Title :
Impact From Dynamic Line Rating on Wind Power Integration
Author :
Wallnerstrom, Carl Johan ; Yalin Huang ; Soder, Lennart
Author_Institution :
Sch. of Electr. Eng., KTH R. Inst. of Technol., Stockholm, Sweden
Abstract :
The concept of dynamic rating (DR) implies that the capacity of a component varies dynamically as a function of external parameters, while the rating traditionally is based on the worst-case. The value of DR thus lies in utilizing existing equipment to a greater extent. By implementing DR and correlating the new ratings with wind power generation, more generation can be implemented. The aim is hence to facilitate connection of renewable electricity production. This paper provides two main contributions: 1) a general dynamic line rating (DLR) calculation model on overhead lines; and 2) an economic optimization simulation model regarding wind power integration comparing DLR with more traditional approaches. These models can both be implemented together, but also separately. The DLR calculation model is easy to use by companies in daily operation where the dynamic line capacity is calculated as a function of static line capacity, wind speed, and ambient temperature. The DLR calculation model is furthermore compared with more comprehensive calculations that validate that the model is accurate enough. This paper also provides an application study where both proposed models are exemplified together and evaluated. Results from this study conclude that it is a significant economic potential of implementing DR within wind power integration.
Keywords :
optimisation; power generation economics; power overhead lines; transmission network calculations; wind power plants; DLR calculation model; dynamic line capacity; dynamic line rating; economic optimization simulation model; overhead lines; renewable electricity production; static line capacity; wind power generation; wind power integration; wind speed; Conductors; Economics; Investment; Production; Wind power generation; Wind speed; Dynamic line rating; dynamic rating; management decision-making; power distribution; simulation; utilization; wind power;
Journal_Title :
Smart Grid, IEEE Transactions on
DOI :
10.1109/TSG.2014.2341353