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Article
Publication date: 5 January 2015

Mounir Bouzguenda, Tarek Selmi, Adel Gastli and Ahmed Masmoudi

The purpose of this paper is to study the problem of the leakage currents in transformerless inverter topologies. It proposes a novel topology and how important the adopted…

276

Abstract

Purpose

The purpose of this paper is to study the problem of the leakage currents in transformerless inverter topologies. It proposes a novel topology and how important the adopted control strategy on the power quality produced by the inverter.

Design/methodology/approach

The paper presents an investigation of a novel transformerless inverter topology. It adopted a control strategy in which the DC source is disconnected from the inverter when the zero vectors of the control are applied. By using such control strategy, the electrical efficiency of the whole system was improved and the leakage current was significantly reduced.

Findings

The paper provides a solution to minimize the leakage current in transformerless inverter topologies. Besides, the problem of zero-crossing distortions was totally eliminated.

Research limitations/implications

Because of the high conversion ratio of the boost converter, the efficiency of the whole system needs to be enhanced.

Practical implications

The paper includes the experimental results of the proposed topology which are in good match with the simulation results.

Originality/value

This paper identifies a need to study the leakage current phenomena in transformerless inverter topologies.

Details

COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, vol. 34 no. 1
Type: Research Article
ISSN: 0332-1649

Keywords

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Article
Publication date: 1 December 2005

Abdullah Al‐Badi, Adel Gastli and Joseph A. Jervase

The parameters of axial‐field machines are very small compared with the parameters of conventional machines. Different measuring methods are normally used in order to obtain good…

421

Abstract

Purpose

The parameters of axial‐field machines are very small compared with the parameters of conventional machines. Different measuring methods are normally used in order to obtain good estimates of the machine parameters. These methods are difficult to perform, costly and time consuming. This paper proposes the use of genetic algorithms to predict the self and mutual inductances of a specific type of axial‐field machine, the Torus motor.

Design/methodology/approach

The parameter extraction is reformulated as a search and optimization problem in which the only requirement is a set of values of current versus time and an approximate estimate of the parameters.

Findings

The predicted machine self and mutual inductances are verified by comparing with several measuring methods and excellent agreement is obtained.

Originality/value

Demonstrates that genetic algorithms can predict the self and mutual inductances of the Torus machine automatically with high accuracy.

Details

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, vol. 24 no. 4
Type: Research Article
ISSN: 0332-1649

Keywords

Available. Content available
Article
Publication date: 22 November 2011

406

Abstract

Details

International Journal of Energy Sector Management, vol. 5 no. 4
Type: Research Article
ISSN: 1750-6220

Available. Content available
Article
Publication date: 23 November 2010

43

Abstract

Details

International Journal of Energy Sector Management, vol. 4 no. 4
Type: Research Article
ISSN: 1750-6220

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