| Authors | Amirreza Mehri,Kazem Mazlumi,حامد هاشمی دزکی,Mohammad Hasan Mansouri,Ramin Mahyaei |
| Journal | Sustainability (basel) |
| Page number | 1 |
| Volume number | 15 |
| IF | ثبت نشده |
| Paper Type | Full Paper |
| Published At | 2023-09-07 |
| Journal Grade | Scientific - research |
| Journal Type | Electronic |
| Journal Country | Iran, Islamic Republic Of |
| Journal Index | SCOPUS ,JCR |
Abstract
Abstract: In power systems, distance relays are commonly employed as the primary protection
for transmission lines, and their operation is of utmost importance. Power swings are a type
of phenomenon that can lead to improper functioning of conventional distance relays, posing a
threat to the uninterrupted flow of electrical power. The occurrence of a power swing disrupts
the impedance measured by the relay, causing it to deviate from the normal load condition and
enter the relay tripping zones. This research paper introduces a novel method based on the Prony
method for extracting current waveform components, enabling fault detection during power swings.
Subsequently, the proposed method’s accuracy is assessed through simulations implemented on a
nine-bus power system, involving three-phase current signal processing and the application of the
proposed algorithm. Various fault scenarios encompassing varying fault distances from the relay
position, fault resistances, and power angles within the 9-bus system are simulated to encompass
a wide range of fault environments. The simulation results demonstrate the effectiveness of the
proposed algorithm in detecting all types of faults, including symmetrical and asymmetrical faults,
during power swings.