Islanding detection technique based on inverse hyperbolic secant function

Sareen, Karan; Bhalja, Bhavesh R.; Maheshwari, R. P.

doi:10.1049/iet-rpg.2015.0500

Cited by 31 publications

(22 citation statements)

References 26 publications

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“…Recently, mathematical tools have been applied as the strong classifiers to categorise islanding and normal operational modes [15][16][17][18][19][20]. For instance, a decision tree-based intelligent relay has been recommended by Cui et al [15].…”

Section: Introductionmentioning

confidence: 99%

New voltage feedback‐based islanding detection method for grid‐connected photovoltaic systems of microgrid with zero non‐detection zone

Bakhshi‐Jafarabadi

Sadeh

2020

IET Renewable Power Generation

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This study proposes a fast and precise voltage feedback-based islanding detection method (IDM) for grid-connected photovoltaic systems (GCPVSs) based microgrid. In this algorithm, a disturbance containing the absolute deviation of the output voltage is injected into the inverter's d-axis reference current which tunes the active power output. In islanded mode, the applied disturbance reduces the active power output and consequently point of common coupling voltage beyond the standard setting while its effect at the presence of the grid is negligible. The assessment of the proposed IDM has been conducted in the MATLAB/Simulink platform under extensive scenarios defined by IEEE 1547-2008 and UL 1741 standards for a case study system with two large-scale GCPVSs. The provided outputs remark accurate islanding classification in all cases within 810 ms, much lower than the maximum permissible time postulated in islanding standards. This time is short enough to restore GCPVS for autonomous operation of microgrid as well. The comparative analysis of the proposed strategy with a few existing IDMs confirmed its overall superiorities in the terms of non-detection zone, detection time, being applicable into the microgrid, simple threshold determination, and straightforward and cost-effective implementation.

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Section: Introductionmentioning

confidence: 99%

New voltage feedback‐based islanding detection method for grid‐connected photovoltaic systems of microgrid with zero non‐detection zone

Bakhshi‐Jafarabadi

Sadeh

2020

IET Renewable Power Generation

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“…Based on the local measurements, IDTs are of two types, passive and active techniques. Sareen et al 12 used the deflection rate of the negative sequence voltage signal but failed for low power mismatches. Recent works on passive IDT, which have been proposed to reduce non detection zone (NDZ), are based on oscillation frequency 9 ,rate of change of sequence components of currents 10 and mathematical morphology-based operators 11 .…”

Section: Introductionmentioning

confidence: 99%

“…However, it showed nuisance tripping for three-phase faults involving ground. Sareen et al 12 used the deflection rate of the negative sequence voltage signal but failed for low power mismatches.…”

Section: Introductionmentioning

confidence: 99%

A combined islanding detection algorithm for grid connected multiple microgrids for enhanced microgrid utilisation

Radhakrishnan

Ashok

Sunitha

2019

Int Trans Electr Energ Syst

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SUMMARY There is an abundant interest in microgrids due to its innate ability to operate in either utility connected or isolated mode. The existing conventional methods disconnect the individual distributed generators on loss of utility. In this work, a combined islanding detection algorithm at the point of common coupling (PCC) of the whole microgrid is proposed. It detects islanding using islanding detection monitoring factor, rate of change of inverse hyperbolic cosecant function, and voltage at the PCC as the islanding detection elements with the help of phasor measurement units. On detection of islanding event, the whole microgrid is transferred to autonomous mode. Moreover, any fault in the microgrid side which may isolate the distributed generator is detected using dilation and erosion mathematical morphological operators. The algorithm estimates the probability of power balance and probability of islanding duration at the control centre for events within the microgrid. The decision for islanded operation or disconnecting the distributed generator is communicated based on this. The proposed method is tested on a microgrid test system and verified on a section of the realistic local feeder of the Indian utility system. The simulation results indicate that the developed algorithm is quick, reliable, and secure in discriminating between the islanding and nonislanding scenarios for the various cases during both import and export conditions with an accuracy of 100%. It eliminates the nondetection zone completely even during zero power mismatch conditions. With the proposed method, any unnecessary distributed generator outage can be avoided enhancing the microgrid utilisation.

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“…However, they have non-detectable zone for power match of active and reactive powers. Some of these methods include: frequency relay, voltage relay, rate of change of frequency (ROCOF) relay, rate of change of phase angle difference (ROCPAD) relay, rate of change of impedance, rate of change of sequence components of current, single-phase operating circuit breaker, inverse hyperbolic secant function, system identification, rate of change of frequency over reactive power, voltage phase angle, feature extractions from differential transient rate of change of frequency, and use of multi features to reduce non-detection zone (NDZ) of vector surge relay, rate of change of negative sequence voltage and current [3][4][5][6][7][8][9][10][11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

“…to(9) and(10), the RCPSV and RCPSC are the maxmimum sample of the positive sequence component of voltage and the positive sequence component of current, respectively. n is number of sampling during monitor time.…”

mentioning

confidence: 99%

A novel passive islanding detection scheme for distributed generations based on rate of change of positive sequence component of voltage and current

Rostami

Jalilian

Naderi

et al. 2017

2017 Australasian Universities Power Engineering Conference (AUPEC)

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Islanding operation is one of serious hazards of distributed generation (DG) applications. According to IEEE 1547 standard, its occurrence must be detected within two seconds. This paper presents a novel passive islanding detection method based on rate of change of positive sequence component of voltage (RCPSV) and rate of change of positive sequence component of current (RCPSC) acquired at point of common coupling (PCC) of the targeted DG. Whenever the RCPSC and RCPSV are not equal to zero, their change of magnitudes is continuously compared to predetermined threshold values. If both values of RCPSC and RCPSV exceed the predetermined threshold values, it is concluded that the islanding condition has occurred. Otherwise, it is considered as a non-islanding event. The performance of the proposed method is investigated on a sample network in the presence of doubly fed induction generator (DFIG) based wind turbine and synchronous diesel generator DGs by MATLAB/Simulink software. Different nonislanding case studies are taken into account to evaluate the effectiveness of the proposed approach. The simulation results show that the proposed method has advantage of detecting the islanding rapidly and accurately even with zero non-detection zone (NDZ).

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Islanding detection technique based on inverse hyperbolic secant function

Cited by 31 publications

References 26 publications

New voltage feedback‐based islanding detection method for grid‐connected photovoltaic systems of microgrid with zero non‐detection zone

New voltage feedback‐based islanding detection method for grid‐connected photovoltaic systems of microgrid with zero non‐detection zone

A combined islanding detection algorithm for grid connected multiple microgrids for enhanced microgrid utilisation

A novel passive islanding detection scheme for distributed generations based on rate of change of positive sequence component of voltage and current

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