基于思维进化BP网络的电力系统暂态稳定事故筛选  

BP Neural Network Based On MEC Applying in Contingency Screen Of Power System

作　　者：张建军[1] 李秀广[2] 武娟[1] 

机构地区：[1]山西电力职业技术学院,太原030021 [2]太原理工大学,太原030024

出　　处：《电气技术》2010年第5期41-44,共4页Electrical Engineering

摘　　要：电力系统事故扫描是针对电网中一组预想事故,挑选出其中较为严重的事故,将大部分不严重事故滤除掉,减少待分析的预想事故数目,以满足动态安全分析的实时性的需要。本文提出了基于思维进化神经网络的事故筛选方法,然后在10机39节点的算例中对该方法的有效性进行了验证。The contingency screen is one of the important module of online dynamic security assessmentThe function of contingency screen is to pick up the serious contingencies of which predefined and it can greatly reduced the quantity of the contingencies to be analysis.In this paper a method of contingency screen which is Neural Network optimized based on MEC is put forward,and the effection of this method is proved with 10-generator 39-bus system.

关 键 词：电力系统 暂态稳定 事故筛选 思维进化 神经网络 

分 类 号：TM712[电气工程—电力系统及自动化]