7 papers
Inter-Area Oscillation Damping in Data-Center-Integrated Power Systems
Ahmed Alfatlawi, Masoud H. Nazari
This paper develops explicit dynamic models of a hyperscale data center, including its heating, ventilation, and air conditioning (HVAC) and uninterruptible power supply (UPS) subs…
A Learning-Driven Stochastic Hybrid System Framework for Detecting Unobservable Contingencies in Power Systems
Hamid Varmazyari, Masoud H. Nazari
This paper presents a new learning based Stochastic Hybrid System (LSHS) framework designed for the detection and classification of contingencies in modern power systems. Unlike co…
A Review of Community-Centric Power System Resilience: Strategies, Data-Driven Methods, and Techno-Legal Perspectives
Masoud H. Nazari, Hamid Varmazyari, Antar Kumar Biswas +3
This paper presents a comprehensive review of community-centric power system resilience, emphasizing the integration of community-level resilience considerations and techno-legal g…
A Learning-based Hybrid System Approach for Detecting Contingencies in Distribution Grids with Inverter-Based Resources
Hamid Varmazyari, Masoud H. Nazari
This paper presents a machine-learning based Stochastic Hybrid System (SHS) modeling framework to detect contingencies in active distribution networks populated with inverter-based…
Detecting Unobservable Contingencies in Active Distribution Systems Using a Stochastic Hybrid Systems Approach
Erfan Mehdipour Abadi, Hamid Varmazyari, Masoud H. Nazari
This paper introduces a distributed contingency detection algorithm for detecting unobservable contingencies in power distribution systems using stochastic hybrid system (SHS) mode…
Early Detection and Classification of Hidden Contingencies in Modern Power Systems: A Learning-based Stochastic Hybrid System Approach
Erfan Mehdipour Abadi, Hamid Varmazyari, Masoud H. Nazari
This paper introduces a novel learning-based Stochastic Hybrid System (LSHS) approach for detecting and classifying various contingencies in modern power systems. Specifically, the…
Distributed Anomaly Detection in Modern Power Systems: A Penalty-based Mitigation Approach
Erfan Mehdipour Abadi, Masoud H. Nazari
The evolving landscape of electric power networks, influenced by the integration of distributed energy resources require the development of novel power system monitoring and contro…