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Found 4 papers, 2 papers with code
Tensor Power Flow Formulations for Multidimensional Analyses in Distribution Systems
In this paper, we present two multidimensional power flow formulations based on a fixed-point iteration (FPI) algorithm to efficiently solve hundreds of thousands of power flows in distribution systems.
A Constraint Enforcement Deep Reinforcement Learning Framework for Optimal Energy Storage Systems Dispatch
The optimal dispatch of energy storage systems (ESSs) presents formidable challenges due to the uncertainty introduced by fluctuations in dynamic prices, demand consumption, and renewable-based energy generation.
Optimal Energy System Scheduling Using A Constraint-Aware Reinforcement Learning Algorithm
To overcome this, in this paper, a DRL algorithm (namely MIP-DQN) is proposed, capable of \textit{strictly} enforcing all operational constraints in the action space, ensuring the feasibility of the defined schedule in real-time operation.
A Compensation Mechanism for EV Flexibility Services using Discrete Utility Functions
This paper proposes a compensation mechanism using EV flexibility management of a set of charging sessions managed by a charging point operator (CPO).
