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Navid Rezaei

Researcher at University of Kurdistan

Publications -  53
Citations -  1099

Navid Rezaei is an academic researcher from University of Kurdistan. The author has contributed to research in topics: Microgrid & Computer science. The author has an hindex of 13, co-authored 38 publications receiving 570 citations. Previous affiliations of Navid Rezaei include Islamic Azad University & Iran University of Science and Technology.

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A new isolated renewable based multi microgrid optimal energy management system considering uncertainty and demand response

TL;DR: The results of the simulation demonstrate that using the proposed DRP in the energy management increases the performance of the generation units and decreases the total operational cost of the proposed NMGs.
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Smart microgrid hierarchical frequency control ancillary service provision based on virtual inertia concept: An integrated demand response and droop controlled distributed generation framework

TL;DR: In this article, a novel energy management system that is aimed to coordinately manage the demand response and distributed generation resources is presented, which is carried out by constructing a hierarchical frequency control structure in which the frequency dependent control functions of the microgrid components are modeled comprehensively.
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Stochastic frequency-security constrained energy and reserve management of an inverter interfaced islanded microgrid considering demand response programs

TL;DR: In this article, a novel security constrained energy management system of a microgrid which considers the steady-state frequency is proposed. But, the authors do not consider the impact of the macroeconomic and environmental policies on the microgrid frequency.
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Energy and Frequency Hierarchical Management System Using Information Gap Decision Theory for Islanded Microgrids

TL;DR: The obtained results verify that through the proposed IGDT-based energy management system, the MGCC can effectively stabilize the microgrid frequency along with its economic targets while considering severe uncertainties.
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Economic energy and reserve management of renewable-based microgrids in the presence of electric vehicle aggregators: A robust optimization approach

TL;DR: A robust multi-objective model is developed to trade-off between social welfare and emission and the trends of techno-economic-environmental indices confronting to the increasing level of uncertainty control parameter are evaluated thoroughly.