Software Solution for Modeling, Sizing, and Allocation of Active Power Filters in Distribution Networks

The paper is related to the problem of modeling and optimizing power systems supplying, among others, nonlinear loads. A software solution that allows the modeling and simulation of power systems in the frequency domain as well as the sizing and allocation of active power filters has been developed...

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Bibliographic Details
Published in:Energies (Basel) 2021-01, Vol.14 (1), p.133
Main Authors: Buła, Dawid, Grabowski, Dariusz, Lewandowski, Michał, Maciążek, Marcin, Piwowar, Anna
Format: Article
Language:English
Subjects:
active power filters
Computer applications
Computer programs
Computer simulation
Efficiency
Electric potential
Electric power distribution
Filters
frequency domain
Harmonic analysis
Harmonic distortion
Investment
Libraries
Linear algebra
modeling and simulation
Optimization
Optimization algorithms
power losses
power quality
Power supply
Simulation
Sizing
Software
Software development
Systems analysis
Voltage
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Summary:The paper is related to the problem of modeling and optimizing power systems supplying, among others, nonlinear loads. A software solution that allows the modeling and simulation of power systems in the frequency domain as well as the sizing and allocation of active power filters has been developed and presented. The basic assumptions for the software development followed by the models of power system components and the optimization assumptions have been described in the paper. On the basis of an example of a low-voltage network, an analysis of the selection of the number and allocation of active power filters was carried out in terms of minimizing losses and investment costs under the assumed conditions for voltage total harmonic distortion (THD) coefficients in the network nodes. The presented examples show that the appropriate software allows for an in-depth analysis of possible solutions and, furthermore, the selection of the optimal one for a specific case, depending on the adopted limitations, expected effects, and investment costs. In addition, a very high computational efficiency of the adopted approach to modeling and simulation has been demonstrated, despite the use of (i) element models for which parameters depend on the operating point (named iterative elements), (ii) active filter models taking into account real harmonics reduction efficiency and power losses, and (iii) a brute force algorithm for optimization.
ISSN:1996-1073
1996-1073
DOI:10.3390/en14010133