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Collusion Potential Assessment in Electricity Markets Considering Generation Flexibility
Tu, Teng1; Ding, Yi1; Ji, Peng2; Bao, Minglei1; Shang, Nan3; Song, Yonghua1,4; Zeng, Dan5
2023-07-01
Source PublicationCSEE Journal of Power and Energy Systems
ISSN2096-0042
Volume9Issue:4Pages:1551-1566
Abstract

The collusion among various generating units has been a problematic issue affecting the fairness and transparency of electricity markets. Therefore, it is of great significance to assess the potential of such collusion in the electricity market. However, the previous assessment studies primarily focused on the bidding behaviors of collusive generating units, without considering the influences of generation flexibility, such as ramp rates. In this paper, a novel assessment method is proposed to evaluate the collusion potential in the electricity market considering generation flexibility. First, a bi-level optimization model is developed to simulate the collusive strategies of different generating units, including the withholding of generation capacities and ramp rates, as well as the uplifting of minimum outputs and bidding prices. In the upper-level problem, collusive generating units optimize their offering strategies to optimize the generation profits without violating the regulatory laws. The lower-level problem is a day-ahead economic dispatch model which minimizes the dispatching costs. Based on the optimal collusive strategies determined by the bi-level model, a framework is then proposed to assess the collusion potential in electricity markets. Moreover, price-based and profit-based indices are proposed to quantitatively evaluate the collusion potential of different generating units. Finally, the proposed assessment method is validated on a modified IEEE 39-node system. The numerical results demonstrated that generation flexibility can be exploited collusively for making excessive profits, particularly during load peaks and valleys.

KeywordCollusion Potential Economic Dispatch Generation Flexibility Ramp Rates Strategic Withholding
DOI10.17775/CSEEJPES.2020.01550
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaEnergy & Fuels ; Engineering
WOS SubjectEnergy & Fuels ; Engineering, Electrical & Electronic
WOS IDWOS:001045318200026
Scopus ID2-s2.0-85168132268
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Document TypeJournal article
CollectionFaculty of Science and Technology
THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
Corresponding AuthorDing, Yi
Affiliation1.College of Electrical Engineering, Zhejiang University, Hangzhou, 310027, China
2.Beijing Power Exchange Center Co. Ltd., Beijing, 100000, China
3.Institute of Energy Strategy and Policy, China Southern Power Grid, Guangzhou, 510663, China
4.University of Macau, State Key Laboratory of Internet of Things for Smart City, Taipa, Macao
5.China Electric Power Research Institute, Nanjing, 210037, China
Recommended Citation
GB/T 7714
Tu, Teng,Ding, Yi,Ji, Peng,et al. Collusion Potential Assessment in Electricity Markets Considering Generation Flexibility[J]. CSEE Journal of Power and Energy Systems, 2023, 9(4), 1551-1566.
APA Tu, Teng., Ding, Yi., Ji, Peng., Bao, Minglei., Shang, Nan., Song, Yonghua., & Zeng, Dan (2023). Collusion Potential Assessment in Electricity Markets Considering Generation Flexibility. CSEE Journal of Power and Energy Systems, 9(4), 1551-1566.
MLA Tu, Teng,et al."Collusion Potential Assessment in Electricity Markets Considering Generation Flexibility".CSEE Journal of Power and Energy Systems 9.4(2023):1551-1566.
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