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Please use this identifier to cite or link to this item: http://purl.org/purl/4484

Title: Reinforcement Learning approaches to Economic Dispatch problem
Authors: Jagathy Raj, V P
Jasmin, E A
Imthias Ahamed, T P
Keywords: Economic Dispatch
Power generation control
Reinforcement Learning
Q learning
Issue Date: 5-Feb-2011
Publisher: Elsevier
Abstract: This paper presents Reinforcement Learning (RL) approaches to Economic Dispatch problem. In this paper, formulation of Economic Dispatch as a multi stage decision making problem is carried out, then two variants of RL algorithms are presented. A third algorithm which takes into consideration the transmission losses is also explained. Efficiency and flexibility of the proposed algorithms are demonstrated through different representative systems: a three generator system with given generation cost table, IEEE 30 bus system with quadratic cost functions, 10 generator system having piecewise quadratic cost functions and a 20 generator system considering transmission losses. A comparison of the computation times of different algorithms is also carried out.
Description: Electrical Power and Energy Systems 33 (2011) 836–845
URI: http://dyuthi.cusat.ac.in/purl/4484
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