40 citations · 47 across the 10 of their papers we have counts for
14 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…
Hosting Capacity Approach Implications
Narayan Bhusal, Andrija Sadikovic, Mohammed Ben-Idris
This paper revisits the generation hosting capacity (HC) calculation approach to account for grid operational flexibility--the ability to reconfigure the system safely. In essence,…
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…