Performance comparison of neural networks for intelligent management of distributed generators in a distribution system
A comparison of intelligent optimal control of several DG units is proposed. Four types of ANN activation functions are implemented in the proposed method. By using the optimal data for DG reference active and reactive power, total losses of the system is reduced. ANN is able to predict the optimal DG active and reactive powers with minimal errors. MLP with sigmoid activation function show the best result in predicting optimal references of DG.
activation function artificial neural network multilayer perceptron radial basis function