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Modelling of hybrid energy system—Part II: Combined dispatch strategies and solution algorithm

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  • Gupta, Ajai
  • Saini, R.P.
  • Sharma, M.P.

Abstract

Computer simulation is an increasingly popular tool for determining the most suitable hybrid energy system type, design and control for an isolated community or a cluster of villages. This paper presents the development of the optimum control algorithm based on combined dispatch strategies, to achieve the optimal cost of battery incorporated hybrid energy system for electricity generation, during a period of time by solving the mathematical model, which was developed in Part I of this tri-series paper.

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  • Gupta, Ajai & Saini, R.P. & Sharma, M.P., 2011. "Modelling of hybrid energy system—Part II: Combined dispatch strategies and solution algorithm," Renewable Energy, Elsevier, vol. 36(2), pages 466-473.
    • Handle: RePEc:eee:renene:v:36:y:2011:i:2:p:466-473
    DOI: 10.1016/j.renene.2009.04.035
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    1. Dufo-López, Rodolfo & Bernal-Agustín, José L. & Contreras, Javier, 2007. "Optimization of control strategies for stand-alone renewable energy systems with hydrogen storage," Renewable Energy, Elsevier, vol. 32(7), pages 1102-1126.
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    5. Edwin, M. & Joseph Sekhar, S., 2018. "Techno- Economic evaluation of milk chilling unit retrofitted with hybrid renewable energy system in coastal province," Energy, Elsevier, vol. 151(C), pages 66-78.
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    7. Torreglosa, Juan P. & García, Pablo & Fernández, Luis M. & Jurado, Francisco, 2015. "Energy dispatching based on predictive controller of an off-grid wind turbine/photovoltaic/hydrogen/battery hybrid system," Renewable Energy, Elsevier, vol. 74(C), pages 326-336.
    8. Rodríguez-Gallegos, Carlos D. & Vinayagam, Lokesh & Gandhi, Oktoviano & Yagli, Gokhan Mert & Alvarez-Alvarado, Manuel S. & Srinivasan, Dipti & Reindl, Thomas & Panda, S.K., 2021. "Novel forecast-based dispatch strategy optimization for PV hybrid systems in real time," Energy, Elsevier, vol. 222(C).
    9. Chauhan, Anurag & Saini, R.P., 2017. "Size optimization and demand response of a stand-alone integrated renewable energy system," Energy, Elsevier, vol. 124(C), pages 59-73.
    10. Hashim, Haslenda & Ho, Wai Shin & Lim, Jeng Shiun & Macchietto, Sandro, 2014. "Integrated biomass and solar town: Incorporation of load shifting and energy storage," Energy, Elsevier, vol. 75(C), pages 31-39.
    11. Yılmaz, Sebnem & Selim, Hasan, 2013. "A review on the methods for biomass to energy conversion systems design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 420-430.
    12. Barbaro, Marco & Castro, Rui, 2020. "Design optimisation for a hybrid renewable microgrid: Application to the case of Faial island, Azores archipelago," Renewable Energy, Elsevier, vol. 151(C), pages 434-445.
    13. Edwin, M. & Sekhar, S. Joseph, 2015. "Thermal performance of milk chilling units in remote villages working with the combination of biomass, biogas and solar energies," Energy, Elsevier, vol. 91(C), pages 842-851.
    14. Chauhan, Anurag & Saini, R.P., 2016. "Discrete harmony search based size optimization of Integrated Renewable Energy System for remote rural areas of Uttarakhand state in India," Renewable Energy, Elsevier, vol. 94(C), pages 587-604.
    15. Bahramara, Salah & Sheikhahmadi, Pouria & Golpîra, Hêmin, 2019. "Co-optimization of energy and reserve in standalone micro-grid considering uncertainties," Energy, Elsevier, vol. 176(C), pages 792-804.
    16. Xu, Xiandong & Jia, Hongjie & Wang, Dan & Yu, David C. & Chiang, Hsiao-Dong, 2015. "Hierarchical energy management system for multi-source multi-product microgrids," Renewable Energy, Elsevier, vol. 78(C), pages 621-630.
    17. Khodr, H.M. & El Halabi, N. & García-Gracia, M., 2012. "Intelligent renewable microgrid scheduling controlled by a virtual power producer: A laboratory experience," Renewable Energy, Elsevier, vol. 48(C), pages 269-275.
    18. Abhi Chatterjee & Daniel Burmester & Alan Brent & Ramesh Rayudu, 2019. "Research Insights and Knowledge Headways for Developing Remote, Off-Grid Microgrids in Developing Countries," Energies, MDPI, vol. 12(10), pages 1-19, May.
    19. Mandelli, Stefano & Barbieri, Jacopo & Mereu, Riccardo & Colombo, Emanuela, 2016. "Off-grid systems for rural electrification in developing countries: Definitions, classification and a comprehensive literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1621-1646.
    20. Peffley, Trevor B. & Pearce, Joshua M., 2020. "The potential for grid defection of small and medium sized enterprises using solar photovoltaic, battery and generator hybrid systems," Renewable Energy, Elsevier, vol. 148(C), pages 193-204.
    21. Ho, W.S. & Hashim, H. & Lim, J.S., 2014. "Integrated biomass and solar town concept for a smart eco-village in Iskandar Malaysia (IM)," Renewable Energy, Elsevier, vol. 69(C), pages 190-201.
    22. Perera, A.T.D. & Attalage, R.A. & Perera, K.K.C.K. & Dassanayake, V.P.C., 2013. "A hybrid tool to combine multi-objective optimization and multi-criterion decision making in designing standalone hybrid energy systems," Applied Energy, Elsevier, vol. 107(C), pages 412-425.

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