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Improving power swing detection in the presence of doubly-fed induction generator wind farms based on setting adaptation.
- Source :
-
Electric Power Systems Research . Nov2023, Vol. 224, pN.PAG-N.PAG. 1p. - Publication Year :
- 2023
-
Abstract
- • The penetration of DFIG wind farms into the power systems can lead to PSB of the distance protection malfunction. • DFIG wind farms lead to an impedance trajectory increase speed in the R-X plane of distance protection during power swing. • Adaptive adjustment of power swing blocking bands in concentric and blinder schemes improves distance protection security. • Power system dominant modes can be used to adjust the power swing blocking band. This article proposes a new approach to improve the security of transmission line protection by correctly detecting power swing when large-scale doubly-fed induction generator wind farms (DFIGWF) exist in the proximity of the relay. In the presence of large-scale DFIGWFs, following large disturbances, power swing may probably cause the distance protection to malfunction. This issue can also lead to widespread transmission line outage and cause instability in the power system. Therefore, a new approach is proposed to solve the challenge by adapting the power swing blocking (PSB) function in the distance protection relays and utilizing the dominant power system oscillation modes. Thus, related calculations are performed in a central module remotely connected to intelligent electronic devices (IEDs) for distance protection and stabilized against power swing. The calculation to adjust the PSB setting of the IEDs in the central module is based on the oscillation modes of the power system and the rate of change of impedance, which is influenced by the penetration rate of the DFIGWFs. Simulation studies have been done on two test systems and the results reveal that the proposed scheme significantly improves the security of distance protection against power swing under different DFIGWF intrusion conditions. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 03787796
- Volume :
- 224
- Database :
- Academic Search Index
- Journal :
- Electric Power Systems Research
- Publication Type :
- Academic Journal
- Accession number :
- 171847709
- Full Text :
- https://doi.org/10.1016/j.epsr.2023.109722