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Power ramp rates and variability of individual and aggregate photovoltaic systems using measured production data at the municipal scale

机译:在市政量表中使用测量的生产数据的单个和聚集光伏系统的功率斜坡速度和可变性

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摘要

Intermittency from photovoltaic systems can negatively impact electricity grid stability due to increased power ramp rates and temporal misalignment between generation and load. Distributed systems, especially rooftop residential systems, present a range of orientations and spatial separation that when aggregated introduce temporal diversity. If these features reduce negative impacts, they should be weighed against increased costs per delivered energy compared to larger commercial/industrial systems. We compare power production data from 60 distributed residential PV systems spread across a large municipality with medium and large commercial rooftop systems located centrally in the municipality. Power ramp rates and power output variability were calculated. The aggregated distributed residential system ramp rates never exceed 13% per 5 min, while the medium/large commercial systems experienced ramp rates up to 61% and 68% per 5 min. In aggregate the residential output variability is 3 times lower than the commercial sites. Consistent with previous literature the output variability decreases as the number of systems grows. There are however diminishing returns due to the limited geographic area, with a relative output variability for the municipality approaching 20% of the variability of a single system. Residential data was scaled up to represent 10% of electrical load and resulted in 10% more electricity grid ramp rates exceeding +/- 5 MW per 5 min compared to baseline. Finally, a comparison between pyranometer and photovoltaic system ramps rates shows the latter are less severe, likely because pyranometers are single points sources.
机译:来自光伏系统的间歇性可能会产生负面影响电网稳定性,由于增加的功率斜率和发电和负载之间的时间未对准。分布式系统,尤其是屋顶住宅系统,呈现一系列方向和空间分离,当聚合引入时间分集时。如果这些特征减少了负面影响,与较大的商业/工业系统相比,它们应该重量增加每次发出能量的成本。我们比较来自60个分布式住宅光伏系统的电力生产数据,跨越大型市中心的大型商业屋顶系统,位于市中心。计算功率斜率和功率输出变异性。聚合的分布式住宅系统斜坡率从未超过每5分钟的13%,而媒体/大型商业系统经历坡度率高达61%和每5分钟68%。在聚合中,住宅输出可变性比商业站点低3倍。随着先前的文献一致,随着系统数量的增长,输出可变性降低。然而,由于地理区域有限的回报率递减,为市政府接近单个系统可变性的20%的相对输出变化。将住宅数据缩放为代表电荷的10%,导致每5分钟超过每5分钟的电网斜坡率超过基线的10%。最后,比山仪和光伏系统斜坡率的比较显示后者的严重严重,可能是因为粘膜计是单点源。

著录项

  • 来源
    《Solar Energy》 |2021年第5期|363-370|共8页
  • 作者单位

    Dalhousie Univ Renewable Energy Storage Lab 1360 Barrington St POB 15000 Halifax NS B3H 4R2 Canada;

    Dalhousie Univ Renewable Energy Storage Lab 1360 Barrington St POB 15000 Halifax NS B3H 4R2 Canada;

    Dalhousie Univ Renewable Energy Storage Lab 1360 Barrington St POB 15000 Halifax NS B3H 4R2 Canada;

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

    Distributed; Commercial; Residential; Photovoltaic; Power ramp rate; Electricity grid;

    机译:分布式;商业;住宅;光伏;功率斜率;电网;

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