TY - GEN
T1 - Cloud motion tracking system using low-cost sky imager for PV power ramp-rate control
AU - Zhang, Can
AU - Du, Yang
AU - Chen, Xiaoyang
AU - Lu, Dylan Dah Chuan
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/4/25
Y1 - 2018/4/25
N2 - Passing cloud results in rapid changes in solar irradiance. The intermittency of PV power output has drawn serious concern as the PV system installation increases significantly. Consequently, power ramp-rate control (PRRC) is introduced as the regulation to avoid significant power fluctuations. These requirements are driving an increasing demand for 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 long image processing delay are still hindering its application in PRRC. In this paper, a low-cost cloud motion tracking system has been designed and developed. Ultra short-term cloud motion forecasting has been achieved in sub-minute level which can be used in PRRC application. The proposed method improves the forecasting accuracy by multiple cloud centroids tracking. The effectiveness of the proposed method has been verified by the practical experiment results.
AB - Passing cloud results in rapid changes in solar irradiance. The intermittency of PV power output has drawn serious concern as the PV system installation increases significantly. Consequently, power ramp-rate control (PRRC) is introduced as the regulation to avoid significant power fluctuations. These requirements are driving an increasing demand for 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 long image processing delay are still hindering its application in PRRC. In this paper, a low-cost cloud motion tracking system has been designed and developed. Ultra short-term cloud motion forecasting has been achieved in sub-minute level which can be used in PRRC application. The proposed method improves the forecasting accuracy by multiple cloud centroids tracking. The effectiveness of the proposed method has been verified by the practical experiment results.
UR - http://www.scopus.com/inward/record.url?scp=85048804884&partnerID=8YFLogxK
U2 - 10.1109/IESES.2018.8349927
DO - 10.1109/IESES.2018.8349927
M3 - Conference Proceeding
AN - SCOPUS:85048804884
T3 - Proceedings - 2018 IEEE International Conference on Industrial Electronics for Sustainable Energy Systems, IESES 2018
SP - 493
EP - 498
BT - Proceedings - 2018 IEEE International Conference on Industrial Electronics for Sustainable Energy Systems, IESES 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st IEEE International Conference on Industrial Electronics for Sustainable Energy Systems, IESES 2018
Y2 - 30 January 2018 through 2 February 2018
ER -