collaborators

5 papers

eess.SY2023

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…

eess.SY2023

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…

eess.SY2023

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…

eess.SY2023

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…

eess.SY2023

Coalitional Game Theory in Power Systems: Applications, Challenges, and Future Directions

Mukesh Gautam, Mohammed Ben-Idris

Game theory-based approaches have recently gained traction in a wide range of applications, importantly in power and energy systems. With the onset of cooperation as a new perspect…