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Steady-state modelling of hybrid energy system for off grid electrification of cluster of villages

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

Abstract

Electrification of villages from the main grid leads to large investments and losses, and this forms the basis of decentralized Hybrid Energy System. In order to evaluate the techno-economic performance of hybrid energy system for remote rural area electrification, a mixed integer linear mathematical programming model (time-series) has been developed to determine the optimal operation, optimal configuration including the assessment of the economic penetration levels of photovoltaic array area, and cost optimization for a hybrid energy generation system consisting of small/micro hydro based power generation, biogas based power generation, biomass (fuelwood) based power generation, photovoltaic array, a battery bank and a fossil fuel generator. An optimum control algorithm written in C++, based on combined dispatch strategy, allowing easy handling of the models and data of hybrid energy system components is presented. A special feature of the proposed model is that a cost constant (cost/unit) for each of the proposed resource is introduced in the cost objective function in such a way that resources with lesser unit cost share the greater of the total energy demand in an attempt to optimize the objective function.

Suggested Citation

  • Gupta, Ajai & Saini, R.P. & Sharma, M.P., 2010. "Steady-state modelling of hybrid energy system for off grid electrification of cluster of villages," Renewable Energy, Elsevier, vol. 35(2), pages 520-535.
    • Handle: RePEc:eee:renene:v:35:y:2010:i:2:p:520-535
    DOI: 10.1016/j.renene.2009.06.014
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    References listed on IDEAS

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    1. Dufo-López, Rodolfo & Bernal-Agustín, José L. & Contreras, Javier, 2007. "Optimization of control strategies for stand-alone renewable energy systems with hydrogen storage," Renewable Energy, Elsevier, vol. 32(7), pages 1102-1126.
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    4. 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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