Analysis of the Effect of Different Time Resolutions Between Day-Ahead and Real-Time Markets on Offer Strategies of Wind Power Producers

被引:0
作者
Hunyoung Shin
Jong-Bae Park
Jae Hyung Roh
机构
[1] Hongik University,Department of Electronics and Electrical Engineering
[2] Konkuk University,Department of Electrical and Electronics Engineering
来源
Journal of Electrical Engineering & Technology | 2023年 / 18卷
关键词
Wind power offer; Electricity markets; Market resolutions; Two-settlement market;
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中图分类号
学科分类号
摘要
The wholesale electricity market in the United States have a two-settlement structure, with a day-ahead (DA) market and a real-time (RT) market. The purpose of this study is to investigate how the different temporal resolutions of these markets affect the profit and offer decisions of wind power producers (WPPs). We have found that WPP can accurately assess expected returns and build advanced proposal curves that allow for higher expected returns by taking differences in time resolution into account. In the numerical example employing ERCOT data samples, such an increase in return is calculated as up to 1.6%. Moreover, it has been shown that the shape of offer curves are quite different depending on a time resolution used to produce the curves. However, in order to obtain these benefits, WPP must forecast wind and market prices with resolutions finer than an hour, which may entail increased forecast error variance and overfitting issues.
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页码:1481 / 1492
页数:11
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  • [11] Poolla K(2011)A new self-scheduling strategy for integrated operation of wind and pumped-storage power plants in power markets Appl Energy 88 5002-5012
  • [12] Varaiya P(2016)Operational strategies for a portfolio of wind farms and chp plants in a two-price balancing market IEEE Trans Power Syst 31 2182-2191
  • [13] Shin H(2021)A modified intra-day market to trade updated forecast information for wind power integration IEEE Trans Sustain Energy 12 1044-1059
  • [14] Lee D(2018)Mitigating market risk for wind power providers via financial risk exchange Energy Econ 71 344-358
  • [15] Baldick R(2019)Offer curve generation for the energy storage system as a member of the virtual power plant in the day-ahead market J Electr Eng Technol 14 2277-2287
  • [16] Matevosyan J(2022)An improved african vulture optimization for biding strategy of two-settlement market in china J Electr Eng Technol 42 57-68
  • [17] Söder L(2022)Fairness-based bidding model for renewable portfolio standard policy in south korea standard policy in south korea J Electr Eng Technol 14 1823-1829
  • [18] Zugno M(2018)Bivariate probabilistic wind power and real-time price forecasting and their applications to wind power bidding strategy development IEEE Trans Power Syst 16 697-710
  • [19] Morales JM(1991)Newsboy-style results for multi-echelon inventory problems: backorders optimization with intermediate delays J Oper Res Soc 16 2333-2342
  • [20] Pinson P(2019)Wind power forecasting based on ensemble empirical mode decomposition with generalized regression neural network based on cross-validated method J Electr Eng Technol 17 1009-1018