Comprehensive design methodology of tuned passive filters based on a probabilistic approach

This study presents a new method for the optimal design of single-tuned harmonic passive filters considering the probabilistic nature of power system magnitudes. For this purpose, the algorithm uses the measurements acquired by a power quality analyser. The Gaussian mixture model has been applied to...

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Bibliographic Details
Published in:IET generation, transmission & distribution transmission & distribution, 2014-01, Vol.8 (1), p.170-177
Main Authors: Churio-Barboza, Julio C, Maza-Ortega, Jose Maria
Format: Article
Language:English
Subjects:
Algorithms
Applied sciences
Capacitors. Resistors. Filters
comprehensive design methodology
Design analysis
Design engineering
deterministic variable
Electrical engineering. Electrical power engineering
Electrical power engineering
Exact sciences and technology
Gaussian
Gaussian mixture model
Gaussian processes
harmonic component
harmonic measurement
Harmonics
Mathematical models
Miscellaneous
Operation. Load control. Reliability
optimisation
optimisation algorithm
Optimization
passive filters
Power electronics, power supplies
power filters
Power networks and lines
power quality analyser
power supply quality
power system harmonics
power system magnitude
probabilistic approach
Probabilistic methods
Probability theory
single‐tuned harmonic passive filters
statistical representation
Various equipment and components
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Summary:This study presents a new method for the optimal design of single-tuned harmonic passive filters considering the probabilistic nature of power system magnitudes. For this purpose, the algorithm uses the measurements acquired by a power quality analyser. The Gaussian mixture model has been applied to actual harmonic measurements to obtain a precise statistical representation which is crucial in the proposed design procedure. The optimisation algorithm considers both probabilistic and deterministic variables involving all the harmonic components including the minor or non-characteristic harmonics. Moreover, the objective function of the optimisation algorithm is formulated taken into account all the harmonic terms overpassing other simplified formulations based only on the fundamental component. This study includes a case study with different optimisation scenarios to clearly highlight the benefits of each of the proposed contributions.
ISSN:1751-8687
1751-8695
1751-8695
DOI:10.1049/iet-gtd.2012.0734