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A Fast Calculation Method of Electric Field Distribution for HVDC GIL Based on Equivalent Gas Conductivity
编号：615 访问权限：仅限参会人 更新：2022-08-29 16:24:38 浏览：96次 张贴报告

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摘要
 With the development of power system, the capacity of power grids has increasing quickly. Technologies for gas-insulated metal-enclosed transmission line (GIL) under high voltage direct current (HVDC) voltage have also begun the research field concerned by scholars. The migration and diffusion equation of weakly ionized gas is deemed to be an accurately calculating method for the electric field of HVDC GIL at present, by considering the charge accumulation. However, the large amount of calculation and the poor convergence will take up a lot of time, which make this method not suitable for the structure optimization with intelligent optimization algorithm. On the other hand, because the gas conductivity of SF6 can’t be measured exactly, constant current field calculation may cause large error. Therefore, in this paper, an equivalent gas conductivity method was proposed. The finite element model of basin insulation for HVDC GIL was built and the electric filed was calculated by the method of weakly ionized gas, which considered the law between conductivity and temperature of epoxy composite. In constant current field, a series of electric filed calculated by changing gas conductivity. To judge if the results of different methods have the same effect, electric potential curves of basin insulator surface in different methods would be compared. The result shows that the closest one to the electric filed distribution calculated by the method of weakly ionized gas can be selected to set the gas conductivity.  In this case the field distribution of two methods was basically the same. The method of equivalent gas conductivity has achieved the function of fast calculation, and provided valuable references and calculation time reduced for the design of HVDC GIL.
 
关键词
HVDC GIL,Equivalent Gas Conductivity,Genetic algorithm particle swarm optimization (GAPSO),Electric Field distribution
报告人
Yutong Zhang
State Key Laboratory of Electrical Insulation and Power Equipment; Xi’an Jiaotong University

稿件作者
Yutong Zhang State Key Laboratory of Electrical Insulation and Power Equipment; Xi’an Jiaotong University
Zehua Wu State Key Laboratory of Electrical Insulation and Power Equipment; Xi’an Jiaotong University
Boyuan Cui China Electric Power Research Institute
Shengwu Tan Pinggao Group Co., Ltd.
LI Lina Pinggao Group Co., Ltd.
Peng Liu State Key Laboratory of Electrical Insulation and Power Equipment Xi’an Jiaotong University
Zongren Peng State Key Laboratory of Electrical Insulation and Power Equipment； Xi’an Jiaotong University
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重要日期

  • 会议日期

    09月25日

    2022

    至

    09月29日

    2022

  • 08月15日 2022

    提前注册日期

  • 09月10日 2022

    报告提交截止日期

  • 11月10日 2022

    注册截止日期

  • 11月30日 2022

    初稿截稿日期

  • 11月30日 2022

    终稿截稿日期

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