Abstract
In this paper, the problem of the simultaneous estimation of frequency and power components is investigated. It is solved through a new recursive estimator capable of estimating the unknown model parameters during severe dynamic changes in the system. By this, a simple nonlinear parameter model for the instantaneous power, taking into account the fundamental components of voltage and current, is used as a starting point for the power components and frequency estimation. In the model, the system frequency is considered as an unknown model parameter, and it is simultaneously estimated with other unknown parameters. This resulted in an efficient numerical algorithm for the measurement of power components, which is not sensitive to variations of the system frequency. This is an important achievement, which improves the accuracy of the method during network transients. The new estimator has been improved by the strategy for tuning its forgetting factor according to the system dynamics, and it is tested through computer simulations and by using data records obtained under laboratory conditions. The algorithm was developed for a single-phase system, and the approach might be easily extended to multiphase systems. © 2011 IEEE.
Original language | English |
---|---|
Article number | 5928408 |
Pages (from-to) | 3640-3649 |
Number of pages | 9 |
Journal | IEEE Transactions on Instrumentation and Measurement |
Volume | 60 |
Issue number | 11 |
DOIs | |
Publication status | Published - Nov 2011 |
Keywords
- Adaptive algorithms
- frequency
- measurement
- nonlinear estimation
- power components
- recursive estimation