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A Simple Sizing Algorithm for Stand-Alone PV/Wind/Battery Hybrid Microgrids

Author

Listed:
  • Jing Li

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Wei Wei

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Ji Xiang

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

Abstract

In this paper, we develop a simple algorithm to determine the required number of generating units of wind-turbine generator and photovoltaic array, and the associated storage capacity for stand-alone hybrid microgrid. The algorithm is based on the observation that the state of charge of battery should be periodically invariant. The optimal sizing of hybrid microgrid is given in the sense that the life cycle cost of system is minimized while the given load power demand can be satisfied without load rejection. We also report a case study to show the efficacy of the developed algorithm.

Suggested Citation

  • Jing Li & Wei Wei & Ji Xiang, 2012. "A Simple Sizing Algorithm for Stand-Alone PV/Wind/Battery Hybrid Microgrids," Energies, MDPI, vol. 5(12), pages 1-17, December.
    • Handle: RePEc:gam:jeners:v:5:y:2012:i:12:p:5307-5323:d:22220
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    References listed on IDEAS

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    Cited by:

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    2. Theo, Wai Lip & Lim, Jeng Shiun & Ho, Wai Shin & Hashim, Haslenda & Lee, Chew Tin, 2017. "Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 531-573.
    3. Shane Phelan & Paula Meehan & Stephen Daniels, 2013. "Using Atmospheric Pressure Tendency to Optimise Battery Charging in Off-Grid Hybrid Wind-Diesel Systems for Telecoms," Energies, MDPI, vol. 6(6), pages 1-20, June.
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    5. Mazhar Abbas & Eung-sang Kim & Seul-ki Kim & Yun-su Kim, 2016. "Comparative Analysis of Battery Behavior with Different Modes of Discharge for Optimal Capacity Sizing and BMS Operation," Energies, MDPI, vol. 9(10), pages 1-19, October.
    6. Berrada, Asmae & Loudiyi, Khalid, 2016. "Operation, sizing, and economic evaluation of storage for solar and wind power plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1117-1129.
    7. Hua Han & Lang Li & Lina Wang & Mei Su & Yue Zhao & Josep M. Guerrero, 2017. "A Novel Decentralized Economic Operation in Islanded AC Microgrids," Energies, MDPI, vol. 10(6), pages 1-18, June.
    8. Angelos Angelopoulos & Aphrodite Ktena & Christos Manasis & Stamatis Voliotis, 2019. "Impact of a Periodic Power Source on a RES Microgrid," Energies, MDPI, vol. 12(10), pages 1-15, May.
    9. Mariaud, Arthur & Acha, Salvador & Ekins-Daukes, Ned & Shah, Nilay & Markides, Christos N., 2017. "Integrated optimisation of photovoltaic and battery storage systems for UK commercial buildings," Applied Energy, Elsevier, vol. 199(C), pages 466-478.
    10. Ranaboldo, Matteo & García-Villoria, Alberto & Ferrer-Martí, Laia & Pastor Moreno, Rafael, 2014. "A heuristic method to design autonomous village electrification projects with renewable energies," Energy, Elsevier, vol. 73(C), pages 96-109.
    11. Nordin, Nur Dalilah & Rahman, Hasimah Abdul, 2019. "Comparison of optimum design, sizing, and economic analysis of standalone photovoltaic/battery without and with hydrogen production systems," Renewable Energy, Elsevier, vol. 141(C), pages 107-123.
    12. Mortaz, Ebrahim & Vinel, Alexander & Dvorkin, Yury, 2019. "An optimization model for siting and sizing of vehicle-to-grid facilities in a microgrid," Applied Energy, Elsevier, vol. 242(C), pages 1649-1660.
    13. Dawoud, Samir M. & Lin, Xiangning & Okba, Merfat I., 2018. "Hybrid renewable microgrid optimization techniques: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2039-2052.

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