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Abstract
Nowadays, multi-energy consumers in the industrial sector have a significant contribution in exchange of different forms of energy such as electricity, heat, and natural gas. So, multi-energy consumers can provide excellent opportunities for market players to trade power in various energy markets. In this paper, a new entity called multi-energy retailer is introduced to simultaneously meet both flexible and non-flexible electrical, gas, and heat demands of multi-energy consumers, with a high level of supply reliability. The multi-energy retailer is equipped with cogeneration facilities and various storage technologies such as power-to-x storages to exploit the actual arbitrage opportunities in different layers of energy markets. The presented structure successfully models the behavior of multi-energy retailer entity and seeks to maximize its profit as well as increase the welfare level of the multi-energy consumers. The uncertainties associated with electricity market price and various demands of multi-energy consumers can affect the profit and optimal day-ahead scheduling of the multi-energy retailer. In order to accurately model such uncertainties, a hybrid robust-stochastic approach is utilized in this study. This approach helps the multi- energy retailer's operator to evaluate the worst-case of the scheduling process for the entity. Finally, the profit of the multi-energy retailer entity is estimated in the presence of conversion facilities, demand response programs, and various uncertainties based on actual energy market data.
Original language | English |
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Article number | 118948 |
Journal | Energy |
Volume | 214 |
ISSN | 0360-5442 |
DOIs | |
Publication status | Published - 2021 |
Keywords
- Energy markets
- Energy storage systems
- Multi-energy consumers (MEC)
- Multi-energy retailer (MER)
- Robust-stochastic model
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Dive into the research topics of 'A Hybrid Robust-Stochastic Approach to Evaluate the Profit of a Multi-Energy Retailer in Tri-Layer Energy Markets'. Together they form a unique fingerprint.Projects
- 1 Finished
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Optimal Energy Management of Local Industrial Energy Hubs
Zare Oskouei, M., Mohammadi-Ivatloo, B., Abapour, M., Shafiee, M. & Anvari-Moghaddam, A.
23/09/2018 → 28/02/2021
Project: PhD Project