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Maryam Moazen

Maryam Moazen

Academic rank: Assistant Professor
ORCID:
Education: PhD.
ScopusId:
HIndex: 0/00
Faculty: Faculty of Engineering
Address:
Phone: 04131745000 - 1651

Research

Title
Mathematical proof of BDFRG model under unbalanced grid voltage condition
Type
JournalPaper
Keywords
Brushless doubly fed reluctance generator, Mathematical proof, Space vector model, Unbalanced grid voltage, Wind power
Year
2020
Journal Sustainable Energy Grids & Networks
DOI
Researchers Maryam Moazen ، Rasool Kazemzadeh ، Mohammad Reza Azizian

Abstract

Brushless doubly fed reluctance generator (BDFRG) can be an appropriate choice for wind power application because of its brushless structure. Usually, wind power plants are located in remote areas which unbalanced voltage of the grid is a common problem. So, modeling of the BDFRG under unbalanced grid voltage condition (UGVC) is one of the major steps in the operation analysis. This paper provides mathematical proof of the BDFRG model under UGVC. Time domain equations of the BDFRG are used to derive the space vector and dq models under UGVC based on symmetrical component theory in the relative positive and negative sequence reference frames. In addition, electrical torque expression of the BDFRG in time domain is used to develop the electrical torque expression under UGVC. Furthermore, the mathematically derived model has been simulated in MATLAB/Simulink software to demonstrate operation of the BDFRG under UGVC.