40 citations · 47 across the 14 of their papers we have counts for
15 papers · 1 filter
A Deep Reinforcement Learning-based Reserve Optimization in Active Distribution Systems for Tertiary Frequency Regulation
Mukesh Gautam, Rakib Hossain, Mohammad MansourLakouraj +3
Federal Energy Regulatory Commission (FERC) Orders 841 and 2222 have recommended that distributed energy resources (DERs) should participate in energy and reserve markets; therefor…
Deep Q-Learning-based Distribution Network Reconfiguration for Reliability Improvement
Mukesh Gautam, Narayan Bhusal, Mohammed Benidris
Distribution network reconfiguration (DNR) has proved to be an economical and effective way to improve the reliability of distribution systems. As optimal network configuration dep…
Reserve Allocation in Active Distribution Systems for Tertiary Frequency Regulation: A Coalitional Game Theory-based Approach
Mukesh Gautam, Mohammad MansourLakouraj, Rakib Hossain +3
This paper proposes a coalitional game theory-based approach for reserve optimization to enable DERs participate in tertiary frequency regulation. A two-stage approach is proposed…
Cyber-Physical Power System Layers: Classification, Characterization, and Interactions
Michael Abdelmalak, Narayan Bhusal, Mukesh Gautam +1
This paper provides a strategy to identify layers and sub-layers of cyber-physical power systems (CPPS) and characterize their inter- and intra-actions. The physical layer usually…
Determination of Optimal Size and Number of Movable Energy Resources for Distribution System Resilience Enhancement
Mukesh Gautam, Eliza Hotchkiss, Mohammed Ben-Idris
This paper proposes an approach based on graph theory and combinatorial enumeration for sizing of movable energy resources (MERs) to improve the resilience of the electric power su…
A Cooperative Game Theory-based Approach to Under-frequency Load Shedding Control
Mukesh Gautam, Narayan Bhusal, Mohammed Ben-Idris
This paper proposes a cooperative game theory-based under-frequency load shedding (UFLS) approach for frequency stability and control in power systems. UFLS is a crucial factor for…
Deep Ensemble Learning-based Approach to Real-time Power System State Estimation
Narayan Bhusal, Raj Mani Shukla, Mukesh Gautam +2
Power system state estimation (PSSE) is commonly formulated as weighted least-square (WLS) algorithm and solved using iterative methods such as Gauss-Newton methods. However, itera…
A GA-based Approach to Eco-driving of Electric Vehicles Considering Regenerative Braking
Mukesh Gautam, Narayan Bhusal, Mohammed Benidris +1
As the deployment of low carbon transportation technologies, specifically electric vehicles (EVs), is increasing, the concept of their eco-driving is gaining significant attention.…
Power System Dynamic State Estimation Using Extended and Unscented Kalman Filters
Narayan Bhusal, Mukesh Gautam
Accurate estimation of power system dynamics is very important for the enhancement of power system reliability, resilience, security, and stability of power system. With the increa…
A Spanning Tree-based Genetic Algorithm for Distribution Network Reconfiguration
Mukesh Gautam, Narayan Bhusal, Mohammed Benidris +1
This paper presents a spanning tree-based genetic algorithm (GA) for the reconfiguration of electrical distribution systems with the objective of minimizing active power losses. Du…
Optimal Sizing and Siting of Multi-purpose Utility-scale Shared Energy Storage Systems
Narayan Bhusal, Mukesh Gautam, Mohammed Benidris +1
This paper proposes a nondominated sorting genetic algorithm II (NSGA-II) based approach to determine optimal or near-optimal sizing and siting of multi-purpose (e.g., voltage regu…
A Sensitivity-based Approach for Optimal Siting of Distributed Energy Resources
Mukesh Gautam, Narayan Bhusal, Mohammed Benidris +2
This paper presents a sensitivity-based approach for the placement of distributed energy resources (DERs) in power systems. The approach is based on the fact that most planning stu…
Modeling of Natural Disasters and Extreme Events in Power System Resilience Enhancement and Evaluation Methods
Narayan Bhusal, Mukesh Gautam, Michael Abdelmalak +1
The frequency of disruptive and newly emerging threats (e.g. man-made attacks--cyber and physical attacks; extreme natural events--hurricanes, earthquakes, and floods) has escalate…
Sizing of Movable Energy Resources for Service Restoration and Reliability Enhancement
Narayan Bhusal, Mukesh Gautam, Mohammed Benidris
The frequency of extreme events (e.g., hurricanes, earthquakes, and floods) and man-made attacks (cyber and physical attacks) has increased dramatically in recent years. These even…
Cybersecurity of Electric Vehicle Smart Charging Management Systems
Narayan Bhusal, Mukesh Gautam, Mohammed Benidris
In concept, a smart charging management system (SCMS) optimizes the charging of plug-in vehicles (PEVs) and provides various grid services including voltage control, frequency regu…