Transient fault identification method for bipolar short‐circuit fault on MMC‐HVDC overhead lines based on hybrid HVDC breaker

Li, Botong; Li, Chunbo; Li, Bin; Wen, Weijie; Cui, Hanqing; Su, Jiang

doi:10.1049/hve2.12091

Cited by 10 publications

(6 citation statements)

References 16 publications

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“…The author presented a detailed discussion of a new power line fault detection method that uses DWT [44]. Based on an MMC-HVDC line fault source, the hybrid HVDC breaker proved to be a reliable method for transient fault detection [45]. A Monte Carlo simulation was performed to assess the effectiveness of a fuzzy inference system incorporating adaptive networks for locating transmission line faults [46].…”

Section: -Artificial Intelligent Control Of Hvdc Systemmentioning

confidence: 99%

Artificial Intelligence-based Control Techniques for HVDC Systems

Abdulwahid

2023

Emerg Sci J

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The electrical energy industry depends, among other things, on the ability of networks to deal with uncertainties from several directions. Smart-grid systems in high-voltage direct current (HVDC) networks, being an application of artificial intelligence (AI), are a reliable way to achieve this goal as they solve complex problems in power system engineering using AI algorithms. Due to their distinctive characteristics, they are usually effective approaches for optimization problems. They have been successfully applied to HVDC systems. This paper presents a number of issues in HVDC transmission systems. It reviews AI applications such as HVDC transmission system controllers and power flow control within DC grids in multi-terminal HVDC systems. Advancements in HVDC systems enable better performance under varying conditions to obtain the optimal dynamic response in practical settings. However, they also pose difficulties in mathematical modeling as they are non-linear and complex. ANN-based controllers have replaced traditional PI controllers in the rectifier of the HVDC link. Moreover, the combination of ANN and fuzzy logic has proven to be a powerful strategy for controlling excessively non-linear loads. Future research can focus on developing AI algorithms for an advanced control scheme for UPFC devices. Also, there is a need for a comprehensive analysis of power fluctuations or steady-state errors that can be eliminated by the quick response of this control scheme. This survey was informed by the need to develop adaptive AI controllers to enhance the performance of HVDC systems based on their promising results in the control of power systems. Doi: 10.28991/ESJ-2023-07-02-024 Full Text: PDF

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Section: -Artificial Intelligent Control Of Hvdc Systemmentioning

confidence: 99%

Artificial Intelligence-based Control Techniques for HVDC Systems

Abdulwahid

2023

Emerg Sci J

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“…Compared to point-to-point transmission, the multi-terminal high-voltage direct current (HVDC) grid offers several advantages, such as connecting a larger number of renewable energy sources and provides higher power supply reliability, making it a key area of focus in future grid research (Li et al, 2021). The voltage-source converter (VSC) technologies, specifically those based on the modular multilevel converter (MMC), are rapidly expanding the applications of high-voltage direct current (Shu et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

A DC fault current fast-computing method of MMC-HVDC grid with short circuit protection equipment

Zhang,

Yang,

Zhuo

2024

Front. Energy Res.

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The multi-terminal modular multi-level converter-based high voltage direct current (MMC-HVDC) grid with short circuit protection equipment (SCPE) is so complex that it is difficult to estimate its fault current and analyze the performance of SCPE by conventional time-domain numerical calculation method, it meets three big obstacles. This paper has made significant progress in overcoming these obstacles. 1). By applying the modern electrical circuit theory, a systematic formulation of the differential equation set for fault current calculation is developed to avoid a lot of complex and cumbersome matrix manual calculations. 2). A novel Y-Delta transformation in the s-domain is proposed to develop an eliminating virtual node approach for a complex MMC-HVDC grid, including the ring, radial, and hybrid topologies. 3). It is difficult to solve the equivalent circuit of MMC-HVDC grid with SCPE since SCPE is a time-variable-nonlinear circuit. A canonical voltage source model of SCPE is established to transform the time-variable-nonlinear circuit into a piecewise linear circuit. Based on the three significant progresses, a DC fault current fast-computing method of MMC-HVDC grid with SCPE is put forward to deal with all kinds of MMC-HVDC grids with several kinds of SCPEs. Then, the performance of several kinds of SCPE is analyzed and compared by this method. Consequently, the proposed DC fault current fast-computing method is a new powerful tool to estimate the fault current of MMC-HVDC grid and analyze the performance of SCPE.

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“…When a fault occurs in the receiving AC system, the fault quickly develops and creates a large power surplus on the flexible bus, resulting in an overvoltage and a serious threat to the safety of the converter manifold. It urgently requires a quick energy relief device on the flexible bus to control the switching equipment with an action time <1 ms and a rated voltage of up to 100 kV to achieve a rapid release of surplus energy, reduce overvoltage and achieve the purpose of safe protection of the transmission system [3][4][5][6][7]. The gas gap switch based on pulse power technology is extended by a high-voltage pulse discharge to generate an arc along the surface, which ablates the insulating gas-producing material inside the trigger cavity and generates a large amount of plasma, which is rapidly jetted to the main gap under the action of high-pressure to achieve sub-millisecond conduction [8,9].…”

Section: Introductionmentioning

confidence: 99%

Numerical simulation and experimental verification of plasma jet development in gas gap switch

Dong

Guo

Zhang

et al. 2023

Plasma Sci. Technol.

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Plasma jet triggered gas gap switch has obvious advantages in fast control switch. The development of the plasma in the ambient medium is the key factor affecting the triggering conduction of the gas switch. However, the plasma jet process and its characteristic parameters are complicated and the existing test methods cannot fully characterize its development laws. In this work, a two-dimensional transient fluid calculation model of the plasma jet process of the gas gap switch is established based on the renormalization-group (RNG) k-ε turbulence equation. The results show that the characteristic parameters and morphological evolution of the plasma jet are basically consistent with the experimental results, which verifies the accuracy of the simulation model calculation. The plasma jet is a long strip with an initial velocity of 1.0 km/s and develops in both axial and radial directions. The jet velocity fluctuates significantly with axial height. As the plasma jet enters the main gap, the pressure inside the trigger cavity drops by 80%, resulting in a rapid drop in the jet velocity. When the plasma jet head interacts with the atmosphere, the two-phase fluid compresses each other, generating a forward-propelled pressure wave. The plasma jet heads flow at high velocity, a negative pressure zone is formed in the middle part of the jet, and the pressure peak decreases gradually with the height. As the value of the inlet pressure increases, the characteristic parameters of the plasma jet increase. The entrainment phenomenon is evident, which leads to an increase in the pressure imbalance of the atmospheric gas medium, leading to significant Coandǎ effect. Compared with air, the characteristic parameters of plasma jet in SF6 are lower, and the morphological evolution is significantly suppressed. The results of this study can provide some insight into the mechanism of action of the switch jet plasma development process.

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Transient fault identification method for bipolar short‐circuit fault on MMC‐HVDC overhead lines based on hybrid HVDC breaker

Cited by 10 publications

References 16 publications

Artificial Intelligence-based Control Techniques for HVDC Systems

Artificial Intelligence-based Control Techniques for HVDC Systems

A DC fault current fast-computing method of MMC-HVDC grid with short circuit protection equipment

Numerical simulation and experimental verification of plasma jet development in gas gap switch

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