Study on Ion Flow Field of ±1 100 kV UHVDC Transmission Lines under Strong Wind Conditions Based on MRT-LBM
Zhu Ting1,2, Wang Rongbin1,2, Wang Haidong1,2
1. School of Electrical Engineering and Automation Xiamen University of Technology Xiamen 361021 China; 2. Xiamen Key Laboratory of Frontier Electric Power Equipment and Intelligent Control Xiamen 361021 China
Abstract：To maximize economic efficiency, corona discharge is permitted during the operation of ultra-high-voltage direct current (UHVDC) transmission systems. However, the resulting ion flow field may pose potential health risks to residents living beneath the transmission lines. Therefore, regulatory standards require that the electric field strength and ion current density near the ground be limited to 30 kV/m and 100 nA/m², respectively. Accurate computation of the ion flow field of transmission lines thus holds significant practical importance. With the continuous increase in transmission voltage levels and the growing frequency of strong wind events under extreme weather conditions, the electromagnetic environment beneath transmission lines has become increasingly complex and severe. Under such circumstances, solving the current continuity equation for the ion flow field in HVDC transmission systems presents growing challenges in terms of numerical convergence, especially under high voltage and strong wind speed conditions. To address these issues, this paper introduced the multiple relaxation time lattice Boltzmann method (MRT-LBM) combined with compute unified device architecture (CUDA)-based parallel computing technology to construct a numerical simulation model of the ion flow field under strong wind conditions. Compared with the traditional single relaxation time (SRT) model, the MRT-LBM demonstrated significantly improved numerical stability, making it more suitable for solving the current continuity equation under complex scenarios involving high voltage and strong wind speeds. The proposed method was first validated using a coaxial cylindrical model to verify its accuracy and reliability. The computed results were compared with analytical solutions and experimental data, showing good agreement. Furthermore, to demonstrate the acceleration performance of CUDA parallel computing, a verification was conducted using the coaxial electric field model. The results show that the CUDA-based approach improves computational efficiency by approximately 41% compared with traditional CPU-based computation. Based on this, the model was applied to simulate a ±1 100 kV transmission line. Under blue wind warning conditions, the evolution of space charge and the variations in ground-level electric field and ion current density were investigated. The simulation results showed that under continuous wind action, the electric field on the windward side initially increased and then decreased, while positive and negative charges on the leeward side gradually accumulated to form a new steady-state distribution. As the wind duration increased, the leeward electric-field peak first decreased and then rose continuously; the peak profile broadened and shifted outward, forming a wider high-field region until the system reached a new equilibrium state. Furthermore, this study analyzed the distribution characteristics of electric field strength and ion current density near the ground under four wind warning levels issued by the China Meteorological Administration, clarifying the migration patterns of unsafe zones under different wind speeds. The results indicate that the electric field and ion current density on the windward side decrease monotonically with increasing wind speed, whereas those on the leeward side first increase and then decrease due to the combined effects of wind-induced displacement, charge recombination, and charge injection. The corresponding high-field region expands significantly and shifts toward the leeward side. The findings of this study can serve as theoretical and numerical references for the optimized design and safe operation of UHVDC transmission lines under extreme weather conditions.
朱婷, 王榕斌, 王海东. 强风条件下基于MRT-LBM的±1 100 kV特高压直流输电线路离子流场研究[J]. 电工技术学报, 2026, 41(9): 2926-2936.
Zhu Ting, Wang Rongbin, Wang Haidong. Study on Ion Flow Field of ±1 100 kV UHVDC Transmission Lines under Strong Wind Conditions Based on MRT-LBM. Transactions of China Electrotechnical Society, 2026, 41(9): 2926-2936.
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