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

João Graça Gomes, João Telhada, Huijin Xu, Antônio Costa, Changying Zhao

2021IET Renewable Power Generation24 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

Computer scienceScheduling (production processes)Wind powerEnvironmental scienceMarine engineeringOperations researchEngineeringElectrical engineeringOperations managementMicrogrid Control and OptimizationSmart Grid Energy ManagementEnergy Load and Power Forecasting
Optimal operation scheduling of a pump hydro storage system coupled with a wind farm | Litcius