Islanding Issues, Consequences, and a Robust Detection Method for Hybrid Distributed Generation Based Power Systems

Authors

  • Nauman Ali Larik School of Electric Power Engineering, South China University of Technology, China
  • Meng Shi Li School of Electric Power Engineering, South China University of Technology, China
  • Touqeer Ahmed State Key Laboratory of Electrical Insulation and Power Equipment, Xi’an Jiaotong University, China
  • Jawed Ahmed Jamali School of Energy and Power Engineering, Dalian University of Technology, China
  • Qing Hua Wu School of Electric Power Engineering, South China University of Technology, China
Volume: 13 | Issue: 4 | Pages: 11484-11489 | August 2023 | https://doi.org/10.48084/etasr.6120

Abstract

Islanding refers to the situation where a Distributed Energy Resource (DER) remains as the sole power supply for a specific section of a power system, even after the main utility grid has been cut off. Suitable islanding detection is crucial to maintain the stability and dependability of a power distribution system that includes DERs. Islanding detection using easy-to-implement passive techniques exhibits a cost-effective response. The purpose of this study was to examine the causes and effects of islanding that a system can experience and propose a passive islanding detection method that uses ROCOPAD. The effectiveness of the proposed method was assessed using a MATLAB Simulink-based power system integrated with multiple Distributed Generations (DGs). The results showed that the proposed ROCOPAD-based islanding detection provided the best results. Evaluation metrics, including detection accuracy, false operation, and detection time, highlighted the effectiveness of the proposed approach.

Keywords:

renewable energy, unintentional islanding, non-detection zone, multiple distributed generation, phase angle difference

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How to Cite

[1]
N. A. Larik, M. S. Li, T. Ahmed, J. A. Jamali, and Q. H. Wu, “Islanding Issues, Consequences, and a Robust Detection Method for Hybrid Distributed Generation Based Power Systems”, Eng. Technol. Appl. Sci. Res., vol. 13, no. 4, pp. 11484–11489, Aug. 2023.

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