A Novel Islanding Detection Method in a Distributed Generation Using Change in Phase Angle Difference Between Positive Sequence Current and Voltage

Bashir, Javeed; Jena, Premalata

doi:10.1007/s41403-022-00385-5

Cited by 2 publications

(1 citation statement)

References 35 publications

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“…[19], another PIDM was proposed hybrid GCDGN based on the variational mode decomposition. Bashir J. proposed the PIDM in [20] following fluctuations in the phase angle difference between the positive sequence voltage and current captured at the DG terminal. Finally, it is noted in the prior research study that PIDM has a slow response and too much NDZ.…”

Section: Extensive Literature Reviewmentioning

confidence: 99%

Triple‐indexed passive islanding detection strategy for grid‐connected distributed generation networks using an extended Kalman filter

Larik,

Li,

2024

IET Generation Trans & Dist

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Islanding detection is a challenging issue in modern grid‐connected distributed generation networks (GCDGN). Generally, islanding detection has two categories local and remote, local schemes can be categorized into active, passive, and hybrid schemes. This article proposes a triple‐indexed passive islanding detection (TIPID) scheme using an extended Kalman filter (EKF). Initially, the EKF algorithm is applied on voltage signal at the point of the common coupling to estimate the desired fundamental and non‐fundamental features. The first index, known as the cumulative voltage logarithmic index, is computed by taking the natural logarithm of the fundamental voltage features to detect any variations in the GCDGN. The second index, known as the voltage differentiation index (VDI), is calculated from the fundamental voltage features, while the third index, known as the odd‐order harmonic distortion index (OOHDI), is obtained from the non‐fundamental odd‐order harmonics of the PCC voltage. Then, the VDI and OOHDI are compared to pre‐defined threshold to detect/distinguish islanding events. The proposed TIPID method is validated through extensive simulations on the IEEE 13‐bus test bed via MATLAB/Simulink 2022b. Results show that under both balanced/unbalanced load & generation, the proposed TIPID approach detects islanding occurrences with reduced non‐detection zone (NDZ) in less than 5 ms.

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Section: Extensive Literature Reviewmentioning

confidence: 99%

Triple‐indexed passive islanding detection strategy for grid‐connected distributed generation networks using an extended Kalman filter

Larik,

Li,

2024

IET Generation Trans & Dist

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Determining Unintentional Island Threshold to Enhance the Reliability in an Electrical Distribution Grid

et al. 2023

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Due to the significant number of distributed generators in the electric power system, islanding detection requirements are becoming an increasingly prominent aspect of the power system. The island detection system depends on accurate threshold determination since an incorrect threshold might result in a hazardous situation. To evaluate the proposed method’s capacity to discriminate between different events, this study examined different unintentional islanding conditions such as under frequency and over frequency. The purpose of this study is to establish the threshold of the under and over frequency island conditions. The under frequency island condition happens when the distributed generator (DG) capacity exceeds the amount of connected load; on the other hand, the over frequency island condition happens during a higher connected load compared to the capacity of the DG. The contribution of this research is to propose an unintentional island threshold setting technique based on bus voltage angle difference data of the phasor measurement unit (PMU). In the PowerWorld simulator, the Utility Kerteh (location: Terengganu, Malaysia) bus system has been designed and simulated in this work. The test system has four distinct islanding scenarios under two conditions, and the performance of the proposed methods demonstrates that for the under frequency islanding conditions the scenario’s threshold can be taken at a minimum of 40 milliseconds (ms) and a maximum of 60 ms, while the over frequency condition island threshold can be placed at a minimum of 60 ms and a maximum of 80 ms depending on the scenarios. Therefore, the proposed technique will be contributed to increase the reliability of the overall distribution grid so the unintentional island can be detected faster in terms of time.

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A Novel Islanding Detection Method in a Distributed Generation Using Change in Phase Angle Difference Between Positive Sequence Current and Voltage

Cited by 2 publications

References 35 publications

Triple‐indexed passive islanding detection strategy for grid‐connected distributed generation networks using an extended Kalman filter

Triple‐indexed passive islanding detection strategy for grid‐connected distributed generation networks using an extended Kalman filter

Determining Unintentional Island Threshold to Enhance the Reliability in an Electrical Distribution Grid

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