NDLI: Approach to fitting parameters and clustering for characterising measured voltage dips based on two-dimensional polarisation ellipses

Content Provider	IET Digital Library
Author	Sánchez, Tania García Lázaro, Emilio Gómez Muljadi, E. Kessler, Mathieu García, Angel Molina
Abstract	An alternative approach to characterise real voltage dips is proposed and evaluated in this study. The proposed methodology is based on voltage-space vector solutions, identifying parameters for ellipses trajectories by using the least-squares algorithm applied on a sliding window along the disturbance. The most likely patterns are then estimated through a clustering process based on the k-means algorithm. The objective is to offer an efficient and easily implemented alternative to characterise faults and visualise the most likely instantaneous phase-voltage evolution during events through their corresponding voltage-space vector trajectories. This novel solution minimises the data to be stored but maintains extensive information about the dips including starting and ending transients. The proposed methodology has been applied satisfactorily to real voltage dips obtained from intensive field-measurement campaigns carried out in a Spanish wind power plant up to a time period of several years. A comparison to traditional minimum root mean square-voltage and time-duration classifications is also included in this study.
Starting Page	1335
Ending Page	1343
Page Count	9
ISSN	17521416
Volume Number	11
e-ISSN	17521424
Issue Number	Issue 10, Aug (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rpg/11/10
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2016.0813
Journal	IET Renewable Power Generation
Publisher Date	2017-02-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Clustering Process Ellipses Trajectories Ending Transients Fitting Parameter Harmonics Instantaneous Phase-voltage Evolution Intensive Field-measurement Campaigns Interpolation And Function Approximation K-means Algorithm Least Squares Approximation Least-squares Algorithm Linear Algebra Minimum Root Mean Square-voltage Numerical Analysis Pattern Clustering Power Quality Power Supply Quality Sliding Window Spanish Wind Power Plant Starting Transients Time-duration Classifications Two-dimensional Polarisation Ellipses Vector Voltage Dips Voltage-Space Vector Trajectories Wind Power Plant
Content Type	Text
Resource Type	Article
Subject	Renewable Energy, Sustainability and the Environment

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A Least Squares Support Vector Machine Optimized by Cloud-Based Evolutionary Algorithm for Wind Power Generation Prediction

Unbalanced three-phase distribution system frequency estimation using least mean squares method and positive voltage sequence

A novel algorithm for precise voltage flicker calculation by using instantaneous voltage vector

On the Application of Dimensional Analysis to Parametric Macromodeling

Adaptive method for harmonic contribution assessment based on hierarchical K-means clustering and Bayesian partial least squares regression

Network equivalent by vector fitting-based rational approximation in wind power integrated power systems

A Normalized-cut Algorithm for Hierarchical Vector Field Data Segmentation

Real-time harmonics estimation in power systems using a novel hybrid algorithm

Space Vector Method for Voltage Dips and Swells Analysis

Approach to fitting parameters and clustering for characterising measured voltage dips based on two-dimensional polarisation ellipses

Similar Documents

A Least Squares Support Vector Machine Optimized by Cloud-Based Evolutionary Algorithm for Wind Power Generation Prediction

Unbalanced three-phase distribution system frequency estimation using least mean squares method and positive voltage sequence

A novel algorithm for precise voltage flicker calculation by using instantaneous voltage vector

On the Application of Dimensional Analysis to Parametric Macromodeling

Adaptive method for harmonic contribution assessment based on hierarchical K-means clustering and Bayesian partial least squares regression

Network equivalent by vector fitting-based rational approximation in wind power integrated power systems

A Normalized-cut Algorithm for Hierarchical Vector Field Data Segmentation

Real-time harmonics estimation in power systems using a novel hybrid algorithm

Space Vector Method for Voltage Dips and Swells Analysis

Approach to fitting parameters and clustering for characterising measured voltage dips based on two-dimensional polarisation ellipses