基于CIM的电网冰灾异常故障特征节点检测算法  

Algorithm of Power Grid Ice Disaster Abnormal Node Detection Based on CIM

作　　者：朱椤方[1] 肖倩宏 陈恩黔[1] 王平[1] 

机构地区：[1]贵州电网公司电力调度控制中心,贵阳550001

出　　处：《科技通报》2015年第6期226-228,共3页Bulletin of Science and Technology

摘　　要：随着我国国民经济的飞速发展,电力工业起到了举足轻重的地位,许多地区的输电线路由于冰灾覆冰严重影响了输电线路的可靠性,易造成设备的损坏甚至是危及生命安全。为此,提出基于CIM的电网冰灾异常故障特征节点检测算法,通过对冰雪环境下产生的电网故障,建立CIM微电网系统的异常故障模块进行故障分析,经由微电网环境下电网异常故障分析数据模块将异常数据进行故障特征节点检测并计算的过程。仿真实验表明,基于CIM的电网冰灾异常故障特征节点检测算法,能够有效的提高冰灾异常故障检测的准确性、抗干扰能力强并且在长时间检测过程中,分析速度快,预防能力性强。有效地为电网安全高效运行提供更好的保障。Along with the rapid development of the national economy, electric power industry plays an important role, and in many parts of the transmission lines due to the ice disaster seriously affect the reliability of the transmission line, easy to cause damage and even endanger the life safety of the equipment. For this, based on CIM power grid ice disasters abnormal node detection algorithm, the fault features of ice under the environment of power grid failure, abnormal failure module to establish CIM micro grid system fault analysis, by micro grid environment grid abnormal failure analysis data module fault characteristics of the abnormal data node detection and calculation process. Simulation experiments show that power grid ice disasters based on CIM abnormal fault feature node detection algorithm, can effectively improve the accuracy of the ice disaster abnormal fault detection, strong anti-jamming capability, and in the process of testing for a long time, fast analysis speed, prevention ability. Effectively provide better protection for power grid safe and efficient operation.

关 键 词：电网冰灾 异常故障 节点检测 

分 类 号：TH128[机械工程—机械设计及理论]