Abstract
Large currents are injected into the earth from grounding poles of HVDC systems under monopole ground return mode. The currents change the earth surface potential and result in DC currents in AC systems. This paper proposes a computationally efficient decoupled circuital calculation method for assessing the unwanted DC currents in AC grids. Firstly, the earth resistive network is acquired by simulating the DC grounding current distribution using Finite Element Method (FEM). Secondly, the earth resistive network and AC grid are combined to develop a decoupled circuital model of the overall system. The acquired model is used to calculate the DC currents in AC grids by solving a set of linear equations. The proposed method is computationally more efficient as compared to field-circuit coupled methods. In addition, its accuracy is proved by showing a close agreement between our results and field-circuit coupled model as well as the actual measurements. Finally, in Shanghai area power grid the DC currents are calculated using the proposed technique. Based on these calculations, remedial measures for reducing the DC currents in AC grid are suggested. Our research results indicate that DC currents in AC systems can be reduced by operating the two HVDC projects with opposite polarities.
Highlights
HVDC system operating with monopole ground return mode injects large currents into the earth causing variations in the earth surface potential, which results in DC currents in the nearby AC power grids [1,2,3,4,5,6,7]
This work proposed and validated a novel circuital model methodology for DC currents calculation in AC grids which result due to HVDC system operating with monopole ground return mode
The earth resistive network is obtained based on Finite Element Method (FEM) simulations of the ground
Summary
A decoupled circuital model methodology for calculating DC currents in AC grids induced by HVDC grounding current a1111111111 a1111111111 a1111111111 a1111111111 a1111111111. Lingyu ZhuID1*, Chenzhao Fu2, Hao Liu, Dandan Zhao, Lei Su2, Habibur Rehman, Shengchang Ji1
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