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Lucas de Paula F. D. Cardoso
Departamento de Engenharia Elétrica, Universidade Federal de São Carlos, SP
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Thales Pedro S. Esperança
Departamento de Engenharia Elétrica, Universidade Federal de São Carlos, SP
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Edson Luis Geraldi Junior
Instituto Federal de Educação, Ciência e Tecnologia de São Paulo, Câmpus Tupã, SP
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Tatiane Cristina C. Fernandes
Departamento de Engenharia Elétrica, Universidade Federal de São Carlos, SP
Keywords:
Rotor speed estimation, Small-signal stability, Kalman filter, Measurement noise
Abstract
In electrical planning and operation of an interconnected network, accurate infor- mation about the dynamic behaviour of a system is essential for its effective control and reliable operation. Specifically, in small-signal stability analysis, an accurate measurement of synchronous machine dynamic states, such as its rotor speed, is very important to mitigate the detrimental effects of poorly damped electromechanical oscillations in electric power systems. With the development of smart grids and an environment rich in information, it becomes possible to develop new methods to monitor and estimate the behavior of this variable from remote signals and apply it in stability studies. In this context, this paper proposes a decentralized approach based on Kalman Filter to estimate the rotor speed of synchronous generators. The proposed method uses only signals that can be easily sampled by measuring equipment, such as current and voltage transformers at the high voltage side of the step-up transformer of the power plant. The results obtained in the 68-bus system show an efficiency of the technique in estimating the speed of the generator under analysis even with the presence of noise in the sampled signals.
