An Fuzzy improved perturb and observe (P&O) maximum power point tracking (MPPT) algorithm for Microbial Fuel Cells
Microbial fuel cells (MFCs) are getting more and more attention due to their unique wastewater treatment and synchronous power generation capabilities. In order to improve their power generation efficiency, maximum power point tracking (MPPT) control becomes necessary. Aiming at the problems of slow...
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| Veröffentlicht in: | International journal of electrochemical science 2022-11, Vol.17 (11), p.221157, Article 221157 |
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| creator | Fan, Li-ping Chen, Qi-peng Guo, Zhi-qiang |
| description | Microbial fuel cells (MFCs) are getting more and more attention due to their unique wastewater treatment and synchronous power generation capabilities. In order to improve their power generation efficiency, maximum power point tracking (MPPT) control becomes necessary. Aiming at the problems of slow tracking speed and serious steady-state oscillation in the traditional perturb & observe algorithm (P&O), an improved P&O method based on fuzzy control is proposed, a fuzzy logic controller is designed to adjust the disturbance step in real time to quickly find the maximum power point and make the MFC run stably at the maximum power point. Simulation results show that the proposed fuzzy improved P&O method can greatly improve the response speed, reduce the steady-state oscillation, and effectively resist the influence of various disturbances. |
| doi_str_mv | 10.20964/2022.11.49 |
| format | Article |
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In order to improve their power generation efficiency, maximum power point tracking (MPPT) control becomes necessary. Aiming at the problems of slow tracking speed and serious steady-state oscillation in the traditional perturb & observe algorithm (P&O), an improved P&O method based on fuzzy control is proposed, a fuzzy logic controller is designed to adjust the disturbance step in real time to quickly find the maximum power point and make the MFC run stably at the maximum power point. Simulation results show that the proposed fuzzy improved P&O method can greatly improve the response speed, reduce the steady-state oscillation, and effectively resist the influence of various disturbances.</description><identifier>ISSN: 1452-3981</identifier><identifier>EISSN: 1452-3981</identifier><identifier>DOI: 10.20964/2022.11.49</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>energy efficiency ; fuel cells ; fuzzy control ; maximum power point trackers ; perturbation methods</subject><ispartof>International journal of electrochemical science, 2022-11, Vol.17 (11), p.221157, Article 221157</ispartof><rights>2022 The Authors. 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In order to improve their power generation efficiency, maximum power point tracking (MPPT) control becomes necessary. Aiming at the problems of slow tracking speed and serious steady-state oscillation in the traditional perturb & observe algorithm (P&O), an improved P&O method based on fuzzy control is proposed, a fuzzy logic controller is designed to adjust the disturbance step in real time to quickly find the maximum power point and make the MFC run stably at the maximum power point. 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In order to improve their power generation efficiency, maximum power point tracking (MPPT) control becomes necessary. Aiming at the problems of slow tracking speed and serious steady-state oscillation in the traditional perturb & observe algorithm (P&O), an improved P&O method based on fuzzy control is proposed, a fuzzy logic controller is designed to adjust the disturbance step in real time to quickly find the maximum power point and make the MFC run stably at the maximum power point. Simulation results show that the proposed fuzzy improved P&O method can greatly improve the response speed, reduce the steady-state oscillation, and effectively resist the influence of various disturbances.</abstract><pub>Elsevier B.V</pub><doi>10.20964/2022.11.49</doi><oa>free_for_read</oa></addata></record> |
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| source | Full-Text Journals in Chemistry (Open access); Alma/SFX Local Collection; EZB Electronic Journals Library |
| subjects | energy efficiency fuel cells fuzzy control maximum power point trackers perturbation methods |
| title | An Fuzzy improved perturb and observe (P&O) maximum power point tracking (MPPT) algorithm for Microbial Fuel Cells |
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