Jagathy Raj, V P; Jasmin, E A; Imthias Ahamed, T P(IEEE, November 19, 2008)
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Abstract:
Reinforcement Learning (RL) refers to a class of
learning algorithms in which learning system learns which
action to take in different situations by using a scalar
evaluation received from the environment on performing
an action. RL has been successfully applied to many multi
stage decision making problem (MDP) where in each stage
the learning systems decides which action has to be taken.
Economic Dispatch (ED) problem is an important
scheduling problem in power systems, which decides the
amount of generation to be allocated to each generating
unit so that the total cost of generation is minimized
without violating system constraints. In this paper we
formulate economic dispatch problem as a multi stage
decision making problem. In this paper, we also develop
RL based algorithm to solve the ED problem. The
performance of our algorithm is compared with other
recent methods. The main advantage of our method is it
can learn the schedule for all possible demands
simultaneously.