LAPSE:2023.24230
Published Article

LAPSE:2023.24230
A Stackelberg Game-Based Approach for Transactive Energy Management in Smart Distribution Networks
March 27, 2023
Abstract
Recently, with the penetration of numerous Distributed Energy Resources (DER) in Smart Distribution Networks (SDN), Local Transactive Markets have emerged. Exchanging energy between all participants of local markets results in the satisfaction of producers and consumers. Based on these issues, this study provides a novel framework for the participation of SDN-independent entities in wholesale and local electricity markets simultaneously. In this regard, the considered system’s players, namely Distribution System Operator (DSO) and DER Aggregator (AG), take part within local as well as wholesale markets in two-day ahead and real-time stages. Moreover, to deal with the inherent conflict between the existing players’ interests, a Stackelberg game-based technique is proposed. In the raised competition, the leader, DSO, attempts to minimize its operating costs, while the follower, DER AG, tends to maximize its profit. Therefore, actors’ actions choices within both markets are made non-cooperatively. On the other hand, to handle the uncertain nature of stochastic parameters in the depicted problem, Monte Carlo Simulation (MCS), together with a fast backward/forward scenario reduction approach, is exploited. Ultimately, to evaluate the efficiency of the proposed scheme, two different case studies, with and without considering the competitive environment, are implemented on a modified IEEE-33 bus SDN.
Recently, with the penetration of numerous Distributed Energy Resources (DER) in Smart Distribution Networks (SDN), Local Transactive Markets have emerged. Exchanging energy between all participants of local markets results in the satisfaction of producers and consumers. Based on these issues, this study provides a novel framework for the participation of SDN-independent entities in wholesale and local electricity markets simultaneously. In this regard, the considered system’s players, namely Distribution System Operator (DSO) and DER Aggregator (AG), take part within local as well as wholesale markets in two-day ahead and real-time stages. Moreover, to deal with the inherent conflict between the existing players’ interests, a Stackelberg game-based technique is proposed. In the raised competition, the leader, DSO, attempts to minimize its operating costs, while the follower, DER AG, tends to maximize its profit. Therefore, actors’ actions choices within both markets are made non-cooperatively. On the other hand, to handle the uncertain nature of stochastic parameters in the depicted problem, Monte Carlo Simulation (MCS), together with a fast backward/forward scenario reduction approach, is exploited. Ultimately, to evaluate the efficiency of the proposed scheme, two different case studies, with and without considering the competitive environment, are implemented on a modified IEEE-33 bus SDN.
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Keywords
aggregators, local electricity markets, smart distribution systems, Stackelberg game, transactive energy
Subject
Suggested Citation
Haghifam S, Zare K, Abapour M, Muñoz-Delgado G, Contreras J. A Stackelberg Game-Based Approach for Transactive Energy Management in Smart Distribution Networks. (2023). LAPSE:2023.24230
Author Affiliations
Haghifam S: Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz 51368, Iran [ORCID]
Zare K: Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz 51368, Iran
Abapour M: Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz 51368, Iran
Muñoz-Delgado G: E.T.S. de Ingeniería Industrial, University of Castilla−La Mancha, 13071 Ciudad Real, Spain [ORCID]
Contreras J: E.T.S. de Ingeniería Industrial, University of Castilla−La Mancha, 13071 Ciudad Real, Spain [ORCID]
Zare K: Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz 51368, Iran
Abapour M: Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz 51368, Iran
Muñoz-Delgado G: E.T.S. de Ingeniería Industrial, University of Castilla−La Mancha, 13071 Ciudad Real, Spain [ORCID]
Contreras J: E.T.S. de Ingeniería Industrial, University of Castilla−La Mancha, 13071 Ciudad Real, Spain [ORCID]
Journal Name
Energies
Volume
13
Issue
14
Article Number
E3621
Year
2020
Publication Date
2020-07-14
ISSN
1996-1073
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Original Submission
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PII: en13143621, Publication Type: Journal Article
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LAPSE:2023.24230
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https://doi.org/10.3390/en13143621
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Mar 27, 2023
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