Dynamic bidding analysis in power market based on the supply function

被引:7
|
作者
Lai, Mingyong [2 ]
Tong, Xiaojiao [1 ]
Yang, Hongming [3 ]
Bing, Pingping [1 ]
机构
[1] Changsha Univ Sci & Technol, Coll Math & Comp Sci, Changsha 410076, Hunan, Peoples R China
[2] Hunan Univ, Coll Econ & Trade, Changsha 410079, Hunan, Peoples R China
[3] Changsha Univ Sci & Technol, Coll Elect & Informat Engn, Changsha 410076, Hunan, Peoples R China
基金
中国国家自然科学基金;
关键词
Power market; Dynamic bidding model; Nash equilibrium; Different dynamic system; Stability; STRATEGIES;
D O I
10.1016/j.camwa.2008.09.035
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper presents a dynamic bidding model of the power market based on the Nash equilibrium and a supply function. The new model is composed of different dynamic systems and semismooth equations by means of the nonlinear complementarity method. Comparing with those existing bidding models, the remarkable characteristic of the new model is twofold: First, it adopts a dynamic bid so that the bidding limit point is the Nash equilibrium point of the market; Second, it considers the system requirement and the market property such as involving the transmission constraints in the network, and using a supply function which is suitable for the oligopolistic competitive power market. All of these imply that the new model is very close to the practical power market. The computation of the dynamic model is discussed by using the semismooth theory. A numerical simulation is presented to test the model behaviors in the uncogestion and the congestion cases, respectively. The numerical tests include the computing behavior of the dynamic model to reach Nash equilibrium points, the influence of the adjusted parameters and the system parameters to the Nash equilibrium, the local stability of the model, and the comparison of simulation effect between the proposed model and the Cournot model. The simulations show that the new bidding model is valid. (C) 2009 Published by Elsevier Ltd
引用
收藏
页码:25 / 38
页数:14
相关论文
共 50 条
  • [1] A dynamic bidding model of power markets based on the supply function approach
    Tong, Xiaojiao
    Yang, Hongming
    Bing, Ping-Ping
    2006 3RD INTERNATIONAL CONFERENCE ON ELECTRICAL AND ELECTRONICS ENGINEERING, 2006, : 144 - +
  • [2] Market Power Mitigation in Two-Stage Electricity Markets With Supply Function and Quantity Bidding
    Bansal, Rajni Kant
    Chen, Yue
    You, Pengcheng
    Mallada, Enrique
    IEEE Transactions on Energy Markets, Policy and Regulation, 2023, 1 (04): : 512 - 522
  • [3] Risk analysis of power bidding market based on extreme value theory
    Zhang, Xinhua
    Lai, Mingyong
    2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31, 2008, : 10769 - 10772
  • [4] Delayed Dynamic Model for Electric Power Bidding in Oligopoly Market
    Zhang, Xinhua
    Chen, Feng
    2009 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), VOLS 1-7, 2009, : 1687 - 1690
  • [5] Bidding Learning Model and Its Analysis in Oligopoly Power Market with Linear Demand Function
    Zhang, Xinhua
    Li, Wenjuan
    2010 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2010,
  • [6] Equilibrium Analysis of Electricity Market with Wind Power Bidding and Demand Response Bidding
    Zhang, Kai
    Wang, Xian
    Zhang, Shaohua
    ADVANCED COMPUTATIONAL METHODS IN ENERGY, POWER, ELECTRIC VEHICLES, AND THEIR INTEGRATION, LSMS 2017, PT 3, 2017, 763 : 111 - 125
  • [7] Simulation, analysis and comparison of block bidding power market
    Geng, Jian
    Wang, Xifan
    Chen, Haoyong
    Zhang, Xian
    Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2003, 37 (10): : 1043 - 1047
  • [8] Simulating a Global Dynamic Supply Chain as a Market of Agents with Adaptive Bidding Strategies
    Bas, Gerben
    Van der Lei, Telli
    CHEMIE INGENIEUR TECHNIK, 2015, 87 (09) : 1230 - 1239
  • [9] An artificial immune algorithm based on bidding of power market
    Li, MJ
    Tang, Z
    POWERCON 2002: INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY, VOLS 1-4, PROCEEDINGS, 2002, : 2405 - 2408
  • [10] Market Power Analysis in the Italian Electricity Market using a Supply Function Equilibrium Model
    Abeygunawardana, A. M. A. K.
    Bovo, C.
    Berizzi, A.
    UPEC: 2009 44TH INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE, 2009, : 221 - 225