Event-Triggered Hybrid Anti-Islanding Protection Scheme Based on Q-Axis Disturbance Injection

Distributed generators are required to be integrated with sophisticated anti-islanding protection system (AIPS). However, most conventional AIPS fails to detect unintentional islanding event during perfectly matched loading conditions. To overcome this issue, in this article, a hybrid islanding dete...

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Bibliographic Details
Published in:IEEE transactions on industrial electronics (1982) 2024-06, Vol.71 (6), p.5787-5796
Main Authors: Patekar, Rakesh Shamrao, Pal, Diptak, Panigrahi, Bijaya Ketan
Format: Article
Language:English
Subjects:
Algorithms
Antiislanding technique
Costs
Distributed generation
Distributed generation (DG)
disturbunce injection
Electric power systems
Frequency deviation
Inverters
Islanding
islanding identification
Kinetic energy
Mathematical models
Power quality
protection
rate of change of kinetic energy (ROCOKE)
Reactive power
real-time digital simulator (RTDS)
Signal injection
typhoon hardware-in-loop (HIL)
Voltage control
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Summary:Distributed generators are required to be integrated with sophisticated anti-islanding protection system (AIPS). However, most conventional AIPS fails to detect unintentional islanding event during perfectly matched loading conditions. To overcome this issue, in this article, a hybrid islanding detection algorithm has been proposed based on the rate of change of kinetic energy and root-mean-square value of absolute frequency deviation at the point of common coupling (PCC). The methodology presents a significant contribution prior to the state-of-the-art methods in terms of the disturbance injection mechanism through the q -axis current control loop of the grid-tied inverter. The method activates the disturbance signal injection mechanism only when an unintentional islanding event is suspected based on monitoring certain parameters at the PCC. This mechanism has been proposed to have zero nondetection zone, very fast operation, straightforward implementation, and significantly less impact on the power quality and stability of the power electronics system. The performance of the proposed method has been evaluated by conducting 200+ islanding and nonislanding case studies in simulation as well as an experimental platform. The proposed method is robust, accurate, and fast enough to detect an islanding event cleverly with a detection time as small as 120 ms.
ISSN:0278-0046
1557-9948
DOI:10.1109/TIE.2023.3292864