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2507. Multiobjective approach for the design and operation of energy communities
Invited abstract in session MB-19: OR in Electricity Markets, stream OR in Energy.
Monday, 10:30-12:00Room: 44 (building: 116)
Authors (first author is the speaker)
1. | Bruno Domenech
|
Institute of Industrial and Control Engineering (IOC), Universitat Politècnica de Catalunya – BarcelonaTech (UPC) | |
2. | Ángel David Téllez-Macías
|
Polytechnic University of Catalonia | |
3. | Marc Juanpera
|
Department of Management, Universitat Politècnica de Catalunya | |
4. | Antonin Ponsich
|
Sistemas, Universidad Autónoma Metropolitana - Azcapotzalco | |
5. | Matteo Ranaboldo
|
Centre d’Innovació Tecnològica en Convertidors Estàtics i Accionaments (CITCEA), Universitat Politècnica de Catalunya – BarcelonaTech (UPC) |
Abstract
Energy communities (EC) using renewable sources are a way to achieve energy transition, assigning an active role to end-users (called prosumers). Every prosumer is an electricity consumer and producer, exchanging electricity with other prosumers and the grid. EC are gaining attention in Europe among researchers and the industry, thanks to their economic and legal recognition within the national regulations. The design and operation of EC is a complex combinatorial optimisation problem, where several objectives are to be accounted for: economic, to ensure cost savings, environmental, to take profit of renewable sources, and social, to achieve equity between prosumers. In this work, a multiobjective (MO) mathematical model is developed for the design and operation of EC, determining the location and size of equipment (renewable generators and batteries) as well as the electricity exchanges between prosumers and the grid. A correlation analysis between the solutions obtained from the individual optimisation of several economic, environmental and social objectives is performed in order to select a reduced set to be included in the MO model. Through a simple approach based on ε-constraints, an approximation of the Pareto front can be identified, constituting a set of alternative configurations among which decision-makers may select their preferred one.
Keywords
- Electricity Markets
- Multi-Objective Decision Making
- OR in Energy
Status: accepted
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