Cloud motion vectors from a network of ground sensors in a solar power plant

被引：73

作者：

Bosch, J. L. ^{[1
]}

Kleissl, J. ^{[1
]}

机构：

[1] Univ Calif San Diego, Dept Mech & Aerosp Engn, Ctr Renewable Resources & Integrat, La Jolla, CA 92093 USA

来源：

SOLAR ENERGY | 2013年 / 95卷

关键词：

Solar forecasting; Solar radiation; Cloud motion detection; RADIATION;

D O I：

10.1016/j.solener.2013.05.027

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Clouds are the dominant source of PV power output variability and their velocity is a principal input to most short-term forecast models. A new method for deriving cloud speed from data collected at a triplet of sensors at arbitrary positions is presented; cloud speed and the angle of the cloud front are determined from the time delays in two cloud front arrivals at the sensors. Five reference cells at the 48 MW PV plant at Henderson (NV), were used to provide two different triplets of sensors. Over a year of operation cloud speeds from 3 to 35 m s(-1) were obtained. Cloud speeds are validated using cross-correlation of power output from 96 inverters at the plant. Overall bias errors were less than 1% and the overall annual RMSE was 20.9%, but results varied with season. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：13 / 20

页数：8

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