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Optimal Operation of an Integrated Hybrid Renewable Energy System with Demand-Side Management in a Rural Context

Author

Listed:
  • Polamarasetty P Kumar

    (Department of Electrical and Electronics Engineering, GMR Institute of Technology, Rajam 532127, India)

  • Ramakrishna S. S. Nuvvula

    (Department of Electrical and Electronics Engineering, GMR Institute of Technology, Rajam 532127, India)

  • Md. Alamgir Hossain

    (Queensland Micro and Nano-Technology Centre, Griffith University, Nathan, QLD 4113, Australia)

  • SK. A. Shezan

    (Department of Electrical Engineering, Engineering Institute of Technology, Melbourne, VIC 3001, Australia)

  • Vishnu Suresh

    (Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland)

  • Michal Jasinski

    (Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland)

  • Radomir Gono

    (Department of Electrical Power Engineering, Faculty of Electrical Engineering and Computer Science, VSB—Technical University of Ostrava, 708 00 Ostrava, Czech Republic)

  • Zbigniew Leonowicz

    (Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland)

Abstract

A significant portion of the Indian population lives in villages, some of which are located in grid-disconnected remote areas. The supply of electricity to these villages is not feasible or cost-effective, but an autonomous integrated hybrid renewable energy system (IHRES) could be a viable alternative. Hence, this study proposed using available renewable energy resources in the study area to provide electricity and freshwater access for five un-electrified grid-disconnected villages in the Odisha state of India. This study concentrated on three different kinds of battery technologies such as lithium-ion (Li-Ion), nickel-iron (Ni-Fe), and lead-acid (LA) along with a diesel generator to maintain an uninterrupted power supply. Six different configurations with two dispatch strategies such as load following (LF) and cycle charging (CC) were modelled using nine metaheuristic algorithms to achieve an optimally configured IHRES in the MATLAB© environment. Initially, these six configurations with LF and CC strategies were evaluated with the load demands of a low-efficiency appliance usage-based scenario, i.e., without demand-side management (DSM). Later, the optimal configuration obtained from the low-efficiency appliance usage-based scenario was further evaluated with LF and CC strategies using the load demands of medium and high-efficiency appliance usage-based scenarios, i.e., with DSM. The results showed that the Ni-Fe battery-based IHRES with LF strategy using the high-efficiency appliance usage-based scenario had a lower life cycle cost of USD 522,945 as compared to other battery-based IHRESs with LF and CC strategies, as well as other efficiency-based scenarios. As compared to the other algorithms used in the study, the suggested Salp Swarm Algorithm demonstrated its fast convergence and robustness effectiveness in determining the global best optimum values. Finally, the sensitivity analysis was performed for the proposed configuration using variable input parameters such as biomass collection rate, interest rate, and diesel prices. The interest rate fluctuations were found to have a substantial impact on the system’s performance.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:14:p:5176-:d:864642
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    References listed on IDEAS

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    1. Zheng, Yingying & Jenkins, Bryan M. & Kornbluth, Kurt & Kendall, Alissa & Træholt, Chresten, 2018. "Optimization of a biomass-integrated renewable energy microgrid with demand side management under uncertainty," Applied Energy, Elsevier, vol. 230(C), pages 836-844.
    2. Patel, Alpesh M. & Singal, Sunil Kumar, 2019. "Optimal component selection of integrated renewable energy system for power generation in stand-alone applications," Energy, Elsevier, vol. 175(C), pages 481-504.
    3. 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.
    4. Rodríguez-Gallegos, Carlos D. & Gandhi, Oktoviano & Bieri, Monika & Reindl, Thomas & Panda, S.K., 2018. "A diesel replacement strategy for off-grid systems based on progressive introduction of PV and batteries: An Indonesian case study," Applied Energy, Elsevier, vol. 229(C), pages 1218-1232.
    5. Kyriakarakos, George & Piromalis, Dimitrios D. & Dounis, Anastasios I. & Arvanitis, Konstantinos G. & Papadakis, George, 2013. "Intelligent demand side energy management system for autonomous polygeneration microgrids," Applied Energy, Elsevier, vol. 103(C), pages 39-51.
    6. Chauhan, Anurag & Saini, R.P., 2016. "Techno-economic optimization based approach for energy management of a stand-alone integrated renewable energy system for remote areas of India," Energy, Elsevier, vol. 94(C), pages 138-156.
    7. Wang, Xiaonan & Palazoglu, Ahmet & El-Farra, Nael H., 2015. "Operational optimization and demand response of hybrid renewable energy systems," Applied Energy, Elsevier, vol. 143(C), pages 324-335.
    8. Marzband, Mousa & Ghadimi, Majid & Sumper, Andreas & Domínguez-García, José Luis, 2014. "Experimental validation of a real-time energy management system using multi-period gravitational search algorithm for microgrids in islanded mode," Applied Energy, Elsevier, vol. 128(C), pages 164-174.
    9. Upadhyay, Subho & Sharma, M.P., 2016. "Selection of a suitable energy management strategy for a hybrid energy system in a remote rural area of India," Energy, Elsevier, vol. 94(C), pages 352-366.
    10. Ogunjuyigbe, A.S.O. & Ayodele, T.R. & Akinola, O.A., 2016. "Optimal allocation and sizing of PV/Wind/Split-diesel/Battery hybrid energy system for minimizing life cycle cost, carbon emission and dump energy of remote residential building," Applied Energy, Elsevier, vol. 171(C), pages 153-171.
    11. Durlinger, Bart & Reinders, Angèle & Toxopeus, Marten, 2012. "A comparative life cycle analysis of low power PV lighting products for rural areas in South East Asia," Renewable Energy, Elsevier, vol. 41(C), pages 96-104.
    12. Upadhyay, Subho & Sharma, M.P., 2015. "Development of hybrid energy system with cycle charging strategy using particle swarm optimization for a remote area in India," Renewable Energy, Elsevier, vol. 77(C), pages 586-598.
    13. Li, Chong & Zhou, Dequn & Wang, Hui & Lu, Yuzheng & Li, Dongdong, 2020. "Techno-economic performance study of stand-alone wind/diesel/battery hybrid system with different battery technologies in the cold region of China," Energy, Elsevier, vol. 192(C).
    14. Kallel, Randa & Boukettaya, Ghada & Krichen, Lotfi, 2015. "Demand side management of household appliances in stand-alone hybrid photovoltaic system," Renewable Energy, Elsevier, vol. 81(C), pages 123-135.
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