Method based on independent component analysis for harmonic extraction from power system signals

In this research, an identification method of harmonic source, based on independent component analysis, was proposed. An unknown harmonic source in the equivalent circuit of power system was regarded as the signal source in the independent component analysis. The known voltage and current of PCC were taken as observed quantities. The independent component analysis and the optimization algorithm were utilized to construct a matrix that could linearly transform voltage and current of PCC into mutually independent signal sources. The harmonic impedance and harmonic source of both the user side and system side were obtained. Then the contribution of users to the harmonic distortion at PCC could be identified. With a good anti-jamming property, this algorithm only needs a condition that variations in the harmonic voltage sources at system side and user side are independent to each other. Simulation results indicated the effectiveness of the method to identify the harmonic source of PCC.

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Harmonic State Estimation for a simple power system model using Independent Component Analysis

2015 IEEE 9th International Conference on Intelligent Systems and Control (ISCO) ◽

10.1109/isco.2015.7282290 ◽

2015 ◽

Cited By ~ 2

Author(s):

Supriya P. ◽

T.N.P. Nambiar

Keyword(s):

Independent Component Analysis ◽

Power System ◽

State Estimation ◽

Component Analysis ◽

Independent Component ◽

System Model ◽

Simple Power ◽

Power System Model

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Extracting the transient events from power system signals by independent component analysis

International Transactions on Electrical Energy Systems ◽

10.1002/etep.2114 ◽

2015 ◽

Vol 26 (4) ◽

pp. 884-900 ◽

Cited By ~ 6

Author(s):

Danton D. Ferreira ◽

José M. de Seixas ◽

Augusto S. Cerqueira ◽

Carlos A. Duque ◽

Math H. J. Bollen ◽

...

Keyword(s):

Independent Component Analysis ◽

Power System ◽

Component Analysis ◽

Independent Component ◽

Transient Events

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Independent Component Analysis Techniques for Power System Load Estimation

Applied Mathematics for Restructured Electric Power Systems ◽

10.1007/0-387-23471-3_13 ◽

2005 ◽

pp. 287-317 ◽

Cited By ~ 1

Author(s):

Dagmar Niebur ◽

Ekrem Gursoy ◽

Huaiwei Liao

Keyword(s):

Independent Component Analysis ◽

Power System ◽

Component Analysis ◽

Independent Component ◽

Load Estimation ◽

System Load ◽

Analysis Techniques

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Integrated Kalman-Independent Component Analysis Method for Harmonic Current Estimation on an Interconnected Four Bus Simulated and Laboratory Model

International Journal of Emerging Electric Power Systems ◽

10.1515/1553-779x.2969 ◽

2012 ◽

Vol 13 (3) ◽

Cited By ~ 3

Author(s):

P. Supriya ◽

P. Nambiar

Keyword(s):

Independent Component Analysis ◽

Power System ◽

State Estimation ◽

Component Analysis ◽

Independent Component ◽

Laboratory Model ◽

Optimal Estimator ◽

Current Estimation ◽

Independent Component Analysis Method ◽

Mixing Matrix

Abstract Wide use of non-linear loads results in harmonic propagation throughout the entire power system. The harmonics generated in the power system by the harmonic injection buses need to be properly measured and quantified using minimal information about the power system network. Independent Component Analysis (ICA) provides several algorithms for harmonic state estimation, some of which are more accurate at specific harmonic frequencies. In this paper, the best ICA algorithm for steady state performance (i.e. the algorithm with the least error) is chosen and the resulting mixing matrix is processed by a Kalman Filter which functions as an optimal estimator. The harmonic state estimation is implemented on a simulated four bus system and a laboratory four bus model is also wired and the results of the work are presented.

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