Sub-Hour Solar Data for Power System Modeling From Static Spatial Variability Analysis: Preprint

Marissa Hummon

Sub-Hour Solar Data for Power System Modeling From Static Spatial Variability Analysis: Preprint

Marissa Hummon

Strategic Energy Analysis Center

Research output: Contribution to conference › Paper

Abstract

High penetration renewable integration studies need high quality solar power data with spatial-temporal correlations that are representative of a real system. This paper will summarize the research relating sequential point-source sub-hour global horizontal irradiance (GHI) values to static, spatially distributed GHI values. This research led to the development of an algorithm for generatingcoherent sub-hour datasets that span distances ranging from 10 km to 4,000 km. The algorithm, in brief, generates synthetic GHI values at an interval of one-minute, for a specific location, using SUNY/Clean Power Research, satellite-derived, hourly irradiance values for the nearest grid cell to that location and grid cells within 40 km.

Original language	American English
Number of pages	9
State	Published - 2012
Event	2nd International Workshop on Integration of Solar Power in Power Systems - Lisbon, Portugal Duration: 12 Nov 2012 → 13 Nov 2012

Conference

Conference	2nd International Workshop on Integration of Solar Power in Power Systems
City	Lisbon, Portugal
Period	12/11/12 → 13/11/12

NLR Publication Number

NREL/CP-6A20-56204

Keywords

spatial correlations
spatial-temporal statistics
sub-hour solar power

Access to Document

https://www.nrel.gov/docs/fy13osti/56204.pdf

Cite this

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title = "Sub-Hour Solar Data for Power System Modeling From Static Spatial Variability Analysis: Preprint",

abstract = "High penetration renewable integration studies need high quality solar power data with spatial-temporal correlations that are representative of a real system. This paper will summarize the research relating sequential point-source sub-hour global horizontal irradiance (GHI) values to static, spatially distributed GHI values. This research led to the development of an algorithm for generatingcoherent sub-hour datasets that span distances ranging from 10 km to 4,000 km. The algorithm, in brief, generates synthetic GHI values at an interval of one-minute, for a specific location, using SUNY/Clean Power Research, satellite-derived, hourly irradiance values for the nearest grid cell to that location and grid cells within 40 km.",

keywords = "spatial correlations, spatial-temporal statistics, sub-hour solar power",

author = "Marissa Hummon",

year = "2012",

language = "American English",

note = "2nd International Workshop on Integration of Solar Power in Power Systems ; Conference date: 12-11-2012 Through 13-11-2012",

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TY - CONF

T1 - Sub-Hour Solar Data for Power System Modeling From Static Spatial Variability Analysis: Preprint

AU - Hummon, Marissa

PY - 2012

Y1 - 2012

N2 - High penetration renewable integration studies need high quality solar power data with spatial-temporal correlations that are representative of a real system. This paper will summarize the research relating sequential point-source sub-hour global horizontal irradiance (GHI) values to static, spatially distributed GHI values. This research led to the development of an algorithm for generatingcoherent sub-hour datasets that span distances ranging from 10 km to 4,000 km. The algorithm, in brief, generates synthetic GHI values at an interval of one-minute, for a specific location, using SUNY/Clean Power Research, satellite-derived, hourly irradiance values for the nearest grid cell to that location and grid cells within 40 km.

AB - High penetration renewable integration studies need high quality solar power data with spatial-temporal correlations that are representative of a real system. This paper will summarize the research relating sequential point-source sub-hour global horizontal irradiance (GHI) values to static, spatially distributed GHI values. This research led to the development of an algorithm for generatingcoherent sub-hour datasets that span distances ranging from 10 km to 4,000 km. The algorithm, in brief, generates synthetic GHI values at an interval of one-minute, for a specific location, using SUNY/Clean Power Research, satellite-derived, hourly irradiance values for the nearest grid cell to that location and grid cells within 40 km.

KW - spatial correlations

KW - spatial-temporal statistics

KW - sub-hour solar power

M3 - Paper

T2 - 2nd International Workshop on Integration of Solar Power in Power Systems

Y2 - 12 November 2012 through 13 November 2012

ER -

Sub-Hour Solar Data for Power System Modeling From Static Spatial Variability Analysis: Preprint

Abstract

Conference

NLR Publication Number

Keywords

Access to Document

Fingerprint

Cite this