直流电源系统网络化状态检修模式的研究  

Research on CMB model of DC source system based network

作　　者：郝晓光[1] 李秉宇[1] 陈晓东[1] 刘婷[1] 

机构地区：[1]河北省电力研究院,河北石家庄050021

出　　处：《电源技术》2011年第9期1142-1145,共4页Chinese Journal of Power Sources

摘　　要：针对电力系统直流电源运行现状和定期检修模式的弊端,提出了一种基于在线监测诊断技术的直流电源系统状态检修模式。介绍了直流电源系统网络化状态监测管理平台的系统框架和上位机软件架构,利用基于状态空间预测理论的卡尔曼滤波器对蓄电池剩余容量及状态进行诊断及预测。建立了基于蓄电池内阻和极化效应修正的电池模型,以蓄电池容量和电压为参数建立状态方程和观测方程,在均方差最小的原则下实现容量的准确估算,并绘制了卡尔曼滤波器估算法的软件流程图。指出实现直流电源系统的状态检修是智能变电站的发展趋势。The running and TBM model for DC system equipment in state grid was analyzed, and CBM model based monitoring and diagnosing for DC source system was put forward. The system frame and software structure of condition monitoring system for DC system was introduced, using state-spacing theory to diagnose and forecast the battery. The battery model based inner resistance and polarized-effect was set up, and the battery capacity and voltage was taken to build the state-equation and observation-equation, the precise estimation in the principle of minimum mean square deviation was realized, and the software flowchart of Kalman Filter estimating was drawn. The realization of CMB of DC power system is the development trending of Smart Grid.

关 键 词：定期检修 状态检修 状态空间 卡尔曼滤波器 剩余容量 

分 类 号：TM911[电气工程—电力电子与电力传动]