Islanding detection using total variation‐based signal decomposition technique

Mishra, Prajna Parimita; Bhende, Chandrashekhar N.; Manikandan, M. Sabarimalai

doi:10.1049/iet-esi.2019.0079

Cited by 10 publications

(6 citation statements)

References 47 publications

(60 reference statements)

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“…Moreover, a new scheme based on total variation filtering for a modal voltage signal is proposed in Ref. 32. The proposed scheme is found to be working effectively but the threshold selection is based on simulation results.…”

Section: Passive Methodsmentioning

confidence: 99%

Zero non‐detection zone assessment for anti‐islanding protection in rotating machines based distributed generation system

Abd-Elkader

Saleh

2020

Int J Energy Res

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The challenges for a reliable operation of electrical power system have increased due to the presence of multi-distributed generation units (DGs) in the distribution systems in order to meet the increase of the load demand. Detection of unintentional islanding situation is very important as nondetection of islanding situation could result in a cascaded failure of the system. If the islanding situation remains undetected, the instability in the islanded part can lead to a complete failure of the electrical power system. This paper introduces a new passive scheme for islanding detection, which is suitable for multi-distributed generation units based on rotating machines. The proposed method is based on the measurements of the system voltage and frequency to compute two indices called the islanding index and harmonics index. The islanding index is the main index used to discriminate and identify the islanding situation. However, the harmonics index in conjunction with a strategy called speed reduction strategy assists the islanding index to discriminate between islanding situation in case of a close power match and system disturbances. The simulation studies were conducted in MATLAB/SIMULINK environment, and various cases have been considered, such as normal operation, islanding operation, sudden load change, DG tripping, separation of some DG units, faults, etc. The novelty of the proposed strategy is that it provides fast detection and has zero nondetection zone compared with the existing detection methods. Moreover, the proposed strategy has no effect on the power quality, and the maximum detection time is almost 350 ms at a close power match. The results indicate that the proposed scheme is successful in discrimination of the islanding conditions from other grid disturbances, revealing its great potential to be able to detect islanding events. Finally, the proposed method is applied only for rotating machine based DGs, such as wind turbines. Wind farms'

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Section: Passive Methodsmentioning

confidence: 99%

Zero non‐detection zone assessment for anti‐islanding protection in rotating machines based distributed generation system

Abd-Elkader

Saleh

2020

Int J Energy Res

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“…The technique proposed in this paper has the benefit of zero NDZ, but it offers a complex algorithm and complex mathematical calculations. In some research studies, only two indices have been considered for islanding detection study like the voltage/current of a negative sequence in which the wavelet algorithm is utilized by Taheri Kolli and Ghaffarzadeh (2020), voltage/phase angle of a positive sequence (Mishra et al, 2020), and transient index voltage/angle of a positive sequence superimposed on the current (Nale et al, 2019). These techniques have almost zero NDZ and offer huge accuracy, but the algorithm becomes complex because of the usage of the two indices.…”

Section: Introductionmentioning

confidence: 99%

Implementation of Islanding Recognizing Technique for Wind Distributed Generations Considering Insignificant NDZ

Raza¹,

Munir

Shafique³

et al. 2022

Front. Energy Res.

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The incorporation of distributed energy resources (DERs) into the electricity grid yields environmental, technical, and economic benefits. However, in addition to the benefits, the widespread use of DERs causes technical issues. Islanding is a big concern in terms of equipment protection and personnel safety, and it should be detected as soon as possible. The proposed approach employs a passive islanding detection technique based on reactive power (Q). The Q was chosen following a comparison of five other indices. Comparative analysis reveals that Q has the highest sensitivity and accuracy for islanding recognition when compared to all other observed parameters. Different case studies have been performed considering the worst-case scenario to check the working efficiency of the proposed scheme that simply distinguishes the islanding conditions from non-islanding conditions, which include load, motor, and capacitor switching, various types of fault switching, DG tripping cases, and weak grid contribution. The proposed strategy is straightforward, with quick execution and simple implementation in the MATLAB/SIMULINK environment on the IEEE 1547-2018 generic test system. With a small non-detection zone, islanding is detected in 0.038 s.

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“…However, the use of 2 passive indices makes the algorithm complex and increases the computational burden [6]. Furthermore, few methods consider 2 passive indices for islanding detection such as negative sequence volt-age/current utilized phaslet algorithm [31], voltage/positive sequence voltage phase angle [32] and transient index voltage/positive sequence angle superimposed current [33]. The precision of these methods was high and have almost zero NDZ.…”

Section: Introductionmentioning

confidence: 99%

“…Some recent contributions have been considered in the literature including VPA techniques. Passive methods have been developed in [31][32][33][34][35][36][37][38][39] to minimize the NDZ and tripping time. In [40], the active islanding detection method for inverter type DG is employed based on voltage phase angle.…”

Section: Introductionmentioning

confidence: 99%

Islanding Detection Strategy for Wind Farm Based on Performance Analysis of Passive Indices Having Negligible NDZ

Shafique¹,

Raza²,

Munir

et al. 2021

Applied Sciences

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Distributed generation (DG) resources integration into power system results in environmental and economic benefits. However, technical challenges may create many problems for the distribution system. Islanding detection is the topmost technical perspective regarding distribution system protection. This paper devised a passive islanding detection strategy that employed voltage phase angle (VPA). The VPA is selected after the performance assessment of 6 passive indices. Comparative study proves that VPA has the best accuracy and sensitivity compared to other indices parameters. The proposed technique is employed on a generic system that easily distinguished islanding situations from non-islanding cases such as load increment, load decrement, capacitor energization, capacitor de-energization, motor starting, motor unloading and various types of faults switching scenarios. The protective method is simple and has a quick interpretation algorithm as compared to other existing methods. The study is carried out on IEEE 1547 general test system in MATLAB/SIMULINK environment. The proposed strategy has nearly zero non-detection zone.

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Islanding detection using total variation‐based signal decomposition technique

Cited by 10 publications

References 47 publications

Zero non‐detection zone assessment for anti‐islanding protection in rotating machines based distributed generation system

Zero non‐detection zone assessment for anti‐islanding protection in rotating machines based distributed generation system

Implementation of Islanding Recognizing Technique for Wind Distributed Generations Considering Insignificant NDZ

Islanding Detection Strategy for Wind Farm Based on Performance Analysis of Passive Indices Having Negligible NDZ

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