Testing and analysis of a D-STATCOM prototype connected to the electrical network

In this article Flexible AC Transmission Systems (FACTS) devices are addressed, especially the design and implementation of a D-STATCOM prototype, making a comparison between the theoretical behavior and the aforementioned prototype. A fuzzy logic-based strategy was used for voltage control, employing the Matlab Fuzzy Logic Designer tool. The neural network was trainned with the network voltage, the voltage of the inverter stage, the current, the active and reactive power, and the power factor as inputs. Initially, the load power factor was 0.62 and the prototype operation allowed the voltage to be increased above the grid voltage, which is reflected in the forward current, modifying the power factor to a value of 0.91 while maintaining the same voltage. Finally, the results demonstrate the relationship between the increase of the inverter stage of the prototype above the electrical power line, obtaining a variable capacitor thus adjusting the power factor.

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Publication Details

Journal
Revista de Investigación Desarrollo e Innovación
Published
2024-09-15
DOI
https://doi.org/10.19053/uptc.20278306.v14.n2.2024.18160
Primary Topic
Multilevel Inverters and Converters
Type
article
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article

Testing and analysis of a D-STATCOM prototype connected to the electrical network

Aldo Pardo García, Jorge Luis Díaz Rodríguez, Mauricio José Triana-Figueroa
Revista de Investigación Desarrollo e Innovación
Multilevel Inverters and Converters
article

Testing and analysis of a D-STATCOM prototype connected to the electrical network

Aldo Pardo García, Jorge Luis Díaz Rodríguez, Mauricio José Triana-Figueroa
article en

Abstract

In this article Flexible AC Transmission Systems (FACTS) devices are addressed, especially the design and implementation of a D-STATCOM prototype, making a comparison between the theoretical behavior and the aforementioned prototype. A fuzzy logic-based strategy was used for voltage control, employing the Matlab Fuzzy Logic Designer tool. The neural network was trainned with the network voltage, the voltage of the inverter stage, the current, the active and reactive power, and the power factor as inputs. Initially, the load power factor was 0.62 and the prototype operation allowed the voltage to be increased above the grid voltage, which is reflected in the forward current, modifying the power factor to a value of 0.91 while maintaining the same voltage. Finally, the results demonstrate the relationship between the increase of the inverter stage of the prototype above the electrical power line, obtaining a variable capacitor thus adjusting the power factor.

Revista de Investigación Desarrollo e InnovaciónVol. 14(2)
Openalex Percentile: Top 85%
Multilevel Inverters and Converters
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