Impacts of previous revenues on bidding strategies in electricity market: A quantitative analysis

被引:1
|
作者
Li, Qirui [1 ]
Yang, Zhifang [1 ]
Yu, Juan [1 ]
Li, Wenyuan [1 ]
机构
[1] Chongqing Univ, Coll Elect Engn, State Key Lab Power Transmiss Equipment & Syst Sec, Chongqing 400030, Peoples R China
基金
中国国家自然科学基金;
关键词
Bidding behavior; Optimal bidding; Previous revenue; Prospect theory; Electricity market; OFFERING STRATEGY; RISK; PRODUCER; GENCOS; ENERGY; PAY;
D O I
10.1016/j.apenergy.2023.121304
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
With the development of electricity markets, generation companies (GenCos) generally participate in multiple markets at different time steps to earn profits. GenCos' previous revenues obtained from earlier markets affect their judgement on risks, and thus influence their strategic bidding behavior. However, this influence on bidding behaviors caused by previous revenues from earlier markets is generally neglected in existing studies. This paper proposes a methodology to quantitatively analyze the effect of previous revenue on a GenCo's bidding strategy. A bidding behavior model based on the prospect theory is developed to establish the relationship between previous revenue and bidding strategy. Then, the bidding behavior characteristics under the influence of previous revenue is derived and analyzed based on the established relationship. Finally, several typical bidding modes are sum-marized from the bidding behavior characteristics. Simulation results show that previous revenue has an obvious influence on the GenCo's bidding behavior. The GenCo shows different bidding tendencies under different ranges of previous revenues due to the change in risk preference. The results of this paper validate the necessity of considering previous revenue in market equilibrium analysis and can help regulators to coordinately design the electricity market considering the coupling bidding behaviors of GenCos.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] Congestion influence on bidding strategies in an electricity market
    Peng, TS
    Tomsovic, K
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2003, 18 (03) : 1054 - 1061
  • [2] Studying on bidding strategies in electricity power market
    Yang, LJ
    Tan, ZF
    [J]. PROCEEDINGS OF THE 2001 INTERNATIONAL CONFERNECE ON MANAGEMENT SCIENCE & ENGINEERING, 2001, : 316 - 320
  • [3] Bidding Strategies of Power Suppliers in Electricity Market
    Cheng, Yu
    Yu, Zhisen
    [J]. 2008 CHINA INTERNATIONAL CONFERENCE ON ELECTRICITY DISTRIBUTION, VOLS 1 AND 2, 2009, : 914 - 918
  • [4] Energy bidding strategies for restructured electricity market
    Prabavathi, M.
    Gnanadass, R.
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2015, 64 : 956 - 966
  • [5] Stochastic models for bidding strategies on oligopoly electricity market
    Borgosz-Koczwara, Magdalena
    Weron, Aleksander
    Wylomanska, Agnieszka
    [J]. MATHEMATICAL METHODS OF OPERATIONS RESEARCH, 2009, 69 (03) : 579 - 592
  • [6] Nash equilibrium bidding strategies in a bilateral electricity market
    Song, HL
    Liu, CC
    Lawarrée, J
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2002, 17 (01) : 73 - 79
  • [7] Stochastic models for bidding strategies on oligopoly electricity market
    Magdalena Borgosz-Koczwara
    Aleksander Weron
    Agnieszka Wyłomańska
    [J]. Mathematical Methods of Operations Research, 2009, 69 : 579 - 592
  • [8] Analysis of equilibrium-oriented bidding strategies with inaccurate electricity market models
    Qiu, Zhifeng
    Gui, Ning
    Deconinck, Geert
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2013, 46 : 306 - 314
  • [9] Equilibrium Analysis of Electricity Market with Microgrids Bidding
    Zhang, Ying
    Wang, Xian
    Zhang, Shaohua
    [J]. PROCEEDINGS OF THE 30TH CHINESE CONTROL AND DECISION CONFERENCE (2018 CCDC), 2018, : 4194 - 4199
  • [10] Optimal electricity market bidding strategies considering emission allowances
    Corchero, Cristina
    Heredia, F-Javier
    Cifuentes, Julian
    [J]. 2012 9TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET (EEM), 2012,