Journal of Polymer & Composites Original Research Special issue

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

  1. Deep Lekhwani Department of Mechanical Engineering, Indian Institute of Technology Bhilai
  2. Ajay Tripathi Department of Mechanical Engineering, Government Engineering College, Raipur
  3. Deepika Kumbhkar Department of Mechanical Engineering, National Institute of Technology Raipur
  4. Govind Sahu Department of Mechanical Engineering, Government Engineering College, Raipur
  5. Jigyasa Dhankar Department of Mechanical Engineering, Government Engineering College, Raipur
  6. Uttam Kumar Sahu Department of Mechanical Engineering, Government Engineering College, Raipur

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

References (10)

  1. Optimal Planning of Hybrid Renewable Energy System Using HOMER in Sebesi Island, Indonesia. International Journal of Renewable Energy Research. 2021:1507-1516. doi:10.20508/ijrer.v11i4.12296.g8303
  2. Riayatsyah TMI, Geumpana TA, Fattah IMR, Mahlia TMI. Techno-Economic Analysis of Hybrid Diesel Generators and Renewable Energy for a Remote Island in the Indian Ocean Using HOMER Pro. Sustainability. 2022;14(16):9846. doi:10.3390/su14169846
  3. Riayatsyah TMI, Geumpana TA, Fattah IMR, Rizal S, Mahlia TMI. Techno-Economic Analysis and Optimisation of Campus Grid-Connected Hybrid Renewable Energy System Using HOMER Grid. Sustainability. 2022;14(13):7735. doi:10.3390/su14137735
  4. Sudibyo H, Pikra G, Fudholi A. The potential of hydro renewable energy technology to electricity remote villages in Papua and Maluku Islands, Indonesia. IOP Conf. Ser.: Earth Environ. Sci. 2021; 927(1): 012002. https://doi.org/10.1088/1755- 1315/927/1/012002.
  5. Alsagri AS, Alrobaian AA, Nejlaoui M. Techno-economic evaluation of an off-grid health clinic considering the current and future energy challenges: A rural case study. Renewable Energy. 2021;169: 34-18p.
  6. Majid A, Mohsin R, Mohsin AK, et al. Renewable Energy based sources-based hybrid microgrid system for off grid electricity solution for rural communities. Energy Sci Eng. 2023; 11(10):3486-13p.
  7. Gudes O, Kendall E, Yigitcanlar T, et al. Rethinking health planning: a framework for organizing information to underpin collaborative health planning. Health Inf Manage: J Health Inf Manage Assoc Aust. 2010; 39(2):18-11p.
  8. Amorndechaphon D, Premrudeepreechacharn S, Higuchi K, et al. Modified grid‐connected CSI for hybrid PV/wind power generation system. Int J Photoenergy. 2012; 2012: ‐12.
  9. Chang B, Starcher K. Evaluation of wind and solar energy investments in Texas. Renewable Energy. 2019;132:1348-1359. doi:10.1016/j.renene.2018.09.037
  10. Ali Sohani, Mohammad Hassan Shahverdian, Hoseyn Sayyaadi, Siamak Hoseinzadeh, Saim Memon. Enhancing the renewable energy payback period of a photovoltaic power generation system by water flow cooling. International Journal of Solar Thermal Vacuum Engineering. 2021;3(1):73-85. doi:10.37934/stve.3.1.7385
Support