Modeling of integrated renewable energy system for electrification of a remote area in India. (May 2016)

• Record Type: Journal Article
• Authors: Rajanna, S.; Saini, R.P.
• Is Part Of: Renewable energy. Volume 90(2016)
• Page Start: 175
• Page End: 187
• Publication Date: 2016-05
• Subjects: Genetic algorithm -- Off grid electrification -- Integrated renewable energy system -- Customer interruption cost -- Levelized cost of energy; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.renene.2015.12.067
• Languages: English
• ISSNs: 0960-1481

Abstract

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. Highlights: The present modeling represents an IRES for a region of chamarajanagara district of Karnataka state in India. Optimal cost and cost of energy of system are obtained based on levelized cost of energy using GA. System feasibility solution has been investigated based on OPF and expected energy not supplied.