德克萨斯州风电开发对日前和实时电力市场价格的区域优序效应

J. Zarnikau, C. Woo, Shuangshuang Zhu
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引用次数: 9

摘要

本文采用基于回归的方法探讨风力发电发展对德克萨斯州电力可靠性委员会(ERCOT)市场批发电价的影响。我们发现风力发电发展对实时市场(RTM)价格的影响大于日前市场(DAM)价格。较高的风力发电预测误差往往会降低RTM价格,主要是因为风力发电的意外增加减少了化石燃料发电厂提供的实时净负荷。提高ERCOT的负荷和风力发电预测精度,往往会使DAM和RTM价格趋于一致,从而提高ERCOT的市场交易效率。最后,在风力发电能力所在的ERCOT区域,估计的效益顺序效应最大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Zonal Merit-Order Effects of Wind Generation Development on Day-Ahead and Real-Time Electricity Market Prices in Texas
This paper uses a regression-based approach to explore the impact of wind generation development on wholesale electricity prices in the Electric Reliability Council of Texas (ERCOT) market. We find that wind generation development has a greater effect on real-time market (RTM) prices than day-ahead market (DAM) prices. Higher wind generation forecast errors tend to reduce the RTM prices, chiefly because unanticipated increases in wind generation reduce the real-time net loads to be served by fossil fuel power plants. Improving ERCOT’s load and wind generation forecast accuracy tends to make the DAM and RTM prices converge, thus enhancing ERCOT’s market trading efficiency. Finally, the estimated merit-order effects are greatest in the ERCOT zones where the wind generation capacity locally resides.
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