TY - GEN
T1 - Solar Forecasting for Low Voltage Network Operations
T2 - 46th IEEE Photovoltaic Specialists Conference, PVSC 2019
AU - Engerer, Nicholas A.
AU - Tidemann, Carl E.
AU - Bright, Jamie M.
AU - Condie, Scott
AU - Brooks, Matthew
AU - Vithana, Sujeewa
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/6
Y1 - 2019/6
N2 - The utilization of solar forecasting data for the proactive management of low voltage (LV) networks is in its infancy. This paper presents three cases studies from Australian low voltage network operators (DNSPs - distribution network service providers) who have been given access to high resolution solar forecasting data for the purposes of evaluating the use of the technology for LV network management. The first of the selectes use cases focus on how solar forecasting data can aid decision making in day to day LV network operations. The second and third use case are closely related, and demonstrate how behind-the-meter solar forecasts through Solcast Grid Aggregations allows LV network operators to generate more accurate gross load profiles, so that the underlying true demand can be estimated at the zone substation level, by combining these data with SCADA measurements. Broadly, we conclude that these use cases demonstrate that there is significant value for LV network operators to utilize solar forecasting data in their network management and planning activities.
AB - The utilization of solar forecasting data for the proactive management of low voltage (LV) networks is in its infancy. This paper presents three cases studies from Australian low voltage network operators (DNSPs - distribution network service providers) who have been given access to high resolution solar forecasting data for the purposes of evaluating the use of the technology for LV network management. The first of the selectes use cases focus on how solar forecasting data can aid decision making in day to day LV network operations. The second and third use case are closely related, and demonstrate how behind-the-meter solar forecasts through Solcast Grid Aggregations allows LV network operators to generate more accurate gross load profiles, so that the underlying true demand can be estimated at the zone substation level, by combining these data with SCADA measurements. Broadly, we conclude that these use cases demonstrate that there is significant value for LV network operators to utilize solar forecasting data in their network management and planning activities.
UR - http://www.scopus.com/inward/record.url?scp=85081569184&partnerID=8YFLogxK
U2 - 10.1109/PVSC40753.2019.8980584
DO - 10.1109/PVSC40753.2019.8980584
M3 - Conference contribution
T3 - Conference Record of the IEEE Photovoltaic Specialists Conference
SP - 2106
EP - 2110
BT - 2019 IEEE 46th Photovoltaic Specialists Conference, PVSC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 16 June 2019 through 21 June 2019
ER -