Abstract
Dynamic line ratings (DLR) can increase power transmission capacity of power lines. The use of DLR becomes effective, if DLR is possible to be known beforehand, e.g., a dayahead for the different hours of the following day. Power line ampacity, and thus DLR, is dependent on weather conditions, mainly wind and temperature-in this order of significance. Thus, DLR can be forecasted based on weather forecasts. Temperature, being less variable and more predictable than wind, is used as the only weather variable for DLR forecasting in the method and data analysis presented in this paper. Temperature measurement and forecast data within a crossborder connection area between Finland and Sweden are analyzed for DLR application and DLR forecastability. The presented approach is proven to be sufficient for conservative and high-reliability demanding DLR forecasts, still enabling even significant increase in line ratings most of the time compared to the static line ratings.
| Original language | English |
|---|---|
| Title of host publication | IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society |
| Publisher | IEEE Institute of Electrical and Electronic Engineers |
| Pages | 3738-3742 |
| ISBN (Electronic) | 978-1-4799-1762-4, 978-1-4799-1761-7 |
| DOIs | |
| Publication status | Published - 28 Jan 2016 |
| MoE publication type | A4 Article in a conference publication |
| Event | 41st Annual Conference of the IEEE Industrial Electronics Society - Yokohama, Japan Duration: 9 Nov 2015 → 12 Nov 2015 Conference number: 41 |
Conference
| Conference | 41st Annual Conference of the IEEE Industrial Electronics Society |
|---|---|
| Abbreviated title | IECON |
| Country/Territory | Japan |
| City | Yokohama |
| Period | 9/11/15 → 12/11/15 |
Keywords
- ampacity
- Dynamic Line Rating (DLR)
- forecasting
- temperature
- transmission line