A hybrid robust-stochastic approach to evaluate the profit of a multi-energy retailer in tri-layer energy markets
Creators
- 1. Smart Energy Systems Laboratory, Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz (Iran, Islamic Republic of)
- 2. Institute of Research and Development, Duy Tan University, Da Nang 550000 (Viet Nam)
- 3. School of Engineering and Digital Arts, University of Kent, Canterbury (United Kingdom)
- 4. Center of research excellence in renewable energy and power systems, King Abdulaziz University, Jeddah (Saudi Arabia)
- 5. Department of Mechanical and Electrical Engineering, Northumbria University, Newcastle (United Kingdom)
- 6. Department of Energy Technology, Aalborg University, 9220 Aalborg East (Denmark)
Description
Highlights: • A new entity is introduced to meet energy demands of multi-energy consumers. • The role of P2X units is examined in exploiting opportunities in energy markets. • The impact of DRPs is investigated on the MER′ profit. 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.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.energy.2020.118948Additional details
Identifiers
- DOI
- 10.1016/j.energy.2020.118948;
- PII
- S0360544220320557;
Publishing Information
- Journal Title
- Energy (Oxford)
- Journal Volume
- 214
- Journal Page Range
- vp.
- ISSN
- 0360-5442
- CODEN
- ENEYDS
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 53108274
- Subject category
- S29: ENERGY PLANNING, POLICY AND ECONOMY; S42: ENGINEERING;
- Descriptors DEI
- COGENERATION; ELECTRICITY; ENERGY DEMAND; ENERGY STORAGE SYSTEMS; HEAT; NATURAL GAS; PRICES; RETAILERS; STOCHASTIC PROCESSES; TRADE
- Descriptors DEC
- DEMAND; ENERGY; ENERGY SOURCES; ENERGY SYSTEMS; FLUIDS; FOSSIL FUELS; FUEL GAS; FUELS; GAS FUELS; GASES; MARKETERS; POWER GENERATION; STEAM GENERATION
Optional Information
- Copyright
- Copyright (c) 2020 Elsevier Ltd. All rights reserved.