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Components sizing of hybrid energy systems via the optimization of power dispatch simulations

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  • Zhang, Xiongwen
  • Tan, Siew-Chong
  • Li, Guojun
  • Li, Jun
  • Feng, Zhenping

Abstract

A hybrid energy system comprising the diesel generator (DG), photovoltaic (PV) panels, and battery bank is well suited for installation as a decentralized power generation system for the electrification of remote rural households in the developing countries. This paper proposes a new methodology for the components sizing of hybrid energy system based on the optimization of the power dispatch simulations. The optimization of the power dispatch with the operation of hybrid system is implemented by minimizing the cost of energy (COE) with consideration to the capital depreciation cost, fuel cost, emissions damage cost and maintenance cost. A hybrid system applicable to Alaminos, Philippines was studied using the proposed methodology. The simulation results show that the proposed sizing search method can lead to the convergence of the optimal objective solutions with reduction to its computational load. Two sizing solutions for the hybrid energy system are presented. The optimized power dispatch schedules and cost compositions of COE are analyzed in detail.

Suggested Citation

  • Zhang, Xiongwen & Tan, Siew-Chong & Li, Guojun & Li, Jun & Feng, Zhenping, 2013. "Components sizing of hybrid energy systems via the optimization of power dispatch simulations," Energy, Elsevier, vol. 52(C), pages 165-172.
    • Handle: RePEc:eee:energy:v:52:y:2013:i:c:p:165-172
    DOI: 10.1016/j.energy.2013.01.013
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    1. Kashefi Kaviani, A. & Riahy, G.H. & Kouhsari, SH.M., 2009. "Optimal design of a reliable hydrogen-based stand-alone wind/PV generating system, considering component outages," Renewable Energy, Elsevier, vol. 34(11), pages 2380-2390.
    2. Zhou, Wei & Lou, Chengzhi & Li, Zhongshi & Lu, Lin & Yang, Hongxing, 2010. "Current status of research on optimum sizing of stand-alone hybrid solar-wind power generation systems," Applied Energy, Elsevier, vol. 87(2), pages 380-389, February.
    3. Phuangpornpitak, N. & Kumar, S., 2007. "PV hybrid systems for rural electrification in Thailand," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(7), pages 1530-1543, September.
    4. Lagorse, Jeremy & Paire, Damien & Miraoui, Abdellatif, 2009. "Sizing optimization of a stand-alone street lighting system powered by a hybrid system using fuel cell, PV and battery," Renewable Energy, Elsevier, vol. 34(3), pages 683-691.
    5. Garcia, Raquel S. & Weisser, Daniel, 2006. "A wind–diesel system with hydrogen storage: Joint optimisation of design and dispatch," Renewable Energy, Elsevier, vol. 31(14), pages 2296-2320.
    6. Mellit, Adel & Kalogirou, Soteris A. & Drif, Mahmoud, 2010. "Application of neural networks and genetic algorithms for sizing of photovoltaic systems," Renewable Energy, Elsevier, vol. 35(12), pages 2881-2893.
    7. Roth, Ian F. & Ambs, Lawrence L., 2004. "Incorporating externalities into a full cost approach to electric power generation life-cycle costing," Energy, Elsevier, vol. 29(12), pages 2125-2144.
    8. Kamel, Sami & Dahl, Carol, 2005. "The economics of hybrid power systems for sustainable desert agriculture in Egypt," Energy, Elsevier, vol. 30(8), pages 1271-1281.
    9. Kaabeche, A. & Belhamel, M. & Ibtiouen, R., 2011. "Sizing optimization of grid-independent hybrid photovoltaic/wind power generation system," Energy, Elsevier, vol. 36(2), pages 1214-1222.
    10. Erdinc, O. & Uzunoglu, M., 2012. "Optimum design of hybrid renewable energy systems: Overview of different approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(3), pages 1412-1425.
    11. Jallouli, Rihab & Krichen, Lotfi, 2012. "Sizing, techno-economic and generation management analysis of a stand alone photovoltaic power unit including storage devices," Energy, Elsevier, vol. 40(1), pages 196-209.
    12. Kaldellis, J.K. & Zafirakis, D. & Kondili, E., 2009. "Optimum autonomous stand-alone photovoltaic system design on the basis of energy pay-back analysis," Energy, Elsevier, vol. 34(9), pages 1187-1198.
    13. Arun, P. & Banerjee, Rangan & Bandyopadhyay, Santanu, 2008. "Optimum sizing of battery-integrated diesel generator for remote electrification through design-space approach," Energy, Elsevier, vol. 33(7), pages 1155-1168.
    14. Nicolin, Flavio & Verda, Vittorio, 2011. "Lifetime optimization of a molten carbonate fuel cell power system coupled with hydrogen production," Energy, Elsevier, vol. 36(4), pages 2235-2241.
    15. Prasad, A. Rajendra & Natarajan, E., 2006. "Optimization of integrated photovoltaic–wind power generation systems with battery storage," Energy, Elsevier, vol. 31(12), pages 1943-1954.
    16. Zhou, Wei & Yang, Hongxing & Fang, Zhaohong, 2008. "Battery behavior prediction and battery working states analysis of a hybrid solar–wind power generation system," Renewable Energy, Elsevier, vol. 33(6), pages 1413-1423.
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