TY - GEN
T1 - Cloud Motion Forecasting and Cloud Base Height Estimation Using Two Low-Cost Sky Cameras
AU - Zhang, Can
AU - Du, Yang
AU - Chen, Xiaoyang
AU - Lim, Eng Gee
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/19
Y1 - 2018/12/19
N2 - Passing cloud results in rapid irradiance changes. The intermittency of PV output power has drawn serious concern as the PV system installation increases. Consequently, power ramp-rate control (PRRC) is introduced as the regulation to limit significant power fluctuations. These requirements are driving an increasing demand for ultra short-term PV power forecasting. Sky imager has been used as an effective tool to predict the cloud motion, then to forecast the PV power. However, the high cost of sky imager system and low update frequency are still hindering its application in PRRC. The estimation of cloud base height (CBH) is also a challenging using sky imager. In this paper, a low-cost cloud motion tracking system has been developed. Ultra short-term cloud motion forecasting has been achieved in seconds level which can be used in PRRC application. The proposed cloud tracking method improves the forecasting accuracy by multiple cloud centroid tracking. Secondly, a novel sky camera based CBH estimation method is proposed. The effectiveness of the proposed CBH estimation method has been verified by experiment results.
AB - Passing cloud results in rapid irradiance changes. The intermittency of PV output power has drawn serious concern as the PV system installation increases. Consequently, power ramp-rate control (PRRC) is introduced as the regulation to limit significant power fluctuations. These requirements are driving an increasing demand for ultra short-term PV power forecasting. Sky imager has been used as an effective tool to predict the cloud motion, then to forecast the PV power. However, the high cost of sky imager system and low update frequency are still hindering its application in PRRC. The estimation of cloud base height (CBH) is also a challenging using sky imager. In this paper, a low-cost cloud motion tracking system has been developed. Ultra short-term cloud motion forecasting has been achieved in seconds level which can be used in PRRC application. The proposed cloud tracking method improves the forecasting accuracy by multiple cloud centroid tracking. Secondly, a novel sky camera based CBH estimation method is proposed. The effectiveness of the proposed CBH estimation method has been verified by experiment results.
KW - cloud base height estimation
KW - cloud motion vector tracking
KW - solar power ramp-rate control
KW - ultra short-time forecasting
UR - http://www.scopus.com/inward/record.url?scp=85060884422&partnerID=8YFLogxK
U2 - 10.1109/EI2.2018.8582657
DO - 10.1109/EI2.2018.8582657
M3 - Conference Proceeding
AN - SCOPUS:85060884422
T3 - 2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings
BT - 2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018
Y2 - 20 October 2018 through 22 October 2018
ER -
