Title :
Optimizing the use of flexible residential demand for balancing wind power
Author :
Mekonnen, Muhajir T. ; Dupont, Benjamin ; De Vos, Kristof ; Kessels, Kris ; Belmans, Ronnie
Author_Institution :
Dept. of Electr. Eng. (ESAT), KU Leuven, Heverlee, Belgium
Abstract :
Due to limited predictability of variable renewable energy sources such as wind energy, the balance between demand and supply in electricity systems is challenged. Market players integrating these technologies in their portfolio face increasing imbalances and are, consequently, charged with cost-reflective imbalance tariffs. In this paper, an optimization model is developed which aims to minimize wind power imbalances by means of combining different control options: thermal generators re-dispatch, intra-day market trading and shifting flexible residential demand. The model is applied to a case study on a representative market player in the Belgian market context. Simulation results show that flexible demand provides a significant share in the reduction of the imbalance volume.
Keywords :
electric generators; optimisation; power generation control; power generation economics; renewable energy sources; wind power plants; balancing wind power; cost-reflective imbalance tariffs; electricity systems supply; intraday market trading; market players; optimization model; shifting flexible residential demand; thermal generators re-dispatch; variable renewable energy sources; wind energy; Electricity; Generators; Portfolios; Real-time systems; Smart grids; Wind forecasting; Wind power generation; balancing; demand response; smart grids; unit commitment; wind power;
Conference_Titel :
Innovative Smart Grid Technologies (ISGT Europe), 2012 3rd IEEE PES International Conference and Exhibition on
Conference_Location :
Berlin
Print_ISBN :
978-1-4673-2595-0
Electronic_ISBN :
2165-4816
DOI :
10.1109/ISGTEurope.2012.6465737