Optimal Bidding for a Large Battery-Electrolyzer Facility in the Day-ahead Market (CROSBI ID 721923)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Miljan, Petra ; Tomsic Zeljko ; Pandzic Hrvoje
engleski
Optimal Bidding for a Large Battery-Electrolyzer Facility in the Day-ahead Market
An increasing renewable energy sources (RES) penetration in the recent years has also increased the need for additional flexibility sources and technologies that increase the RES utilization. In addition to battery energy storage, electrolyzers, a technology that produces hydrogen without emitting CO$_{;2};$, are also receiving an increasing attention. This paper proposes a bi- level profit maximization model for a large battery-electrolyzer facility operation in the day-ahead electricity market. The upper level maximizes the overall profit of the facility, while the lower level simulates the market clearing by maximizing the social welfare. The proposed model is tested on the IEEE RTS-24 test system expanded with wind farms to replicate a modern power system. The presented case study shows how different levels of installed power capacity affect the obtained profit and discusses the battery and electrolyzer utilization.
bi-level optimization, battery, electrolyzer, market clearing
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Podaci o prilogu
1-6.
2022.
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objavljeno
10.1109/MELECON53508.2022.9843137
Podaci o matičnoj publikaciji
Podaci o skupu
2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON)
predavanje
14.06.2022-16.06.2022
Palermo, Italija