NDLI: Analysis of power system harmonics using singular value decomposition, least square estimation and FFT

Content Provider	IEEE Xplore Digital Library
Author	Rehman, Bilawal Ahmad, Masood Hussain, Jawad
Copyright Year	2014
Description	Author affiliation: SST-UMT, Lahore Pakistan (Rehman, Bilawal) \|\| CIIT-LHR, Lahore Pakistan (Ahmad, Masood) \|\| EED-UET, Lahore Pakistan (Hussain, Jawad) This research work will examine singular value decomposition (SVD), Fast Fourier Transform (FFT) and least square technique for the estimation of harmonics in power system. Harmonics in power system disturbs the quality of energy supplied to load, increased energy losses and reduce the reliability of the power system. In some cases, the large power converter systems produce not only typical harmonics but also a significant amount of inter harmonics which can significantly deteriorate the quality of power supply voltage. Inter harmonics are those components of current or voltage waveform which are not integer multiple of fundamental frequency component. Since poor power quality cause losses in power system that's why researchers are working to find techniques to estimate and control the harmonics in power system. Singular value decomposition approach is an ideal technique to estimate harmonics in power system located far away. Since in most of the cases, power system produce over determine equations which can easily be solved using SVD for optimal solution. Singular vector decomposition, SVD is really a mathematical method to lessen a dataset containing an extensive number of qualities to a dataset containing fundamentally less values, yet which still contains a huge portion of the variability introduce in the first information. SVD investigation brings about a more reduced representation of correlations, particularly with multivariate datasets and can give knowledge into spatial and temporal variations exhibited in the fields of data being analysed under different circumstance. Similarly traditional least square method is also one of the most prominent method to estimate the line of best fit. This research work will show the analysis of said techniques to find the optimal approximation of noisy and distorted wave form. To investigate effectiveness of said techniques; simulations will be carried out in MATLAB with same parameters.
Starting Page	1
Ending Page	5
File Size	184933
Page Count	5
File Format	PDF
e-ISBN	9781479965540
DOI	10.1109/ICESP.2014.7346973
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-11-24
Publisher Place	Pakistan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Singular Value Decomposition Harmonics Least squares approximations Power System Estimation Power system harmonics Harmonic analysis Noise measurement Singular value decomposition Least square estimation
Content Type	Text
Resource Type	Article

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

Analysis of power system harmonics using singular value decomposition, least square estimation and FFT

Accurate estimation of grid voltage parameters using singular value decomposition technique

Power system harmonics estimation using sliding window based LMS

Research into Harmonic State Estimation in Power System Based on PMU and SVD

Power system harmonics estimation using LMS, LMF and LMS/LMF

Power system harmonics estimation using linear least squares method and SVD

Accurate Estimation of Harmonic Components of Power Signal

Power system harmonic state estimation using WLS and SVD; A practical Approach

Three-phase harmonic state estimation using SVD for partially observable systems

Analysis of power system harmonics using singular value decomposition, least square estimation and FFT

Similar Documents

Analysis of power system harmonics using singular value decomposition, least square estimation and FFT

Accurate estimation of grid voltage parameters using singular value decomposition technique

Power system harmonics estimation using sliding window based LMS

Research into Harmonic State Estimation in Power System Based on PMU and SVD

Power system harmonics estimation using LMS, LMF and LMS/LMF

Power system harmonics estimation using linear least squares method and SVD

Accurate Estimation of Harmonic Components of Power Signal

Power system harmonic state estimation using WLS and SVD; A practical Approach

Three-phase harmonic state estimation using SVD for partially observable systems

Analysis of power system harmonics using singular value decomposition, least square estimation and FFT