40 citations · 44 across the 8 of their papers we have counts for
12 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…
Co-optimization of Operational Unit Commitment and Reserve Power Scheduling for Modern Grid
Ramkrishna Mishan, Matthew Egan, Mohammed Ben-Idris +1
Modern power grids combine conventional generators with distributed energy resource (DER) generators in response to concerns over climate change and long-term energy security. Due…
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.…