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A co-simulation of flexibility market based congestion management in Northern Germany

: Meißner, Anna Christin; Dreher, Alexander; Knorr, Kaspar; Vogt, Mike; Zarif, Hojat; Jürgens, Lucas; Grasenack, Martin


Institute of Electrical and Electronics Engineers -IEEE-; Institute of Electrical and Electronics Engineers -IEEE-, Power & Energy Society -PES-:
16th International Conference on the European Energy Market, EEM 2019 : Ljubljana, Slovenia, 18-20 September 2019
Piscataway, NJ: IEEE, 2019
ISBN: 978-1-7281-1257-2
ISBN: 978-1-7281-1256-5
ISBN: 978-1-7281-1258-9
6 pp.
International Conference on the European Energy Market (EEM) <16, 2019, Ljubljana>
Bundesministerium fur Wirtschaft und Energie BMWi (Deutschland)
SINTEG; 03SIN411; Norddeutsche EnergieWende 4.0
Norddeutsche Energiewende 4.0
Conference Paper
Fraunhofer ISIT ()
Fraunhofer IEE ()
congestion management; Co-Simulation; local flexibility market; Smart Market

This 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.