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Multi-Agent System Fault Protection with Topology Identification in Microgrids

Author

Listed:
  • Stephanus Antonius Ananda

    (Department of Electrical Engineering, National Taiwan University of Science and Technology, No. 43, Sec. 4, Keelung Rd., Da’an District, Taipei 10607, Taiwan)

  • Jyh-Cherng Gu

    (Department of Electrical Engineering, National Taiwan University of Science and Technology, No. 43, Sec. 4, Keelung Rd., Da’an District, Taipei 10607, Taiwan)

  • Ming-Ta Yang

    (Department of Electrical Engineering, St. John’s University, No. 499, Sec. 4, Tam King Rd., Tamsui District, New Taipei City 25135, Taiwan)

  • Jing-Min Wang

    (Department of Electrical Engineering, St. John’s University, No. 499, Sec. 4, Tam King Rd., Tamsui District, New Taipei City 25135, Taiwan)

  • Jun-Da Chen

    (Department of Electrical Engineering, National Taiwan University of Science and Technology, No. 43, Sec. 4, Keelung Rd., Da’an District, Taipei 10607, Taiwan)

  • Yung-Ruei Chang

    (Institute of Nuclear Energy Research, No. 1000, Wenhua Rd. Jiaan Village, Longtan District, Taoyuan 32546, Taiwan)

  • Yih-Der Lee

    (Institute of Nuclear Energy Research, No. 1000, Wenhua Rd. Jiaan Village, Longtan District, Taoyuan 32546, Taiwan)

  • Chen-Min Chan

    (Institute of Nuclear Energy Research, No. 1000, Wenhua Rd. Jiaan Village, Longtan District, Taoyuan 32546, Taiwan)

  • Chia-Hao Hsu

    (Institute of Nuclear Energy Research, No. 1000, Wenhua Rd. Jiaan Village, Longtan District, Taoyuan 32546, Taiwan)

Abstract

Data acquisition and supervisory control are usually performed using client-server architecture and centralized control in conventional power systems. However, the message transmission and fault clearing are too slow for large-scale complex power systems. Microgrid systems have various types of distributed energy resources (DERs) which are quite different in characteristics and capacities, thus, the client-server architecture and centralized control are inadequate to control and operate in microgrids. Based on MATLAB/Simulink (ver.R2012a) simulation software and Java Agent Development Framework (JADE) (JADE 4.1.1-revision 6532), this paper proposes a novel fault protection technology that used multi-agent system (MAS) to perform fault detection, fault isolation and service restoration in microgrids. A new topology identification method using the YBus Matrix Algorithm is presented to successfully recognize the network configurations. The identification technology can respond to microgrid variations. Furthermore, the interactive communications among intelligent electronic devices (IEDs), circuit breakers (CBs), and agents are clarified during fault occurrence. The simulation results show that the proposed MAS-based microgrids can promptly isolate faults and protect the system against faults in real time.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:10:y:2016:i:1:p:28-:d:86258
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    References listed on IDEAS

    as
    1. Yujin Lim & Hak-Man Kim & Tetsuo Kinoshita, 2014. "Distributed Load-Shedding System for Agent-Based Autonomous Microgrid Operations," Energies, MDPI, vol. 7(1), pages 1-17, January.
    2. Hyun-Koo Kang & Il-Yop Chung & Seung-Il Moon, 2015. "Voltage Control Method Using Distributed Generators Based on a Multi-Agent System," Energies, MDPI, vol. 8(12), pages 1-17, December.
    3. 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.
    4. Chendan Li & Mehdi Savaghebi & Josep M. Guerrero & Ernane A. A. Coelho & Juan C. Vasquez, 2016. "Operation Cost Minimization of Droop-Controlled AC Microgrids Using Multiagent-Based Distributed Control," Energies, MDPI, vol. 9(9), pages 1-19, September.
    5. Hee-Jun Cha & Dong-Jun Won & Sang-Hyuk Kim & Il-Yop Chung & Byung-Moon Han, 2015. "Multi-Agent System-Based Microgrid Operation Strategy for Demand Response," Energies, MDPI, vol. 8(12), pages 1-15, December.
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    Cited by:

    1. Jing Wang & Longhua Mu & Fan Zhang & Xin Zhang, 2017. "A Parallel Restoration for Black Start of Microgrids Considering Characteristics of Distributed Generations," Energies, MDPI, vol. 11(1), pages 1-18, December.
    2. Henan Dong & Shun Yuan & Zijiao Han & Zhiyuan Cai & Guangdong Jia & Yangyang Ge, 2018. "A Comprehensive Strategy for Accurate Reactive Power Distribution, Stability Improvement, and Harmonic Suppression of Multi-Inverter-Based Micro-Grid," Energies, MDPI, vol. 11(4), pages 1-16, March.

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