Uncertainty-Aware Transient Stability-Constrained Preventive Redispatch: A Distributional Reinforcement Learning Approach.
Zhengcheng WangFei TengYanzhen ZhouQinglai GuoHongbin SunPublished in: CoRR (2024)
Keyphrases
- reinforcement learning
- function approximation
- partial observability
- stability analysis
- co occurrence
- optimal policy
- steady state
- reinforcement learning algorithms
- learning algorithm
- state space
- stability margin
- inherent uncertainty
- multi agent reinforcement learning
- temporal difference learning
- action selection
- optimal control
- dynamic programming
- model free
- temporal difference
- expected utility
- partially observable
- radial basis function
- markov decision processes
- learning process
- decision trees
- neural network