Stackelberg–Nash game approach for price-based demand response in retail electricity trading Article Swipe
Yanni Wan
,
Jiahu Qin
,
Yang Shi
,
Weiming Fu
,
Feng Xiao
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.ijepes.2023.109577
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1016/j.ijepes.2023.109577
This paper studies the price-based demand response problem in a deregulated retail electricity trading, aiming to coordinate the energy consumption behavior of end-users under dynamic retail prices. The challenge here is that in addition to the hierarchical decision-making process between utility company and end-users considered in existing works, the non-cooperative and competitive interdependence among end-users cannot be ignored. To address this issue, we first construct a novel Stackelberg–Nash game, in which the Stackelberg game is used to capture the hierarchical decision-making process between utility company and end-users, while the Nash game is dedicated to describing the interdependence among end-users. Then the existence and uniqueness of the Stackelberg–Nash equilibrium is provided along with theoretical analysis. On the basis of the analysis of equilibrium, we propose a distributed iterative algorithm with an adaptive step size, which is benchmarked with a fixed step-size algorithm. The comparison results on a real-life residential retail electricity market show that our proposed algorithm has better performance in terms of effectiveness and scalability.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.ijepes.2023.109577
- OA Status
- hybrid
- Cited By
- 25
- References
- 35
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4387993499
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4387993499Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.ijepes.2023.109577Digital Object Identifier
- Title
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Stackelberg–Nash game approach for price-based demand response in retail electricity tradingWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-10-27Full publication date if available
- Authors
-
Yanni Wan, Jiahu Qin, Yang Shi, Weiming Fu, Feng XiaoList of authors in order
- Landing page
-
https://doi.org/10.1016/j.ijepes.2023.109577Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1016/j.ijepes.2023.109577Direct OA link when available
- Concepts
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Stackelberg competition, Nash equilibrium, Computer science, Best response, Demand response, Scalability, Electricity, Game theory, Mathematical optimization, Microeconomics, Economics, Mathematics, Engineering, Database, Electrical engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
25Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 11, 2024: 14Per-year citation counts (last 5 years)
- References (count)
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35Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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