Modelling, Simulation & Optimization of Renewable Energy-Based Hybrid Microgrid for Electrification of Rural Areas

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This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2026 | Volume : 14 | 02 | Page :
    By

    Deep Lekhwani,

  • Ajay Tripathi,

  • Deepika Kumbhkar,

  • Govind Sahu,

  • Jigyasa Dhankar,

  • Uttam Kumar Sahu,

  1. Student, Department of Mechanical Engineering, Indian Institute of Technology, Bhilai, Chhattisgarh, India
  2. Professor, Department of Mechanical Engineering, Government Engineering College, Raipur, Chhattisgarh, India
  3. Student, Department of Mechanical Engineering, National Institute of technology Raipur, Chhattisgarh, India
  4. Assistant Professor, Department of Mechanical Engineering, Government Engineering College, Raipur, Chhattisgarh, India
  5. Student, Department of Mechanical Engineering, Government Engineering College, Raipur, Chhattisgarh, India
  6. Student, Department of Mechanical Engineering, Government Engineering College, Raipur, Chhattisgarh, India

Abstract

Rural electrification in India faces persistent challenges due to unreliable grid connectivity, elevated transmission and distribution costs, and the geographical isolation of remote communities. Insufficient access to reliable electricity constrains economic development, educational opportunities, healthcare delivery, and overall quality of life in these areas. This study details the design and simulation of an off-grid, renewable-based hybrid micro grid for two rural villages: Khirgitola in Chhattisgarh, which has an electrification rate of 45%, and Akya in Madhya Pradesh, where grid access is intermittent and inadequate for daily needs. The estimated energy demands for Khirgitola and Akya are approximately 151 kWh/day and 132 kWh/day, respectively, with peak loads arising primarily from household appliances, lighting, irrigation pumps, and community infrastructure. To address these challenges, a hybrid micro grid integrating solar photovoltaic (PV) systems, battery energy storage, and a wind turbine is proposed. The system design prioritizes reliability, sustainability, and adaptability to local resource conditions. MATLAB-based simulations are utilized to evaluate technical feasibility, incorporating real-time solar irradiance and wind data. Additionally, a techno-economic analysis using HOMER software assesses various system configurations to determine the most cost-effective and environmentally sustainable energy mix. The findings indicate that a high proportion of renewable energy can be achieved through optimized resource allocation, substantially reducing reliance on conventional fossil fuels. The proposed hybrid micro grid enhances long-term energy accessibility, affordability, and resilience, thereby supporting sustainable rural development and improving socio-economic outcomes in underserved communities.

Keywords: Hybrid Optimization Model for Electric Renewable (HOMER), Hybrid PV-wind system, Net Present Cost (NPC), Renewable energy, Payback Period.

How to cite this article:
Deep Lekhwani, Ajay Tripathi, Deepika Kumbhkar, Govind Sahu, Jigyasa Dhankar, Uttam Kumar Sahu. Modelling, Simulation & Optimization of Renewable Energy-Based Hybrid Microgrid for Electrification of Rural Areas. Journal of Polymer & Composites. 2026; 14(02):-.
How to cite this URL:
Deep Lekhwani, Ajay Tripathi, Deepika Kumbhkar, Govind Sahu, Jigyasa Dhankar, Uttam Kumar Sahu. Modelling, Simulation & Optimization of Renewable Energy-Based Hybrid Microgrid for Electrification of Rural Areas. Journal of Polymer & Composites. 2026; 14(02):-. Available from: https://journals.stmjournals.com/jopc/article=2026/view=240962


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Ahead of Print Subscription Original Research
Volume 14
02
Received 15/09/2025
Accepted 29/09/2025
Published 25/04/2026
Publication Time 222 Days
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