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Hybrid Multi-Agent Control in Microgrids: Framework, Models and Implementations Based on IEC 61850

Author

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  • Xiaobo Dou

    (Department of Electrical Engineering, Southeast University, No. 2 Sipailou, Nanjing 210096, Jiangsu, China)

  • Xiangjun Quan

    (Department of Electrical Engineering, Southeast University, No. 2 Sipailou, Nanjing 210096, Jiangsu, China
    These authors contributed equally to this work.)

  • Zaijun Wu

    (Department of Electrical Engineering, Southeast University, No. 2 Sipailou, Nanjing 210096, Jiangsu, China
    These authors contributed equally to this work.)

  • Minqiang Hu

    (Department of Electrical Engineering, Southeast University, No. 2 Sipailou, Nanjing 210096, Jiangsu, China
    These authors contributed equally to this work.)

  • Kang Yang

    (Department of Electrical Engineering, Southeast University, No. 2 Sipailou, Nanjing 210096, Jiangsu, China)

  • Jian Yuan

    (Department of Electrical Engineering, Southeast University, No. 2 Sipailou, Nanjing 210096, Jiangsu, China)

  • Mengmeng Wang

    (Department of Electrical Engineering, Southeast University, No. 2 Sipailou, Nanjing 210096, Jiangsu, China)

Abstract

Operation control is a vital and complex issue for microgrids. The objective of this paper is to explore the practical means of applying decentralized control by using a multi agent system in actual microgrids and devices. This paper presents a hierarchical control framework (HCF) consisting of local reaction control (LRC) level, local decision control (LDC) level, horizontal cooperation control (HCC) level and vertical cooperation control (VCC) level to meet different control requirements of a microgrid. Then, a hybrid multi-agent control model (HAM) is proposed to implement HCF, and the properties, functionalities and operating rules of HAM are described. Furthermore, the paper elaborates on the implementation of HAM based on the IEC 61850 Standard, and proposes some new implementation methods, such as extended information models of IEC 61850 with agent communication language and bidirectional interaction mechanism of generic object oriented substation event (GOOSE) communication. A hardware design and software system are proposed and the results of simulation and laboratory tests verify the effectiveness of the proposed strategies, models and implementations.

Suggested Citation

  • Xiaobo Dou & Xiangjun Quan & Zaijun Wu & Minqiang Hu & Kang Yang & Jian Yuan & Mengmeng Wang, 2014. "Hybrid Multi-Agent Control in Microgrids: Framework, Models and Implementations Based on IEC 61850," Energies, MDPI, vol. 8(1), pages 1-28, December.
    • Handle: RePEc:gam:jeners:v:8:y:2014:i:1:p:31-58:d:43926
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    References listed on IDEAS

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    1. Ming-Tse Kuo & Shiue-Der Lu, 2013. "Design and Implementation of Real-Time Intelligent Control and Structure Based on Multi-Agent Systems in Microgrids," Energies, MDPI, vol. 6(11), pages 1-15, November.
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    Cited by:

    1. Stephanus Antonius Ananda & Jyh-Cherng Gu & Ming-Ta Yang & Jing-Min Wang & Jun-Da Chen & Yung-Ruei Chang & Yih-Der Lee & Chen-Min Chan & Chia-Hao Hsu, 2016. "Multi-Agent System Fault Protection with Topology Identification in Microgrids," Energies, MDPI, vol. 10(1), pages 1-21, December.
    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.

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