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Please use this identifier to cite or link to this item: http://purl.org/purl/4494

Title: Reinforcement Learning solution for Unit Commitment Problem through pursuit method
Authors: Jagathy Raj, V P
Jasmin, E A
Imthias Ahamed, T P
Keywords: Unit Commitment
reinforcement learning
Q learning.
Issue Date: 28-Dec-2009
Publisher: IEEE
Abstract: Unit commitment is an optimization task in electric power generation control sector. It involves scheduling the ON/OFF status of the generating units to meet the load demand with minimum generation cost satisfying the different constraints existing in the system. Numerical solutions developed are limited for small systems and heuristic methodologies find difficulty in handling stochastic cost functions associated with practical systems. This paper models Unit Commitment as a multi stage decision task and Reinforcement Learning solution is formulated through one efficient exploration strategy: Pursuit method. The correctness and efficiency of the developed solutions are verified for standard test systems
Description: Advances in Computing, Control, & Telecommunication Technologies, 2009. ACT'09. International Conference on
URI: http://dyuthi.cusat.ac.in/purl/4494
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