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Dynamic Thermal Line Rating (DLR) is deemed to be an effective way toincrease transmission capacities and therefore enabling additional operationalflexibility. The transmission capacities are dynamically determined based oncurrent or expected weather conditions. First pilot projects have proven itsefficiency. In this paper we present two approaches to determine the locationand amount of ramping capabilities for corrective control measures in the caseof errors in the forecast of the line rating. Both approaches result in robustoptimization problems, where the first approach guarantees that there is asuitable remedial action for every realization of uncertainty in a givenuncertainty set. The corrective control action is calculated once the forecasterror is known. The second approach relies on affine policies which directlyrelate the current line rating to corrective control measures, if needed, whichenables a decentralized operation. In case studies, the two approaches arecompared and the reduction of overall operational costs is demonstratedexemplarily for different parameters.

Robust Corrective Control Measures in Power Systems with Dynamic Line Rating