Advertisement

PV-Battery Nanogrid Systems

  • Kaveh Rajab Khalilpour
  • Anthony Vassallo
Chapter
Part of the Green Energy and Technology book series (GREEN)

Abstract

With the rapid reduction in PV system prices in recent years, interest in the use of grid-connected PV generation and/or battery systems has notably increased. The previous chapter presented a methodology for concurrent optimal selection, sizing, and operation scheduling of grid-connected or off-grid DGS systems. Here, we focus on PV and battery sources as special DGS systems and study a few cases to investigate the performance of such systems in various conditions.

Keywords

Electricity Price Electricity Demand Battery System Electricity Bill Battery Size 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    IEA (2010) Technology roadmap-solar photovoltaic energy. International Energy Agency, ParisGoogle Scholar
  2. 2.
    Nourai A, Sastry R, Walker T (2010) A vision & strategy for deployment of energy storage in electric utilities. In: IEEE on power and energy society general meeting, 25–29 July 2010, pp 1–4Google Scholar
  3. 3.
    Roberts BP, Sandberg C (2011) The role of energy storage in development of smart grids. Proc IEEE 99(6):1139–1144Google Scholar
  4. 4.
    Gordon JM (1987) Optimal sizing of stand-alone photovoltaic solar power-systems. Sol Cells 20(4):295–313Google Scholar
  5. 5.
    Bucciarelli LL Jr (1984) Estimating loss-of-power probabilities of stand-alone photovoltaic solar energy systems. Sol Energy 32(2):205–209Google Scholar
  6. 6.
    Bucciarelli LL Jr (1986) The effect of day-to-day correlation in solar radiation on the probability of loss-of-power in a stand-alone photovoltaic energy system. Sol Energy 36(1):11–14Google Scholar
  7. 7.
    Ofry E, Braunstein A (1983) The loss of power supply probability as a technique for designing stand-alone solar electrical (photovoltaic) systems. IEEE Trans Power Apparatus Syst (PAS) 102(5):1171–1175Google Scholar
  8. 8.
    Egido M, Lorenzo E (1992) The sizing of stand alone Pv-systems—a review and a proposed new method. Sol Energy Mater Sol Cells 26(1–2):51–69Google Scholar
  9. 9.
    Peippo K, Lund PD (1994) Optimal sizing of grid-connected PV-systems for different climates and array orientations—a simulation study. Sol Energy Mater Sol Cells 35(1–4):445–451Google Scholar
  10. 10.
    Velasco G, Pique R, Guinjoan F, Casellas F, de la Hoz J (2010) Power sizing factor design of central inverter PV grid-connected systems: a simulation approach. Proceedings of 14th international power electronics and motion control conference (Epe-Pemc 2010)Google Scholar
  11. 11.
    Burger B, Ruther R (2005) Site-dependent system performance and optimal inverter sizing of grid-connected PV systems. In: Conference record of the thirty-first IEEE photovoltaic specialists conference—2005, pp 1675–1678Google Scholar
  12. 12.
    Velasco G et al (2006) Sizing factor considerations for grid-connected PV systems based on a central inverter configuration. IEEE Ind Elec: 2870–2874Google Scholar
  13. 13.
    Lorenzo E, Narvarte L (2000) On the usefulness of stand-alone PV sizing methods. Prog Photovoltaics 8(4):391–409Google Scholar
  14. 14.
    Fragaki A, Markvart T (2008) Stand-alone PV system design: results using a new sizing approach. Renew Energ 33(1):162–167Google Scholar
  15. 15.
    Kaplani E, Kaplanis S (2012) A stochastic simulation model for reliable PV system sizing providing for solar radiation fluctuations. Appl Energ 97:970–981Google Scholar
  16. 16.
    Lu B, Shahidehpour M (2005) Short-term scheduling of battery in a grid-connected PV/battery system. Power Syst IEEE Trans on 20(2):1053–1061Google Scholar
  17. 17.
    Kaushika ND, Gautam NK, Kaushik K (2005) Simulation model for sizing of stand-alone solar PV system with interconnected array. Sol Energy Mater Sol Cells 85(4):499–519Google Scholar
  18. 18.
    Mellit A, Kalogirou SA, Hontoria L, Shaari S (2009) Artificial intelligence techniques for sizing photovoltaic systems: A review. Renew Sust Energ Rev 13(2):406–419Google Scholar
  19. 19.
    Riffonneau Y et al (2011) Optimal power flow management for grid connected PV systems with batteries. IEEE Trans Sustain Energ 2(3):309–320Google Scholar
  20. 20.
    Yu R, Kleissl J, Martinez S (2013) Storage size determination for grid-connected photovoltaic systems. Sustain Energy IEEE Trans 4(1):68–81Google Scholar
  21. 21.
    Ratnam EL, Weller SR, Kellett CM (2013) An optimization-based approach for assessing the benefits of residential battery storage in conjunction with solar PV. In: Bulk power system dynamics and control—IX optimization, Security and control of the emerging power grid (IREP), 2013 IREP Symposium, 25–30 Aug 2013, pp 1–8Google Scholar
  22. 22.
    Halliday J, Markvart T, Ross JN (2003) Battery management for PV systems. Power Eng 17(1):46Google Scholar
  23. 23.
    Appelbaum J, Braunstein A, Bani J (1977) Performance analysis of a solar-electrical system with a load and storage batteries. Energy Convers 16(3):105–110Google Scholar
  24. 24.
    Fragaki A, Markvart T (2013) System memory effects in the sizing of stand-alone PV systems. Prog Photovoltaics 21(4):724–735Google Scholar
  25. 25.
    Pedram M et al (2010) Hybrid electrical energy storage systems. In: Paper presented at the proceedings of the 16th ACM/IEEE international symposium on low power electronics and design, Austin, Texas, USAGoogle Scholar
  26. 26.
    Stadler M et al (2014) Optimizing distributed energy resources and building retrofits with the strategic DER-CAModel. Appl Energ 132:557–567Google Scholar
  27. 27.
    Wang Y, Lin X, Pedram M, Park S, Chang N (2013) Optimal control of a grid-connected hybrid electrical energy storage system for homes. In: Design, automation and test in Europe conference and exhibition (DATE), 18–22 March 2013, pp 881–886Google Scholar
  28. 28.
    Kim Y, Park S, Chang N, Xie Q, Wang YZ, Pedram M (2012) Networked architecture for hybrid electrical energy storage systems. In: Proceedings of the 49th ACM/Edac/IEEE design automation conference (Dac), pp 522–528Google Scholar
  29. 29.
    Kim Y et al (2011) Balanced reconfiguration of storage banks in a hybrid electrical energy storage system. In: 2011 IEEE/ACM International conference on computer-aided design (Iccad), pp 624–631Google Scholar
  30. 30.
    Xie Q et al (2013) Charge allocation in hybrid electrical energy storage systems. IEEE Trans Comput-Aided Des Integr Circuits Syst 32(7):1003–1016Google Scholar
  31. 31.
    Xie Q et al (2012) Charge replacement in hybrid electrical energy storage systems. In: Proceedings of 2012 17th Asia and South Pacific design automation conference (Asp-Dac):627–632Google Scholar
  32. 32.
    Fesharaki VJ et al (2011) The effect of temperature on photovoltaic cell efficiency. In: Proceedings of the 1st international conference on emerging trends in energy conservation, Tehran, 20–21 Nov 2011Google Scholar
  33. 33.
    Solar-choice (2013) Solar PV price index-June 2013. http://www.solarchoice.net.au/blog/solar-pv-price-check-June-2013/. Accessed 31 Dec 2013
  34. 34.
    KEMA-Sandia (2012) ES-Select™ documentation and user’s manual-version 2.0. Sandia National LaboratoriesGoogle Scholar
  35. 35.
    IPART (2013) Solar feed-in tariffs-the subsidy-free value of electricity from small-scale solar PV units from 1 July 2013. Independent Pricing and Regulatory Tribunal of New South Wales, SydneyGoogle Scholar
  36. 36.
    Summers VM, Wimer JG (2011) QGESS: cost estimation methodology for NETL assessments of power plant performance. National Energy Technology Laboratory, USDOEGoogle Scholar

Copyright information

© Springer Science+Business Media Singapore 2016

Authors and Affiliations

  • Kaveh Rajab Khalilpour
    • 1
  • Anthony Vassallo
    • 1
  1. 1.School of Chemical and Biomolecular EngineeringUniversity of SydneySydneyAustralia

Personalised recommendations