, fluctuations of power injected into the grid and the battery’s state of charge (SOC), have also been considered for the effective sizing of the hybrid system. A novel energy filter algorithm for smoothing the power injected into the grid has been proposed. To validate the proposed method, a detailed case study has been conducted. The results of the case study for different cases, with and without employing the energy filter algorithm, have been presented to demonstrate the effectiveness of the proposed sizing strategy.
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Mahesh A, Sandhu K S. Hybrid wind/photovoltaic energy system developments: critical review and findings. Renewable & Sustainable Energy Reviews, 2015, 52: 1135–1147
Yang H X, Lu L, Zhou W. A novel optimization sizing model for hybrid solar-wind power generation system. Solar Energy, 2007, 81(1): 76–84
Ekren O, Ekren B Y. Size optimization of a PV/wind hybrid energy conversion system with battery storage using simulated annealing. Applied Energy, 2010, 87(2): 592–598
Kaabeche A, Belhamel M, Ibtiouen R. Sizing optimization of gridindependent hybrid photovoltaic/wind power generation system. Energy, 2011, 36(2): 1214–1222
Kellogg WD, Nehrir MH, Venkataramanan G, Gerez V. Generation unit sizing and cost analysis for stand-alone wind, photovoltaic, and hybrid wind/PV systems. IEEE Transactions on Energy Conversion, 1998, 13(1): 70–75
Markvart T. Sizing of hybrid photovoltaic-wind energy systems. Solar Energy, 1996, 57(4): 277–281
Dufo-López R, Bernal-Agustín J L. Multi-objective design of PV-wind-diesel-hydrogen-battery systems. Renewable Energy, 2008, 33(12): 2559–2572
Dufo-López R, Bernal-Agustín J L, Yusta-Loyo J M, Domínguez-Navarro J A, Ramírez-Rosado I J, Lujano J, Aso I. Multi-objective optimization minimizing cost and life cycle emissions of standalone PV-wind-diesel systems with batteries storage. Applied Energy, 2011, 88(11): 4033–4041
Yang H X, Zhou W, Lu L, Fang Z H. Optimal sizing method for stand-alone hybrid solar-wind system with LPSP technology by using genetic algorithm. Solar Energy, 2008, 82(4): 354–367
Diaf S, Diaf D, Belhamel M, Haddadi M, Louche A. A methodology for optimal sizing of autonomous hybrid PV/wind system. Energy Policy, 2007, 35(11): 5708–5718
Ren H B, Zhou W S, Nakagami K, Gao W J, Wu Q. Multi-objective optimization for the operation of distributed energy systems considering economic and environmental aspects. Applied Energy, 2010, 87(12): 3642–3651
Zhao B, Zhang X S, Li P, Wang K, Xue M D, Wang C S. Optimal sizing, operating strategy and operational experience of a standalone microgrid on Dongfushan Island. Applied Energy, 2014, 113: 1656–1666
Sheng W X, Liu K Y, Meng X L, Ye X S, Liu Y M. Research and practice on typical modes and optimal allocation method for PVWind- ES in microgrid. Electric Power Systems Research, 2015, 120: 242–255
Yazdanpanah Jahromi M A, Farahat S, Barakati S M. Optimal size and cost analysis of stand-alone hybrid wind/photovoltaic powergeneration systems. Civil Engineering and Environmental Systems, 2014, 31(4): 283–303
Maleki A, Askarzadeh A. Artificial bee swarm optimization for optimum sizing of a standalone PV/WT/FC hybrid system considering LPSP concept. Solar Energy, 2014, 107: 227–235
Askarzadeh A. Solution for sizing a PV/diesel HPGS for isolated sites. IET Renewable Power Generation, 2017, 11(1): 143–151
Fetanat A, Khorasaninejad E. Size optimization for hybrid photovoltaic-wind energy system using ant colony optimization for continuous domains based integer programming. Applied Soft Computing, 2015, 31: 196–209
Zhao J Y, Yuan X F. Multi-objective optimization of stand-alone hybrid PV-wind-diesel-battery system using improved fruit fly optimization algorithm. Soft Computing, 2016, 20(7): 2841–2853
Ahmadi S, Abdi S. Application of the Hybrid Big Bang-Big Crunch algorithm for optimal sizing of a stand-alone hybrid PV/wind/ battery system. Solar Energy, 2016, 134: 366–374
Maleki A, Pourfayaz F, Rosen M A. A novel framework for optimal design of hybrid renewable energy-based autonomous energy systems: a case study for Namin, Iran. Energy, 2016, 98: 168–180
Tito S R, Lie T T, Anderson T N. Optimal sizing of a windphotovoltaic- battery hybrid renewable energy system considering socio-demographic factors. Solar Energy, 2016, 136: 525–532
Dufo-López R, Cristóbal-Monreal I R, Yusta J M. Optimisation of PV-wind-diesel-battery stand-alone systems to minimise cost and maximise human development index and job creation. Renewable Energy, 2016, 94: 280–293
Sandhu K S, Mahesh A. A new approach of sizing battery energy storage system for smoothing the power fluctuations of a PV/wind hybrid system. International Journal of Energy Research, 2016, 40(9): 1221–1234
Askarzadeh A. Electrical power generation by an optimised autonomous PV/wind/tidal/battery system. IET Renewable Power Generation, 2017, 11(1): 152–164
Li X J, Hui D, Lai X K. Battery energy storage station (BESS)-based smoothing control of photovoltaic (PV) and wind power generation fluctuations. IEEE Transactions on Sustainable Energy, 2013, 4(2):464–473
Li X J, Hui D, Wu L, Lai X K. Control strategy of battery state of charge for wind/battery hybrid power system. In: 2010 IEEE International Symposium on Industrial Electronics (ISIE2010), Bari, Italy, 2010, 2723–2726
Ahmed N A, Miyatake M, Al-Othman A K. Power fluctuations suppression of stand-alone hybrid generation combining solar photovoltaic/wind turbine and fuel cell systems. Energy Conversion and Management, 2008, 49(10): 2711–2719
Kim S K, Jeon J H, Cho C H, Ahn J B, Kwon S H. Dynamic modeling and control of a grid-connected hybrid generation system with versatile power transfer. IEEE Transactions on Industrial Electronics, 2008, 55(4): 1677–1688
Datta M, Senjyu T, Yona A, Funabashi T, Kim C H. A coordinated control method for leveling PV output power fluctuations of PV/ diesel hybrid systems connected to isolated power utility. IEEE Transactions on Energy Conversion, 2009, 24(1): 153–162
Omran W A, Kazerani M, Salama M M A. Investigation of methods for reduction of power fluctuations generated from large gridconnected photovoltaic systems. IEEE Transactions on Energy Conversion, 2011, 26(1): 318–327
Aissou S, Rekioua D, Mezzai N, Rekioua T, Bacha S. Modeling and control of hybrid photovoltaic wind power system with battery storage. Energy Conversion and Management, 2015, 89: 615–625
Datta M, Senjyu T, Yona A, Funabashi T. A fuzzy based method for leveling output power fluctuations of photovoltaic-diesel hybrid power system. Renewable Energy, 2011, 36(6): 1693–1703
Xu L, Ruan X B, Mao C X, Zhang B H, Luo Y. An improved optimal sizing method for wind-solar-battery hybrid power system. IEEE Transactions on Sustainable Energy, 2013, 4(3): 774–785
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Mahesh, A., Sandhu, K.S. A genetic algorithm based improved optimal sizing strategy for solar-wind-battery hybrid system using energy filter algorithm. Front. Energy 14, 139–151 (2020). https://doi.org/10.1007/s11708-017-0484-4
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DOI: https://doi.org/10.1007/s11708-017-0484-4