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Title: Identification of linearised RMS-voltage dip patterns based on clustering in renewable plants

Abstract

Generation units connected to the grid are currently required to meet low-voltage ride-through (LVRT) requirements. In most developed countries, these requirements also apply to renewable sources, mainly wind power plants and photovoltaic installations connected to the grid. This study proposes an alternative characterisation solution to classify and visualise a large number of collected events in light of current limits and requirements. The authors' approach is based on linearised root-mean-square-(RMS)-voltage trajectories, taking into account LRVT requirements, and a clustering process to identify the most likely pattern trajectories. The proposed solution gives extensive information on an event's severity by providing a simple but complete visualisation of the linearised RMS-voltage patterns. In addition, these patterns are compared to current LVRT requirements to determine similarities or discrepancies. A large number of collected events can then be automatically classified and visualised for comparative purposes. Real disturbances collected from renewable sources in Spain are used to assess the proposed solution. Extensive results and discussions are also included in this study.

Authors:
; ; ; ; ;
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1432612
Report Number(s):
NREL/JA-5D00-68187
Journal ID: ISSN 1751-8687
DOE Contract Number:
AC36-08GO28308
Resource Type:
Journal Article
Resource Relation:
Journal Name: IET Generation, Transmission, & Distribution; Journal Volume: 12; Journal Issue: 6
Country of Publication:
United States
Language:
English
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; low-voltage ride-through; LVRT; voltage dip; clustering

Citation Formats

García-Sánchez, Tania, Gómez-Lázaro, Emilio, Muljadi, Edward, Kessler, Mathieu, Muñoz-Benavente, Irene, and Molina-García, Angel. Identification of linearised RMS-voltage dip patterns based on clustering in renewable plants. United States: N. p., 2018. Web. doi:10.1049/iet-gtd.2017.0474.
García-Sánchez, Tania, Gómez-Lázaro, Emilio, Muljadi, Edward, Kessler, Mathieu, Muñoz-Benavente, Irene, & Molina-García, Angel. Identification of linearised RMS-voltage dip patterns based on clustering in renewable plants. United States. doi:10.1049/iet-gtd.2017.0474.
García-Sánchez, Tania, Gómez-Lázaro, Emilio, Muljadi, Edward, Kessler, Mathieu, Muñoz-Benavente, Irene, and Molina-García, Angel. Tue . "Identification of linearised RMS-voltage dip patterns based on clustering in renewable plants". United States. doi:10.1049/iet-gtd.2017.0474.
@article{osti_1432612,
title = {Identification of linearised RMS-voltage dip patterns based on clustering in renewable plants},
author = {García-Sánchez, Tania and Gómez-Lázaro, Emilio and Muljadi, Edward and Kessler, Mathieu and Muñoz-Benavente, Irene and Molina-García, Angel},
abstractNote = {Generation units connected to the grid are currently required to meet low-voltage ride-through (LVRT) requirements. In most developed countries, these requirements also apply to renewable sources, mainly wind power plants and photovoltaic installations connected to the grid. This study proposes an alternative characterisation solution to classify and visualise a large number of collected events in light of current limits and requirements. The authors' approach is based on linearised root-mean-square-(RMS)-voltage trajectories, taking into account LRVT requirements, and a clustering process to identify the most likely pattern trajectories. The proposed solution gives extensive information on an event's severity by providing a simple but complete visualisation of the linearised RMS-voltage patterns. In addition, these patterns are compared to current LVRT requirements to determine similarities or discrepancies. A large number of collected events can then be automatically classified and visualised for comparative purposes. Real disturbances collected from renewable sources in Spain are used to assess the proposed solution. Extensive results and discussions are also included in this study.},
doi = {10.1049/iet-gtd.2017.0474},
journal = {IET Generation, Transmission, & Distribution},
number = 6,
volume = 12,
place = {United States},
year = {Tue Mar 27 00:00:00 EDT 2018},
month = {Tue Mar 27 00:00:00 EDT 2018}
}