Q-Learning based Maximum Power Point Tracking Control for Microbial Fuel Cell

• Published in: International journal of electrochemical science Vol. 15; no. 10; pp. 9917 - 9932
• Main Authors: Fan, Li-ping, Feng, Xiang
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.10.2020
• Subjects: greedy policy; maximum power point tracking; microbial fuel cell; perturbation and observation; Q-Learning; perturbation and observation; Q-Learning; microbial fuel cell; greedy policy; maximum power point tracking

Microbial fuel cell (MFC) is a promising technology for wastewater treatment with simultaneous bioenergy production. To improve the power generation efficiency of MFCs, maximum power point tracking control is a good choice. Three kinds of Q-Learning-based maximum power point tracking control scheme...