Z
Zahra Malekjamshidi
Researcher at University of Technology, Sydney
Publications - 52
Citations - 578
Zahra Malekjamshidi is an academic researcher from University of Technology, Sydney. The author has contributed to research in topics: Control theory & Voltage. The author has an hindex of 12, co-authored 52 publications receiving 419 citations. Previous affiliations of Zahra Malekjamshidi include Islamic Azad University.
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Development of a Fuzzy-Logic-Based Energy Management System for a Multiport Multioperation Mode Residential Smart Microgrid
TL;DR: A grid-tied residential smart microgrid topology is proposed, which integrates energies of a photo-voltaic, a fuel cell, and a battery bank to supply the local loads through a combination of electric and magnetic buses to lead to a faster and more flexible energy management.
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A Novel Predictive Fuzzy Logic-Based Energy Management System for Grid-Connected and Off-Grid Operation of Residential Smart Microgrids
TL;DR: A novel energy management system (EMS) with two operating horizons is proposed for a residential microgrid application that utilizes the energies of a photovoltaic, a fuel cell, and a battery bank to supply the local loads through a combination of electric and magnetic buses.
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Design and Implementation of an Amorphous High-Frequency Transformer Coupling Multiple Converters in a Smart Microgrid
TL;DR: All stages of numerical design, prototyping, and characterization of an MWT for microgrid application are presented and the reluctance network method is employed to design the transformer for certain value of parameters.
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Optimal energy management of a residential-based hybrid renewable energy system using rule-based real-time control and 2D dynamic programming optimization method
TL;DR: A magnetically coupled hybrid renewable energy system for residential applications that integrates the energies of a set of PV panels, a fuel cell stack, and a battery using a multi-winding magnetic link to supply a residential load is presented.
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A magnetically coupled multi-port, multi-operation-mode micro-grid with a predictive dynamic programming-based energy management for residential applications
TL;DR: The proposed micro-grid is able to operate in multiple grid-connected and off-grid operation modes according to a predictive 2D dynamic programming-based energy management and mode selection and transition strategy is developed to select the appropriate operation mode and smooth the mode transition.