Accurate Power Prediction of Spatially Distributed PV Systems using Localized Irradiance Measurements

Murali Baggu; Peter Gotseff; David Narang; Kevin. Carroll; James Cale

doi:10.1109/PESGM.2014.6939502

Accurate Power Prediction of Spatially Distributed PV Systems using Localized Irradiance Measurements

Murali Baggu
, Peter Gotseff
, David Narang
, Kevin. Carroll
, James Cale

Arizona Public Service

Research output: Contribution to conference › Paper › peer-review

14 Scopus Citations

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.

Original language	American English
Number of pages	5
DOIs	https://doi.org/10.1109/PESGM.2014.6939502 https://doi.org/10.1109/PESGM.2014.6939502
State	Published - 2014
Event	2014 IEEE PES General Meeting - National Harbor, Maryland Duration: 27 Jul 2014 → 31 Jul 2014

Conference

Conference	2014 IEEE PES General Meeting
City	National Harbor, Maryland
Period	27/07/14 → 31/07/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

NLR Publication Number

NREL/CP-5D00-60929

Keywords

AMI measurements
irradiance measurements
PV power estimation
PV variability
weather data

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title = "Accurate Power Prediction of Spatially Distributed PV Systems using Localized Irradiance Measurements",

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 = "AMI measurements, irradiance measurements, PV power estimation, PV variability, weather data",

author = "Murali Baggu and Peter Gotseff and David Narang and Kevin. Carroll and James Cale",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE PES General Meeting ; Conference date: 27-07-2014 Through 31-07-2014",

year = "2014",

doi = "10.1109/PESGM.2014.6939502",

language = "American English",

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TY - CONF

T1 - Accurate Power Prediction of Spatially Distributed PV Systems using Localized Irradiance Measurements

AU - Baggu, Murali

AU - Gotseff, Peter

AU - Narang, David

AU - Carroll, Kevin.

AU - Cale, James

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

KW - AMI measurements

KW - irradiance measurements

KW - PV power estimation

KW - PV variability

KW - weather data

UR - https://www.scopus.com/pages/publications/84930986836

U2 - 10.1109/PESGM.2014.6939502

DO - 10.1109/PESGM.2014.6939502

M3 - Paper

AN - SCOPUS:84930986836

T2 - 2014 IEEE PES General Meeting

Y2 - 27 July 2014 through 31 July 2014

ER -

Accurate Power Prediction of Spatially Distributed PV Systems using Localized Irradiance Measurements

Abstract

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Keywords

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