Bacteria Foraging Reinforcement Learning for Risk-Based Economic Dispatch via Knowledge Transfer

Chuanjia Han, Bo Yang, Tao Bao, Tao Yu and Xiaoshun Zhang
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Chuanjia Han: School of Electric Power, South China University of Technology, Guangzhou 510640, China
Bo Yang: Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China
Tao Bao: School of Electric Power, South China University of Technology, Guangzhou 510640, China
Tao Yu: School of Electric Power, South China University of Technology, Guangzhou 510640, China
Xiaoshun Zhang: School of Electric Power, South China University of Technology, Guangzhou 510640, China

Energies, 2017, vol. 10, issue 5, 1-24

Abstract: This paper proposes a novel bacteria foraging reinforcement learning with knowledge transfer method for risk-based economic dispatch, in which the economic dispatch is integrated with risk assessment theory to represent the uncertainties of active power demand and contingencies during power system operations. Moreover, a multi-agent collaboration is employed to accelerate the convergence of knowledge matrix, which is decomposed into several lower dimension sub-matrices via a knowledge extension, thus the curse of dimension can be effectively avoided. Besides, the convergence rate of bacteria foraging reinforcement learning is increased dramatically through a knowledge transfer after obtaining the optimal knowledge matrices of source tasks in pre-learning. The performance of bacteria foraging reinforcement learning has been thoroughly evaluated on IEEE RTS-79 system. Simulation results demonstrate that it can outperform conventional artificial intelligence algorithms in terms of global convergence and convergence rate.

Keywords: bacteria foraging reinforcement learning; risk-based economic dispatch; knowledge matrix; knowledge transfer (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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