Numerical Model of HTS Cable and Its Electric-Thermal Properties

Su, Rongyu; Li, Jingdong; Xu, Ying; Yan, Sinian; Wang, Wei; Hu, Ziheng; Zhang, Bin; Tang, Yuejin

doi:10.1109/tasc.2019.2901874

Cited by 21 publications

(20 citation statements)

References 10 publications

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“…where J C0 is the critical current density (A/m 2 ) at initial operating temperature T 0 = 70 (K) and the working magnetic field B (T ), T C is the critical temperature (K), a is the density exponent equal to 1.5 which is applicable to YBCO [28], I C0 is the self-field critical current per tape (A) at T 0 = 70, n tap is the number of HTS tapes and s HT S is the cross-sectional area of the superconductor. During the resistive state, when the temperature is above the critical value T C the current density of the HTS layer is reduced to 0.…”

Section: A Superconducting Cable Modelmentioning

confidence: 99%

Time-Domain Protection of Superconducting Cables Based on Artificial Intelligence Classifiers

et al. 2022

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Fault detection and protection of Superconducting Cables (SCs) is considered a challenging task due to the effects of the quenching phenomenon of High Temperature Superconducting (HTS) tapes and the prospective magnitude of fault currents in presence of highly-resistive faults and converter-interfaced generation. This paper presents a novel, time-domain method for discriminative detection of faults in a power system incorporating SCs and high penetration of renewable energy sources. The proposed algorithms utilises feature extraction tools based on Stationary Wavelet Transform (SWT), as well as artificial intelligence (AI) classifiers to discriminate between external and internal faults, and other network events. The performance of the proposed schemes has been validated in electromagnetic transient simulation environment using a verified model of SC. Simulation results revealed that the proposed algorithms can effectively and within short period of time discriminate internal faults occurring on SC, while remain stable to external faults and other disturbances. The suitability of the proposed algorithms for real-time implementation has been verified using software and hardware in the loop testing environment. To determine the best options for real-time deployment, two different artificial intelligence classifiers namely Artificial Neural Network (ANN) and Support Vector Machine (SVM) have been deployed. The extensive assessment of their performance revealed that the ANN classifier is advantageous in term of prediction speed.

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Section: A Superconducting Cable Modelmentioning

confidence: 99%

Time-Domain Protection of Superconducting Cables Based on Artificial Intelligence Classifiers

et al. 2022

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“…where 𝐽 𝐶,𝑖𝑛 is the initial critical current density (𝐴/𝑚 2 ) at initial temperature 𝑇 𝑜 = 70 𝐾 and at working magnetic field 𝐵, 𝑇 𝐶 is the critical temperature (𝐾) and 𝑎 denotes the density exponent which is conventionally set to 1.5 for the YBCO material [8]. Based on (1), during the quenching process, as the temperature 𝑇(𝑡) increases, the value of the critical current density 𝐽 𝐶 decreases accordingly.…”

Section: Sc Modellingmentioning

confidence: 99%

“…where 𝐸 𝐶 is the critical electric field equal to 1 𝜇𝑉/𝑐𝑚 and the coefficient N has been set to 30 according to [8]. During the superconducting state, the resistivity of the HTS tapes is 𝜌 𝑆𝐶 = 0 and the superconductor behaves as an ideal conductor.…”

Section: Sc Modellingmentioning

confidence: 99%

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Assesment of over-current protection for superconducting cables

Tsotsopoulou

Tzelepis

2022

IET Conf. Proc.

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The objectives of the studies presented in this paper aim to assess the sensitivity and the stability margins of conventional overcurrent protection schemes for the protection of Superconducting Cables with High Temperature Superconducting tapes. The ultimate goal is to identify the limitations and particularities of the conventional over-current relays to provide sensitive and reliable protection for the superconducting-based power grids. For this purpose, a verified model of Superconducting Cable developed in Matlab/Simulink and has been utilized to examine its transient performance and obtain profound insights of the quenching phenomenon. The case studies include different types of internal faults applied on the Superconducting Cable and external faults occurring on the adjacent feeders. The results and observations included in the paper, identified that due to the inherent dynamically changing resistance and the mutable operating stages of the SC, the reliability and the discriminative capability of the conventional over-current relays are compromised.

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“…Either finite element analysis (FEA) or finite-difference time-domain (FDTD) analysis of numerical models provides a valuable resource, as they remove multiple instances of creation and testing of hard prototypes for various high-fidelity situations. Various tools based on FEA and FDTD could be used for numerical models of HTS cables, such as MATLAB [15,16], ANSYS [17,18], COMSOL [19,20], etc. For time-dependent simulations such as fault analyses in the power system with HTS cables, the main limitation of numerical models based on FEM or FDTD is the computational burden.…”

Section: Introductionmentioning

confidence: 99%

A Simplified Model of Coaxial, Multilayer High-Temperature Superconducting Power Cables with Cu Formers for Transient Studies

Nguyen

Lee

et al. 2019

Energies

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Bypassing transient current through copper (Cu) stabilizer layers reduces heat generation and temperature rise of high-temperature superconducting (HTS) conductors, which could protect HTS cables from burning out during transient conditions. The Cu layer connected in parallel with HTS tape layers impacts current distribution among layers and variations of phase resistance in either steady-state or transient conditions. Modeling the multilayer HTS power cable is important for transient studies. However, existing models of HTS power cables have only proposed HTS cables without the use of a Cu-former layer. To overcome this problem, the authors proposed a multilayer HTS power cable model that used a Cu-former layer in each phase for transient study. It was observed that resistance of the HTS conductor increased significantly in the transient state due to a quenching phenomenon, which made the transient current mainly flow into the Cu-former layers. Since resistance of the Cu-former layer has a significant impact on the transient current, detailed modeling of the Cu-former layer is described in this study. The feasibility of the developed HTS cable model is evaluated in the PSCAD/EMTDC program.

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Numerical Model of HTS Cable and Its Electric-Thermal Properties

Cited by 21 publications

References 10 publications

Time-Domain Protection of Superconducting Cables Based on Artificial Intelligence Classifiers

Time-Domain Protection of Superconducting Cables Based on Artificial Intelligence Classifiers

Assesment of over-current protection for superconducting cables

A Simplified Model of Coaxial, Multilayer High-Temperature Superconducting Power Cables with Cu Formers for Transient Studies

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