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  5. Enhancement of Power Quality Utilizing Photovoltaic fed D-STATCOM Based on Zig-Zag Transformer and Fuzzy Controller

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Article
English
2020

Enhancement of Power Quality Utilizing Photovoltaic fed D-STATCOM Based on Zig-Zag Transformer and Fuzzy Controller

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English
2020
Scientia Iranica
Vol 0 (0)
DOI: 10.24200/sci.2020.54952.3998

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Hamid Reza Karimi
Hamid Reza Karimi

Politecnico di Milano

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Hamid Reza Karimi
Mohsen Simab
Mehdi Nafar

Abstract

Distribution Static Synchronous Compensator (D-STATCOM) is a shunt compensator in the distribution systems that one of the most important tasks is to improve the imbalance, reduce and eliminate the nonlinear loads harmonics. Distributed generation resources such as photovoltaic (PV) array can be used as the DC input of D-STATCOM. In this paper, PV array and DC/DC boost convertor are used to stabilize the DC link voltage of D-STATCOM. The main advantage of the proposed method is that for all time provides continuous compensation. Another power quality issues are neutral current in four-wire systems that are created due to the harmonics and system imbalance. Zig-Zag transformer is one of the ways for compensating neutral current and providing isolation between the convertor and flow of the fundamental zero sequence component which contains harmonic neutral current. Role and performance of the distribution shunt compensator in the improvement of power quality indices depends on the performance of its control system. In this paper, the control scheme of synchronous reference frame theory based on fuzzy controller is used for D-STATCOM based on PV and Zig-Zag transformer. Performance and behaviour of the proposed system examined using Matlab/Simulink software and the results will be presented.

How to cite this publication

Hamid Reza Karimi, Mohsen Simab, Mehdi Nafar (2020). Enhancement of Power Quality Utilizing Photovoltaic fed D-STATCOM Based on Zig-Zag Transformer and Fuzzy Controller. Scientia Iranica, 0(0), pp. 0-0, DOI: 10.24200/sci.2020.54952.3998.

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Publication Details

Type

Article

Year

2020

Authors

3

Datasets

0

Total Files

0

Language

English

Journal

Scientia Iranica

DOI

10.24200/sci.2020.54952.3998

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