New technique for frequency and amplitude estimation of power system signals

• Published in: IEE proceedings. Generation, transmission, and distribution Vol. 152; no. 3; pp. 435 - 440
• Main Authors: Aghazadeh, R., Lesani, H., Sanaye-Pasand, M., Ganji, B.
• Format: Journal Article
• Language: English
• Published: Stevenage Institution of Electrical Engineers 01.05.2005
• Subjects: Applied sciences; Connection and protection apparatus; Electrical engineering. Electrical power engineering; Electrical machines; Electrical power engineering; Exact sciences and technology; Miscellaneous; Operation. Load control. Reliability; Power networks and lines; Special rotating machines; Parameter estimation; Automatic regulation; Computer simulation; Protective device; Power system harmonics; Power system stability; Relay protection; Frequency estimation; Algorithm; Damage prevention; Implementation; Power system measurement; Electrical network; Power system protection; Mechanical load; System simulation; Kalman filtering; Digital protection; Measurement method; Turbine generator; Sinusoidal signal; State estimation; Digital relay; Voltage regulators
• ISSN: 1350-2360
• DOI: 10.1049/ip-gtd:20041255

This paper describes the design, analysis and computational aspects of a technique for the measurement of power system voltage, current and frequency. This technique can be used in a digital AVR for the state estimation of turbine-generator terminal quantities or in a digital relay for protection of a power system. This technique provides fast and accurate estimation of power system frequency, and is used in a Kalman-filtering algorithm to estimate power system voltage and current signals. Practical considerations such as the effect of power system harmonics, noise, frequency changes, mechanical and electrical load changes are taken into account during implementation of this technique. Several computer simulation tests are presented to highlight the usefulness of the technique. Simulation results show that the technique can simultaneously estimate the amplitude and frequency of a sinusoidal signal, even in the case that the signal is distorted by harmonics or noise or encounters frequency changes.