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Securing critical loads in a PV-based microgrid with a multi-agent system

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  • Pipattanasomporn, Manisa
  • Feroze, Hassan
  • Rahman, Saifur

Abstract

The objective of this paper is to describe the development of a multi-agent system for the control of a PV-based microgrid. A case study is presented to demonstrate the agents’ abilities to island the PV-based microgrid in the event of an external fault, secure critical loads, and resynchronize the microgrid to the main grid after the fault is cleared. Simulation results indicate that the multi-agent system can isolate and stabilize the PV-based microgrid within half an electrical cycle. During this time interval all non-critical loads are shed according to their priorities while all critical electrical loads are secured. This analysis can serve as a guide for the practical implementation of an agent-based approach for resilient operation of a microgrid that has a solar photovoltaic (PV) system coupled with battery storage.

Suggested Citation

  • Pipattanasomporn, Manisa & Feroze, Hassan & Rahman, Saifur, 2012. "Securing critical loads in a PV-based microgrid with a multi-agent system," Renewable Energy, Elsevier, vol. 39(1), pages 166-174.
    • Handle: RePEc:eee:renene:v:39:y:2012:i:1:p:166-174
    DOI: 10.1016/j.renene.2011.07.049
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    References listed on IDEAS

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    1. Jun, Zeng & Junfeng, Liu & Jie, Wu & Ngan, H.W., 2011. "A multi-agent solution to energy management in hybrid renewable energy generation system," Renewable Energy, Elsevier, vol. 36(5), pages 1352-1363.
    2. Lagorse, Jeremy & Paire, Damien & Miraoui, Abdellatif, 2010. "A multi-agent system for energy management of distributed power sources," Renewable Energy, Elsevier, vol. 35(1), pages 174-182.
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    Cited by:

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    2. Coelho, Vitor N. & Weiss Cohen, Miri & Coelho, Igor M. & Liu, Nian & Guimarães, Frederico Gadelha, 2017. "Multi-agent systems applied for energy systems integration: State-of-the-art applications and trends in microgrids," Applied Energy, Elsevier, vol. 187(C), pages 820-832.
    3. Kavousi-Fard, Abdollah & Abunasri, Alireza & Zare, Alireza & Hoseinzadeh, Rasool, 2014. "Impact of plug-in hybrid electric vehicles charging demand on the optimal energy management of renewable micro-grids," Energy, Elsevier, vol. 78(C), pages 904-915.
    4. Kamankesh, Hamidreza & Agelidis, Vassilios G. & Kavousi-Fard, Abdollah, 2016. "Optimal scheduling of renewable micro-grids considering plug-in hybrid electric vehicle charging demand," Energy, Elsevier, vol. 100(C), pages 285-297.
    5. Fontenot, Hannah & Dong, Bing, 2019. "Modeling and control of building-integrated microgrids for optimal energy management – A review," Applied Energy, Elsevier, vol. 254(C).
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    8. Küçük, Dilek & Arslan, Yusuf, 2014. "Semi-automatic construction of a domain ontology for wind energy using Wikipedia articles," Renewable Energy, Elsevier, vol. 62(C), pages 484-489.

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