Artificial intelligence based active and reactive power control method for single-phase grid connected hydrogen fuel cell systems
Künye
Yilmaz, U., Turksoy, O. (2023). Artificial intelligence based active and reactive power control method for single-phase grid connected hydrogen fuel cell systems. International Journal of Hydrogen Energy, 48 (21), pp. 7866-7883. https://doi.org/10.1016/j.ijhydene.2022.11.211Özet
In grid-connected power generation systems, power factor fluctuations caused by non-linear power circuits used between the grid and source should be controlled with the help of voltage source inverters (VSI). In addition, in order to improve the quality of the electrical energy injected into the grid and to prevent possible electrical faults, the total harmonic distortion (THD) in the grid current should be controlled in accordance with IEEE-519 standards. In other respects, uncontrolled injected energy may causes losses, excessive electrical energy demand and overloading. In this study, an artificial neural network based active and reactive power control method is proposed for grid-connected single-phase Proton Exchange Membrane Hydrogen Fuel Cell (PEMFC). The aim of the proposed control structure is to have low harmonic distortion, high power factor performance as well as an easy and understandable structure. The proposed method was applied to a 6 kW prototype. Five different scenarios and nine different activation function were tried to verify the performance of the proposed control method. As a result of these processes, the power factor was measured as unity (>0.99) and the total harmonic distortion (THD) of the grid current, under all operation states, is [removed]97%.