Strategic bidding for minimum power output in the competitive power market

被引:23
|
作者
Shrestha, GB [1 ]
Kai, S [1 ]
Goel, L [1 ]
机构
[1] Nanyang Technol Univ, Singapore 2263, Singapore
关键词
minimum output; power market; strategic bidding;
D O I
10.1109/59.962431
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
As deregulation of power industry is becoming a reality, there has been an intense interest in the strategic bidding for suppliers to optimize their benefits. The benefit gained by a supplier is related not only to its energy-price bid curve but also to its submitted operational parameters such as minimum output, etc. This Is especially so when market size is limited because of a limited number of competitors in the market itself or due to the transmission capacity constraints. This paper addresses the study of strategic bidding for minimum output in a deregulated environment. The impact of minimum output bids on the market result is analyzed. A criterion with regard to minimum output bid to assess the outcome of competition among suppliers is derived. The method to optimize the benefit from a supplier's viewpoint by adjusting the bids for the minimum output and price is proposed. It is shown that an individual supplier can optimize its own benefit by fine-tuning its minimum output and price when there are only a few suppliers dominating the market. A fairly thorough theoretical analysis of the bidding for minimum output is illustrated with a numerical example.
引用
收藏
页码:813 / 818
页数:6
相关论文
共 50 条
  • [31] Impact of Long-Term Transactions on Strategic Bidding in the Electricity Market
    Ji, Tianyao
    Yang, Yueyong
    Jing, Zhaoxia
    CSEE JOURNAL OF POWER AND ENERGY SYSTEMS, 2023, 9 (06): : 2090 - 2098
  • [32] Conjectural variation based learning model of strategic bidding in spot market
    Song, YQ
    Ni, YX
    Wen, FS
    Wu, FF
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2004, 26 (10) : 797 - 804
  • [33] Two-Stage Stochastic Optimization for the Strategic Bidding of a Generation Company Considering Wind Power Uncertainty
    De, Gejirifu
    Tan, Zhongfu
    Li, Menglu
    Huang, Liling
    Song, Xueying
    ENERGIES, 2018, 11 (12)
  • [34] The Day-Ahead Bidding Strategy of Virtual Power Plant for Participating in Electric Energy Market and Peak Regulation Market
    Fan, Xuanxuan
    Zhang, Lianyiong
    Sun, Hui
    Hu, Shubo
    Sun, Changhai
    Zhu, Baohang
    2022 4TH ASIA ENERGY AND ELECTRICAL ENGINEERING SYMPOSIUM (AEEES 2022), 2022, : 242 - 247
  • [35] Application of Q-learning with temperature variation for bidding strategies in market based power systems
    Naghibi-Sistani, MB
    Akbarzadeh-Tootoonchi, MR
    Bayaz, MHJD
    Rajabi-Mashhadi, H
    ENERGY CONVERSION AND MANAGEMENT, 2006, 47 (11-12) : 1529 - 1538
  • [36] Selective Learning for Strategic Bidding in Uniform Pricing Electricity Spot Market
    Yang, Yueyong
    Ji, Tianyao
    Jing, Zhaoxia
    CSEE JOURNAL OF POWER AND ENERGY SYSTEMS, 2021, 7 (06): : 1334 - 1344
  • [37] Competitive power market mechanism design based on the designing economic mechanisms theory
    Yunnan Electric Power Test and Research Institute Co., Ltd., Electric Power Research Institute, Kunming 650217, Yunnan Province, China
    不详
    Ying, L. (LMYing@whu.edu.cn), 1709, Chinese Society for Electrical Engineering (34): : 1709 - 1716
  • [38] Economic Load and Reserve Dispatch and Emission with Frequency Constraints in Competitive Power Market
    Hooshmand, Rahmat Allah
    Banejad, Mahdi
    Mohammadi, Abdolhamid Haj
    2008 5TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ELECTRICITY MARKET, VOLS 1 AND 2, 2008, : 713 - +
  • [39] Emission and Economic Load & Reserve Dispatch with Frequency Constraints in Competitive Power Market
    Hooshmand, R.
    Mohammadi, A. Haj
    INTERNATIONAL REVIEW OF ELECTRICAL ENGINEERING-IREE, 2008, 3 (04): : 682 - 690
  • [40] Residual demand models for strategic bidding in European power exchanges: Revisiting the methodology in the presence of a large penetration of renewables
    Vazquez, Samuel
    Rodilla, Pablo
    Batlle, Carlos
    ELECTRIC POWER SYSTEMS RESEARCH, 2014, 108 : 178 - 184