Superimposed Impedance-Based Passive Islanding Detection Scheme for DC Microgrids

Choudhury, Bhabani Kumari; Jena, Premalata

doi:10.1109/jestpe.2021.3076459

Cited by 25 publications

(9 citation statements)

References 48 publications

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“…Islanding detection techniques are mainly classified into local and remote [39][40][41]. Local islanding techniques are further classified as passive, active and hybrid techniques, based on non-detection zone (NDZ), detection speed, power quality, error detection rate and efficacy in multiple inverter cases.…”

Section: Classification Of Islanding Detection Methodsmentioning

confidence: 99%

Islanding Detection Methods for Microgrids: A Comprehensive Review

et al. 2021

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Microgrids that are integrated with distributed energy resources (DERs) provide many benefits, including high power quality, energy efficiency and low carbon emissions, to the power grid. Microgrids are operated either in grid-connected or island modes running on different strategies. However, one of the major technical issues in a microgrid is unintentional islanding, where failure to trip the microgrid may lead to serious consequences in terms of protection, security, voltage and frequency stability, and safety. Therefore, fast and efficient islanding detection is necessary for reliable microgrid operations. This paper provides an overview of microgrid islanding detection methods, which are classified as local and remote. Various detection methods in each class are studied, and the advantages and disadvantages of each method are discussed based on performance evaluation indices such as non-detection zone (NDZ), detection time, error detection ratio, power quality and effectiveness in multiple inverter cases. Recent modifications on islanding methods using signal processing techniques and intelligent classifiers are also discussed. Modified passive methods with signal processing and intelligent classifiers are addressing the drawbacks of passive methods and are getting more attention in the recently published works. This comprehensive review of islanding methods will provide power utilities and researchers a reference and guideline to select the best islanding detection method based on their effectiveness and economic feasibility.

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Section: Classification Of Islanding Detection Methodsmentioning

confidence: 99%

Islanding Detection Methods for Microgrids: A Comprehensive Review

et al. 2021

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“…Additionally, islanding detection in the dc microgrid is also receiving much attention. A passive method and an active method were proposed in [24] and [25], respectively. Choudhury and Jena [24] used the cumulative sum of superimposed impedance for islanding detection.…”

Section: Compatibility Issues With Irregular Current Injection Island...mentioning

confidence: 99%

“…A passive method and an active method were proposed in [24] and [25], respectively. Choudhury and Jena [24] used the cumulative sum of superimposed impedance for islanding detection. In [25], a small ac voltage was superimposed on the output dc voltage and the frequency possessed voltage positive feedback, whereby the grid voltage would oscillate when an island event occurred.…”

Section: Compatibility Issues With Irregular Current Injection Island...mentioning

confidence: 99%

Compatibility Issues With Irregular Current Injection Islanding Detection Methods in Multi-DG Units Equipped With Grid-Connected Transformers

Liu

Zhao

Qing

et al. 2022

IEEE Trans. Power Electron.

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“…[17]- [20] requires to inject a disturbance to estimate the grid connection state. In contrast, passive methods [15], [16], [21] work as an observer. Both passive and active implementations can be found in practice: passive islanding techniques in DC look for unwanted voltage variations (or changes in the harmonic content of the DC bus voltage) while active methods try to perturb and observe the DC bus voltage.…”

Section: Introductionmentioning

confidence: 99%

“…Spe- [22]- [28]. In DC systems, these methods are based on the output impedance estimation to detect changes in the grid connection state [13]- [15].…”

Section: Introductionmentioning

confidence: 99%

Distributed Islanding Detection in Multisource DC Microgrids: Pilot Signal Cancelation

et al. 2022

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Integrating Distributed Generators (DGs) in DC microgrids require islanding detection in all converters. Impedance-based islanding detection methods can be beneficial in single-converter scenarios. However, their implementation in multi-converter systems is challenging due to interference among DGs. This paper proposes a Leader/Follower strategy for each active participant of the DC microgrid to independently detect the grid connection state. While the Leader injects a small AC pilot signal to estimate the impedance at its terminals, the Followers implement the proposed pilot signal cancellation (PSC) to present a virtual disconnection from the bus at ω p . This leads to two core benefits: the Leader does not receive interference from the input impedance of the followers yielding accurate islanding detection for the Leader, and the followers can detect the islanding condition independently, with no need to increase the PSC amplitude. The proposed method provides independent and simultaneous islanding detection for all active participants in the DC microgrid. At the same time, it is scalable by the number of parallel-converters, not requiring any communication. Finally, the method has a minimal effect on the bus voltage.

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Superimposed Impedance-Based Passive Islanding Detection Scheme for DC Microgrids

Cited by 25 publications

References 48 publications

Islanding Detection Methods for Microgrids: A Comprehensive Review

Islanding Detection Methods for Microgrids: A Comprehensive Review

Compatibility Issues With Irregular Current Injection Islanding Detection Methods in Multi-DG Units Equipped With Grid-Connected Transformers

Distributed Islanding Detection in Multisource DC Microgrids: Pilot Signal Cancelation

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