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<p>Hybrid Renewable Energy Systems (HRES) offer very promising solutions for reliable as well as sustainable power generation. This paper presents a comprehensive comparative analysis of various HRES simulation and optimization tools, evaluating their capabilities in all aspects, including system modeling, economic analysis, and control design. Based on this assessment, HOMER Pro was selected for detailed analysis of a grid-connected hybrid renewable energy system proposed system considering the location of Faridabad, India. Three configurations—PV-Battery, PV-Battery-Grid, and PV-Wind-Battery-Grid—were simulated to study the effects of renewable integration on overall system cost, grid dependency, and storage needs. The analysis shows that the proposed system achieves a lower cost of energy with a PV-grid-battery combination, i.e., 0.100 USD/kWh, and the highest renewable fraction of 95.7% for a PV-wind-battery-grid based system with a unit cost of 0.339 USD/kWh. The results emphasize the trade-offs between cost and reliability, providing practical insights for tool selection as well as system design in similar regional contexts.</p>

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An empirical analysis of homer-based hybrid renewable energy systems for Faridabad, India

  • 期刊论文

  • 发表日期：

    2025年9月11日

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  • Gaganjot Kaur,
  • Mandeep Kaur,
  • Neelu Chaudhary,
  • Mandeep Singh,
  • Mayank Kumar Goyal,
  • Ritika Wason

摘要

Hybrid Renewable Energy Systems (HRES) offer very promising solutions for reliable as well as sustainable power generation. This paper presents a comprehensive comparative analysis of various HRES simulation and optimization tools, evaluating their capabilities in all aspects, including system modeling, economic analysis, and control design. Based on this assessment, HOMER Pro was selected for detailed analysis of a grid-connected hybrid renewable energy system proposed system considering the location of Faridabad, India. Three configurations—PV-Battery, PV-Battery-Grid, and PV-Wind-Battery-Grid—were simulated to study the effects of renewable integration on overall system cost, grid dependency, and storage needs. The analysis shows that the proposed system achieves a lower cost of energy with a PV-grid-battery combination, i.e., 0.100 USD/kWh, and the highest renewable fraction of 95.7% for a PV-wind-battery-grid based system with a unit cost of 0.339 USD/kWh. The results emphasize the trade-offs between cost and reliability, providing practical insights for tool selection as well as system design in similar regional contexts.