Fast QSTS for Distributed PV Impact Studies Using Vector Quantization and Variable Time-Steps

Barry Mather, Qinmiao Li, Jeremiah Deboever, Matthew Reno

Research output: Contribution to conferencePaperpeer-review

8 Scopus Citations

Abstract

As the penetration level of PV systems increases, utilities are in great need of methods to quickly and effectively analyze PV's impact on electric distribution systems. Compared to other conventional methods, quasi-static time-series (QSTS) based analysis has demonstrated its advantages of accurately capturing the impact of interest, e.g. control device operations, and min and max voltages. However, yearlong QSTS simulation with 1-second granularity is currently too computationally expensive for regular use. Therefore, vector quantization (VQ) and variable time-step (VTS) solution methods have been developed to accelerate QSTS simulation. This paper proposes the combination of VQ with VTS. We investigate the effectiveness of implementing VQ in combination with 2 VTS algorithms, predetermined time-step (PT) and VTS with backtrack downsampling (VTS-BD) to demonstrate a runtime reduction of 99.55% with error metrics below acceptable thresholds.

Original languageAmerican English
Pages1-5
Number of pages5
DOIs
StatePublished - 3 Jul 2018
Event2018 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2018 - Washington, United States
Duration: 19 Feb 201822 Feb 2018

Conference

Conference2018 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2018
Country/TerritoryUnited States
CityWashington
Period19/02/1822/02/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

NREL Publication Number

  • NREL/CP-5D00-68992

Keywords

  • Photovoltaic Systems
  • Power Distribution
  • Power System Analysis Computing
  • Power System Planning
  • QSTS
  • Vector Quantization

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