A Study on the Scheduling of Large-Scaled PV Power Station Output based on Solar Radiation Forecast

2009 ◽  
Vol 129 (12) ◽  
pp. 1514-1521 ◽  
Author(s):  
Satoshi Takayama ◽  
Yuji Iwasaka ◽  
Ryoichi Hara ◽  
Hiroyuki Kita ◽  
Takamitsu Ito ◽  
...  
Keyword(s):  
Solar Radiation ◽  
Power Station

scholarly journals Investigations of dynamic characteristics of a tall industrial chimney due to light wind and solar radiation

2013 ◽  
Vol 12 (2) ◽  
pp. 087-094 ◽  
Author(s):  
Peter Breuer ◽  
Tadeusz Chmielewski ◽  
Piotr Górski ◽  
Eduard Konopka ◽  
Lesław Tarczyński
Keyword(s):  
Solar Radiation ◽  
Dynamic Characteristics ◽  
Field Tests ◽  
Power Station ◽  
Temperature Variations ◽  
Response Characteristics ◽  
Modal Damping ◽  
Wind Response ◽  
Satellite Signal ◽  
Air Temperature Variations

The present paper describes field tests conducted on the 300 m tall industrial chimney, located in the power station of Bełchatów (Poland), where the GPS rover receivers were installed at three various levels. The objectives of these GPS tests were to investigate the deformed vertical profile of this chimney, and its dynamic characteristics, i.e. the first natural frequency and the modal damping ratios. The results for the satellite signal receptions, the synopsis of recorded baselines and their ambiguity solutions, drifts of the chimney due to solar radiation and air temperature variations and dynamic wind response characteristics are presented.

Scheduled Operation of PV Power Station Considering Solar Radiation Forecast Error

2011 ◽  
Vol 131 (3) ◽  
pp. 304-312 ◽  
Author(s):  
Satoshi Takayama ◽  
Ryoichi Hara ◽  
Hiroyuki Kita ◽  
Takamitsu Ito ◽  
Yoshinobu Ueda ◽  
...  
Keyword(s):  
Solar Radiation ◽  
Forecast Error ◽  
Power Station

A Power Prediction Method for Photovoltaic Power Station Based on Neutral Network Using Numerical Weather Information

2013 ◽  
Vol 724-725 ◽  
pp. 3-9 ◽  
Author(s):  
Hong Lu Zhu ◽  
Jian Xi Yao
Keyword(s):  
Neural Network ◽  
Solar Radiation ◽  
Prediction Model ◽  
Prediction Method ◽  
Weather Forecast ◽  
Power Prediction ◽  
Power Station ◽  
Numerical Weather ◽  
Photovoltaic Power ◽  
Solar Radiation Intensity

As the installed capacity of photovoltaic power station is growing, the power prediction techonology is of great important to reduce the random damage to the power system. A prediction model using neural network is proposed in the paper, the solar radiation model is adopt to ensure the accuracy of the prediction results in clear sky contions.Through the analysis of photovoltaic power station output power influence factors, the the solar radiation intensity, humidity and temperature are chosen as the input of the neural network prediction model.At the same time, in order to improve accuracy the photovoltaic power station power prediction model, the power adopt numerical weather forecast information. And the prediction model is tested by the photovoltaic power station historical operation data, and the short-term power prediction has a good performance.

Report Details Solar Radiation Alert and Recommendations

Space Weather ◽  
2006 ◽  
Vol 4 (6) ◽  
pp. n/a-n/a ◽  
Author(s):  
Tracy Staedter
Keyword(s):  
Solar Radiation

The Large Power Station

1918 ◽  
Vol 86 (2229supp) ◽  
pp. 185-185
Keyword(s):  
Power Station ◽  
Large Power

Sootblowing as a key part of power-station efficiency

1990 ◽  
Vol 4 (2) ◽  
pp. 103
Author(s):  
Jim Stevenson
Keyword(s):  
Power Station
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