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

This paper analyses a flexibility market based approach to prevent grid congestions and reduce costs for feedin 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 region...

Full description

Saved in:
Bibliographic Details
Published in2019 16th International Conference on the European Energy Market (EEM) pp. 1 - 6
Main Authors Meissner, Anna Christin, Dreher, Alexander, Knorr, Kaspar, Vogt, Mike, Zarif, Hojat, Jurgens, Lucas, Grasenack, Martin
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2019
Subjects
co-simulation
Cogeneration
Congestion management
Data models
local flexibility market
Production
Schedules
smart market
Wind energy
Wind farms
Online AccessGet full text

Cover

More Information
Summary:This paper analyses a flexibility market based approach to prevent grid congestions and reduce costs for feedin 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 16% of congestions. The concept seems particularly attractive for large combined heat and power plants. Additional 91 MW flexibility would be required in order to completely avoid curtailment, corresponding to a ratio of 0.7 MW flexibility per megawatt installed wind capacity.
ISSN:2165-4093
DOI:10.1109/EEM.2019.8916252