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Mohammad Reza Aghamohammadi

Researcher at Shahid Beheshti University

Publications -  85
Citations -  1195

Mohammad Reza Aghamohammadi is an academic researcher from Shahid Beheshti University. The author has contributed to research in topics: Electric power system & Computer science. The author has an hindex of 16, co-authored 75 publications receiving 896 citations. Previous affiliations of Mohammad Reza Aghamohammadi include Power and Water University of Technology.

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A new approach for optimal sizing of battery energy storage system for primary frequency control of islanded Microgrid

TL;DR: In this paper, a method for determining the optimal size of a battery energy storage system (BESS) for primary frequency control of a microgrid is presented, by considering overloading characteristics and limitations of the state of charge (SOC) of battery.
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Intentional islanding using a new algorithm based on ant search mechanism

TL;DR: In this article, a new search algorithm based on the ant search mechanism is proposed for identifying proper islanding scenarios in network, for detecting proper islandings in power system, the security constraints considered for finding islanding scenario are load-generation balance and line overloading which are implemented using linear programming and DC load flow.
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A new approach for online coherency identification in power systems based on correlation characteristics of generators rotor oscillations

TL;DR: In this article, a new approach for identifying coherent groups of generators in power systems based on the correlation coefficients between rotor angle/speed oscillations of generators is presented, which is able to classify any number of generators into coherent groups.
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Wavelet based feature extraction of voltage profile for online voltage stability assessment using RBF neural network

TL;DR: A new approach for estimating voltage stability margin VSM, based on application of wavelet feature extraction method to network voltage profile, which has been implemented in New England 39-bus test system with promising results demonstrating its effectiveness and applicability.
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Optimal distribution feeder reconfiguration and generation scheduling for microgrid day-ahead operation in the presence of electric vehicles considering uncertainties

TL;DR: A framework is proposed to jointly perform OGS and optimal DFR on a day-ahead time frame and is formulated as a Mixed-Integer Second-Order Cone Programming (MISOCP) problem and solved by the GAMS software package.