Spatial power fluctuation correlations in urban rooftop photovoltaic systems
Spatial power fluctuation correlations in urban rooftop photovoltaic systems
复制标题
城市屋顶光伏系统的空间功率波动相关性
DOI：
10.1002/pip.2539
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
W. Sark
中科院分区：
文献类型：
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作者：
B. Elsinga;W. Sark
在本文中，我们调查的空间依赖性的变化，在人口稠密的城市地区（100 km 2）在荷兰乌得勒支和周围的小型住宅太阳能光伏（PV）系统的功率输出。对这种随机间隔的光伏系统集合的地质统计行为的研究是对紧凑型规则间隔MW级光伏电站领域其他研究的补充。光伏系统之间的功率输出波动相关到一定的去相关长度。在指数模型中达到去相关（在1 − e−3 <$95%内），空间尺度范围从100 m到大约100 m。15 km，时间序列的测量时间步长分别为1、5和15 min时，平均值分别为0.34（±0.2）、2.6（±0.3）和5.0（±0.5）km。这些长度尺度对于城市环境是典型的，并且对于减少光伏系统的总输出变化的变化是重要的。此外，发现与距离无关的变异性本身仍然严格线性依赖于每日平均变异值。这是对系统间斜坡速率相关性在比特征去相关长度更长的距离上的去相关的良好验证。版权所有© 2014约翰威利父子有限公司.
In this paper, we investigate the spatial dependence of variations in power output of small residential solar photovoltaic (PV) systems in a densely populated urban area (≈100km2) in and around Utrecht, the Netherlands. Research into the geo‐statistical behavior of this kind of randomly spaced collection of PV systems is complementary to other studies in the field of compact regularly spaced MW‐scale PV plants. Fluctuations in power output between PV systems are correlated up to a certain decorrelation length. Decorrelation is reached (within 1 − e−3≈95%) in an exponential model and the spatial scale ranges from 100 m to approx. 15 km, with a mean value 0.34(±0.2), 2.6(±0.3), and 5.0(±0.5) km for measurement time step of the time series of respectively 1, 5, and 15 min. These length scales are typical for an urban environment and is important for reduction of variability in aggregated output variability of PV systems. Furthermore, the distance‐independent variability still itself was found to be strictly linearly dependent on daily mean variability values. This is a good validation of the decorrelation of inter‐system ramp rate correlation over distances longer than the characteristic decorrelation length. Copyright © 2014 John Wiley & Sons, Ltd.