PROJECT TITLE :

Robust Corrective Control Measures in Power Systems With Dynamic Line Rating

ABSTRACT:

The increasing injections of energy from renewable energy sources so much away from load centers have resulted in a very a lot of congested transmission grid. As the construction of recent lines is costly, different options ought to be exploited also. One attainable solution is dynamic thermal line rating (DLR), that, instead of static thermal line rating, adapts the transmission capacity based on the expected weather. This results, on average, in higher transmission capacities. Initial pilot comes have proven its efficiency. This paper analyzes the potential of DLR and demonstrates how DLR will be integrated in a very dispatch optimization while managing doable errors in the forecasts of the road ratings with 2 completely different approaches. Each approaches result in robust optimization problems and guarantee that there is a suitable remedial action for all realizations of forecast errors given by uncertainty sets. The primary approach relies on corrective control actions that are calculated centrally, once the particular line rating is thought. The second approach depends on affine policies, which directly relate the current line rating to corrective management measures. This approach will be deployed in a decentralized manner. In case studies, the 2 approaches are applied and also the reduction of overall operational prices is investigated exemplarily as a perform of the forecast accuracy.