基于混杂系统的电力设备状态感知与趋势分析  

State-Aware and Trend Analysis of Power Equipment Based on Hybrid Systems

作　　者：李园芳[1,2] 佘维[1,2] 叶阳东[1,2] 孙振[1,2] 李江林 时谊 

机构地区：[1]郑州大学信息工程学院,郑州450000 [2]北京交通大学轨道交通控制与安全国家重点实验室,北京100044 [3]许继电气股份有限公司,河南许昌461000

出　　处：《计算机测量与控制》2013年第12期3352-3355,共4页Computer Measurement &Control

基　　金：国家863计划资助项目(2011AA110501);国家自然科学基金(61170223);国家重点实验室开放课题基金(RCS2009K003);河南省重点科技攻关计划项目(122102210004);湖南省科技攻关计划项目(2012FJ3092)资助

摘　　要：混杂系统是一类同时含有连续变量和离散事件的系统,由于连续变量随时间而变化,其状态演化具有缓变性和模糊性,加之离散事件的触发更增加了系统的复杂性,使得对其进行状态预测和趋势分析变得十分困难;针对混杂系统的状态难于预测和分析问题,提出一种基于混杂系统的电力设备状态感知与趋势分析方法,以一种非确定性混合Petri网进行系统建模,通过标识系统状态随时间而变化的元素值推演系统的近期状态,并由此进行趋势分析;仿真试验以电力系统中的变压器故障诊断为背景,对其状态检测和趋势分析过程进行仿真,验证了方法的有效性;该模型为混杂系统的状态感知、预测、评估和实时控制提供了有效方法。The hybrid system is a kind of systems which contain both continuous variable and discrete event dynamic. The failure charac- terization of state evolution is slowly changeable and fuzzy. Discrete event of hybrid system increases the difficulty for state forecast and trend analysis. Therefor, such failures is more difficult to detect and pre--decide when they occur. And in view of these problems, this paper pro- poses a state aware and trend analysis of power equipment based on hybrid systems. This method firstly constructs the non deterministic hybrid Petri nets based on hybrid system, then obtains element values of identification system which change with time, thus analyse system trend and deduce the near state of system. So, fault diagnosis of transformers in the power system as the background, a hybrid Petri net model is built which simulate state detection and process of trend analysis. The results verify the validity of the method. The model provides an effective method to perceive the current status and predict, assess and real time control future state.

关 键 词：混杂系统 电力设备 混合PETRI网 状态感知 行为预测 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]