A Data-Driven Passive Islanding Detection Scheme

M. Venkateswara Reddy, Sourav De, Ranjana Sodhi

Research output: Contribution to conferencePaper

1 Scopus Citations


This paper proposes a novel statistical parameters based data driven approach for passive islanding detection. The proposed scheme relies in the voltage data, measured at the point of common coupling, and is comprised of three stages. The Stage-1 quickly detects what is termed as coarse islanding, Stage-2 computes the decaying DC detector (DDCD), and 3) finally, the digital relay logic (DRL) is devised in Stage-3. The proposed scheme is tested as per the IEEE-1547, UL 1741 and IEC-62116 standards. Various tests are investigated on the modified IEEE-13 bus system, modeled in PSCAD/EMTDC, under stringent test scenarios such as power mismatch, induction motor starting effect, capacitor bank switching and various level of loads changes, considered for both single and multiple DG systems. The test results reveal that the proposed scheme can detect islanding in less than 2 cycles, and results in nearly zero non detection zone (NDZ). Also, the scheme can very well be used for single-phase microgrids too as it relies only on the single phase voltage information.
Original languageAmerican English
Number of pages6
StatePublished - 2023
Event2022 IEEE 10th Power India International Conference (PIICON) - New Delhi, India
Duration: 25 Nov 202227 Nov 2022


Conference2022 IEEE 10th Power India International Conference (PIICON)
CityNew Delhi, India

NREL Publication Number

  • NREL/CP-5D00-85738


  • anti-islanding protection
  • kurtosis
  • mean
  • passive islanding


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