Solar and PV forecasting for large PV power plants using numerical weather models, satellite data and ground measurements

被引：0

作者：

Holland, Nicolas ^{[1
]}

Pang, Xiulan ^{[2
]}

Herzberg, Wiebke ^{[1
]}

Karalus, Steffen ^{[1
]}

Bor, Jefferson ^{[1
]}

Lorenz, Elke ^{[1
]}

机构：

[1] Fraunhofer Inst Solar Energy Syst ISE, D-79110 Freiburg, Germany

[2] SPIC Huanghe Hydropower Dev Co LTD HHDC, Shanghai, Peoples R China

来源：

2019 IEEE 46TH PHOTOVOLTAIC SPECIALISTS CONFERENCE (PVSC) | 2019年

关键词：

Solar resource; solar power forecasting; global horizontal irradiance;

D O I：

10.1109/pvsc40753.2019.8980496

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：

We develop a system for real time forecasting of solar irradiance and PV power for large power plants (> 500MW). Our forecast system is designed to combine numerical weather prediction models with both irradiance and power measurements as well as satellite based irradiance forecasts. Irradiance forecasts are processed with PV simulations to compute PV power forecasts for different sub-plants. Challenges that are typical for large power plants are taken into consideration. We evaluate irradiance forecasts for a site in China and irradiance and PV power forecasts for a PV power plant in Germany.

引用

页码：1609 / 1614

页数：6

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