Study on Direct Lightning Protection of $\pm\ 1100\text{kV}$ Converter Station Grid

Chen, Xiujuan; Xia, Chao; Shi, Weidong; Lu, Tiebing; Lei, Ting; Zhao, Xia

doi:10.1109/apl.2019.8815971

Cited by 2 publications

(4 citation statements)

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“…The lightning current is usually negative, and the standard lightning current waveform recommended by the International Electrotechnical Commission (IEC) is a double-exponential function model [7]:…”

Section: ) Lightning Current Modelmentioning

confidence: 99%

“…2) LIGHTNING DISTURBANCE AND POSITIVE PTG FAULT Because the lightning current is usually negative as shown in (11), the positive pole DC line is most vulnerable to lightning disturbance [7]. Fig.…”

Section: ) Lightning Current Modelmentioning

confidence: 99%

“…However, the changes of transient electrical quantities such as line voltage and current caused by lightning disturbance are very similar to the real DC faults in a short time [6]. They will both lead to the drop of voltage, the rapid rise of current and the high frequency component of voltage and current, which pose a great challenge to the fault identification of the primary protection for the MMC-HVDC grid [7].…”

Section: Introductionmentioning

confidence: 99%

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An Auxiliary Fault Identification Strategy of Flexible HVDC Grid Based on Convolutional Neural Network With Branch Structures

Mashino

Liu²,

Zhan³

et al. 2020

IEEE Access

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Lightning disturbance may be misjudged as dc fault by the primary protection in the flexible high voltage dc (HVDC) grid. To solve this problem, an auxiliary fault identification strategy based on convolutional neural network with branch structures (BR-CNN) is proposed in this paper. In the proposed scheme, the voltage and current characteristic matrix is constructed as the input matrix of BR-CNN model and the output categories include positive pole-to-ground (PTG) fault and lightning disturbance. Voltage and current branches are constructed to extract high-level local features of input data layer by layer, and main branch is designed to realize the comprehensive utilization of voltage and current information. Through autonomous learning of the model, the nonlinear mapping relationship between input and output is constructed. The method only uses the single-terminal quantities, and can be used as an auxiliary criterion to improve the reliability of the primary protection. The test results verify the effectiveness of the method, and the recognition accuracy is better than the traditional classification models.

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Section: ) Lightning Current Modelmentioning

confidence: 99%

Section: ) Lightning Current Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An Auxiliary Fault Identification Strategy of Flexible HVDC Grid Based on Convolutional Neural Network With Branch Structures

Mashino

Liu²,

Zhan³

et al. 2020

IEEE Access

View full text Add to dashboard Cite

show abstract

“…For example, the input impedance of loads affects the effective protection distance of SPDs [13], and the increase in ground potential caused by lightning affects the residual voltage of lowvoltage SPDs [14]. In addition, for the complex and harsh electromagnetic environment of UHV transmission systems [15][16], research on electromagnetic disturbance test methods [17][18] and surge suppression measures [19][20] has been carried out.…”

Section: Introductionmentioning

confidence: 99%

Study of a Combined Surge Protective Device for a Relay Protection Circuit in a UHV Converter Station

Zhang

2020

IEEE Access

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This paper focuses on the problem that the voltage recovery time of relay protection circuits in converter stations is too long under lightning surges. A surge protective device (SPD) in a relay protection circuit in an ultrahigh-voltage (UHV) converter station is investigated. Based on the action characteristics of a gas discharge tube (GDT) and metal oxide varistor (MOV) under a 1.2/50 μs lightning surge, the equivalent circuit model of a series-combined SPD is established. In the equivalent circuit model, this study considers the breakdown voltage, nonlinear impedance, parasitic capacitance, stray inductance and other parameters of GDTs and MOVs. Simulation analysis shows that a series-combined SPD can significantly increase the residual voltage and shorten the voltage recovery time of the protected system. To verify the simulation results, a test platform based on a low-voltage DC voltage divider was built for the lightning surge test. The test results are consistent with the simulation results, verifying that a series-combined SPD can meet the dual surge protection requirements of peak suppression and fast voltage recovery.

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Study on Direct Lightning Protection of $\pm\ 1100\text{kV}$ Converter Station Grid

Cited by 2 publications

References 0 publications

An Auxiliary Fault Identification Strategy of Flexible HVDC Grid Based on Convolutional Neural Network With Branch Structures

An Auxiliary Fault Identification Strategy of Flexible HVDC Grid Based on Convolutional Neural Network With Branch Structures

Study of a Combined Surge Protective Device for a Relay Protection Circuit in a UHV Converter Station

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