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Stochastic complementarity models within energy markets

The newly established stochastic complementarity optimization tools are properly compatible with most decision-making problems within energy markets, since they appropriately model the markets functioning while representing the potential uncertainties plaguing markets.

Accordingly, the applicability of stochastic complementarity tools into the following research works related to the energy markets are expected to be investigated:

• Strategic ramp offering of a producer in a renewable-integrated electricity market
• Optimal long-term strategy of a trader in a renewable-integrated electricity market
• Optimal decisions of a distribution operator considering diverse distribution energy resources
• Optimal network simplification of a renewable-integrated power system
• Strategic offering of a gas-fired electricity producer considering interactions between electricity and gas markets
• Strategic wind producer in a two-settlement electricity market.

Supported by the Danish projects PROAIN and “5s” (Danish Strategic Research Council) 

Publikationer rss feed

2024
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Energy-Intensive Industries Providing Ancillary Services: A Real Case of Zinc Galvanizing Process

Gade, Peter Alexander Vistar ; Skjøtskift, Trygve ; Bindner, Henrik W. ; Kazempour, Jalal
part of: Proceedings of 2024 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), pages: 419-425, 2024
Presented at:
IEEE SmartGridComm 2024

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2024     |    DOI: https://doi.org/10.1109/SmartGridComm60555.2024.10738121

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Feature-Driven Strategies for Trading Wind Power and Hydrogen

Helgren, Emil ; Kazempour, Jalal ; Mitridati, Lesia
in: Electric Power Systems Research, vol: 234

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2024     |    DOI: https://doi.org/10.1016/j.epsr.2024.110787

 

Feature-Driven Strategies for Trading Wind Power and Hydrogen

Helgren, Emil ; Kazempour, Jalal ; Mitridati, Lesia
Presented at:
23rd Power Systems Computation Conference

Type: Paper (Peer reviewed)

Status: Published     |    Year: 2024

 

How Satisfactory Can Deep Reinforcement Learning Methods Simulate Electricity Market Dynamics? Bechmarking via Bi-level Optimization

Harder, Nick ; Mitridati, Lesia ; Pourahmadi, Farzaneh ; Weidlich , Anke ; Kazempour, Jalal
in: Energy Informatics Review, vol: 4, issue: 4

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2024

 

How Satisfactory Can Deep Reinforcement Learning Methods Simulate Electricity Market Dynamics? Bechmarking via Bi-level Optimization

Harder, Nick ; Mitridati, Lesia ; Pourahmadi, Farzaneh ; Weidlich , Anke ; Kazempour, Jalal
Presented at:
The 13th DACH+ Energy Informatics Conference

Type: Paper (Peer reviewed)

Status: Published     |    Year: 2024

 

Learning to Bid in Forward Electricity Markets Using a No-Regret Algorithm

Abate, Arega Getaneh ; Majdi, Dorsa ; Kazempour, Jalal ; Kamgarpour, Maryam
Presented at:
23rd Power Systems Computation Conference

Type: Paper (Peer reviewed)

Status: Published     |    Year: 2024

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Learning to Bid in Forward Electricity Markets Using a No-Regret Algorithm

Abate, Arega Getaneh ; Majdi, Dorsa ; Kazempour, Jalal ; Kamgarpour, Maryam
in: Electric Power Systems Research, vol: 234

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2024     |    DOI: https://doi.org/10.1016/j.epsr.2024.110693

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Leveraging P90 Requirement: Flexible Resources Bidding in Nordic Ancillary Service Markets

Gade, Peter A. V. ; Bindner, Henrik W. ; Kazempour, Jalal
part of: Proceedings of 2024 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), pages: 505-510, 2024
Presented at:
IEEE SmartGridComm 2024

Type: Article in proceedings (Peer reviewed)

Status: Published     |    Year: 2024     |    DOI: https://doi.org/10.1109/SmartGridComm60555.2024.10738114

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Load shifting versus manual frequency reserve: Which one is more appealing to Thermostatically Controlled Loads in Denmark?

Gade, Peter A.V. ; Skjøtskift, Trygve ; Ziras, Charalampos ; Bindner, Henrik W. ; Kazempour, Jalal
in: Electric Power Systems Research, vol: 232

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2024     |    DOI: https://doi.org/10.1016/j.epsr.2024.110364

2023
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A Conic Model for Electrolyzer Scheduling

Raheli, Enrica ; Werner, Yannick ; Kazempour, Jalal
in: Computers & Chemical Engineering, vol: 179

Type: Journal article (Peer reviewed)

Status: Published     |    Year: 2023     |    DOI: https://doi.org/10.1016/j.compchemeng.2023.108450


https://www.cee.elektro.dtu.dk/da/research/postdocs/stochastic-complementarity-models-within-energy-markets?fr=11&id=103136
3 MAY 2025