Optimization-based bidding strategies for deregulated electric power markets

被引:0
作者
Guan, XH [1 ]
Ni, E [1 ]
Luh, PB [1 ]
Ho, YC [1 ]
机构
[1] Harvard Univ, Cambridge, MA 02138 USA
来源
NEXT GENERATION OF ELECTRIC POWER UNIT COMMITMENT MODELS | 2001年 / 36卷
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暂无
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
Deregulation of the electric power industry worldwide raises many challenging issues. Aiming at these challenging issues and using California and New England power markets as background, this chapter focuses on the methodologies for integrated generation scheduling and bidding strategies for deregulated electric power markets. We present a systematic bid selection method based on ordinal optimization for obtaining "good enough" bidding strategies for generation suppliers. A stochastic optimization method for integrated bidding and scheduling is developed with consideration of risk management, self-scheduling requirements, and the interaction between different markets.
引用
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页码:249 / 270
页数:22
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