Meißner, Anna ChristinAnna ChristinMeißnerDreher, AlexanderAlexanderDreherKnorr, KasparKasparKnorrVogt, MikeMikeVogtZarif, HojatHojatZarifJürgens, LucasLucasJürgensGrasenack, MartinMartinGrasenack2022-03-142022-03-142019https://publica.fraunhofer.de/handle/publica/40611510.1109/EEM.2019.8916252This paper analyses a flexibility market based approach to prevent grid congestions and reduce costs for feed in management. A method and implementation are presented to simulate this local flexibility market for the district Brunsbüttel in Northern Germany. The analysed approach introduces a regional auction to trade energy in a way that day-ahead forecasted congestions are minimised by coordinating the flexibility potential of the area. To quantify the potential of the mechanism a cosimulation was set up, using the OpSim co-simulation framework. The results show that the mechanism solves 100 % of congestions at the cost of 74 % of conventional feed-in management. Local flexibility assets, excluding curtailed wind farms, manage to prevent 21 % of congestions. The concept seems particularly attractive for large combined heat and power plants and electrolysis. Additional 62 MW flexibility would be required in order to completely avoid curtailment, corresponding to a ratio of 0.5 MW flexibility per megawatt installed wind capacity.encongestion managementCo-Simulationlocal flexibility marketSmart Market621conference paper