Active islanding detection method using
            <i>d</i>
            ‐axis disturbance signal injection with intelligent control

Lin, Faa Jeng; Huang, Yi; Tan, Kean Ming; Chiu, Jian Hsing; Chang, Yung‐Ruei

doi:10.1049/iet-gtd.2012.0488

Cited by 31 publications

(25 citation statements)

References 29 publications

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“…setting θ d =θ f . At this point it is simpler than some similar methods [13]- [15]. Next, the scenarios for which this method is applied to the energy storage converter will be analyzed.…”

Section: A the Principles And Applications Of The Improved Methodsmentioning

confidence: 99%

“…Two famous ones are Sandia Frequency Shift (SFS) and Slip-Mode Frequency Shift (SMS), which belong to frequency shift methods and have been the classic active islanding detection methods up to the present day [1]- [6]. In addition, [7] and [8] proposed two methods based on the relationships between reactive power and frequency; [9] and [10] added a reactive power perturbation on the basis of SMS and SFS; [11] proposed a method based on a relationship between active power and voltage; [12] proposed the concept of perturbing reactive current, and [13]- [15] realized and tested it. Although new methods are constantly emerging, SFS and SMS are still being widely used.…”

mentioning

confidence: 99%

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Problems in the Classic Frequency Shift Islanding Detection Methods Applied to Energy Storage Converters and a Coping Strategy

Liu

Zhao

Huang

et al. 2018

IEEE Trans. Energy Convers.

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(2018) 'Problems in the classic frequency shift islanding detection methods applied to energy storage converters and a coping strategy.', IEEE transactions on energy conversion., 33 (2). pp. 496-505. Further information on publisher's website: Additional information: Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders.Please consult the full DRO policy for further details.

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Section: A the Principles And Applications Of The Improved Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

Problems in the Classic Frequency Shift Islanding Detection Methods Applied to Energy Storage Converters and a Coping Strategy

Liu

Zhao

Huang

et al. 2018

IEEE Trans. Energy Convers.

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“…by ANFIS is shown in [115]. Similarly, wavelet based ANFIS is also used in active ID technique through d axis signal injection for a UL 1741 test configuration [116]. A hybrid islanding technique using ANFIS is implemented in [117] based on probability of islanding (PoI) values on Smart grid side.…”

Section: Anfismentioning

confidence: 99%

Shifting of research trends in islanding detection method - a comprehensive survey

Dutta

Sadhu

Reddy

et al. 2018

Prot Control Mod Power Syst

119

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The augmentation in electricity demand, power system privatization as well as efficacy of renewable resources has paved the way for power system companies and researchers to exploit the field of grid connected distributed generation (DG) and its issues, islanding being a dominant one. Several research works have been conducted to mitigate the issues of islanding detection (ID). In context of this, the paper gives a comprehensive review of islanding issues, standard test systems, criteria and shifting of research trends in islanding detection methods (IDMs). The significant contributions pertain to categorization of IDMs, evaluation of non-detection zone (NDZ) for each test system, disquisition on evolution and advancement of IDMs and its comparisons based on criteria such as NDZ, run on time, nuisance tripping percentage, applicability in multi DG system and implementation cost to draw out the strength and shortcomings of individual methods that will come to aid to the companies or researchers for establishing the applicability and appropriateness of such method for their concerned domain.

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“…The method is based on the positive feedback principle like other known techniques [12]- [15], [26]. However, this method does not reduce the power factor quality, and it works properly if the power factor reference is not the unity.…”

Section: δQmentioning

confidence: 99%

“…There are different types of disturbances among positive feedback methods like Frequency Drift, Sliding Mode Frequency Shift (SMS) [11], Sandia Voltage Shift (SVS), or based on reactive power disturbances [12]- [14], among others [15]. The proposed Q-f correlation method belongs to the latter category.…”

mentioning

confidence: 99%

New Low-Distortion $Q$–$f$ Droop Plus Correlation Anti-Islanding Detection Method for Power Converters in Distributed Generation Systems

Munoz-Cruzado-Alba

Villegas-Nunez

Vite-Frias

et al. 2015

IEEE Trans. Ind. Electron.

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A new active Q-f droop anti-islanding algorithm is proposed. The method is based on frequency and reactive power cross-correlation measures. The proposed control technique is intended to fulfil recent and future grid code requirements. The algorithm looks for a zero non-detection zone, adding low disturbances, working with long frequency excursions and nondependency of the power factor setpoint. The method was verified using a set of simulation models developed in PSCAD environment. The tests show results for several quality factors and different active power levels. Also, a comparative against other anti-islanding methods is presented. Experimental and simulation tests provide further insight on the controllers performance under different working conditions, considering several quality factors and active power levels. Moreover, its performance is assessed comparing the proposed controller behavior against state-of-theart anti-islanding methods.

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Active islanding detection method using d ‐axis disturbance signal injection with intelligent control

Cited by 31 publications

References 29 publications

Problems in the Classic Frequency Shift Islanding Detection Methods Applied to Energy Storage Converters and a Coping Strategy

Problems in the Classic Frequency Shift Islanding Detection Methods Applied to Energy Storage Converters and a Coping Strategy

Shifting of research trends in islanding detection method - a comprehensive survey

New Low-Distortion $Q$–$f$ Droop Plus Correlation Anti-Islanding Detection Method for Power Converters in Distributed Generation Systems

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