Communication Assisted Fuzzy based Adaptive Protective Relaying Scheme for Microgrid

  • Bokka Krishna Chaitanya Department of Electrical Engineering, National Institute of Technology, Raipur, CG, India
  • Atul Kumar Soni Department of Electrical Engineering, National Institute of Technology, Raipur, CG, India
  • Anamika Yadav Department of Electrical Engineering, National Institute of Technology, Raipur, CG, India

Abstract

This study proposes a communication assisted fuzzy based adaptive protective relaying scheme for fault detection, faultclassification and faulty phase identification of microgrid along with a solution to isolate the microgrid from the utility grid bydisconnecting the static-switch. Any fault in the utility grid causes the microgrid to be isolated from the utility grid whereasif there is a fault in the microgrid it continues to operate with the utility grid. An adaptive fuzzy inference system has beendeveloped using a separate fuzzy rule base for the two modes of operation of microgrid, i.e. islanded mode or grid connectedmode. The Central Grid Status Communication System (CGSCU) is considered which monitors the status of PCC and sendsa command signal to the relays so that the relay settings are updated with new rules for any transition in the mode of themicrogrid. The fundamental phasor amplitude and zero sequence component of current signals are used as input features,fault detection, fault classification and faulty phase identification. A standard microgrid model IEC 61850-7-420 was simulatedusing MATLAB/SIMULINK. The proposed method is tested for all types of faults by varying fault parameters and also fordynamic situations such as connection/disconnection of DGs and loads. The test results substantiate the effectiveness of themethod.

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— 69
Published
2018-04-03
How to Cite
CHAITANYA, Bokka Krishna; SONI, Atul Kumar; YADAV, Anamika. Communication Assisted Fuzzy based Adaptive Protective Relaying Scheme for Microgrid. Journal of Power Technologies, [S.l.], v. 98, n. 1, p. 57–69, apr. 2018. ISSN 2083-4195. Available at: <https://papers.itc.pw.edu.pl/index.php/JPT/article/view/1075>. Date accessed: 29 dec. 2024.
Section
Electrical Engineering

Keywords

Microgrid, Fault Detection, Fault Classification, Fuzzy Inference System (FIS), Grid Connected Mode, Islanded Mode.

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