LAPSE:2019.0433
Published Article
LAPSE:2019.0433
Multi-Agent System Fault Protection with Topology Identification in Microgrids
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
March 26, 2019
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.
Keywords
distributed energy resources, impedance matrix, microgrid, multi-agent system, topology identification bus
Suggested Citation
Ananda SA, Gu JC, Yang MT, Wang JM, Chen JD, Chang YR, Lee YD, Chan CM, Hsu CH. Multi-Agent System Fault Protection with Topology Identification in Microgrids. (2019). LAPSE:2019.0433
Author Affiliations
Ananda SA: Department of Electrical Engineering, National Taiwan University of Science and Technology, No. 43, Sec. 4, Keelung Rd., Da’an District, Taipei 10607, Taiwan
Gu JC: Department of Electrical Engineering, National Taiwan University of Science and Technology, No. 43, Sec. 4, Keelung Rd., Da’an District, Taipei 10607, Taiwan
Yang MT: Department of Electrical Engineering, St. John’s University, No. 499, Sec. 4, Tam King Rd., Tamsui District, New Taipei City 25135, Taiwan
Wang JM: Department of Electrical Engineering, St. John’s University, No. 499, Sec. 4, Tam King Rd., Tamsui District, New Taipei City 25135, Taiwan [ORCID]
Chen JD: Department of Electrical Engineering, National Taiwan University of Science and Technology, No. 43, Sec. 4, Keelung Rd., Da’an District, Taipei 10607, Taiwan
Chang YR: Institute of Nuclear Energy Research, No. 1000, Wenhua Rd. Jiaan Village, Longtan District, Taoyuan 32546, Taiwan
Lee YD: Institute of Nuclear Energy Research, No. 1000, Wenhua Rd. Jiaan Village, Longtan District, Taoyuan 32546, Taiwan
Chan CM: Institute of Nuclear Energy Research, No. 1000, Wenhua Rd. Jiaan Village, Longtan District, Taoyuan 32546, Taiwan
Hsu CH: Institute of Nuclear Energy Research, No. 1000, Wenhua Rd. Jiaan Village, Longtan District, Taoyuan 32546, Taiwan
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Journal Name
Energies
Volume
10
Issue
1
Article Number
E28
Year
2016
Publication Date
2016-12-27
Published Version
ISSN
1996-1073
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PII: en10010028, Publication Type: Journal Article
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LAPSE:2019.0433
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doi:10.3390/en10010028
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Mar 26, 2019
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Mar 26, 2019
 
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Calvin Tsay
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