Mohammed Benidris

Assistant Professor

University of Nevada Reno

United States

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Mohammed Benidris is an Assistant Professor at the University of Nevada Reno, USA. His research focuses on power system reliability, particularly under the uncertainties introduced by electric vehicles and photovoltaic systems. Recent contributions include developing algorithms for voltage control and examining the performance of inverter-based resources in distributed networks. He is also involved in exploring advanced methodologies for enhancing grid resilience and stability through innovative machine learning techniques.

Mohammed Benidris

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Articles (22)

Power System Reliability Assessment Under Electric Vehicle and Photovoltaic Uncertainty

Topology-Aware Reinforcement Learning for Voltage Control: Centralized and Decentralized Strategies

Sensitivity analysis for stability region of inverter-based resources with direct method and real-time simulation setup

Grid-aware learning of characterized waveform measurements for power quality and transient events situational awareness

Assessing power profile characteristics in solar PV-storage integrated electricity markets: A quantitative study

Multi-agent voltage control in distribution systems using GAN-DRL-based approach

Real-time control of active distribution network for secondary frequency control: Design and experimental validation

An integrated adequacy and stability assessment approach for microgrid reliability analysis under inverter-based resource contingency

Postdisaster Routing of Movable Energy Resources for Enhanced Distribution System Resilience: A Deep Reinforcement Learning-Based Approach

A Fast Reliability and Sensitivity Analysis Approach for Composite Generation and Transmission Systems

Enabling Active Distribution Systems’ Participation in Tertiary Frequency Regulation Through Coalitional Game Theory-Based Reserve Allocation

A graph theory and coalitional game theory-based pre-positioning of movable energy resources for enhanced distribution system resilience

Deep reinforcement learning assisted co-optimization of Volt-VAR grid service in distribution networks

Waveform Measurement Unit-Based Fault Location in Distribution Feeders via Short-Time Matrix Pencil Method and Graph Neural Network

Multi-Stage Volt/VAR Support in Distribution Grids: Risk-Aware Scheduling With Real-Time Reinforcement Learning Control

Plug-and-Play Regional Models for Real-Time Electromagnetic Transient Simulations of Large-Scale Power Grids: A Case Study of New York State Power Grid

Quantitative Resilience-Based Assessment Framework Using EAGLE-I Power Outage Data

Optimal Sizing of Movable Energy Resources for Enhanced Resilience in Distribution Systems: A Techno-Economic Analysis

A cooperative game theory-based approach to formulation of distributed slack buses

A multi-rate sampling PMU-based event classification in active distribution grids with spectral graph neural network

Proactive Generation Redispatch to Enhance Power System Resilience During Hurricanes Considering Unavailability of Renewable Energy Sources

Enhancing Power System Operational Resilience Against Wildfires

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