Please use this identifier to cite or link to this item:

Title: Stochastic optimization for the daily joint operation of wind/PV and energy storage
Authors: Gomes, Isaias
Pousinho, Hugo
Melício, Rui
Mendes, Victor
Keywords: Day-ahead electricity market
energy storage
mixed-integer linear programming
stochastic optimization
wind with PV powers
Issue Date: May-2017
Abstract: This paper deals with the problem of optimal bidding in a day-ahead market of electricity for a power producer having joint operation of wind with photovoltaic power systems and storage of energy. Uncertainty, not only on electricity market prices, but also on wind and photovoltaic powers, has to be faced in order to achieve optimal bidding. The problem is viewed as a sort of a two-stage stochastic optimization problem formulated by mix-integer linear programming. A case study with data from the Iberian Peninsula is presented and a comparison between joint and disjoint operations is discussed, allowing concluding that the joint operation attenuates the economic impact of disjoint operation volatility.
Type: bookPart
Appears in Collections:FIS - Publicações - Capítulos de Livros

Files in This Item:

File Description SizeFormat
Doceis2017_Paper 16.pdf585.21 kBAdobe PDFView/Open
FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpaceOrkut
Formato BibTex mendeley Endnote Logotipo do DeGóis 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Dspace Dspace
DSpace Software, version 1.6.2 Copyright © 2002-2008 MIT and Hewlett-Packard - Feedback
UEvora B-On Curriculum DeGois