Cloud motion tracking system using low-cost sky imager for PV power ramp-rate control

Zhang, Can, Du, Yang, Chen, Xiaoyang, and Lu, Dylan D.C. (2018) Cloud motion tracking system using low-cost sky imager for PV power ramp-rate control. In: Proceedings of the IEEE International Conference on Industrial Electronics for Sustainable Energy Systems. pp. 493-498. From: IESES 2018: IEEE International Conference on Industrial Electronics for Sustainable Energy Systems, 31 January - 2 February 2018, Hamilton, New Zealand.

[img] PDF (Published Version) - Published Version
Restricted to Repository staff only

View at Publisher Website: https://doi.org/10.1109/IESES.2018.83499...
 
1


Abstract

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.

Item ID: 58372
Item Type: Conference Item (Research - E1)
ISBN: 978-1-5090-4974-5
Funders: Xi’an Jiaotong- Liverpool University (XJ-LU), Jiangsu University (JU)
Projects and Grants: XJ-LU (RDF-15-01-40), JU (17KJB470012)
Date Deposited: 28 May 2019 02:52
FoR Codes: 09 ENGINEERING > 0906 Electrical and Electronic Engineering > 090608 Renewable Power and Energy Systems Engineering (excl Solar Cells) @ 40%
09 ENGINEERING > 0906 Electrical and Electronic Engineering > 090607 Power and Energy Systems Engineering (excl Renewable Power) @ 30%
08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080106 Image Processing @ 30%
SEO Codes: 85 ENERGY > 8505 Renewable Energy > 850504 Solar-Photovoltaic Energy @ 100%
Downloads: Total: 1
Last 12 Months: 1
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page