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Employing demand side management for selection of suitable scenario-wise isolated integrated renewal energy models in an Indian remote rural area

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  • Rajanna, S.
  • Saini, R.P.

Abstract

The present study focuses on optimal sizing of an integrated renewable energy (IRE) system with battery bank to meet the load demand of a cluster of four zones in Karnataka state of India. Hourly load demand has been simulated using HOMER software based on three scenarios - high investment with low (HILR) rating appliances, medium investment with moderate (MIMR) rating appliances, and low investment with high (LIHR) rating appliances. Simulation results of optimal size, total net present cost (TNPC) and cost of energy (COE) have been obtained using genetic algorithm (GA) considering different scenarios with and without DSM strategy by keeping energy index at 1. Results of three scenarios with DSM strategy were compared with those without DSM strategy. Based on the comparison of the results, scenario of HILR with DSM strategy is found to have minimum TNPC and COE for zone 1 and zone 2, while scenario of MIMR with DSM for zone 3 and LIHR with DSM for zone 4 are found to have least TNPC and COE. Further, obtained results of TNPC of GA have been validated by comparing PSO technique. It has been observed that, results of GA and PSO were found to be almost same.

Suggested Citation

  • Rajanna, S. & Saini, R.P., 2016. "Employing demand side management for selection of suitable scenario-wise isolated integrated renewal energy models in an Indian remote rural area," Renewable Energy, Elsevier, vol. 99(C), pages 1161-1180.
    • Handle: RePEc:eee:renene:v:99:y:2016:i:c:p:1161-1180
    DOI: 10.1016/j.renene.2016.08.024
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    Cited by:

    1. Suresh Vendoti & M. Muralidhar & R. Kiranmayi, 2021. "Techno-economic analysis of off-grid solar/wind/biogas/biomass/fuel cell/battery system for electrification in a cluster of villages by HOMER software," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(1), pages 351-372, January.
    2. Polamarasetty P Kumar & Ramakrishna S. S. Nuvvula & Md. Alamgir Hossain & SK. A. Shezan & Vishnu Suresh & Michal Jasinski & Radomir Gono & Zbigniew Leonowicz, 2022. "Optimal Operation of an Integrated Hybrid Renewable Energy System with Demand-Side Management in a Rural Context," Energies, MDPI, vol. 15(14), pages 1-50, July.
    3. Mayank Singh & Rakesh Chandra Jha, 2019. "Object-Oriented Usability Indices for Multi-Objective Demand Side Management Using Teaching-Learning Based Optimization," Energies, MDPI, vol. 12(3), pages 1-25, January.
    4. Samrat Chakraborty & Debottam Mukherjee & Pabitra Kumar Guchhait & Somudeep Bhattacharjee & Almoataz Youssef Abdelaziz & Adel El-Shahat, 2023. "Optimum Design of a Renewable-Based Integrated Energy System in Autonomous Mode for a Remote Hilly Location in Northeastern India," Energies, MDPI, vol. 16(4), pages 1-30, February.
    5. Su, Huai & Chi, Lixun & Zio, Enrico & Li, Zhenlin & Fan, Lin & Yang, Zhe & Liu, Zhe & Zhang, Jinjun, 2021. "An integrated, systematic data-driven supply-demand side management method for smart integrated energy systems," Energy, Elsevier, vol. 235(C).
    6. Damilola Elizabeth Babatunde & Olubayo Moses Babatunde & Tolulope Olusegun Akinbulire & Peter Olabisi Oluseyi, 2018. "Hybrid Energy Systems Model with the Inclusion of Energy Efficiency Measures: A Rural Application Perspective," International Journal of Energy Economics and Policy, Econjournals, vol. 8(4), pages 310-323.

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