Islanding detection and control in grid based system using wavelet transform

Sharma, Rashmi; Singh, Pratibha

doi:10.1109/poweri.2012.6479557

Cited by 15 publications

(12 citation statements)

References 7 publications

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“…In [39], Daubechies db4-based DWT is applied for negativesequence components of voltage and current at the target DG terminals and the classification of islanding event is determined by DFT-GA single-phase two-stage PV < two cycles ---WT [35] CWT grid-tied DG 0.6 s --- [36] DWT DG at petroleum company 0.05-1 s --- [37,38] DWT PV (low power) 0.5-30 cycles -5% mismatch (P) --5% mismatch (Q) [39] DWT wind farm (doubly-fed induction generator ) one cycle -50% mismatch (P) - [40] DWT PV 2.5 cycles -0-20% mismatch (P) - [41] DWT wind DG <0.2 s -0-25% mismatch (P) - [42] DWT PV 0.05 s -0-±20% mismatch (P) - [43] DWT PV > one cycle --- [44] DWT synchronous DG 5.5 ms -0% mismatch (P) - [45] WPT wind farm 0.06 s --- [46] WT the variation in energy coefficients and standard deviation (SD). In this method, the detection time for islanding event classification is reported as one cycle.…”

Section: Wavelet Transform (Wt)-based Methodsmentioning

confidence: 99%

“…Another feature of db4 is that it makes use of second‐level wavelet coefficients (d2) to identify the spectral changes in higher‐frequency components, whereas db4 DWT and db5 DWT are used for islanding detection of wind turbine‐based DG [41] and grid‐connected PV DG [42], respectively. Dyadic DWT, a DWT technique based on Mallat's pyramid algorithm [68], has been used to detect islanding event because of its simplicity and non‐redundancy [43]. DWT with Haar wavelet as a mother wavelet is used for loss of grid detection in multi‐DG environment.…”

Section: Sp Techniquesmentioning

confidence: 99%

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Comprehensive review of IDMs in DG systems

Manikonda

Gaonkar

2019

IET Smart Grid

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Distributed generation (DG) offers solution to the ever increasing energy needs by generating energy at the consumer end, in most cases, by means of renewable energy sources. Islanding detection is an important aspect of interconnecting a DG to the utility. This study presents comprehensive review of various islanding detection techniques along with their relative advantages and disadvantages. A broad classification of islanding detection methods (IDMs) is laid out as classical methods, signal processing (SP)-based methods, and computational intelligence-based methods with a focus on SP-based methods and computational intelligence-based methods. The evolution of SP techniques used for islanding detection is presented along with the merits and shortcomings of each technique. Furthermore, the advent of computational intelligence methods based IDMs are discussed along with their merits and demerits. An insight into various islanding methods based on quantitative measures of performance indices such as detection time, detection accuracy, and efficiency are tabulated and presented. Finally, the prospective direction of research for IDMs is also presented.

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Section: Wavelet Transform (Wt)-based Methodsmentioning

confidence: 99%

Section: Sp Techniquesmentioning

confidence: 99%

Comprehensive review of IDMs in DG systems

Manikonda

Gaonkar

2019

IET Smart Grid

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“…In contrast, the current-based IDM investigated in this study successfully detects an islanding event in a time duration of fewer than 0.05 cycles [31]. Compared to the wavelet transform (WT) based IDM [32], the method implemented in this paper is also fast and precise. Performance of the proposed IDM and DWT-based IDM [26] is evaluated in a noisy environment, and percentage accuracy with different noise levels is illustrated in Fig.…”

Section: Performance Comparison Of Algorithmmentioning

confidence: 99%

“…20. It is observed that accuracy for islanding identification using DWT-based IDM [32] decreased for noise levels higher than 40 dB SNR. However, the proposed IDM effectively recognizes the islanding events with higher noise levels of 10 dB SNR.…”

Section: Performance Comparison Of Algorithmmentioning

confidence: 99%

Estimation of Islanding Events in Utility Distribution Grid With Renewable Energy Using Current Variations and Stockwell Transform

Mahela¹,

Sharma²,

Ali³

et al. 2021

IEEE Access

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This research work has designed an algorithm to identify islanding events using the current signals in a distribution grid interfaced with renewable energy (RE) sources and remote areas. A medianbased islanding recognition factor (MIRF) is designed by processing the current signal using Stockwell transform (ST). A current rate of change of islanding recognition factor (CRCIRF) is computed by differentiating the root mean square (RMS) current concerning time. The MIRF and CRCIRF are multiplied element by element to calculate the current-based islanding recognition factor (IRFC) used to recognize islanding events and non-islanding events. Simple decision rules are used to discriminate Islanding events from the faulty and the operational events by comparing peak magnitude of IRFC with pre-set threshold values. This IDM effectively recognizes islanding events in the presence of noise with 10 dB signal-to-noise (SNR) level. The performance of IDM is established on a practical distribution feeder. Developed work is executed in MATLAB/Simulink.

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“…The DWT analyses a signal by decomposing the signal into a course approximation and detail information. The course approximation is decomposed again to obtain the details of the next level and so on [17]. Figure 2 shows the three level decomposition of the input signals which results the wavelet coefficient of the input signal at each level.…”

Section: Islanding Detection In Microgridmentioning

confidence: 99%

SVM based pattern recognised islanding detection approach in a multiple distributed generation system

Rao

Rao²

2018

IJET

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The penetration of Distributed generation (DG) ensures the increase of demand for consistent, reasonable and spotless electricity facing with some design and operational challenges such as islanding. Several active and passive methods have been suggested in the past to detect islanding. Since they suffer from the large non detection zone and a high cost. In order to defeat such issues we propose a SVM based pattern recognising approach for islanding detection in a multiple DG system. The results show that our proposed method detects islanding with high accuracy.

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Islanding detection and control in grid based system using wavelet transform

Cited by 15 publications

References 7 publications

Comprehensive review of IDMs in DG systems

Comprehensive review of IDMs in DG systems

Estimation of Islanding Events in Utility Distribution Grid With Renewable Energy Using Current Variations and Stockwell Transform

SVM based pattern recognised islanding detection approach in a multiple distributed generation system

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