Predictive calculation of ion current environment of dc transmission line based on ionised flow model of embedded short‐term wind speed.

The predictive calculation and wind effect on the ion flow environment of dc transmission line are evaluated by embedded short‐term wind speed based ionised flow model. The wind has a major impact on the electric field and ion current density profiles. In the ionised flow model of embedded short‐term wind speed, the short‐term wind speed is calculated by using time series model and Kalman filter algorithm. The ionised field considering short‐term wind speed is solved by finite‐element method with acceleration technique and time‐domain finite volume method. The algorithm is validated by the coaxial cylinder electrode configuration and practical bipolar dc transmission configuration. Computational results are made to provide a physical understanding of wind effect on the corona formation process. In the timescale of long‐term prediction, the time evolution behaviour of ground‐level ion current density and electric field with time‐varying wind speed is estimated. [ABSTRACT FROM AUTHOR]