Communication Assisted Fuzzy based Adaptive Protective Relaying Scheme for Microgrid

Bokka Krishna Chaitanya, Atul Kumar Soni, Anamika Yadav


This study proposes a communication assisted fuzzy based adaptive protective relaying scheme for fault detection, fault
classification and faulty phase identification of microgrid along with a solution to isolate the microgrid from the utility grid by
disconnecting the static-switch. Any fault in the utility grid causes the microgrid to be isolated from the utility grid whereas
if there is a fault in the microgrid it continues to operate with the utility grid. An adaptive fuzzy inference system has been
developed using a separate fuzzy rule base for the two modes of operation of microgrid, i.e. islanded mode or grid connected
mode. The Central Grid Status Communication System (CGSCU) is considered which monitors the status of PCC and sends
a command signal to the relays so that the relay settings are updated with new rules for any transition in the mode of the
microgrid. 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 simulated
using MATLAB/SIMULINK. The proposed method is tested for all types of faults by varying fault parameters and also for
dynamic situations such as connection/disconnection of DGs and loads. The test results substantiate the effectiveness of the


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

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