[1]王克文,冶梦雨,刘艳红.建立电力系统状态空间方程的并行方法[J].郑州大学学报(工学版),2021,42(01):15-20.[doi:10.13705/j.issn.1671-6833.2021.01.003]
　WANG Kewen,YE Mengyu,LIU Yanhong.Parallel Method for Establishing State Space Equation of Power System[J].Journal of Zhengzhou University (Engineering Science),2021,42(01):15-20.[doi:10.13705/j.issn.1671-6833.2021.01.003]
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建立电力系统状态空间方程的并行方法()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
42
期数:
2021年01期
页码:
15-20
栏目:
出版日期:
2021-03-14

文章信息/Info

Title:
Parallel Method for Establishing State Space Equation of Power System
作者:
王克文; 冶梦雨; 刘艳红
郑州大学 电气工程学院，河南 郑州 450001
Author(s):
WANG Kewen;  YE Mengyu;  LIU Yanhong
School of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, China
关键词:
状态矩阵;  双共轭梯度稳定法;  不完全LU分解;  行压缩存储;  Open MP
Keywords:
state matrix;  BICGSTAB;  incomplete LU;  compressed row storage;  Open MP
分类号:
TM712
DOI:
10.13705/j.issn.1671-6833.2021.01.003
文献标志码:
A
摘要:
为了缩减大规模电力系统小干扰稳定性分析的计算时间，对状态空间矩阵的快速形成方法进行研究。针对插入式建模技术，分析状态矩阵的形成过程；采用含双重阈值的不完全LU分解法（ILUTP），调整相关矩阵中非零元素的位置，将矩阵转换为对角占优形式；运用双共轭梯度稳定法（BICGSTAB），对处理后的大型稀疏矩阵迭代求解；矩阵的存储方式为行压缩稀疏存储；利用ILUTP与BICGSTAB的算法特性，实现了基于Open MP技术的并行计算；通过两个实际算例验证了所提方法的可行性及有效性。结果表明，该方法能够加快大型电力系统状态空间的形成过程。
Abstract:
In order to reduce the calculation time of small-disturbance stability analysis of large-scale power systems, the method of rapid formation of power system state space matrix was optimized. According to the plug-in modeling technology, the formation process of the state matrix was analyzed; the incomplete LU decomposition method (ILUTP) with double thresholds was used to adjust the position of the non-zero elements in the correlation matrix, and the matrix was converted to a diagonally dominant form; double conjugate gradient stabilization method (BICGSTAB) was used iteratively to solve the processed large sparse matrix; the storage method of the matrix was row-compressed sparse storage; the algorithm characteristics of ILUTP and BICGSTAB were used to realize the parallel computing based on Open MP technology; two calculation examples of 23 generators and 98 generators were included respectively. The generators adopted the sixth-order generator model. The excitation adjustment module and the prime mover speed control block were the actual parameters of the system, and the traditional methods and optimization methods were compared. The time taken to solve the state matrix method verified the feasibility and effectiveness of the proposed method. The results showed that this method could speed up the formation of the state space of large power systems, and its parallel speedup ratio was close to 3.

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更新日期/Last Update: 2021-03-15