417. Bilevel Optimization for aggregation of demand-side flexibility: a hybrid metaheuristic-exact approach
Invited abstract in session WC-20: Topics in Combinatorial Optimization 2, stream Combinatorial Optimization.
Wednesday, 12:30-14:00Room: Esther Simpson 2.11
Authors (first author is the speaker)
| 1. | Maria João Alves
|
| Faculty of Economics of University of Coimbra / INESC - Coimbra | |
| 2. | Carlos Henggeler Antunes
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| INESC Coimbra, Department of Electrical and Computer Engineering, University of Coimbra | |
| 3. | Inês Soares
|
| INESC Coimbra | |
| 4. | Ana Soares
|
| Department of Electrical and Computer Engineering, University of Coimbra, INESC Coimbra |
Abstract
Flexibility is key to managing power systems aimed to encourage modulation of electricity consumption in the face of the increasing share of variable renewable generation. Aggregators play a growing role by collecting flexibility from consumers and prosumers to sell it to the grid/market operator, creating economic and operational benefits for all stakeholders. The aggregator-consumer interaction can be modeled as a bilevel multi-follower mixed-integer program, where the aggregator sets financial incentives at the upper level, while consumers optimize their energy use in response to rewards, electricity prices, and comfort preferences at the lower level. To solve this problem efficiently, we propose a hybrid approach that combines particle swarm optimization for the upper-level problem with an exact mixed-integer linear programming solver for the lower-level problem. Computational experiments have been performed under a computational budget for a real data setting that includes typical residential appliances, an electric vehicle, stationary batteries, microgeneration, and grid interactions.
Keywords
- OR in Energy
- Programming, Mixed-Integer
- Metaheuristics
Status: accepted
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