2014
DOI: 10.1109/tpwrd.2014.2315839
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A Multifeature-Based Approach for Islanding Detection of DG in the Subcritical Region of Vector Surge Relays

Abstract: Anti-islanding protection is an important requirement which has to be considered prior to the integration of distributed generation into electricity grids. Conventional vector surge (VS) relays are usually used to detect islanding; however, there is a nondetection zone (NDZ) wherein islanding incidents are undetectable by VS relays. This paper proposes a multifeature-based technique for islanding detection in the subcritical region, defined as a subregion of the NDZ. In the proposed method, features are extrac… Show more

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Cited by 53 publications
(34 citation statements)
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“…The TDLVC detection algorithm is overridden during the injection. The amplitude of injection current can be modified by justifying UAIE and ∆t as shown in the equation (13). The current pulse is injected into the system through a coupling inductor or an existing transformer.…”
Section: Injection Control and Wide-band High-frequency Reactance mentioning
confidence: 99%
See 1 more Smart Citation
“…The TDLVC detection algorithm is overridden during the injection. The amplitude of injection current can be modified by justifying UAIE and ∆t as shown in the equation (13). The current pulse is injected into the system through a coupling inductor or an existing transformer.…”
Section: Injection Control and Wide-band High-frequency Reactance mentioning
confidence: 99%
“…The estimation of signal parameters via rotational invariance techniques (ESPRIT) [11], fast GaussNewton algorithm (FGNWA) [12], Tufts-Kumaresan (TK) [15], autoregressive (AR) [16] and wavelet [17] are used to pick out the useful signal from noises and distortions. And then, the pattern recognition algorithms such as Decision Trees (DTs) [10], Naive-Bayes classifiers (NBC) [14], support vector machine (SVM) [13] and classification and regression trees (CART) [18] are used for islanding detection. Applying smart data processing to multiple measured variables, the nondetection zone (NDZ) can be reduced.…”
Section: Introductionmentioning
confidence: 99%
“…For determination of the DSLPA of DG, the power swing Equation 1 is used. [36][37][38] The power angle can be solved based on initial conditions of δ 0 ð Þ ¼ 0; dδ dt = j t¼0 ¼ 0 as:…”
Section: Dynamic Modelmentioning
confidence: 99%
“…The simulation results indicated that the technique possessed accuracy of 98% and above [35]. Similarly, application of support vector machine for enhancement in the performance of passive islanding detection technqiue has been proposed in [36][37][38]. Apart from these, probabilistic neural network [39] and artificial neural network [40] are also utilized in the passive islanding detection techniques to enhance their performance.…”
Section: Passive Islanding Detection Techniquesmentioning
confidence: 99%