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000905741 0247_ $$2Handle$$a2128/30575
000905741 037__ $$aFZJ-2022-00965
000905741 041__ $$aEnglish
000905741 1001_ $$0P:(DE-Juel1)174136$$aFritz, Jakob$$b0$$eCorresponding author$$ufzj
000905741 1112_ $$aThe 34th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems$$cTaormina$$d2021-06-27 - 2021-07-02$$gECOS2021$$wItaly
000905741 245__ $$aImpact of Parametrization of Battery Energy Storages on Multi-Agent Energy Systems with a High Share of Renewable Energy Sources
000905741 260__ $$c2021
000905741 300__ $$a1-10
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000905741 520__ $$aWith the increasing share of distributed renewable energy sources not only the need for distributed energy storages rises, but also the need to coordinate those storages in the context of their local micro-grid. This publication illustrates the impact of battery energy storages on the overall performance of a district energy system. The energy system is controlled in a distributed way by using a multiagent approach that is scheduled by a market-mechanism. This market-mechanism allows to coordinate many individual agents with only few restrictions. The individual agents are flexible in the internal approach to forecast power supply or demand, allowing easy development of agents using individual algorithms.Besides pure consumer or producer agents, the battery storage forms a prosumer agent that can consume energy in some time-steps while supplying energy in others. By this, battery agents provide flexibility to the micro-grid while also aiming to generate profit for the owner. This approach is therefore attractive to both, the district energy system and the battery storage operator. The presented battery agents use model predictive control to determine the optimal operation strategy/bid for the upcoming time horizon. The determination of optimal strategy does not only assume losses but also takes the resulting degradation of the battery-cells into account. In a case study, we show the impact of battery storages on the overall system performance. As a main part of the publication, a sensitivity study reveals the importance of the individual parameters and how the revenue of the storage agent is affected. By adapting the charging and discharging power by 20 %, the profit can be increased by 33 % for the presented case.
000905741 536__ $$0G:(DE-HGF)POF4-1122$$a1122 - Design, Operation and Digitalization of the Future Energy Grids (POF4-112)$$cPOF4-112$$fPOF IV$$x0
000905741 7001_ $$0P:(DE-Juel1)8457$$aXhonneux, André$$b1$$ufzj
000905741 7001_ $$0P:(DE-Juel1)172026$$aMüller, Dirk$$b2$$ufzj
000905741 8564_ $$uhttps://juser.fz-juelich.de/record/905741/files/20210711_ECOS_2021_PROCEEDINGS.pdf$$yOpenAccess
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000905741 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)174136$$aForschungszentrum Jülich$$b0$$kFZJ
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000905741 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)172026$$aForschungszentrum Jülich$$b2$$kFZJ
000905741 9131_ $$0G:(DE-HGF)POF4-112$$1G:(DE-HGF)POF4-110$$2G:(DE-HGF)POF4-100$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-1122$$aDE-HGF$$bForschungsbereich Energie$$lEnergiesystemdesign (ESD)$$vDigitalisierung und Systemtechnik$$x0
000905741 920__ $$lyes
000905741 9201_ $$0I:(DE-Juel1)IEK-10-20170217$$kIEK-10$$lModellierung von Energiesystemen$$x0
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