摘要
本文提出了一种交互神经网络（Ｈｏｐｆｉｅｌｄ连续ＡＮＮ模型）求解大型电力系统多目标优化运行的方法。模型中考虑了经济、环境保护和安全三个指标，并引入了调节乘子。采用ＡＮＮ求解，不仅有利于大型系统的计算，而且通过对调节乘子的交互，使这种求解方法更为有效，增加了决策的灵活性，提高了方法的实用价值。经ＩＥＥＥ６机系统算例计算表明，该法是有效的。
This paper presents a method of solvinglarge-scale power system multi-objective optimal oper-ation with interactive neural network(Hopfield contin-uous ANN model).In this method,the three indexes-economy ,environmental protection and security areconsidered.The adjusting multiplier is also intro-duced.The solution of large-scale power system mul-ti-optimal operation by ANN is not only beneficial tothe calculation of large-scale systems, but also moreefficient by interacting the adjusting multiplier.Thisimproves the flexibility of decisions and enhances thepractical value of the method.The numerical resultsof IEEE 6 machine system show that the method is ef-fective.
出处
《电网技术》
EI
CSCD
北大核心
1995年第4期17-19,24,共4页
Power System Technology
关键词
神经网络
多目标优化
电网
Interactive Artificial neural network- Multi-objective optimization
