Reinforcement Learning approaches to Economic Dispatch problem

E A Jasmin

doi:10.1016/j.ijepes.2010.12.008

Reinforcement Learning approaches to Economic Dispatch problem

2011-05-01

51

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AI

DOI：10.1016/j.ijepes.2010.12.008

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Abstract

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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. (C) 2011 Elsevier Ltd. All rights reserved.

Keywords:

Economic Dispatch

Power generation control

Reinforcement Learning

Q learning

Reinforcement Learning approaches to Economic Dispatch problem

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