作　　者： ;

机构地区： 顺德职业技术学院

出　　处： 《计算机测量与控制》 2013年第4期849-852,共4页

摘　　要： 传统的电网安全系统是将故障信息进行单一分析,网络运维主要是依靠人力完成,系统的智能分析能力较低,危险判断不准确,工作效率低;提出一种基于群体智能搜索的电网危险入侵监测系统,将系统设计层次化,集合危险入侵数据与二次设备数据于数据模块,通过通信串口传输到主站分析系统,使用微粒群智能搜索软件设计方法对危险入侵模型求解;实验仿真结果证明,该系统的危险入侵判断准确率高,速率较快对实际的电网维护有很强实用价值。 The traditional network security system is the fault information single analysis, network operation and maintenance is mainly rely on human complete, the intelligent analysis capacity is low, dangerous judgment not accurate, the working efficiency is low. This paper proposed power grid dangerous invasion monitoring system based on group intelligent search, the design of system hierarchical, set dangerous invasion data and secondary equipment data in the data platform, through the communication serial transmission to host analysis system, u-sing particle swarm intelligent search for dangerous invasion of solving the model. The experiment results show that this system of dangerous invasion judgment rate, rapid rate of actual power network maintenance has the very strong practical value.

关 键 词： 电力网络 危险入侵 微粒群搜索 系统层次化

领　　域： [经济管理]