Back to Search
Start Over
Probabilistic forecasting for sizing in the capacity firming framework
- Source :
- 2021 IEEE Madrid PowerTech
- Publication Year :
- 2021
-
Abstract
- This paper proposes a strategy to size a grid-connected photovoltaic plant coupled with a battery energy storage device within the \textit{capacity firming} specifications of the French Energy Regulatory Commission. In this context, the sizing problem is challenging due to the two-phase engagement control with a day-ahead nomination and an intraday control to minimize deviations from the planning. The two-phase engagement control is modeled with deterministic and stochastic approaches. The optimization problems are formulated as mixed-integer quadratic problems, using a Gaussian copula methodology to generate PV scenarios, to approximate the mixed-integer non-linear problem of the capacity firming. Then, a grid search is conducted to approximate the optimal sizing for a given selling price using both the deterministic and stochastic approaches. The case study is composed of PV production monitored on-site at the Li\`ege University (ULi\`ege), Belgium.
Details
- Database :
- arXiv
- Journal :
- 2021 IEEE Madrid PowerTech
- Publication Type :
- Report
- Accession number :
- edsarx.2106.02323
- Document Type :
- Working Paper
- Full Text :
- https://doi.org/10.1109/PowerTech46648.2021.9494947