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Modelling of hybrid energy system—Part I: Problem formulation and model development

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  • Gupta, Ajai
  • Saini, R.P.
  • Sharma, M.P.

Abstract

A well designed hybrid energy system can be cost effective, has a high reliability and can improve the quality of life in remote rural areas. The economic constraints can be met, if these systems are fundamentally well designed, use appropriate technology and make use effective dispatch control techniques. The first paper of this tri-series paper, presents the analysis and design of a mixed integer linear mathematical programming model (time series) to determine the optimal operation and cost optimization for a hybrid energy generation system consisting of a photovoltaic array, biomass (fuelwood), biogas, small/micro-hydro, a battery bank and a fossil fuel generator. The optimization is aimed at minimizing the cost function based on demand and potential constraints. Further, mathematical models of all other components of hybrid energy system are also developed. This is the generation mix of the remote rural of India; it may be applied to other rural areas also.

Suggested Citation

  • Gupta, Ajai & Saini, R.P. & Sharma, M.P., 2011. "Modelling of hybrid energy system—Part I: Problem formulation and model development," Renewable Energy, Elsevier, vol. 36(2), pages 459-465.
  • Handle: RePEc:eee:renene:v:36:y:2011:i:2:p:459-465
    DOI: 10.1016/j.renene.2010.06.035
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    as
    1. Jebaraj, S. & Iniyan, S., 2006. "A review of energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(4), pages 281-311, August.
    2. Hiremath, R.B. & Shikha, S. & Ravindranath, N.H., 2007. "Decentralized energy planning; modeling and application--a review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(5), pages 729-752, June.
    3. 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.
    4. Jana, Chinmoy & Chattopadhyay, R.N., 2004. "Block level energy planning for domestic lighting—a multi-objective fuzzy linear programming approach," Energy, Elsevier, vol. 29(11), pages 1819-1829.
    5. Nouni, M.R. & Mullick, S.C. & Kandpal, T.C., 2007. "Biomass gasifier projects for decentralized power supply in India: A financial evaluation," Energy Policy, Elsevier, vol. 35(2), pages 1373-1385, February.
    6. Ashok, S., 2007. "Optimised model for community-based hybrid energy system," Renewable Energy, Elsevier, vol. 32(7), pages 1155-1164.
    7. Diaf, S. & Diaf, D. & Belhamel, M. & Haddadi, M. & Louche, A., 2007. "A methodology for optimal sizing of autonomous hybrid PV/wind system," Energy Policy, Elsevier, vol. 35(11), pages 5708-5718, November.
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    21. Barbaro, Marco & Castro, Rui, 2020. "Design optimisation for a hybrid renewable microgrid: Application to the case of Faial island, Azores archipelago," Renewable Energy, Elsevier, vol. 151(C), pages 434-445.
    22. Märkle-Huß, Joscha & Feuerriegel, Stefan & Neumann, Dirk, 2020. "Cost minimization of large-scale infrastructure for electricity generation and transmission," Omega, Elsevier, vol. 96(C).
    23. Ho, W.S. & Hashim, H. & Lim, J.S., 2014. "Integrated biomass and solar town concept for a smart eco-village in Iskandar Malaysia (IM)," Renewable Energy, Elsevier, vol. 69(C), pages 190-201.
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