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Please use this identifier to cite or link to this item: http://purl.org/purl/4480

Title: A Reinforcement Learning Algorithm to Economic Dispatch Considering Transmission Losses
Authors: Jagathy Raj, V P
Jasmin, E A
Imthias Ahamed, T P
Keywords: Economic Dispatch
Multi-stage Decision Making Problem
Reinforcement Learning
Q learning
Issue Date: 19-Nov-2008
Publisher: IEEE
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.
Description: TENCON 2008-2008 IEEE Region 10 Conference
URI: http://dyuthi.cusat.ac.in/purl/4480
Appears in Collections:Dr.Jagathy Raj V P

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