Search Results for author: Mukesh Gautam

Found 8 papers, 1 papers with code

A Deep Reinforcement Learning-based Reserve Optimization in Active Distribution Systems for Tertiary Frequency Regulation

no code implementations7 May 2023 Mukesh Gautam, Rakib Hossain, Mohammad MansourLakouraj, Narayan Bhusal, Mohammed Benidris, Hanif Livani

Federal Energy Regulatory Commission (FERC) Orders 841 and 2222 have recommended that distributed energy resources (DERs) should participate in energy and reserve markets; therefore, a mechanism needs to be developed to facilitate DERs' participation at the distribution level.

Deep Q-Learning-based Distribution Network Reconfiguration for Reliability Improvement

no code implementations2 May 2023 Mukesh Gautam, Narayan Bhusal, Mohammed Benidris

In this paper, a Deep Q Learning-based framework is proposed for the optimal DNR to improve reliability of the system.

Q-Learning

Reserve Allocation in Active Distribution Systems for Tertiary Frequency Regulation: A Coalitional Game Theory-based Approach

no code implementations2 May 2023 Mukesh Gautam, Mohammad MansourLakouraj, Rakib Hossain, Narayan Bhusal, Mohammed Benidris, Hanif Livani

This paper proposes a coalitional game theory-based approach for reserve optimization to enable DERs participate in tertiary frequency regulation.

Cyber-Physical Power System Layers: Classification, Characterization, and Interactions

no code implementations14 Feb 2023 Michael Abdelmalak, Narayan Bhusal, Mukesh Gautam, Mohammed Ben-Idris

Combining components of the cyber layer in one layer complicates the process of modeling intra-actions because each component has different failure modes.

Classification

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

no code implementations14 Feb 2023 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.

A Cooperative Game Theory-based Approach to Under-frequency Load Shedding Control

no code implementations27 Jun 2021 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.

Deep Ensemble Learning-based Approach to Real-time Power System State Estimation

1 code implementation10 Jan 2021 Narayan Bhusal, Raj Mani Shukla, Mukesh Gautam, Mohammed Benidris, Shamik Sengupta

Appropriate PSSE approaches are required to avoid pitfalls of the WLS-based PSSE computations for accurate prediction of operating conditions.

Ensemble Learning

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