Selective Nonunit Protection Technique for Multiterminal VSC-HVDC Grids

Bertho, Rui; Lacerda, Vinícius Albernaz; Monaro, Renato M.; Vieira, José Carlos M.; Coury, Denis Vinicius

doi:10.1109/tpwrd.2017.2756831

Cited by 69 publications

(14 citation statements)

References 27 publications

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“…But this method did not consider the impact of fault resistances and noise disturbance. Reference [98] proposed a protection scheme based on the fuzzy control algorithm, which used a multi-layer wavelet transform to extract fault features and implemented the fault recognition function through training weights. However, the maximum detectable fault resistance is only 50Ω.…”

Section: E Intelligent Algorithm Based Protection Schemesmentioning

confidence: 99%

DC Fault Protection Algorithms of MMC-HVDC Grids: Fault Analysis, Methodologies, Experimental Validations, and Future Trends

Xiang

Yang

Adam

et al. 2021

IEEE Trans. Power Electron.

130

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To protect the converters and minimize the power transmission interruption during DC line faults, it is necessary to detect the faults at ultra-high-speed for the MMC based HVDC grids. This paper reviews the state-of-the-art of DC fault protection methods of MMC HVDC grids, and summarizes the underlying principles of each method. On this basis, the DC fault characteristics analysis in terms of modal-domain, time-domain and frequency-domain are analyzed, which direct the protection design. Typical boundary protection and non-boundary protection schemes are reviewed. The advantages and disadvantages of existing fault protection methods are compared. A two-terminal MMC-HVDC prototype is developed to test the effectiveness of three fault protection methods. Comprehensive quantitative assessments of the protection methods discussed above are carried out in a four-terminal MMC HVDC grid. Finally, the future trends of the protection schemes are discussed and the findings are concluded.

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Section: E Intelligent Algorithm Based Protection Schemesmentioning

confidence: 99%

DC Fault Protection Algorithms of MMC-HVDC Grids: Fault Analysis, Methodologies, Experimental Validations, and Future Trends

Xiang

Yang

Adam

et al. 2021

IEEE Trans. Power Electron.

130

View full text Add to dashboard Cite

show abstract

“…It transforms a large variable set into a smaller one that still contains most of the information in the large set. Its definition is shown in (8) and (9) [4].…”

Section: ) Features With Classifiersmentioning

confidence: 99%

An End-to-end Transient Recognition Method for VSC-HVDC Based on Deep Belief Network

Luo

Hei

Yao

et al. 2020

Journal of Modern Power Systems and Clean Energy

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Lightning is one of the most common transient interferences on overhead transmission lines of high-voltage direct current (HVDC) systems. Accurate and effective recognition of faults and disturbances caused by lightning strokes is crucial in transient protections such as traveling wave protection. Traditional recognition methods which adopt feature extraction and classification models rely heavily on the performance of signal processing and practical operation experiences. Misjudgments occur due to the poor generalization performance of recognition models. To improve the recognition rates and reliability of transient protection, this paper proposes a transient recognition method based on the deep belief network. The normalized line-mode components of transient currents on HVDC transmission lines are analyzed by a deep belief network which is properly designed. The feature learning process of the deep belief network can discover the inherent characteristics and improve recognition accuracy. Simulations are carried out to verify the effectiveness of the proposed method. Results demonstrate that the proposed method performs well in various scenarios and shows higher potential in practical applications than traditional machine learning based ones. Index Terms-Deep belief network, transient recognition, machine learning, voltage source converter based high-voltage direct current (VSC-HVDC).

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“…Therefore, protection schemes were proposed that utilize knowledge about the system's topology in order to achieve selectivity. For example, faults can be located by measuring the grid's impedance and comparing it to known line parameters, or a wavelet transform can be used to identify faults by comparing them to simulations of the system [24][25][26][27][28]. Furthermore, a handshaking protection scheme was introduced, which locates and isolates a fault by temporarily powering down the dc system [29].…”

Section: Introductionmentioning

confidence: 99%

Decentralized Plug-and-Play Protection Scheme for Low Voltage DC Grids

et al. 2020

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Since the voltages and currents in dc grids do not have a natural zero-crossing, the protection of these grids is more challenging than the protection of conventional ac grids. Literature presents several unit and non-unit protection schemes that rely on communication, or knowledge about the system’s topology and parameters in order to achieve selective protection in these grids. However, communication complicates fast fault detection and interruption, and a system’s parameters are subject to uncertainty and change. This paper demonstrates that, in low voltage dc grids, faults propagate fast through the grid and interrupted inductive currents commutate to non-faulted sections of the grid, which both can cause circuit breakers in non-faulted sections to trip. A decentralized plug-and-play protection scheme is proposed that ensures selectivity via an augmented solid-state circuit breaker topology and by utilizing the proposed time-current characteristic. It is experimentally shown that the proposed scheme provides secure and selective fault interruption for radial and meshed low voltage dc grids under various conditions.

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Selective Nonunit Protection Technique for Multiterminal VSC-HVDC Grids

Cited by 69 publications

References 27 publications

DC Fault Protection Algorithms of MMC-HVDC Grids: Fault Analysis, Methodologies, Experimental Validations, and Future Trends

DC Fault Protection Algorithms of MMC-HVDC Grids: Fault Analysis, Methodologies, Experimental Validations, and Future Trends

An End-to-end Transient Recognition Method for VSC-HVDC Based on Deep Belief Network

Decentralized Plug-and-Play Protection Scheme for Low Voltage DC Grids

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