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| Titel: |
A New Approximate Least Absolute Value Based on Dynamic Filtering Algorithm for On-Line Power System Frequency Relaying |
| Auteur: |
Soliman, S. A. Christensen, G. S. El-Naggar, K. M. |
| Verschenen in: |
Electric power components & systems |
| Paginering: | Jaargang 20 (1992) nr. 6 pagina's 569-592 |
| Jaar: |
1992-11-01 |
| Inhoud: |
Frequency deviation from its rated value and its rate of change are indications of load imbalance in power systems. Frequency relays which detect frequency deviation and its rate of change and react accordingly are implanted in power systems to ensure the safe and efficient operation of power systems. This paper presents a new application for a discrete filtering based on least absolute value parameter estimation algorithm (DLAV), which was developed recently by the authors, for on-line measuring of the steady state frequency, the frequency deviation as well as the voltage magnitude and and its phase angle from a noisy measurements. The proposed algorithm uses the digitized samples of the power system voltage at the relay location. The proposed algorith can easily handle the time-varying magnitude of the power system voltage, if any. In this paper, two models are used,namely the two-state model and the six- state model. The order of the second model depends on the number of terms taken from Taylors series expansion. We assume, in this paper, that the power system frequency is constant during the data window size. In this paper we compare the proposed algorithm and the well-known Kalman filtering (KF) algorithm. Test results are reported in this paper, which forms the basis for our conclusion at the end of the paper. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
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