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

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

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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.

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