A remedial action optimizer for the flow-based capacity calculation

Day-ahead capacity calculation methodologies such as available transfer capacity and flow-based calculation should be based on optimization procedures able to select the optimal set of remedial actions in order to maximize the domain of the power exchanges between bidding zones. This paper presents a remedial action optimizer (RAO) formulated as a mixed integer linear programming able to select the optimal set of non-costly remedial actions (i.e. topological remedial actions and variations of the tap position of phase shifting transformers) that maximizes the remaining available margin of monitored critical branches. Illustrative applications of the RAO on simple test networks are reported and discussed. Results show that the developed procedure is suited for the maximization of the flow-based domain.