MCP Forecasting and Risk Considered Genco's Bidding Strategies in Electricity Market

被引:0
作者
Zhang, Haifeng [1 ]
Kang, Zhixi [1 ]
Wu, Jiang [1 ]
Gao, Feng [1 ]
机构
[1] Xi An Jiao Tong Univ, State Key Lab Mfg Syst Engn, Xian 710049, Shaanxi Provinc, Peoples R China
来源
2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA) | 2010年
关键词
electricity market; bidding strategies; genetic programming; risk;
D O I
10.1109/WCICA.2010.5555078
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
As one of the most important parts in power system, electricity price forecasting has been a crucial factor for the generation companies' (Genco) bidding strategies, through which Gencos can maximize their potential benefits. However, high income is always coupled with high risk, as electricity volatility, demand uncertainty, and bidding strategies of rivals. In this paper, a bidding strategy based on Market Clearing Price (MCP) forecasting and risk management theory is presented. A Genco's bidding behavior is modeled as a risky decision making process in which Genco aims to the higher profit with lower risk, and the bidding strategy for the Genco can be obtained by solving a risk-utility function. At the end of the paper, numerical testing results show that this method is effective.
引用
收藏
页码:3266 / 3270
页数:5
相关论文
共 12 条
[1]  
[Anonymous], 2003, Genetic programming IV: routine human-competitive machine intelligence
[2]   ARIMA models to predict next-day electricity prices [J].
Contreras, J ;
Espínola, R ;
Nogales, FJ ;
Conejo, AJ .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2003, 18 (03) :1014-1020
[3]   COMPETITIVE BIDDING IN ELECTRICITY SUPPLY [J].
DAVID, AK .
IEE PROCEEDINGS-C GENERATION TRANSMISSION AND DISTRIBUTION, 1993, 140 (05) :421-426
[4]  
DAVID AK, 2000, IEEE POW ENG SOC SUM
[5]   An ordinal optimization based bidding strategy for electric power suppliers in the daily energy market [J].
Guan, XH ;
Ho, YCL ;
Lai, F .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2001, 16 (04) :788-797
[6]  
Hong YY, 2001, 2001 IEEE POWER ENGINEERING SOCIETY WINTER MEETING, CONFERENCE PROCEEDINGS, VOLS 1-3, P539, DOI 10.1109/PESW.2001.916905
[7]  
HUO LM, 2007, P IEEE INT C MECH AU
[8]  
JU P, 2000, AUTOMATION ELECT POW, P35
[9]  
NIU H, 2005, IEEE T POWER SYSTEMS, V20
[10]  
SONG HL, 2002, IEEE T POWER SYSTEMS, V17