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Sunny windy Sundays

机译:阳光明媚的大风星期天

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摘要

Rapid expansion of wind and solar capacity in Great Britain presents challenges for managing electricity systems. One concern is the reduction in system inertia during periods where renewables provide a high proportion of demand which has led to some networks imposing system non-synchronous penetration limits. However, given the lack of operational data, the relationship between renewable generation and demand for the full range of meteorological conditions experienced in Great Britain is poorly understood. This study uses reanalysis datasets to determine the proportion of demand from renewable generation on an hourly resolution for a 36-year period.The days with highest penetration of renewables tend to be sunny, windy weekend days between May and September, when there is a significant contribution of both wind and solar generation and demand is suppressed due to human behaviour. Based on the current distribution of wind and solar capacity, there is very little curtailment for all system non-synchronous penetration limits considered. However, as installed capacity of renewables grows the volume of generation curtailed also increases with a disproportionate volume occurring at weekends. The total volume of curtailment is highly dependent on ratio of wind and solar capacity, with the current blend close to the optimum level. (C) 2019 Elsevier Ltd. All rights reserved.
机译:英国的风能和太阳能容量的快速扩张给电力系统管理提出了挑战。一个令人关注的问题是在可再生能源提供大量需求的时期内系统惯性的降低,这导致某些网络施加了系统非同步渗透限制。但是,由于缺乏运营数据,人们对可再生能源发电与英国经历的各种气象条件的需求之间的关系知之甚少。这项研究使用重新分析数据集来确定以36年为一小时的小时分辨率计算可再生能源发电需求的比例。可再生能源普及率最高的日子通常是5月至9月的晴天,多风的周末。由于人类的行为,风能和太阳能发电和需求的贡献均受到抑制。根据当前的风能和太阳能容量分布,对所有考虑的系统非同步渗透限值的削减很少。但是,随着可再生能源装机容量的增长,减少的发电量也随之增加,周末的发电量不成比例。削减的总量在很大程度上取决于风能和太阳能的比例,目前的混合能源接近最佳水平。 (C)2019 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Renewable energy》 |2019年第8期|870-875|共6页
  • 作者单位

    Univ Reading, Dept Meteorol, Reading, Berks, England;

    Univ Reading, Sch Construct Management & Engn, Reading, Berks, England;

    Univ Reading, Dept Meteorol, Reading, Berks, England|Univ Reading, Dept Meteorol, Natl Ctr Atmospher Sci, Reading, Berks, England;

    Univ Reading, Dept Meteorol, Reading, Berks, England|Univ Reading, Dept Meteorol, Natl Ctr Atmospher Sci, Reading, Berks, England;

    Univ Reading, Dept Meteorol, Reading, Berks, England;

    Natl Grid, London, England;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Wind; Solar; Demand; Curtailment; Reanalysis;

    机译:风;太阳能;需求;购买;再分析;

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