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文章摘要
基于多级高阶微分求积法的非线性电磁暂态快速仿真研究
Rapid simulation research of nonlinear electromagnetic transient based on multilevel high-order differential quadrature method
Received:September 03, 2020  Revised:September 21, 2020
DOI:10.19753/j.issn1001-1390.2023.02.009
中文关键词: 电磁暂态  微分求积法  分块处理  加速比
英文关键词: electromagnetic transient, differential quadrature , block processing, acceleration ratio
基金项目:湖北省自然科学基金
Author NameAffiliationE-mail
Zhang Jing College of Electrical Engineering and New Energy,China Three Gorges University 1548686054@qq.com 
Ye Jing* College of Electrical Engineering and New Energy,China Three Gorges University yejing2000310@163.com 
Yin Ming State Grid Hubei Electric Power Co., LTD. Suizhou power Supply Company 1253585533@qq.com 
Li BoWen College of Electrical Engineering DdDd New Energy,China Three Gorges University liboring@163.com 
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中文摘要:
      为了提高电力系统电磁暂态数值计算速度,将s级微分求积法应用在电磁暂态仿真中,提出了一种新的电磁暂态快速计算方法。所提算法结合V变换特点对因引入内点而增维的矩阵进行分块处理,避免对增维矩阵直接求逆,并利用子矩阵为下三角结构的优势,将大规模矩阵的求逆计算转换为简单的前代运算以及小规模矩阵的求逆计算,从而提高了基于微分求积法的电磁暂态计算效率。算例表明,针对线性时变和非线性电力系统,该算法均可以获得有效加速比。
英文摘要:
      In order to improve the numerical calculation speed of the electromagnetic transient of power system, the s-order differential quadrature method is applied to the simulation of the electromagnetic transient, and a novel fast calculation method of the electromagnetic transient is proposed in this paper. Combined with the characteristics of V transformation, the proposed algorithm blocks the matrix with increased dimension due to the introduction of internal points, so as to avoid the direct inverse of the increased dimension matrix. With the advantage of submatrix as lower triangular structure, the inverse calculation of large-scale matrix is transformed into simple pre-generation operation and the inverse calculation of small-scale matrix, thus improving the efficiency of electromagnetic transient calculation based on differential quadrature method. Numerical examples show that the proposed algorithm can obtain the effective acceleration ratio for both linear time-varying and nonlinear power systems.
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