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Optimal scheduling and operation of hybrid biomass/wind/PV energy system for rural areas

Author

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  • P. Balamurugan
  • S. Ashok
  • T.L. Jose

Abstract

In this paper, a hybrid energy system consisting of biomass, wind, solar photovoltaic (SPV) and battery, is proposed. The sources are operated to deliver energy at optimum efficiency. An optimisation model is developed to supply the available energy to the loads according to the priority. It is also proposed to maintain a fair level of energy storage to meet the peak load demand together with biomass, wind and SPV, during low or no solar radiation periods or during low wind periods. A case study is done using load data collected from three villages (300 km south of Chennai, India). Simulations carried out for one-year period proved the effectiveness of the developed energy management system by satisfying the load demand, non-linear seasonal variations and equipment constraints. Also, with the proposed energy management, it is found that most of the load demand is satisfied, the dumped energy is low and the state of charge of the battery is reasonably in good level. Economic analysis is also carried out and the cost of energy is found to be Rs. 4.20 (US$ 0.1095) per kWh.

Suggested Citation

  • P. Balamurugan & S. Ashok & T.L. Jose, 2009. "Optimal scheduling and operation of hybrid biomass/wind/PV energy system for rural areas," International Journal of Energy Technology and Policy, Inderscience Enterprises Ltd, vol. 7(1), pages 113-126.
    • Handle: RePEc:ids:ijetpo:v:7:y:2009:i:1:p:113-126
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    Citations

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    Cited by:

    1. Abo-Elyousr, Farag K. & Elnozahy, Ahmed, 2018. "Bi-objective economic feasibility of hybrid micro-grid systems with multiple fuel options for islanded areas in Egypt," Renewable Energy, Elsevier, vol. 128(PA), pages 37-56.
    2. Ramesh Kumar Arunachalam & Kumar Chandrasekaran & Eugen Rusu & Nagananthini Ravichandran & Hady H. Fayek, 2023. "Economic Feasibility of a Hybrid Microgrid System for a Distributed Substation," Sustainability, MDPI, vol. 15(4), pages 1-17, February.
    3. You, Siming & Tong, Huanhuan & Armin-Hoiland, Joel & Tong, Yen Wah & Wang, Chi-Hwa, 2017. "Techno-economic and greenhouse gas savings assessment of decentralized biomass gasification for electrifying the rural areas of Indonesia," Applied Energy, Elsevier, vol. 208(C), pages 495-510.
    4. Demirci, Alpaslan & Akar, Onur & Ozturk, Zafer, 2022. "Technical-environmental-economic evaluation of biomass-based hybrid power system with energy storage for rural electrification," Renewable Energy, Elsevier, vol. 195(C), pages 1202-1217.
    5. Akbas, Beste & Kocaman, Ayse Selin & Nock, Destenie & Trotter, Philipp A., 2022. "Rural electrification: An overview of optimization methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    6. Smarajit Ghosh & Vinod Karar, 2018. "Assimilation of Optimal Sized Hybrid Photovoltaic-Biomass System by Dragonfly Algorithm with Grid," Energies, MDPI, vol. 11(7), pages 1-19, July.
    7. Luerssen, Christoph & Gandhi, Oktoviano & Reindl, Thomas & Sekhar, Chandra & Cheong, David, 2020. "Life cycle cost analysis (LCCA) of PV-powered cooling systems with thermal energy and battery storage for off-grid applications," Applied Energy, Elsevier, vol. 273(C).
    8. 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.
    9. Sorrenti, Ilaria & Harild Rasmussen, Theis Bo & You, Shi & Wu, Qiuwei, 2022. "The role of power-to-X in hybrid renewable energy systems: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).

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