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Spatial and temporal assessments of complementarity for renewable energy resources in China

机译:中国可再生能源资源互补性的时空评估

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摘要

More wind and solar power will be integrated into future power systems in China. Assessing the complementarity of wind and solar resources helps to mitigate the fluctuation of renewable power output effectively. This study comprehensively assesses the complementarity of wind and solar resources over China based on MERRA-2 reanalysis dataset. The results show that the complementarity between two resources and that between different regions for a single resource are significantly affected by the time scales. The complementarity between wind and PV power plants is superior to that between wind or solar power plants in different regions. Furthermore, the complementarity between wind and PV power can be further improved by dispersing the locations of wind farms, especially when the PV power is significantly positively correlated with wind power at the same location. However, dispersing the locations of PV plants may not work since the diurnal and seasonal solar radiation are highly similar in different regions. Extreme value analysis is employed to assess the benefits obtained from the wind-solar complementarity. The duration of no power output and the hourly negative fluctuation in power output are significantly reduced due to the complementarity. (C) 2019 Elsevier Ltd. All rights reserved.
机译:更多风能和太阳能将被整合到中国未来的电力系统中。评估风能和太阳能资源的互补性有助于有效减轻可再生能源输出的波动。本研究基于MERRA-2再分析数据集全面评估了中国风能和太阳能资源的互补性。结果表明,时间尺度显着影响两种资源之间的互补性以及单个资源在不同区域之间的互补性。风能和光伏电站之间的互补性优于不同地区的风能或太阳能电站之间的互补性。此外,通过分散风电场的位置,可以进一步改善风能和光伏发电之间的互补性,尤其是当光伏发电与同一位置的风力显着正相关时。但是,分散光伏电站的位置可能不起作用,因为不同地区的日照和季节性太阳辐射高度相似。极值分析用于评估从风光互补性获得的收益。由于互补性,无动力输出的持续时间和每小时的动力输出负波动得以显着减少。 (C)2019 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Energy》 |2019年第15期|262-275|共14页
  • 作者单位

    Harbin Inst Technol, Sch Energy Sci & Engn, Harbin, Heilongjiang, Peoples R China;

    Harbin Inst Technol, Fundamental Space Sci Res Ctr, Harbin, Heilongjiang, Peoples R China|Univ Hong Kong, Dept Elect & Elect Engn, Hong Kong, Peoples R China;

    Harbin Inst Technol, Sch Energy Sci & Engn, Harbin, Heilongjiang, Peoples R China;

    Harbin Inst Technol, Sch Energy Sci & Engn, Harbin, Heilongjiang, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Complementarity; Kendall's correlation coefficient; Wind resource; Solar resource; MERRA-2 reanalysis dataset;

    机译:互补;肯德尔相关系数;风资源;太阳能;MERRA-2再分析数据集;

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