@conference { ,
	title = {A Multistage Stochastic Programming Model for the Optimal Bid of Wind-BESS Virtual Power Plants to Electricity Markets},
	year = {2017},
	month = {16-21/12/2017},
	type = {Invited presentation},
	address = {La Havana},
	abstract = {One of the objectives of the FOWGEN project (https://fowgem.upc.edu) was to study the economic feasibility and optimal operation of a wind-BESS Virtual Power Plant (VPP): In [1] an ex-post economic analysis shows the economic viability of a wind-BESS VPP thanks to the optimal operation in day-ahead and ancillary electricity markets; In [2] a new multi-stage stochastic programming model (WBVPP)for the optimal bid of a wind producer both in spot and ancillary services electricity markets is developed.

The work presented here extends the study in [2] with a new methodology to treat the uncertainty, based in forecasting models, and the study of the quality of the stochastic solution.

[1] F-Javier Heredia et al. Economic analysis of battery electric storage systems operating in electricity markets 12th International Conference on the European Energy Market (EEM15), 2015 DOI: 10.1109/EEM.2015.7216739.
[2] F-Javier Heredia et al. On optimal participation in the electricity markets of wind power plants with battery energy storage system. Submitted, under second revision. 2017.},
	keywords = {multistage; VSS; wind-BESS VPP; wind power; energy storage; battery; research},
	URL = {http://wias-berlin.de/workshops/oms2017/},
	author = {F.-Javier Heredia and Marlyn D. Cuadrado and J.-Anton Sánchez}
}

