Parameter optimization of the biohydrogen real time power generating system using differential evolution algorithm

✍ Scribed by Sy-Ruen Huang; Chueh-Cheng Wu; Chiu-Yue Lin; Hong-Tai Chen

• Publisher: Elsevier Science
• Year: 2010
• Tongue: English
• Weight: 227 KB
• Volume: 35
• Category: Article
• ISSN: 0360-3199
• DOI: 10.1016/j.ijhydene.2010.04.038

✦ Synopsis

Biohydrogen

Real time power generating system Proton exchange membrane fuel cell (PEMFC) Differential evolution (DE) Genetic algorithm (GA) a b s t r a c t By comparing the differential evolution and genetic algorithms, this study attempts to optimize estimation of a biohydrogen real time power generating system in which circuit parameters fluctuate with operating temperature and current density. Based on uses of the differential evolution algorithm method, optimal estimation of the circuit parameters is achieved by data from a VeI characteristic experiment on the proposed biohydrogen real time power generating system. The circuit feature is then solved by formulating the estimated circuit parameters based on Kirchhoff's law to elucidate its feature of the biohydrogen real time power generating system and results show that DE is faster than GA and more accurate. Next, the estimated VeI characteristics are compared with measurement results to demonstrate the feasibility of the proposed method.