DocumentCode :
135636
Title :
Accurate power prediction of spatially distributed PV systems using localized irradiance measurements
Author :
Gotseff, Peter ; Cale, James ; Baggu, Murali ; Narang, David ; Carroll, Kevin
Author_Institution :
Distrib. Energy Syst. Integration Group, Nat. Renewable Energy Lab., Golden, CO, USA
fYear :
2014
fDate :
27-31 July 2014
Firstpage :
1
Lastpage :
5
Abstract :
In this paper, a method for estimating power injected into an electrical distribution system from spatially distributed residential PV systems using data from ground-based weather stations is described. This method was developed as part of the High Penetration PV Deployment Project at the Arizona Public Service (APS). Verification of this predictive method is also described in this paper. Finally, correlation statistics and power production ramp rates are calculated for irradiance based on measured power within the APS study area using two different sets of weather station measurements. The method has potential applications to real-time or forecasted power estimation on distribution circuits in addition to the development of broader guidelines on the optimal number and location of irradiance sensors for power estimation in distribution circuits with high penetrations of PV.
Keywords :
building integrated photovoltaics; correlation methods; distribution networks; power system measurement; statistical analysis; Arizona Public Service; accurate power prediction; correlation statistics calculation; distribution circuits; electrical distribution system; ground-based weather stations; high penetration PV deployment project; irradiance sensor location; localized irradiance measurements; power injected estimation; power production ramp rate calculation; spatial distributed residential PV systems; weather station measurements; Arrays; Data models; Estimation; Meteorology; Power measurement; Production; Sensors; AMI measurements; PV power estimation; PV variability; irradiance measurements; weather data;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
PES General Meeting | Conference & Exposition, 2014 IEEE
Conference_Location :
National Harbor, MD
Type :
conf
DOI :
10.1109/PESGM.2014.6939502
Filename :
6939502
Link To Document :
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