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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.

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  • 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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    11. Bruno Domenech & Laia Ferrer‐Martí & Rafael Pastor, 2019. "Comparison of various approaches to design wind‐PV rural electrification projects in remote areas of developing countries," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 8(3), May.
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    15. Edwin, M. & Sekhar, S. Joseph, 2015. "Thermal performance of milk chilling units in remote villages working with the combination of biomass, biogas and solar energies," Energy, Elsevier, vol. 91(C), pages 842-851.
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    18. Bahramara, Salah & Sheikhahmadi, Pouria & Golpîra, Hêmin, 2019. "Co-optimization of energy and reserve in standalone micro-grid considering uncertainties," Energy, Elsevier, vol. 176(C), pages 792-804.
    19. Xu, Xiandong & Jia, Hongjie & Wang, Dan & Yu, David C. & Chiang, Hsiao-Dong, 2015. "Hierarchical energy management system for multi-source multi-product microgrids," Renewable Energy, Elsevier, vol. 78(C), pages 621-630.
    20. Gong, Yu & Liu, Pan & Ming, Bo & Xu, Weifeng & Huang, Kangdi & Li, Xiao, 2021. "Deriving pack rules for hydro–photovoltaic hybrid power systems considering diminishing marginal benefit of energy," Applied Energy, Elsevier, vol. 304(C).
    21. Abhi Chatterjee & Daniel Burmester & Alan Brent & Ramesh Rayudu, 2019. "Research Insights and Knowledge Headways for Developing Remote, Off-Grid Microgrids in Developing Countries," Energies, MDPI, vol. 12(10), pages 1-19, May.
    22. Mandelli, Stefano & Barbieri, Jacopo & Mereu, Riccardo & Colombo, Emanuela, 2016. "Off-grid systems for rural electrification in developing countries: Definitions, classification and a comprehensive literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1621-1646.
    23. Khan, Meer A.M. & Rehman, S. & Al-Sulaiman, Fahad A., 2018. "A hybrid renewable energy system as a potential energy source for water desalination using reverse osmosis: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 456-477.
    24. Märkle-Huß, Joscha & Feuerriegel, Stefan & Neumann, Dirk, 2020. "Cost minimization of large-scale infrastructure for electricity generation and transmission," Omega, Elsevier, vol. 96(C).
    25. 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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