Vol 2 No 2 (2015)
Articles

Genetic Algorithm & Fuzzy Logic Based PEM Fuel Cells Power Conversion System for AC Integration

Shahid Naseem
UCEST, Lahore Leads University, Lahore, Pakistan; National College of Business Administration Lahore
M.Irfan Abid
Riphah International University, Faisalabad
Fuad Usman
UCEST, Lahore Leads University, Lahore
Fahad Ahmad
National College of Business Administration & Economics, Lahore
Arslan Butt
UCEST, Lahore Leads University, Lahore
Farhan Aas
UCEST, Lahore Leads University, Lahore
Tahir Alyas
National College of Business Administration & Economics, Lahore
Published January 13, 2016
Statistics
60 Views | 69 Downloads

Abstract

In the scientific environment, the leading variables such as voltage, current, power, heat from cooling system, membrane temperature and hydrogen pressure are uses as steady state and transient behaviors of Fuel Cells (FC). In the reproducing process of Fuel Cells (FC) variations, DC-DC converters are connected transversely its terminals, the efficiency, stability and durability are considered as operational problems for steady state. Since the Proton Exchange Fuel Cell is a non-linear process and its parameters change when it is delivering energy to the grid. The conventional controllers can’t content the control objectives.   In this paper, an intelligent DC-AC power optimization is proposed for Fuel Cell (FC) control system to produce energy in the grid stations and to improve the power quality when FC is supplying load to grid. Furthermore, a Genetic Algorithm (GA) based reactive power optimization for voltage profile improvement and real power minimization in DC-AC system. A fuzzy logic controller is also used to control active power of PEM fuel cell system. Fuzzy logic controller will modify the hydrogen flow feedback from the terminal load. At the end, we will simulate DC-AC converter for checking its efficiency, stability and durability on the basis of the genetic algorithm and fuzzy logic controller to control power generation.

Downloads

Download data is not yet available.