Impact From Dynamic Line Rating on Wind Power Integration
Autor: | Yalin Huang, Lennart Söder, Carl Johan Wallnerström |
---|---|
Rok vydání: | 2015 |
Předmět: |
dynamic rating
dynamic line rating Engineering Wind power General Computer Science business.industry utilization power distribution Function (mathematics) management decision-making Electrical Engineering Electronic Engineering Information Engineering simulation wind power Power rating Control theory Component (UML) Line (text file) Elektroteknik och elektronik business Power system simulator for engineering Simulation |
Zdroj: | IEEE Transactions on Smart Grid. 6:343-350 |
ISSN: | 1949-3061 1949-3053 |
Popis: | 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. QC 20140902 |
Databáze: | OpenAIRE |
Externí odkaz: |