Reinforcement Learning approaches to Economic Dispatch problem
Data(s) |
04/08/2014
04/08/2014
05/02/2011
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Resumo |
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. Electrical Power and Energy Systems 33 (2011) 836–845 Cochin University of Science and Technology |
Identificador | |
Idioma(s) |
en |
Publicador |
Elsevier |
Palavras-Chave | #Economic Dispatch #Power generation control #Reinforcement Learning #Q learning |
Tipo |
Article |