基于Krylov子空间的大规模配电网络模型整体化简方法  

Model Order Reduction of Large Scale Distribution Grid Based on Krylov Subspace Method

作　　者：李鹏[1] 于浩[1] 王成山[1] 丁承第[1] 宋关羽 高菲[2] 

机构地区：[1]智能电网教育部重点实验室(天津大学),天津市南开区300072 [2]中国电力科学研究院,北京市海淀区100192

出　　处：《电网技术》2013年第8期2343-2348,共6页Power System Technology

基　　金：国家自然科学基金项目(51207100;51261130473);国家重点基础研究发展计划项目(973项目)(2009CB219700);国家电网公司智能配用电的技术体系及仿真基础性问题研究项目~~

摘　　要：智能配电系统暂态仿真扩展了传统电力系统电磁暂态仿真的研究对象与范畴,但同时也限制了仿真计算的规模与速度。为此,以Krylov子空间线性系统化简理论为基础,实现了对具有线性系统特征的大规模配电网络模型的整体降维化简。仿真结果表明,根据仿真需要对研究重点以外的配电网络进行合理化简,可在满足精度要求的前提下有效降低智能配电系统暂态仿真模型规模,极大提升系统整体的仿真速度。The transient simulation of smart distribution grids extends the study category of traditional electromagnetic transient simulation,but at the same time limits the simulation speed and model scale.For this reason,a model order reduction（MOR） method is proposed based on Krylov subspace theory for large-scale linear distribution grids,which possess the features of linear system.Simulations are performed and lead to the conclusion that the model scale of smart distribution systems may be decreased effectively with appropriate MOR of the distribution grid,and then the simulation efficiency of overall smart distribution grids may be improved significantly.

关 键 词：配电网 KRYLOV子空间 模型化简 暂态仿真 

分 类 号：TM721[电气工程—电力系统及自动化]