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Dive into the research topics where Azam Bagheri is active.

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Featured researches published by Azam Bagheri.


international conference on harmonics and quality of power | 2016

Active harmonic filters: Control techniques review

Daphne Schwanz; Azam Bagheri; Math Bollen; Anders Larsson

The use of active filters for harmonic mitigation compensation is increasing together with the improvement of their control techniques. Depending on the situation, the use of one technique instead of the other makes the difference of achieving a better harmonic mitigation or not. In this paper, a review of control techniques related to harmonic filters for harmonic mitigation is presented, together with the advantages and disadvantages. From the literature review it was observed that new techniques are being used and classical ones are being improved.


international conference on harmonics and quality of power | 2016

Additional information from voltage dips

Azam Bagheri; Math Bollen

This paper presents some methods to extract additional information from voltage dip recordings, beyond residual voltage and duration. Additionally it discusses some issues related to the massive amount of data obtained from modern measurements that, is referred to as Big Data. The paper proposes some Deep Learning based algorithms as good candidates to extract complex features from big data as a step towards additional information. The applications of the information include predicting individual equipment performance, fault type and location, protection operation, and overall load behavior. Individual equipment and overall load include production as well as consumption.


IEEE Transactions on Power Delivery | 2017

Single-Event Characteristics for Voltage Dips in Three-Phase Systems

Ying Wang; Azam Bagheri; Math Bollen; Xian-Yong Xiao

This paper compares different methods for voltage-dip characterization. Those methods are based on earlier proposed algorithms for extracting three-phase characteristics (dip type, characteristic voltage, and so-called “PN factor”). The difference between the 12 methods being studied in this paper is in the way in which the time variation of those characteristics is treated to result in single-event characteristics. The methods are applied to 259 measured voltage dips, and the performance of the different methods is compared. It is found that small differences in the method can result in big differences in results. From the comparison, two methods are selected and recommended for inclusion in international standards.


international conference on harmonics and quality of power | 2016

Developments in voltage dip research and its applications, 2005–2015

Azam Bagheri; Math Bollen

This paper presents a review of literature on voltage dips, from several points of view, throughout the last decade. It also summarizes the results related to voltage dip mitigation in both AC and DC power systems whereas it shows the remaining challenges that requires further research on voltage dips.


Electric Power Systems Research | 2016

A quantitative comparison approach for different voltage dip characterization methods

Ying Wang; Math Bollen; Azam Bagheri; Xian-Yong Xiao; Magnus Olofsson


international conference on harmonics and quality of power | 2018

Space phasor model based monitoring of voltages in three phase systems

Azam Bagheri; Math J. H. Bollen


international conference on harmonics and quality of power | 2018

A LSTM-based deep learning method with application to voltage dip classification

Ebrahim Balouji; Irene Yu-Hua Gu; Math Bollen; Azam Bagheri; Mahmood Nazari


IEEE Transactions on Power Delivery | 2018

A Robust Transform-Domain Deep Convolutional Network for Voltage Dip Classification

Azam Bagheri; Irene Gu; Math Bollen; Ebrahim Balouji


Electric Power Systems Research | 2018

Improved characterization of Multi-Stage Voltage Dips based on the Space Phasor Model

Azam Bagheri; Mathias Bollen; Irene Yu-Hua Gu


ieee pes innovative smart grid technologies conference | 2017

Simple diagnostic technique of switch failure modes of VSI power converter

Azam Bagheri; Math Bollen

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Math Bollen

Luleå University of Technology

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Irene Yu-Hua Gu

Chalmers University of Technology

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Ebrahim Balouji

Chalmers University of Technology

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Mathias Bollen

Chalmers University of Technology

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Anders Larsson

Luleå University of Technology

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Daphne Schwanz

Luleå University of Technology

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Mahmood Nazari

Chalmers University of Technology

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Math J. H. Bollen

Luleå University of Technology

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