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State of art of multiagent systems in power engineering: A review

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  • Moradi, Mohammad H.
  • Razini, Saleh
  • Mahdi Hosseinian, S.

Abstract

Applications of multiagent systems (MAS) in power engineering are of particular importance. However, little effort exists to provide an insight in MAS applications from the lens of power engineering practitioners. This paper is first in examining state of the art of MAS in power engineering. A comprehensive literature review is conducted and a novel taxonomy associated with research concerning MAS applications in power engineering is proposed. The paper shows that MAS is adaptable and applicable with different power engineering categories. The paper also concludes that the applications of MAS in different aspects of modern power systems, like planning, market, management, operation, control, monitoring and protection are anticipated to be of significance in the development smart grids.

Suggested Citation

  • Moradi, Mohammad H. & Razini, Saleh & Mahdi Hosseinian, S., 2016. "State of art of multiagent systems in power engineering: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 814-824.
    • Handle: RePEc:eee:rensus:v:58:y:2016:i:c:p:814-824
    DOI: 10.1016/j.rser.2015.12.339
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    References listed on IDEAS

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    Cited by:

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    2. Nguyen, Phuong H. & Blaauwbroek, Niels & Nguyen, Cuong & Zhang, Xu & Flueck, Alexander & Wang, Xiaoyu, 2017. "Interfacing applications for uncertainty reduction in smart energy systems utilizing distributed intelligence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1312-1320.
    3. Zhu, Ziqing & Wing Chan, Ka & Bu, Siqi & Zhou, Bin & Xia, Shiwei, 2021. "Real-Time interaction of active distribution network and virtual microgrids: Market paradigm and data-driven stakeholder behavior analysis," Applied Energy, Elsevier, vol. 297(C).
    4. Shobole, Abdulfetah Abdela & Wadi, Mohammed, 2021. "Multiagent systems application for the smart grid protection," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    5. Zhang, Guidong & Li, Zhong & Zhang, Bo & Halang, Wolfgang A., 2018. "Power electronics converters: Past, present and future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2028-2044.
    6. Ju, Liwei & Zhang, Qi & Tan, Zhongfu & Wang, Wei & Xin, He & Zhang, Zehao, 2018. "Multi-agent-system-based coupling control optimization model for micro-grid group intelligent scheduling considering autonomy-cooperative operation strategy," Energy, Elsevier, vol. 157(C), pages 1035-1052.
    7. Abdi, Hamdi & Beigvand, Soheil Derafshi & Scala, Massimo La, 2017. "A review of optimal power flow studies applied to smart grids and microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 742-766.
    8. Roberto S. Netto & Guilherme R. Ramalho & Benedito D. Bonatto & Otavio A. S. Carpinteiro & A. C. Zambroni de Souza & Denisson Q. Oliveira & Rodrigo A. S. Braga, 2018. "Real-Time Framework for Energy Management System of a Smart Microgrid Using Multiagent Systems," Energies, MDPI, vol. 11(3), pages 1-17, March.
    9. Sellak, Hamza & Ouhbi, Brahim & Frikh, Bouchra & Palomares, Iván, 2017. "Towards next-generation energy planning decision-making: An expert-based framework for intelligent decision support," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1544-1577.
    10. Schmidt, Mischa & Åhlund, Christer, 2018. "Smart buildings as Cyber-Physical Systems: Data-driven predictive control strategies for energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 742-756.

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