The Computational Modeling of Grid-Connected Double-Chamber Microbial Fuel Cell (DCMFC) Bioenergy Utilizing MATLAB Simulink Software

This study presents the computational modeling and simulation of a grid-connected Double-Chamber Microbial Fuel Cell (DCMFC) bioenergy system using MATLAB/Simulink. The proposed system aims to harness bioelectricity generated from wastewater through microbial electrochemical processes and integrate it efficiently into the power grid. Experimental data obtained from DCMFC operation are used to develop a realistic model, where low-level DC output is first boosted to a higher voltage using a DC–DC converter and then converted into three-phase AC power through an inverter. The system ensures proper grid synchronization by matching voltage, frequency, phase angle, and phase sequence with grid requirements. To improve power quality, an LC filter and optimized switching techniques are employed to minimize harmonic distortion. The simulation results demonstrate stable three-phase output at 400 V and 50 Hz with a Total Harmonic Distortion (THD) of 4.75%, which satisfies IEEE and IEC standards. The study highlights the effectiveness of multilevel inverter configurations in reducing harmonics and enhancing system performance. Overall, the proposed model confirms the feasibility of integrating DCMFC-based bioenergy into modern power systems, offering a sustainable, environmentally friendly, and reliable alternative for renewable energy generation and grid support.

Keywords: Double-Chamber Microbial Fuel Cell (DCMFC), Bioenergy Generation, Grid-Connected System, MATLAB/Simulink Modeling, DC–DC Converter, Three-Phase Inverter, Total Harmonic Distortion (THD), Power Quality, Renewable Energy, Grid Synchronization,