Analysis and Verification of Islanding Detection Techniques for Grid-integrated PV Systems

Abstract
The increase in solar energy installation capacity and the versatility of modern power inverters have enabled widespread penetration of distributed generation in modern power systems. Islanding detection techniques allow for fast detection and corrective action in the face of abnormal events. Current standards specify the operational limits for voltage, frequency, and detection time. Grid codes specify the procedures for disconnection to establish safe network maintenance conditions. Passive and active techniques require voltage, current, and frequency measurements and the definition of thresholds for detection. Operational parameters such as load mismatch and quality factors influence the detection capabilities. Falsepositive triggering due to grid transients can lead to unnecessary disconnection of distributed generation resources. In this paper, we analyze the performance of several islanding detection techniques presented in the literature and propose a modified 9-bus benchmark system to verify the robustness of passive and active methods against false-positive detections upon severe gridside transients. Simulation results attest to the superiority of active methods and raise awareness of the susceptibility of all investigated techniques to false islanding detection.

Citation
Alsabban, M., Bertozzi, O., & Ahmed, S. (2023). Analysis and Verification of Islanding Detection Techniques for Grid-integrated PV Systems. 2023 IEEE PES Conference on Innovative Smart Grid Technologies - Middle East (ISGT Middle East). https://doi.org/10.1109/isgtmiddleeast56437.2023.10078615

Publisher
IEEE

Conference/Event Name
2023 IEEE PES Conference on Innovative Smart Grid Technologies - Middle East (ISGT Middle East)

DOI
10.1109/isgtmiddleeast56437.2023.10078615

Additional Links
https://ieeexplore.ieee.org/document/10078615/

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