×
The submission system is temporarily under maintenance. Please send your manuscripts to
Go to Editorial ManagerThe operational variables of Proton Exchange Membrane Fuel Cell (PEMFC) such as cell temperature, hydrogen gas pressures, and oxygen gas pressures are highly effect on the power generation from the PEMFC. Therefore, the Maximum Power Point Tracker (MPPT) should be used to increase the efficiency of PEMFC at different operational variables. Unfortunately, the majority of conventional MPPT algorithms will cause PEMFC damage and power loss by producing steady-state oscillations. This paper focuses on enhancing the efficiency of the Proton Exchange Membrane Fuel Cell through the utilization of advanced control methods: Grey Wolf Optimizer (GWO), GWO with a PID controller and perturbation and observation (P&O) techniques. The objective is to effectively manage power output by pinpointing the maximum power point and reducing stable oscillations. The study evaluates these methods in swiftly changing operational scenarios and compares their performances. The obtained results show that the GWO with a PID controller increase generation power.
The Maximal Power Point Tracking (MPPT) is a method employed to maximize the generated power from an energy source, such as PV (photovoltaic) or PEMFC (Proton Exchange Membrane Fuel Cell). In this study, the Grey Wolf Optimizer algorithm is utilized for the MPPT to regulate the boost converter positioned between the stack cell and the battery. The primary challenge addressed by the MPPT is that the efficiency of PEMFC is influenced by the supplied gases and cell temperature. To maintain optimal performance, the system aims to operate at the efficient power point, and the MPPT assists in achieving this by adjusting the voltage to align with the point where the PEMFC characteristic yields the maximum available power. Consequently, the MPPT’s objective is to identify the Maximum Power Point (MPP) and guide the PEMFC to operate at this specific point. This process is essential to overcome challenges associated with fluctuating inputs and to optimize the system for improved performance in a PEMFC. Typically, the MPPT control algorithm involves modifying the converter duty cycle (denoted as D) to compel the PEMFCs to operate at their MPP, ensuring efficient power production even under varying input conditions