Resumo:
The increasing complexity of interconnected electric systems operation demands real
time on-line monitoring which is accomplished by control centers. It is indispensable to have
validation procedures for measures, detecting those that present problems, to guarantee the
reliability and correction of decisions and actions adopted in the control centers. In large
supervision and control systems data validation is a task in charge of the State Estimation
programs. To guarantee estimation convergence, however, some necessary restrictions exist
that cannot always be satisfied in all applications. The main problem to overcome is the
measure contamination with gross errors.
Techniques for information validation are presented. They guide decisions in the
operation control centers and make operation reliable and safe. The discussion was
concentrated on the case of the measures. The problem of topology configuration validation is
not addressed.
The development of remote diagnosis and remote calibration procedures for
measurement systems is one of the approached topics. In this work stage it was sought to join
the new technological resources of supervision and control systems and measured information
to overcome some difficulties presented in the methods proposed until now. The method
makes possible the duplication of maintenance periodicity, reducing costs, and can be
remotely applied in the majority of cases observed in the life cycle of telemetering systems.
Another focus of the work is the filtering of gross errors in the raw measures, before
giving this data to state estimate process. The objective is the correction of measures
conveying gross errors, making state estimate convergence possible. This is done using the
event covering techniques, based on the entropy concept.
