多目标模糊优化潮流模型及其基于神经网络的算法

The Multi-objective Fuzzy Optimal Power Flow Model and its Neural Network Algorithm

提出了一种计算交流潮流的多目标模糊优化模型。模型中，同时考虑了发电费用最少及网损最小等多重目标。针对该模型，还提出了一种基于神经网络模型的新算法。该算法分别采用神经网络模型进行模糊集隶属函数的表达及优化问题的求解，从而将模糊优化同神经网络有机地结合起来。通过算例对所提模型及算法进行了验证。

This paper has presented a multi-objective fuzzy optimal power flow medel.Inthe model , the multiple objectives, such as the minimum generation cost and the minimum powerloss, have been considered simultaneously, A new algorithm based on neural network models is aisopresented,in which the neural networks are employed to express, the membership function of fuzzysets and solve the optimization problems. The validity of model and algorithm is verified with numerical examples.