TY - GEN
T1 - Towards an improved nowcasting method by evaluating power profiles of PV systems to detect apparently atypical behavior
AU - Killinger, Sven
AU - Muller, Bjorn
AU - Saint-Drenan, Yves Marie
AU - McKenna, Russell
PY - 2017/1/1
Y1 - 2017/1/1
N2 - The installed capacity of PV plants has increased dramatically in the past years. A common approach to determine the actual power of an ensemble of PV systems within a specific region typically employs data from measured reference plants. Obviously the precision of the power estimation depends on having representative reference plants, which are not influenced by strong individual characteristics. The goal of this contribution is to detect such apparently atypical behavior of PV systems by comparing their measured power to simulations based on a nearby weather station and clear sky irradiance. Deviations are studied in the course of each day for the year 2012 and 48 PV systems, indicating systematic characteristics independent from meteorological conditions. Additionally, an approach is presented to detect such unexpected deviations automatically. This can be the basis for a dynamic nowcasting algorithm, which selects the reference units based on their (temporal) suitability.
AB - The installed capacity of PV plants has increased dramatically in the past years. A common approach to determine the actual power of an ensemble of PV systems within a specific region typically employs data from measured reference plants. Obviously the precision of the power estimation depends on having representative reference plants, which are not influenced by strong individual characteristics. The goal of this contribution is to detect such apparently atypical behavior of PV systems by comparing their measured power to simulations based on a nearby weather station and clear sky irradiance. Deviations are studied in the course of each day for the year 2012 and 48 PV systems, indicating systematic characteristics independent from meteorological conditions. Additionally, an approach is presented to detect such unexpected deviations automatically. This can be the basis for a dynamic nowcasting algorithm, which selects the reference units based on their (temporal) suitability.
KW - Atypical Behavior
KW - Automated Detection
KW - Photovoltaic reference units
KW - Temporal Suitability
UR - http://www.scopus.com/inward/record.url?scp=85048476345&partnerID=8YFLogxK
U2 - 10.1109/PVSC.2016.7749757
DO - 10.1109/PVSC.2016.7749757
M3 - Published conference contribution
AN - SCOPUS:85048476345
T3 - 2017 IEEE 44th Photovoltaic Specialist Conference, PVSC 2017
SP - 1
EP - 6
BT - 2017 IEEE 44th Photovoltaic Specialist Conference, PVSC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 44th IEEE Photovoltaic Specialist Conference, PVSC 2017
Y2 - 25 June 2017 through 30 June 2017
ER -
