期刊文献+

计及输电线路约束的电力市场投标均衡点分析

Analysis of bidding equilibrium involving transmission constraints in power markets
下载PDF
导出
摘要 计及输电线路传输约束的电力市场投标模型可将市场参与者的决策空间分成阻塞和无阻塞2个区域.基于Nash均衡的数学定义和一类投标模型,通过分析市场参与者的最优响应曲线的交点确定市场均衡点状态,以3节点市场为例,分析发现在阻塞情况下,市场若存在均衡点,则均衡点位于阻塞和无阻塞的边界上,且均衡点分布为连续的一段线段.通过一类动态投标模型的数值仿真,计算结果与分析结论一致. The bidding model of Power Markets involving transmission constraints may divide participants' decision space into two different regions, congestion region and un - congestion region. Based on the mathematical Nash equilibrium definition and a type of bidding model, the property of equilibrium points is studied through the intersection of optimal response curves in different regions. As an example of 3 - buses, the analysis shows that in the case of system congestion, if there exists an equilibrium point, the point will lie at the boundary of congestion and un-congestion region. Moreover, the analysis shows that equilibrium points constitute a continuous region of line. By using a dynamic bidding model, the result of numerical simulations is identical to the analysis.
出处 《电力科学与技术学报》 CAS 2007年第1期25-30,共6页 Journal of Electric Power Science And Technology
基金 国家自然科学基金资助项目(60474070 70601003) 湖南省科技计划项目(06FJ3038)
关键词 电力市场 传输容量 供应函数 NASH均衡 存在性 power market transmission constraints supply function Nash equilibrium existence
  • 相关文献

参考文献8

二级参考文献84

  • 1袁智强,侯志俭,宋依群,蒋传文,邰能灵.考虑输电约束古诺模型的均衡分析[J].中国电机工程学报,2004,24(6):73-79. 被引量:31
  • 2周浩,康建伟,陈建华,包松.蒙特卡罗方法在电力市场短期金融风险评估中的应用[J].中国电机工程学报,2004,24(12):74-77. 被引量:92
  • 3[1]SHAHIDEHPOUR M, ALMOUSH M. Restructured Electrical Power Systems: Operation, Trading, and Volatility. New York (USA) : Marcel Dekker Inc, 2001.
  • 4[2]HAO S. A Study of Basic Bidding Strategy in Clearing Pricing Auctions. IEEE Trans on Power Systems, 2000, 15(8) : 975-980.
  • 5[3]SONG H, LIU C C, LAWARREE J et al. Optimal Electricity Supply Bidding by Markov Decision Process. IEEE Trans on Power Systems, 2000, 15(5): 618-624.
  • 6[4]WEN F, DAVID A K. Optimal Bidding Strategies and Modeling of Imperfect Information Among Competitive Generators. IEEE Trans on Power Systems, 2001, 16(2): 15-21.
  • 7[5]GUAN X, HO Y C, LAI F. An Ordinal Optimization Based Bidding Strategy for Electric Power Suppliers in the Daily Energy Market. IEEE Trans on Power Systems, 2001, 16(11):788-797.
  • 8[6]NI E, LUH P B, ROURKE S. Optimal Integrated Generation Bidding and Scheduling with Risk Management Under a Deregulated Power Market. IEEE Trans on Power Systems,2004, 19(1): 600-609.
  • 9[7]GOUNTIS V P, BAKIRTZIS A G. Bidding Strategies for Electricity Producers in a Competitive Electricity Marketplace.IEEE Trans on Power Systems, 2004, 19(1): 356-365.
  • 10[8]NOGALES F J, CONTRERAS J, CONEJO A J et al.Forecasting Next-day Electricity Prices by Time Series Models.IEEE Trans on Power Systems, 2002, 17(2): 342-348.

共引文献51

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部