TY - GEN
T1 - Measuring Method for Solar Irradiance at Multi-points with Different Color Based on Image Analysis
AU - Kawakami, Kento
AU - Takahashi, Akiko
AU - Imai, Jun
AU - Funabiki, Shigeyuki
N1 - Funding Information:
This work was supported by JSPS KAKENHI Grant Number JP16K21188 and IEEJ Chugoku Branch.
PY - 2018/12/3
Y1 - 2018/12/3
N2 - In recent years, the introduction of PV (photovoltaic generation) systems has been rapidly expanding to realize a sustainable society. In order to deal with the deterioration of power quality that could occur when a large amount of PV systems is installed, it is necessary to predict the PV power based on the solar irradiance and to select and install system stabilizing devices. Therefore, measuring methods for the solar irradiance by image analysis have been proposed. This paper proposes a measuring method for the solar irradiance at multi-points with different color based image analysis. The proposed method creates estimation models at only an arbitrary point. Then, color values at other points to be measured are extracted and correction values are calculated. By applying correction values to existing estimation models, the solar irradiance at multi-points are measured. The proposed method measured the solar irradiance at the light blue roof, the orange roof and the PV panel points in the image from Nov. 1, 2014 to Nov. 30, 2014. As a result, mean absolute errors between measured values of solar irradiance using a pyranometer and the proposed method at these points were 0.093 kW/m2, 0.093 kW/m2, 0.086 kW/m2, respectively. These were decreased by 58%, 51%, and 45% compared those with using the estimation models without applying correction values, respectively.
AB - In recent years, the introduction of PV (photovoltaic generation) systems has been rapidly expanding to realize a sustainable society. In order to deal with the deterioration of power quality that could occur when a large amount of PV systems is installed, it is necessary to predict the PV power based on the solar irradiance and to select and install system stabilizing devices. Therefore, measuring methods for the solar irradiance by image analysis have been proposed. This paper proposes a measuring method for the solar irradiance at multi-points with different color based image analysis. The proposed method creates estimation models at only an arbitrary point. Then, color values at other points to be measured are extracted and correction values are calculated. By applying correction values to existing estimation models, the solar irradiance at multi-points are measured. The proposed method measured the solar irradiance at the light blue roof, the orange roof and the PV panel points in the image from Nov. 1, 2014 to Nov. 30, 2014. As a result, mean absolute errors between measured values of solar irradiance using a pyranometer and the proposed method at these points were 0.093 kW/m2, 0.093 kW/m2, 0.086 kW/m2, respectively. These were decreased by 58%, 51%, and 45% compared those with using the estimation models without applying correction values, respectively.
KW - HSV (hue, saturation, brightness value) color space
KW - Image analysis
KW - Multiple regression analysis
KW - Photovoltaic generation
KW - Solar irradiance
UR - http://www.scopus.com/inward/record.url?scp=85060290939&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85060290939&partnerID=8YFLogxK
U2 - 10.1109/ECCE.2018.8557773
DO - 10.1109/ECCE.2018.8557773
M3 - Conference contribution
AN - SCOPUS:85060290939
T3 - 2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018
SP - 2543
EP - 2548
BT - 2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2018
Y2 - 23 September 2018 through 27 September 2018
ER -
