Title :
Development of an irradiance sensor network to model photovoltaic plant-average irradiance time series
Author :
Moaveni, Houtan ; Click, David K. ; Pappalardo, Alfio
Author_Institution :
Florida Solar Energy Center, Univ. of Central Florida, Cocoa, FL, USA
Abstract :
With exponential growth in in the U.S. utility-scale photovoltaic market, high resolution solar irradiance data and appropriate spatial-temporal models are required to determine the true impact of solar power variability on the grid. This paper describes a new and economical Data Acquisition System (DAS) to collect high resolution solar power data required for high penetration PV integration studies and suggests an empirical model to simulate the plant-average irradiance time series given a single irradiance point sensor.
Keywords :
data acquisition; electric sensing devices; photovoltaic power systems; power grids; power markets; time series; DAS; U.S. utility-scale photovoltaic market; appropriate spatial-temporal models; economical data acquisition system; high penetration PV integration study; high resolution solar irradiance data; high resolution solar power data collection; irradiance sensor network; photovoltaic plant-average irradiance time series model; single irradiance point sensor; solar power variability; Correlation; Data acquisition; Data models; Fluctuations; Indexes; Time series analysis; Wireless sensor networks; Solar power variability; high PV penetration; irradiance sensors network; time series;
Conference_Titel :
Photovoltaic Specialist Conference (PVSC), 2014 IEEE 40th
Conference_Location :
Denver, CO
DOI :
10.1109/PVSC.2014.6925035