JOURNAL ARTICLE

Optimal design, techno-economic and sensitivity analysis of a grid-connected hybrid renewable energy system: a case study

Pujari Harish KumarR. Mageshvaran

Year: 2022 Journal:   International Journal of Emerging Electric Power Systems Vol: 24 (3)Pages: 287-318   Publisher: De Gruyter

Abstract

Abstract Integrating renewable resources with existing power system are rapidly increasing day by day, becoming an effective way to rural electrification where distribution system extension is not economically feasible. This research aims to design such an optimal grid-connected hybrid renewable energy system (HRES) modelled using solar, wind energy, diesel generator, battery storage, thermal loads, thermal load controller, and boiler. This system is designed to meet the load demand requirement of chintalayapalle village, Andhra Pradesh, India. The techno-economic, sensitivity analysis and cost-effective optimal configuration of this system have been performed using HOMER software. Totally eight configurations have been designed here and the optimal configuration have been identified based on the minimum net present cost (NPC), lowest cost of energy (COE), and the highest renewable fraction (RF). Results obtained shows that the optimally configured system is more environmentally friendly because of less carbon emission. Also, it would be more cost-effective when wind power becomes the main energy source and combined with moderate capacity of solar photovoltaic and battery.

Keywords:
Renewable energy Diesel generator Photovoltaic system Automotive engineering Hybrid system Computer science Environmental science Engineering Electrical engineering Diesel fuel

Metrics

6
Cited By
0.38
FWCI (Field Weighted Citation Impact)
34
Refs
0.60
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Hybrid Renewable Energy Systems
Physical Sciences →  Energy →  Energy Engineering and Power Technology
Energy and Environment Impacts
Physical Sciences →  Environmental Science →  Pollution
Microgrid Control and Optimization
Physical Sciences →  Engineering →  Control and Systems Engineering
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