摘要
提出以电力系统电压静态稳定裕度最大作安全指标，有功网报最小作经济指标的多目标优化模型，采用神经网络作优化计算，使系统运行的安全和经济性均得到提高。通过对２２节点等多个实际系统的数值测试，结果表明，该方法具有调节控制灵活、收敛性好等优点。
The paper presents a multi-object optimal model which takes the maximum margin of static stability as security index. the minimum active power loss of network as economical index together with the algorithm of artificial neural networks for optimization. The method is proved to be effect by the numerical tests of practical systems. It has advantages of flexible adjustment and good convergency.
出处
《电力系统自动化》
EI
CSCD
北大核心
1996年第1期27-31,共5页
Automation of Electric Power Systems
关键词
电压稳定
神经网络
电力系统
计算
voltage stability strangeness value multi-object artificial neural network power network loss
