Optimal operation scheduling of a pump hydro storage system coupled with a wind farm

Autor: Changying Zhao, Huijin Xu, João Graça Gomes, António Sá da Costa, João Telhada
Rok vydání: 2021
Předmět:
Zdroj: IET Renewable Power Generation, Vol 15, Iss 1, Pp 173-192 (2021)
ISSN: 1752-1424
1752-1416
DOI: 10.1049/rpg2.12014
Popis: 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.
Databáze: OpenAIRE
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