Diagnóstico remoto e filtragem de dados da telemedição de sistemas elétricos de potência

Abstract

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.