A Game-Theoretic Analysis of Wind Power Generator Bidding Strategies in Electricity Markets

被引：0

作者：

Xia, Yu ^{[1
]}

Chow, Joe H. ^{[1
]}

Marwali, Muhammad K. ^{[2
]}

机构：

[1] Rensselaer Polytech Inst, Troy, NY 12180 USA

[2] New York ISO, Rensselaer, NY 13699 USA

来源：

2017 IEEE POWER & ENERGY SOCIETY GENERAL MEETING | 2017年

关键词：

Electricity markets; Nash equilibrium; optimal bidding strategies; stochastic optimization; wind power;

D O I：

暂无

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：

In this paper, we investigate optimal wind power generator (WPG) bidding strategies in electricity markets. Assuming the cost of wind power generation is zero, WPG would maximize its profit by determining the optimal amount of wind power to hid in the day-ahead market (DAM). Significant wind penetration is considered in our problems such that WPG's actions will affect energy prices. In addition, the existence of WPG's optimal bidding strategies in both cooperative games and non-cooperative games is shown. The proposed stochastic optimization models consist of the DA energy market clearing, the real-titne (RT) energy market clearing, and WPG's profit maximization. The models also take into account the uncertainty of wind power production. The models have been tested on a system with 10 conventional generators and 2 wind power generators. The effect of wind power forecast errors is also discussed.

引用

页数：5

共 3 条

[1] Wind Power Trading Under Uncertainty in LMP Markets [J].