分析和模拟了日本太田市和科罗拉多州阿拉莫萨由于地理平滑而减少的光伏电站可变性

M. Lave, J. Stein, A. Ellis
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引用次数: 11

摘要

日本的太田市和科罗拉多州的阿拉莫萨展示了小型屋顶分布式光伏电站和大型中央光伏电站的对比案例。我们检验了地理平滑对每个电厂输出功率的影响。与单点传感器相比,1秒相对最大斜坡速率减少了6-10倍,尽管在更长的时间尺度上可以看到较小的减少。当额外的房屋或逆变器加在一起时,发现相对变率在所有时间尺度上呈指数衰减。腐烂的速度取决于植物内部的地理多样性和某一天的气象条件(如云速)。小波变率模型(WVM)考虑了这些地理平滑效应,以点传感器作为输入产生模拟的光伏电站输出。WVM对Ota City和Alamosa进行了测试,WVM模拟与实际功率输出的斜坡率分布非常匹配。
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Analyzing and simulating the reduction in PV powerplant variability due to geographic smoothing in Ota City, Japan and Alamosa, CO
Ota City, Japan and Alamosa, Colorado present contrasting cases of a small rooftop distributed PV plant versus a large central PV plant. We examine the effect of geographic smoothing on the power output of each plant. 1-second relative maximum ramp rates are found to be reduced 6–10 times for the total plant output versus a single point sensor, though smaller reductions are seen at longer timescales. The relative variability is found to decay exponentially at all timescales as additional houses or inverters are aggregated. The rate of decay depends on both the geographic diversity within the plant and the meteorological conditions (such as cloud speed) on a given day. The Wavelet Variability Model (WVM) takes into account these geographic smoothing effects to produce simulated PV powerplant output by using a point sensor as input. The WVM is tested against Ota City and Alamosa, and the WVM simulation closely matches the distribution of ramp rates of actual power output.
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