摘要
在利用电压稳定局部指标 LI 对参数空间降维的基础上 ,通过前馈神经网络描述相应电力系统结构的电压稳定可行域边界 (鞍—节分岔界面 ) ,基于这一神经网络可以在线快速地在 2维或 3维空间上绘出相关的可视化图形。对于系统结构改变的情形 ,用同一神经网络描述的近似稳定边界通常仍具有满意的精度。在天津 (华北 ) 1 65 9母线系统上得出了令人满意的可行域直观描述 ,有望达到在线监控的实时性要求。
In a reduced dimension injection parameter space, this paper presents an approach for on-line voltage stability feasible region visualization by using ANN. To reduce the dimension of the voltage stability feasible region an improved voltage stability index LI is employed. It is possible to get this region for different system configurations by using one ANN and setting different output values for this ANN. Due to its advantage on speed, it is possible to use this method in real time security monitoring and control. A real bulk power system example is also given to validate this method.
出处
《电力系统自动化》
EI
CSCD
北大核心
2001年第22期1-5,共5页
Automation of Electric Power Systems
基金
国家重点基础研究专项经费资助项目 (G19980 2 0 30 7)
关键词
电压稳定
可行域
可视化
降维
人工神经网络
电力大系统
电网
Electric potential
Neural networks
Online systems
Real time systems
Security systems
Systems engineering
Visualization
