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Modeling of integrated renewable energy system for electrification of a remote area in India

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  • Rajanna, S.
  • Saini, R.P.

Abstract

Over the years, renewable energy based power generation has proven to be a cost-effective solution in stand-alone applications in the regions where grid extension is difficult. The present study focused on the development of models for optimal sizing of integrated renewable energy (IRE) system to satisfy the energy needs in different load sectors of four different zones considered in Chamarajanagar district of Karnataka state in India. The objective of the study is to minimize the total cost of generation and cost of energy using genetic algorithm (GA) based approach. Considering optimization power factor (OPF) and expected energy not supplied (EENS), optimum system feasibility has been investigated. Based on the study, it has been found that IRES is able to provide a feasible solution between 1.0 and 0.8 OPF values. However, power deficit occurs at OPF values less than 0.8 and the proposed model becomes infeasible under such conditions. Customer interruption cost (CIC) and deficit energy (DE) for all zones were also computed to quantify the reliability of the systems.

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  • Rajanna, S. & Saini, R.P., 2016. "Modeling of integrated renewable energy system for electrification of a remote area in India," Renewable Energy, Elsevier, vol. 90(C), pages 175-187.
    • Handle: RePEc:eee:renene:v:90:y:2016:i:c:p:175-187
    DOI: 10.1016/j.renene.2015.12.067
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    9. Yaqoot, Mohammed & Diwan, Parag & Kandpal, Tara C., 2017. "Financial attractiveness of decentralized renewable energy systems – A case of the central Himalayan state of Uttarakhand in India," Renewable Energy, Elsevier, vol. 101(C), pages 973-991.
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    18. Nicu Bizon & Phatiphat Thounthong, 2020. "Energy Efficiency and Fuel Economy of a Fuel Cell/Renewable Energy Sources Hybrid Power System with the Load-Following Control of the Fueling Regulators," Mathematics, MDPI, vol. 8(2), pages 1-22, January.
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