State Estimation of Power Electric System with Fuzzy and Paraconsistent Annotated Logics

Abstract

In this work we presented a way of State Estimation in Electric Power Systems through applications of algorithms based on the Fuzzy logic and the Paraconsistent Annotated Logic. A Fuzzy State Estimator (FSE) it uses the fuzzy logic foundations to insert an ideal treatment to the inherent uncertainties of the process of state estimation. For a better use of the applications of the estimation fuzzy process the FSE needs inputs signals free from noises and contradictions. To give a better treatment to the input signals and also to validate the output resulting values of the FSE it is applied the techniques of the Paraconsistent Annotated Logic. The Paraconsistent Logic belongs to the family of non-classic logics and its main characteristic is the admission of the contradiction in their foundation. The blocks of treatment of the input signals and of the output signals of the FSE it uses originated algorithms from of a Logic class named Paraconsistent Annotated Logic with annotation of two