501. Renewable Energy Communities with Peer-to-Peer Exchange: a chance-constraint approach
Invited abstract in session TB-12: Optimisation under uncertainty in the power sector, stream Applications: AI, uncertainty management and sustainability.
Tuesday, 10:30-12:30Room: B100/8009
Authors (first author is the speaker)
| 1. | Santo Saraceno
|
| Economics and managment, University of Brescia | |
| 2. | Elisabetta Allevi
|
| University of Brescia | |
| 3. | Giorgia Oggioni
|
| Department of Economics and Management, University of Brescia, Italy | |
| 4. | Rossana Riccardi
|
| Economics and Management, University of Brescia | |
| 5. | Abdel Lisser
|
| L2S, CentraleSupélec |
Abstract
This work presents a chance-constraint model for the management of Energy
Communities, focusing on prosumers and peer-to-peer electricity exchanges.
The model aims to minimize the total operation costs of the community, while ensuring energy balance and satisfying technical constraints related to local production and the energy exchanges both inside the community and with the main grid.
Uncertainty in solar photovoltaic generation and electricity demand is addressed using individual and joint chance constraints that are modeled using normal distributions and approximated through piecewise-linear techniques when necessary.
The model is tested on a prototype example of community and is implemented in Python using Pyomo.
Keywords
- Optimization under uncertainty
- Optimization in industry, business and finance
- Stochastic optimization
Status: accepted
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