An Active Islanding Detection Strategy With Zero Nondetection Zone for Operation in Single and Multiple Inverter Mode Using GPS Synchronized Pattern

Sivadas, Deepthi; Vasudevan, Krishna

doi:10.1109/tie.2019.2931231

Cited by 40 publications

(33 citation statements)

References 26 publications

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“…• The presented active IDM in [26] with measurement of the daxis equivalent resistance identifies islanding effectively. However, the equations for extending the method to multi-DGs case are complex especially for more than two DGs.…”

Section: Comparison Of the Proposed Algorithm With Other Existing Metmentioning

confidence: 99%

“…In active plans, an intentional disturbance has been inserted to ride a local yardstick out of tolerable range in LOM states while its influence at the network presence is very small [21][22][23][24][25][26]. Impedance measurement [21,22], voltage positive feedback (VPF) [23], active ROCOF [24], parallel reactance switching [25], and daxis equivalent resistance [26] are some instances of recent active IDMs. Although this ongoing disturbance can effectively diminish NDZ, it deteriorates the power quality of the distribution network.…”

Section: Introductionmentioning

confidence: 99%

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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: Comparison Of the Proposed Algorithm With Other Existing Metmentioning

confidence: 99%

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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“…7. Frequency sweeps are usually undertaken by attaching specialised hardware at the point of interest [52], injecting small steady state sinusoidal perturbations at a wide range of frequencies, and employing Fourier analysis to calculate the network impedance in the frequency domain, as per (18) where ω represents the perturbation frequency [5], [75]. Note that the perturbation frequency must be different to the fundamental frequency.…”

Section: ) Frequency Sweepsmentioning

confidence: 99%

“…The estimation techniques employed in [12]- [14] are based on the injection of a nonharmonic current, followed by fast Fourier transform (FFT) of the nonharmonic frequency current and voltage response. [15], [18] collected information about the system by varying the outer loop active power (P) and reactive power (Q) references.…”

Section: Introductionmentioning

confidence: 99%

Review of Local Network Impedance Estimation Techniques

et al. 2020

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“…These computational-based IDMs present smaller NDZ, the settings, however, are highly depended on the case study system. In order to alleviate the NDZ, active IDMs that exploit an intentional disturbance to facilitate the deviation of local features in islanded mode, have been presented [19]- [25]. Although the injected disturbance enhances the NDZ and detection time, it deteriorates the power quality of the distribution network.…”

Section: Introductionmentioning

confidence: 99%

Two-Level Islanding Detection Method for Grid-Connected Photovoltaic System-Based Microgrid With Small Non-Detection Zone

Bakhshi‐Jafarabadi

Sadeh

Chávez

et al. 2021

IEEE Trans. Smart Grid

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This paper proposes a fast and reliable two-level islanding detection method (IDM) for grid-connected photovoltaic systems (GCPVSs) based microgrid. In the first level of the proposed IDM, the magnitude of rate of change of output voltage (ROCOV) is computed. If this variable exceeds a predefined threshold, a disturbance is injected into the duty cycle of DC/DC converter after a given time delay to deviate the system operating point away of its maximum power point (MPP) condition. This leads to a substantial active power output and voltage reduction in islanded mode. Therefore, the ROCOV and the rate of change of active power output (ROCOP) indices, measured in the second stage, pose great negative sets at the same time in islanding states. However, the variation of at least one of these variables is nearzero in non-islanding switching events. The assessment of the presented algorithm has been conducted under extensive islanding and non-islanding scenarios for a case study system with two PV power plants using hardware-in-the-loop (HiL) simulation tests. The provided results remark precise islanding classification with eminently small non-detection zone (NDZ) within 510 ms. The presented IDM has the advantages of self-standing thresholds determination, no improper effect on the output power quality, and simple and inexpensive structure. Moreover, the fast MPP restoration of the proposed scheme after islanding identification boosts the chance of seamless reconnection and DG autonomous operation in microgrid. Index Terms-Grid-connected photovoltaic system (GCPVS), Islanding detection method (IDM), Maximum power point (MPP), Microgrid, Non-detection zone (NDZ), Rate of change of active power output (ROCOP), Rate of change of output voltage (ROCOV).

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An Active Islanding Detection Strategy With Zero Nondetection Zone for Operation in Single and Multiple Inverter Mode Using GPS Synchronized Pattern

Cited by 40 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

Review of Local Network Impedance Estimation Techniques

Two-Level Islanding Detection Method for Grid-Connected Photovoltaic System-Based Microgrid With Small Non-Detection Zone

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