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Aggregator-based optimization of the deployment of decentralized flexibility under consideration of technological and economic restrictions
Publikationstyp
Conference Presentation
Date Issued
2022-09
Sprache
English
Citation
International Conference on Operations Research (OR 2022)
Contribution to Conference
Publisher
KIT
The energy system transformation towards decentralized and renewable energy resources (DERs) is inevitable in order to mitigate climate change. New operational concepts arise as a consequence of structural system changes and the ongoing digitization of energy systems. Research in the field of transactive energy gives increasing importance to energy markets, not only from an economic perspective, but also as part of an approach for efficiently and resiliently operating grids. Aggregators help to bring the DERs’ potential for flexibility to the market. However, an aggregator’s decision on how to employ a large number of different kinds of flexible resources, considering the respective technological properties and also economic conditions of the flexibility providers, is a complex problem.
In this work, mixed-integer linear programming is used to develop and implement an optimization model for this problem. The model is applied in a case study consisting of a distribution grid with a large number of prosumer households with load and generation profiles and individual flexible assets. The new research contribution lies in the high level of detail and the combined consideration of different flexibility types such as heat pumps, electric vehicles, battery storages and time-shiftable loads. The integration of a flexibility framework which regulates the aggregators’ degrees of freedom in deploying their customers’ flexibility is a further innovation compared to existing literature.
The numerical results from the case study give insights regarding the utility that the different types of flexibility provide to the aggregator, to the households and to the overall grid resilience. Further analyses validate the efficiency of the flexibility framework.
In this work, mixed-integer linear programming is used to develop and implement an optimization model for this problem. The model is applied in a case study consisting of a distribution grid with a large number of prosumer households with load and generation profiles and individual flexible assets. The new research contribution lies in the high level of detail and the combined consideration of different flexibility types such as heat pumps, electric vehicles, battery storages and time-shiftable loads. The integration of a flexibility framework which regulates the aggregators’ degrees of freedom in deploying their customers’ flexibility is a further innovation compared to existing literature.
The numerical results from the case study give insights regarding the utility that the different types of flexibility provide to the aggregator, to the households and to the overall grid resilience. Further analyses validate the efficiency of the flexibility framework.
DDC Class
330: Wirtschaft
380: Handel, Kommunikation, Verkehr