Flow-based parameter determination in large-scale electric power transmission systems

Due to the increasing exchanges of electricity in Europe, advanced Capacity Allocation and Congestion Management (CACM) methods, such as zonal flow-based market coupling (FBMC), have been developed. For instance, the implementation of the FBMC method is accompanied by high computational effort due to the large number of possible Critical-Branch-Critical-Outage (CBCO) combinations, especially in large-scale power systems. In this context a methodology for ex-ante determining relevant parameters of zonal FBMC models is presented in this paper. By concatenating linear sensitivities and applying a presolving algorithm in advance the approach enables to reduce the amount of network constraints in the market coupling optimization, so that system studies can be performed in reasonable time. The computational efficiency of the proposed approach is proven by comparing the calculation times of different FBMC implementations in a European case study.