Using selected flexibility resources in the power system to eliminate overloads on high-voltage lines
Artykuł w czasopiśmie
MNiSW
5
spoza listy
| Status: | |
| Autorzy: | Pijarski Paweł, Przepiórka Dominik, Malska Wiesława, Sarajčev Petar, Jakus Damir |
| Dyscypliny: | |
| Aby zobaczyć szczegóły należy się zalogować. | |
| Rok wydania: | 2027 |
| Wersja dokumentu: | Drukowana | Elektroniczna |
| Język: | angielski |
| Numer czasopisma: | Pt B |
| Wolumen/Tom: | 265 |
| Numer artykułu: | 114042 |
| Strony: | 1 - 14 |
| Web of Science® Times Cited: | 0 |
| Bazy: | Web of Science |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | NIE |
| Publikacja OA: | TAK |
| Licencja: | |
| Sposób udostępnienia: | Witryna wydawcy |
| Wersja tekstu: | Ostateczna wersja opublikowana |
| Czas opublikowania: | W momencie opublikowania |
| Data opublikowania w OA: | 26 sierpnia 2026 |
| Abstrakty: | angielski |
| With the growing share of distributed energy sources and energy storage, the problem of high-voltage line overloads is becoming one of the key challenges of modern power systems. This paper proposes a method to eliminate transmission line overloads by coordinating power changes among selected generation units, loads, and energy storage units, with network reconfiguration as needed. A key element of the proposed approach is identifying the controllable elements most strongly associated with overload patterns in post-contingency scenarios. These elements were identified using statistical correlation coefficients describing the relationship between line loading levels and the power generated, consumed, or stored at individual buses. Correlation analysis was used to determine a subset of candidate elements most relevant to the observed overload patterns, thereby reducing the dimension of the control problem. The proposed approach enables effective overload reduction while simultaneously reducing the problem's dimensionality. The results indicate that it can be a useful tool supporting network management under conditions of high generation and load variability. |
