Abstract of Thesis presented at COPPE/UFRJ as a partial fulfillment of the requirements for the degree of Doctor of Science (D.Sc.)

Applying Artificial Inteligence to Help Eletric Power System Restoration

Cassia Maria Souza Chaves

September/2008

Advisors:

Djalma Mosqueira Falcão Alexandre Pinto Alves da Silva

Department:

Eletrical Engineering

      This work describes a methodology to create a tool for fast evaluation of transmission lines energization viability that incorporate power flow and electromagnetic transients studies results. The classification of the energization is made by a trained neural network and rules are extracted by a decision tree to explain the classification. The hybrid system can be used to support the decision in real time or to validate paths of restoration system.