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Discrete reactive power optimization considering safety margin by dimensional Q-learning.
X. Y. Shang
Mengshi Li
T. Y. Ji
Luliang Zhang
Qinghua Wu
Published in:
ISGT Asia (2015)
Keyphrases
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reactive power optimization
power system
reinforcement learning
genetic algorithm
function approximation
support vector
multi agent
cooperative
state space
learning rate
neural network
learning algorithm
model free
continuous state spaces
optimal power flow
optimal policy
continuous state and action spaces