【摘要】 机电暂态仿真工具BPA在我国得到了广泛应用,对同一网络通过PSCAD/EMTDC仿真时,通常根据BPA模型数据文件的网络拓扑结构及元件参数在PSCAD/EMTDC中手动重新建模,该方式费时、费力且容易出错。为此,基于图论的关联矩阵、深度优先搜索等理论,先根据BPA网络数据重新生成网络树,计算网络节点坐标,确定网络元件模型结构及参数,完成BPA的电网系统数据向PSCAD/EMTDC的模型转换,自动转换后的系统网络具有与原系统相同的网络拓扑结构及等效的元件参数,提高了在PSCAD/EMTDC中进行电网建模的效率及精度。更多还原

【Abstract】 Electromechanical transient simulation software BPA is widely applied by departments to work on power system planning,scheduling and operation.When simulation of a power system has to be performed by PSCAD/EMTDC software,usually it is necessary to rebuild the model of the power system on the platform of PSCAD/EMTDC manually based on the data file of topological structure and element parameters in the model of the same power system on the platform of BPA.This process is time consuming,laborious and easy to make mistakes.Based on incidence matrix and depth-first research in graph theory,firstly according to the data of the power system on BPA platform a network tree was regenerated on PSCAD/EMTDC platform;then the coordinates of network nodes were calculated to determine the structure and parameter of element models to complete the conversion of power system data in the model on BPA platform to the model on PSCAD/EMTDC platform.The automatically converted system network possesses the same topological structure as the original system network and equivalent parameters,thus both efficiency and accuracy of rebuilding power system model on PSCAD/EMTDC platform are improved..更多还原