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Comparative Study on Storage Devices for Standalone Hybrid Energy Systems


  • Department of Electrical and Electronics Engineering, SRM University, Chennai - 603203, Tamil Nadu, India


Background/Objectives: The intermittency in the renewable sources is a great menace to the quality of the power delivered and to the lifetime of the components. In the process of straightening up the short coming storage devices come in handy. Methods/Statistical Analysis: Batteries and fuel cells are the commonly used storage devices for Photovoltaic system. Recently ultra-capacitors are introduced in combination with storage devices as it has a better power density as compared to batteries and fuel cells. Also, the ultra-capacitors can provide higher energy for a short period of time. This paper deals with comparison of different storage devices incorporated with the Photovoltaic panels. A combination of PV/battery, PV/fuel cell and PV/battery/ultra-capacitor are taken into consideration. Findings: The number of PV panels in parallel, number of batteries in parallel and the number of fuel cells are the variables that are considered for the minimization of cost and Expected Energy Not Served (EENS) using the Non-dominated Sorting Genetic Algorithm II (NSGA-II) in MATLAB programming environment. The load profile and the solar irradiation data of Zaragoza (Spain) are considered for implementation. It is finally concluded that PV/battery/ultra-capacitor combination gives minimum cost and EENS as compared to the PV/battery and PV/fuel cell based systems. Applications: This can be applied as an optimization tool to bring out the conclusion in choosing an appropriate storage device, in combination with the renewable PV based standalone system.


Expected Energy Not Served, Photovoltaic Panels, Proton Exchange Membrane Fuel Cell, State of Charge, Ultra-Capacitor.

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  • Dufo-Lopez R, Jose L, Agustín B. Design and control strategies of PV-diesel systems using Genetic Algorithms. Elsevier - Solar Energy. 2005; 79:33–46.
  • Lajnef W, Vinassa JM, Briat O, Azzopardi S, Woirgard E. Characterization methods and modelling of ultra-capacitors for use as peak power sources. Journal of Power Sources.2007; 168:553–60.
  • Ould Bilala B, Sambou V, FKebe CM, Ndiaye PA, Ndongo M. Methodology to size an optimal standalone PV/ wind/diesel/battery system minimizing the levelized cost of energy and the CO2 emissions. Energy Procedia. 2012; 14:1636–47.
  • Farahat S, Yazdanpanah Jahromi MA, Barakati SM. Modeling and sizing optimization of standalone hybrid renewable energy systems. International Conference on Mechanical, Nanotechnology and Cryogenics Engineering(ICMNC’2012); 2012 Aug, p. 25–6.
  • Hakimi SM, Tafreshi SMM, Kashefi A. Unit sizing of a standalone hybrid power system using Particle Swarm Optimization (PSO). Proceedings of the IEEE International Conference on Automation and Logistics; 2007 Aug.
  • Yang H, Zhou W, Lu L, Fang Z. Optimal sizing method for standalone hybrid solar–wind system with LPSP technology by using Genetic Algorithm. Solar Energy. 2008; 82:354–67.
  • Li CH, Zhu XJ, Cao GY, Sui S, Hu MR. Dynamic modeling and sizing optimization of standalone Photovoltaic power systems using hybrid energy storage technology. Renewable Energy. 2009; 34:815–26.
  • Kaabeche A, Belhamel M, Ibtiouen R. Sizing optimization of grid-independent hybrid Photovoltaic/wind power generation system. Energy. 2011; 36:1214–22.
  • Gao L, Jiang Z, Dougal RA. An actively controlled fuel cell/ battery hybrid to meet pulsed power demands. Journal of Power Sources. 2004; 130:202–7.
  • Saha TK, Kastha D. Design optimization and dynamic performance analysis of a standalone hybrid wind–diesel electrical power generation system. IEEE Transactions on Energy Conversion. 2010 Dec; 25(4):1209–17.
  • Yang H, Lu L, Zhou W. A novel optimization sizing model for hybrid solar-wind power generation system. Solar Energy.2007; 81:76–84.
  • Souleman NM, Tremblay O, Dessaint LA. A generic fuel cell model for the simulation of fuel cell power systems.IEEE Power and Energy Society General Meeting; 2009 Jul.
  • Xin K, Khambadkone AM. Dynamic modelling of fuel cell with power electronic. IEEE; 2003.
  • Somanath N, Seshi Reddy D. Efficient power management strategies for inter-grid connected PV-FC hybrid system.Indian Journal of Science and Technology. 2015 Sep; 8(22).
  • Yu Q, Srivastava AK, Choe SY, Gao W. Improved modeling and control of a PEM fuel cell power system for vehicles.IEEE Proceedings of the SoutheastCon; 2006.
  • Kim MJ, Peng H, Lin CC, Stamos E, Tran D. Testing, modeling and control of a fuel cell hybrid vehicle. American Control Conference; 2005 Jun. p. 3859–64.
  • Thounthong P, Chunkag V, Sethakul P, Sikkabut S, Pierfederici S, Davat B. Energy management of fuel cell/solar cell/super capacitor hybrid power source. Journal of Power Sources. 2011; 196:313–24.
  • Cericola D, Ruch PW, Kotz R, Novak P, Wokaun A. Simulation of a super capacitor/Li-ion battery hybrid for pulsed applications. Journal of Power Sources. 2010; 195:2731–6.
  • Li J, Chen Y, Liu Y. Research on a standalone Photovoltaic system with a super capacitor as the energy storage device.Energy Procedia.2012; 16:1693–700.


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