Abstract
The new techniques were presented for preventing undesirable distance relay maloperation during voltage collapse and power swings in transmission grids. Initially, the work focused on the development of a fast detection of voltage collapse and a three-phase fault at transmission lines by using under impedance fault detector (UIFD) and support vector machine (SVM). Likewise, an intelligent approach was developed to discriminate a fault, stable swing and unstable swing, for correct distance relay operation by using the S-transform and the probabilistic neural network (PNN). To illustrate the effectiveness of the proposed techniques, simulations were carried out on the IEEE 39-bus test system using the PSS/E and MATLAB software.
| Original language | English |
|---|---|
| Pages (from-to) | 988-1000 |
| Number of pages | 13 |
| Journal | Journal of Central South University |
| Volume | 20 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - Apr 2013 |
| Externally published | Yes |
Keywords
- distance relay
- fault
- under impedance fault detector
- voltage collapse
ASJC Scopus subject areas
- General Engineering
- Metals and Alloys