Reinforcement Learning approaches to Economic Dispatch problem |
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Authors: | EA Jasmin TP Imthias AhamedVP Jagathy Raj |
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Affiliation: | a Dept. of Electrical & Electronics, Govt. Engineering College, Thrissur, Kerala, India b T.K.M. College of Engineering, Kollam, Kerala, India c Cochin University of Science and Technology, Kochi, Kerala, India |
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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. |
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Keywords: | Economic Dispatch Power generation control Reinforcement Learning Q learning |
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