Applications of Neural Networks and Decision Trees to Energy Management System Functions

摘要

Artificial neural network (ANN) and decision tree (DT) applications are proposed to contribute to control room energy management system (EMS) functions respectively aimed to assess critical conditions leading to inter-area oscillations, to evaluate the loading margin, and to support state estimation. To facilitate the design, the setting of the parameters, the training of ANNs and the growing of DTs, a tool has been developed within Matlab environment, that allows the user to design and train in an effective way ANNs and DTs with no need to write any procedure or line of code. The tool has been applied in the analysis of the above problems providing a valid support in training and testing both ANNs and DTs.