Impact analysis of DLR systems with forecasting on economic benefits and renewable generation curtailments

This article studies the benefits obtained from the use of overhead line dynamic line rating (DLR) systems in the operation and scheduling of the electricity market. The use of these systems makes it easier to operate the network more efficiently in real time and allows the use of different thermal limits when scheduling the electricity market (market ratings). When an overhead line is congested, congestion can be reduced by using static probabilistic ratings and probabilistic forecasted ratings, which are associated with a risk of overestimating ampacity. This risk level of overestimated ampacity is related to the risk that the real ampacity is less than the given value on the market. There will be an optimal overestimation risk of ampacity for each system, and changing the system conditions will alter the optimal risk to be assumed within the market limits from an economic perspective. The generation profile in the system influences the needs of the overhead transmission line, as well as the benefits obtained from such systems. To analyse how the optimum risk varies, two cases are simulated in the IEEE 24-bus network. The results show that the type of renewable generation on the grid influences the needs of the overhead line and the optimal risk to obtain an economic benefit.