Accurate Evaluation of Steady-State Sheath Voltage and Current in HVDC Cable Using Electromagnetic Transient Simulation

被引:7
|
作者
Asif, Mansoor [1 ]
Lee, Ho-Yun [1 ]
Park, Kyu-Hoon [1 ]
Lee, Bang-Wook [1 ]
机构
[1] Hanyang Univ, Dept Elect Engn, Hanyangdaehak Ro 55, Ansan 15588, South Korea
关键词
DC error; High Voltage DC (HVDC) cable; PSCAD; EMTDC; sheath grounding scheme; sheath loss calculation; sheath voltage calculation; universal line model (ULM); MODEL;
D O I
10.3390/en12214161
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The current and voltage in High Voltage DC (HVDC) line is not pure DC but contain superimposed ripple components. The current ripple in core of HVDC cable magnetically induces a voltage in the sheath, whereas the voltage ripple causes the flow of charging current from core to sheath. The knowledge of sheath voltage is necessary to ensure compliance with the specification of utility companies. In this work, we have reported that the models available in commercial Electromagnetic Transient (EMT) simulation software erroneously introduce a DC bias in steady-state sheath voltage and sheath current. We have also demonstrated that by removing the DC bias accurate steady-state evaluation of sheath voltage and sheath current is possible. Additionally, we have analyzed the sheath voltage and currents in HVDC cable considering different cable lengths and sheath grounding schemes. It has been found that grounding the sheath at the terminal of HVDC cable can limit the sheath voltage to acceptable levels without causing substantial joule loss in the sheath.
引用
收藏
页数:17
相关论文
共 13 条
  • [1] Thermal Network Calibration Using Short-Transient and Steady-State Thermal Tests
    Armando, Eric
    Boglietti, Aldo
    Carpaneto, Enrico
    Nair, Devi Geetha
    2019 IEEE INTERNATIONAL ELECTRIC MACHINES & DRIVES CONFERENCE (IEMDC), 2019, : 2021 - 2026
  • [2] SEIG-based transient- and steady-state analysis using dragon fly approach
    Singh, Gurdiyal
    Singh, V. R.
    SOFT COMPUTING, 2023, 27 (06) : 2993 - 3005
  • [3] On the development of steady-state and dynamic mass-constrained neural networks using noisy transient data
    Mukherjee, Angan
    Bhattacharyya, Debangsu
    COMPUTERS & CHEMICAL ENGINEERING, 2024, 187
  • [4] Particulate pollutant source evaluation using an inverse method under steady-state conditions
    Chata, F.
    Belut, E.
    Keller, F-X.
    Taniere, A.
    JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL HYGIENE, 2016, 13 (03) : 223 - 233
  • [5] Self-Consistent Steady-State Simulation of Microwave Photonic Systems Using Harmonic Balance
    Amini, Amir Ardavan
    Gunupudi, Pavan
    IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY, 2014, 4 (03): : 472 - 479
  • [6] Automatic Parameter Setting Method for an Accurate Kalman Filter Tracker Using an Analytical Steady-State Performance Index
    Saho, Kenshi
    Masugi, Masao
    IEEE ACCESS, 2015, 3 : 1919 - 1930
  • [7] Prediction of Transient and Steady-State Flexural Fatigue Crack Propagation in Concrete Using a Cyclic R-Curve
    Brake, Nicholas Andres
    Chatti, Karim
    JOURNAL OF ENGINEERING MECHANICS, 2012, 138 (04) : 371 - 378
  • [8] Steady state and transient simulation for electricity-gas integrated energy systems by using convex optimisation
    Chen, Sheng
    Wei, Zhinong
    Sun, Guoqiang
    Wang, Dan
    Zang, Haixiang
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2018, 12 (09) : 2199 - 2206
  • [9] Isothermal and non-isothermal multiphase flow steady-state simulation of offshore production systems using ALFAsim
    Prado Rojas, Juan Eliseo
    Goedert, Franciani
    Barbosa Neto, Antonio Marinho
    Canhoto Alves, Marcus Vinicius
    INTERNATIONAL JOURNAL OF OIL GAS AND COAL TECHNOLOGY, 2022, 30 (04) : 335 - 358
  • [10] Numerical analysis of a steady-state and transient performance using a tube-in-tube heat exchanger unit for cryogenic process simulator
    Shukla, Vinit
    Alam, Aafaq
    Shah, Nitin
    Vaghela, Hitensinh
    Ghosh, Parthasarathi
    CRYOGENICS, 2024, 138