Physically based congestion management by powerflow superposition methods at optimal cost

Fast growing power capacities from renewable energies forced by Renewable energy laws and the finiteness of conventional resources lead to fundamental modifications of the power systems. This development combined with a slow proceeding in building new transmission lines and increasing international energy trading activities made network congestions became a daily problem of TSOs in the past years. This paper describes a new method for managing congestions by using a physically based superposition method. This method has the advantage to provide its results very fast, so it could also be used in online network management, but does not have disadvantages with regard to its accuracy. The method can be enhanced to find a solution at optimal costs. The method is firstly deduced from the basic equations of power flow calculation and is secondly applied to a dataset of the Interconnected Network of ENTSO-E within a case study. The results impressively demonstrate the performance of the method.