一种异常电能量数据智能监测和处理方法  

An intelligent monitoring and processing method for the abnormal electric energy data

作　　者：畅广辉[1] 刘涤尘[1] 熊浩[1] 杨东海 

机构地区：[1]武汉大学电气工程学院 [2]许继电气股份有限公司,河南许昌461000

出　　处：《继电器》2007年第20期55-59,共5页Relay

摘　　要：针对电能量计费系统(TMR)运行过程中出现的电能量数据异常情况,提出了一种基于多代理技术的异常数据处理方法。通过对能量管理系统(EMS)相应遥测点有功功率的积分,得到异常数据相关的样本,利用曲线拟合得到相应的逼近函数式并计算出异常数据对应的EMS系统能量积分估计值,最后,利用EMS系统能量积分估计值计算出TMR系统异常数据的近似值。实验证明,该方法很好地实现了TMR系统异常数据的自动处理,其结果能够满足厂网之间电量结算的需要。Aiming at abnormal data circumstance in the process of TMR Operation, a method, which is capable of solving abnormal data based on multi-agent technology, is proposed in this paper. Firstly, by making the integrals of active power of the telemetric point in EMS, samples relevant to abnormal data could be gathered. Secondly, integral estimation corresponding to the abnormal data is about to be computed in EMS by using function approximation gained from samples based on curve fitting. Thirdly, approximate value of the abnormal data in TMR is determined by using the integral estimation from EMS, Some tests show that this method can realize the automatic processing of the abnormal data in TMR perfectly, and the output data could match the demand of electricity settlement between the power plants and power grid.

关 键 词：电能量计费系统 能量管理系统 异常数据 多代理 曲线拟合 

分 类 号：TM764[电气工程—电力系统及自动化]