Passive islanding detection technique for synchronous generators based on performance ranking of different passive parameters

Raza, Safdar; Arof, Hamzah; Mokhlis, Hazlie; Mohamad, Hasmaini; Illias, Hazlee Azil

doi:10.1049/iet-gtd.2016.0806

Cited by 31 publications

(12 citation statements)

References 25 publications

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“…The proposed method results in a low computational burden [9, 20] in comparison with remote and intelligent IDMs [6] or advanced passive IDMs [11], which makes it suitable for implementation in large‐scale power systems. In addition, compared to other passive methods like [9–11, 49], the NDZ is significantly reduced. In general, any change in the power grid that affects the voltage of load at the PCC can be identified and separated from the islanding conditions.…”

Section: Resultsmentioning

confidence: 98%

Hybrid islanding detection technique for single‐phase grid‐connected photovoltaic multi‐inverter systems

Barkat

Cheknane

Guerrero

et al. 2020

IET Renewable Power Generation

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This study presents the performance of a novel hybrid islanding detection method for multi‐single‐phase photovoltaic (PV) inverters based on the combination of four active methods and three passive methods. Although islanding detection in PV multi‐inverter systems has been widely researched, most islanding studies are focused on three‐phase inverters, rather than single‐phase ones. In this study, different active and passive methods are used to detect the islanding of four paralleled single‐phase PV inverters. By combining those methods synergistically, it reduces their weakness of each method, while combining their advantages. The novelty of the proposed system methodology consists of four paralleled single‐phase inverters equipped with four different active methods, namely active frequency drift, Sandia frequency shift (SFS), sliding mode frequency shift, and Sandia voltage shift triggered by a block composed of three passive methods: voltage frequency protection, rate of change of frequency, and DC‐link. This novel hybrid system is studied under different detailed scenarios, where it shows its performance and characteristics.

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Section: Resultsmentioning

confidence: 98%

Hybrid islanding detection technique for single‐phase grid‐connected photovoltaic multi‐inverter systems

Barkat

Cheknane

Guerrero

et al. 2020

IET Renewable Power Generation

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show abstract

“…Local islanding detection techniques can be classified into two categories such as passive and active. Passive methods [24], do not affect power quality of DG systems, monitor the system parameters such as voltage, current, frequency etc. to determine if they are in acceptable threshold band to detect an islanding event, but they may fail to detect islanding operations when the local load closely match with the DG output [25].…”

Section: Introductionmentioning

confidence: 99%

Research on smooth switching and islanding detection technology for ER system

Zheng

Cui

Jiang

et al. 2020

IET Renewable Power Generation

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For the energy router (ER) switching on/off frequently to select the optimal route, this study mainly solves the problem of on/off-grid switching and islanding detection of grid-connected inverters on the AC side of ERs. A control strategy based on disturbance observer is proposed to suppress the disturbance of the output current to the output voltage. At the same time, the improved pre-synchronisation method is used to achieve fast synchronisation of voltage amplitude and phase. Then, an improved frequency-shift method is proposed for islanding and non-detection zone detection for droop control grid-connected inverters. Finally, the proposed methods are verified by simulation and experiments.

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“…This phenomenon can be easily detected, and the connection between the inverter and the grid will be cut off [5][6][7][8]. Compared with the active detection method, the passive islanding detection method does not add any disturbance, but simply prevents islanding by detecting the change of voltage, frequency, phase and harmonics at the connection point between the grid-connected inverter and the grid [9][10][11][12][13]. The passive detection method generally has lower cost and is simple to implement.…”

Section: Introductionmentioning

confidence: 99%

Passive Islanding Detection Method for Grid-Connected Inverters Based on Closed-Loop Frequency Control

Liu

Zheng

et al. 2019

J. Electr. Eng. Technol.

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Islanding detection is one of the frontier research problems in the study of distributed grid. The non-detection zone of traditional passive detection method is large, and existing active detection methods for non-detection zones are complicated. Aiming at the above problems, this paper proposes a novel passive islanding detection method with the help of closed-loop frequency control (CFC). In this new method, a high-frequency impedance detection method is combined with CFC to prevent the occurrence of islanding, and the frequency tracking principle and high-frequency impedance characteristics of the CFC are analyzed. Load impedance characteristics under different islanding conditions are also discussed. Simulation and experimental results show that proposed method is able to detect the occurrence of inverter disconnection quickly and accurately, and non-detection zone is also eliminated.

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Passive islanding detection technique for synchronous generators based on performance ranking of different passive parameters

Cited by 31 publications

References 25 publications

Hybrid islanding detection technique for single‐phase grid‐connected photovoltaic multi‐inverter systems

Hybrid islanding detection technique for single‐phase grid‐connected photovoltaic multi‐inverter systems

Research on smooth switching and islanding detection technology for ER system

Passive Islanding Detection Method for Grid-Connected Inverters Based on Closed-Loop Frequency Control

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