基于多数据源的日前预报潮流自动生成方法  

Auto-generation Method of Day-ahead Forecast Power Flow Based on Multiple Data Sources

作　　者：谢昶[1] 刘文颖[1] 文晶[1] 王佳明[1] 时岩 

机构地区：[1]华北电力大学电气与电子工程学院,北京市102206 [2]兰州供电公司调度中心,甘肃省兰州市730050

出　　处：《电力系统自动化》2012年第21期87-92,共6页Automation of Electric Power Systems

基　　金：国家高技术研究发展计划(863计划)资助项目(SQ2010AA0523193001)~~

摘　　要：针对传统电网日前调度计划安全校核存在计算数据粗糙、结果误差较大等问题,提出了一种基于多数据源的日前预报潮流自动生成方法,以实现日前预报潮流的自动生成,从而提高日前调度计划安全校核工作的精细度和准确度。该方法首先从日前预报潮流计算模型出发,分析了日前电网正常运行方式的参数构成;然后通过多数据源的参数获取和参数拟合,自动生成用于日前预报潮流计算的各类参数,初步形成日前预报潮流计算模型;最后根据联合动态潮流算法对潮流计算模型进行调整,自动生成收敛的日前预报潮流。通过在兰州地区电网检修计划安全校核系统中的实际应用,验证了该方法的收敛性和有效性。In view of the problems such as rough calculation,large errors in the results of the traditional security check on power grid dispatching planning,an auto-generation method of the day-ahead forecast power flow based on multiple data sources is proposed,which can generate the day-ahead forecast power flow automatically and improve the precision and accuracy of security check on power grid dispatching planning.First,proceeding from the day-ahead forecast power flow calculation model,an analysis is made of the parameter constitution in the normal operation mode of day-head power grid.Then,by means of parameter acquisition and parameter fitting from multiple data sources,various parameters for use in the day-ahead forecast power flow calculation are automatically generated to preliminarily form the model for the day-ahead forecast power flow calculation.Finally,the model of power flow is adjusted according to the combined dynamic power flow algorithm to automatically generate the convergent day-head forecast power flow.Application of the dispatching planning security check system in Lanzhou power grid has verified the convergence and effectiveness of the proposed method.

关 键 词：日前预报潮流 自动生成 多数据源 日前调度计划 安全校核 

分 类 号：TM73[电气工程—电力系统及自动化]