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Found 4 papers, 1 papers with code
A Deep Reinforcement Learning-based Reserve Optimization in Active Distribution Systems for Tertiary Frequency Regulation
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
In this paper, a Deep Q Learning-based framework is proposed for the optimal DNR to improve reliability of the system.
Reserve Allocation in Active Distribution Systems for Tertiary Frequency Regulation: A Coalitional Game Theory-based Approach
This paper proposes a coalitional game theory-based approach for reserve optimization to enable DERs participate in tertiary frequency regulation.
Deep Ensemble Learning-based Approach to Real-time Power System State Estimation
Appropriate PSSE approaches are required to avoid pitfalls of the WLS-based PSSE computations for accurate prediction of operating conditions.
