JOURNAL ARTICLE

Passive Islanding Detection Technique for Integrated Distributed Generation at Zero Power Balanced Islanding

Ch. Rami ReddyK. Harinadha Reddy

Year: 2019 Journal:   International Journal of Integrated Engineering Vol: 11 (6)   Publisher: Penerbit UTHM

Abstract

Renewable power generation systems have more advantages in the integrated power system compared to the generation due to fossil fuels because of their advantages like reliability and power quality. One of the important problems due to such renewable distributed generation (DG) system is an unintentional islanding. Islanding is caused if DG supplies power to load after disconnecting from the grid. As per the DG interconnection standards, it is required to detect the islanding within two seconds after islanding with the equipments connected to it. In this paper a new passive islanding detection method is presented for wind DG integrated power system with rate of change of positive sequence voltage (ROCOPSV) and rate of change of positive sequence current (ROCOPSC). The islanding is detected if both the values of ROCOPSV and ROCONSV are more than a predefined threshold value. The test system results carried on MATLAB shows the performance of the proposed method for various islanding and non islanding events with different power imbalances. The results conclude that, this method can detect islanding even at balanced islanding with zero non detection zone (NDZ).

Keywords:
Islanding Distributed generation Reliability (semiconductor) Power (physics) Electric power system Electronic engineering Engineering Computer science Renewable energy Electrical engineering Physics

Metrics

18
Cited By
1.71
FWCI (Field Weighted Citation Impact)
24
Refs
0.86
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Islanding Detection in Power Systems
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Power Systems Fault Detection
Physical Sciences →  Engineering →  Control and Systems Engineering
Microgrid Control and Optimization
Physical Sciences →  Engineering →  Control and Systems Engineering

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