Azam Bagheri

Post doc at Chalmers, Electrical Engineering, Electric Power Engineering, Power grids and Components

Azam Bagheri is a postdoc in the research group Electrical Machines and Power Electronics, division Electric Power Engineering, focusing her research on developing mathematical methods for on-line parameter estimation. Azam is involved in a project related to Remote sensing for active online parameter estimation in digital power grids. The aim of her research is to conduct analytical methods for estimating the frequency dependent impedance in both steady-state and transient conditions. The research will consider the application of the estimated impedance to improve the control of power-electronic based converters and consequently increasing the stability and the reliability of the whole power system.

Source: chalmers.se

Showing 3 publications

2019

A Novel DTC-based Control Method of Flywheel System to Improve Fault-Ride Through Capability of the Microgrids

Mehdi Ghasemi, Azam Bagheri, Massimo Bongiorno
Paper in proceedings
2018

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

Azam Bagheri, Irene Yu-Hua Gu, Math Bollen et al
IEEE Transactions on Power Delivery. Vol. 33 (6), p. 2794-2802
Journal article
2017

Big data from smart grids

Azam Bagheri, Mathias Bollen, Irene Yu-Hua Gu
IEEE PES Innovative smart grid technologies, Europe Conf. (ISGT Europe 2017). Vol. 2018-January, p. 1-5
Paper in proceedings

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