基于快速解耦的电力系统连续潮流并行计算方法  

Fast Decoupling Based Parallel Computing Method for Continuation Power Flow in Power System

作　　者：孟庆东 张嵩[1] 李本新[1] 李雪[1] 李国庆[1] MENG Qingdong;ZHANG Song;LI Benxin;LI Xue;LI Guoqing(Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology,Ministry of Education(Northeast Electric Power University),Jilin 132012,China)

机构地区：[1]现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学),吉林132012

出　　处：《电力系统及其自动化学报》2021年第7期41-48,共8页Proceedings of the CSU-EPSA

基　　金：国家自然科学基金资助项目(52077029,U2066208,52061635103)。

摘　　要：为提高大型区域互联系统连续潮流的计算效率,提出一种改进的基于快速解耦电力系统连续潮流并行计算方法。通过在校正阶段采用快速解耦法求解潮流方程,根据系统的阻抗参数和功率增长方向构造修正方程组的系数矩阵,对潮流方程修正方程组进行预处理,并采用基于CPU-GPU混合架构加速的稳定双共轭梯度法进行求解。基于IEEE-118节点系统、Case13802等多个不同规模测试系统的算例分析表明,该改进算法有效提高了连续潮流的计算速度。To improve the calculation efficiency of continuation power flow in large-scale regional interconnected systems,an improved parallel computing method for the continuation power flow in power systems based on fast decoupling method is proposed.At the correction stage,the fast decoupling method is used to solve the power flow equations,and the coefficient matrix of correction equations is constructed according to the impedance parameters of the system as well as the direction of power growth.The modified equations are preprocessed and further solved using the bi-conjugate gradient stabilized method based on the CPU-GPU hybrid architecture speedup.The analysis of numerical examples of different scales such as IEEE 118-bus system and Case13802 show that the improved algorithm effectively improves the calculation speed of the continuation power flow.

关 键 词：连续潮流 快速解耦法 CPU-GPU混合架构 预处理 稳定双共轭梯度法 

分 类 号：TM712[电气工程—电力系统及自动化]