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Characterizing local high-frequency solar variability and its impact to distribution studies

Journal Article · · Solar Energy
 [1];  [2];  [2]
  1. Sandia National Lab. (SNL-CA), Livermore, CA (United States)
  2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Accurately representing the local solar variability at timescales relevant to distribution grid operations (30-seconds and shorter) is essential to modeling the impact of solar photovoltaics (PV) on distribution feeders. Due to a lack of available high-frequency solar data, some distribution grid studies have used synthetically-created PV variability or measured PV variability from a different location than their study location. In this work, we show the importance of using accurate solar PV variability inputs in distribution studies. Using high-frequency solar irradiance data from 10 locations in the United States, we compare the ramp rate distributions at the different locations, use a quantitative metric to describe the solar variability, and run distribution simulations using representative 1-week samples from each location to determine the impact of solar variability on the number of tap change operations. Results indicate up to a 300% difference in the number of tap change operations when using PV variability profiles from the different locations.

Research Organization:
Sandia National Laboratories (SNL-CA), Livermore, CA (United States); Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Program (EE-2A)
Grant/Contract Number:
AC04-94AL85000
OSTI ID:
1497655
Report Number(s):
SAND--2014-16368J; 672037
Journal Information:
Solar Energy, Journal Name: Solar Energy Journal Issue: C Vol. 118; ISSN 0038-092X
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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Cited By (9)

A new perspective on the sunshine duration variability journal November 2019
The impact of globally diverse GHI training data: Evaluation through application of a simple Markov chain downscaling methodology journal March 2019
Data article: Distributed PV power data for three cities in Australia journal May 2019
A generative hidden Markov model of the clear-sky index journal July 2019
Impact of Rooftop Photovoltaics on the Distribution System journal January 2020
Irradiance Variability Quantification and Small-Scale Averaging in Space and Time: A Short Review posted_content June 2018
Fuel Cell Electric Vehicle as a Power Plant: Techno-Economic Scenario Analysis of a Renewable Integrated Transportation and Energy System for Smart Cities in Two Climates journal December 2019
Irradiance Variability Quantification and Small-Scale Averaging in Space and Time: A Short Review journal July 2018
Forecast Horizon and Solar Variability Influences on the Performances of Multiscale Hybrid Forecast Model journal June 2019

Figures / Tables (14)


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