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Moreira, E. M. (2006). Power System State Estimation: Computer program for analysis and updating of measurement set qualitative characteristics. Dissertation (Master study) – Escola de Engenharia de Sao Carlos, Universidade de Sao Paulo, Sao Carlos, 2006. To obtain a safe Power System (PS) operation, becomes necessary a reliable State Estimation (SE), since the real time control actions of a PS are based on the data obtained through the SE process. The first requirement for a successful SE process is the existence of a reliable measurement placement plan, that is, a measurement placement plan that guarantees system observability and the absence of both critical measurements and critical sets. However, considering that during the operation of a PS measurements can be lost decreasing the measurement-redundancy, one can say that although a reliable measurement placement plan is a necessary condition to guarantee a reliable state estimation, it is not sufficient. This dissertation presents a computer program that allows for a reliable SE, even in situations of problems causing loss of measurements. The proposed software allows, in a very fast way in terms of execution time, observability analysis and restoration, identification of critical measurements and critical sets, as well as the updating of these measurement set qualitative characteristics after loss of measurements. As a theoretical background for the development of the software, two algorithms were utilized allowing for the analysis of measurement set qualitative characteristics based on the triangular factorization of the Jacobian matrix, as well as sparsity techniques and techniques for the development of programs. To prove the efficiency of the proposed software, several tests were performed using the system of 6, 14 and 30 buses from IEEE and 121 buses from ELETROSUL. Key-words: Electrical Power Systems, State Estimation, Observability, Critical Measurements, Critical Sets, Sparsity Techniques.

Estimação de estado em sistemas elétricos de potência: programa para análise e atualização das características qualitativas de conjunto de medidas