By exploring the added value of SHARM for operational use, the industry is better positioned to face a future energy marked with increased share of new renewable energy sources like wind and solar power.
The SHARM model aims to improve the daily scheduling of hydropower. The model is based on a stochastic formulation of the successive linear programming method used in SHOP.
SHARM takes into account uncertainty in inflow to the reservoirs and in day-ahead market prices. The model is capable of providing decision support and robust planning where several strategies must be weighted against each other. This is important for utilization of hydropower flexibility to balance renewable energy sources.
Publication:
Belsnes, Michael Martin; Wolfgang, Ove; Follestad, Turid; Aasgård, Ellen Krohn. Applying successive linear programming for stochastic short-term hydropower optimization
