Optimal operation scheduling of a pump hydro storage system coupled with a wind farm
Author(s)
Graça Gomes, João
Telhada, João
Xu, Huijin
Sá da Costa, António
Zhao, Changying
Type
Journal Article
Abstract
The variability in non-dispatchable power generation makes essential the improvement of production management. This study focuses on the development of an optimisation model for a renewable power unit, composed of a wind farm and a hydro-pump storage power plant, to maximise its revenue. The combination of the two technologies allows the mitigation of risks associated with wind production and electricity price variability. The problem is formulated using linear programming and encompasses the selling of electricity in the Iberian day-ahead market and through a bilateral contract. The model is tested and scrutinised with sets of real historical generation and price data. In the day-ahead market scenario, the proposed methodology leads to an average yearly increase of net revenue ranging between 5% and 20%. In the bilateral contract scenario, the coupling of the wind farm and hydropower plant can reduce the imbalances costs substantially. Furthermore, the work identifies a positive correlation between reservoir dimension, turbine capacity and revenue value. The study also detects a revenue reduction tendency related to the decrease in the volatility of electricity prices.
Date Issued
2021-01
Date Acceptance
2020-09-16
Citation
IET Renewable Power Generation, 2021, 15 (1), pp.173-192
ISSN
1752-1416
Publisher
Wiley
Start Page
173
End Page
192
Journal / Book Title
IET Renewable Power Generation
Volume
15
Issue
1
Copyright Statement
© 2020 The Authors. IET Renewable Power Generation published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
License URL
Identifier
http://dx.doi.org/10.1049/rpg2.12014
Publication Status
Published
Date Publish Online
2021-01-12