Optimizing circuit parameters of the biohydrogen real-time power generating system by genetic algorithm

• Published in: International journal of hydrogen energy 2008-03, Vol.33 (5), p.1598-1606
• Main Authors: Huang, Sy-Ruen, Lin, Chiu-Yue, Wu, Chueh-Cheng, Liu, Shun-Tsai, Lin, Liang-Chieh, Yun, Shin-Joe
• Format: Article
• Language: English
• Subjects: Alternative fuels. Production and utilization; Applied sciences; Biohydrogen; Energy; Energy. Thermal use of fuels; Equipments for energy generation and conversion: thermal, electrical, mechanical energy, etc; Exact sciences and technology; Fuel cells; Fuels; Genetic algorithm (GA); Hydrogen; Penalty-function; Proton exchange membrane fuel cell (PEMFC); Real-time power generating system
• ISSN: 0360-3199; 1879-3487
• DOI: 10.1016/j.ijhydene.2007.10.051

This study performs optimal estimation of circuit parameters for a biohydrogen real-time power generating system by using a penalty-function genetic algorithm (GA). Circuit parameters of this system change with operating temperature and current density; some circuit parameters are nonlinear. To elucidate the circuit characteristics of the whole system, this study uses penalty-function GA to optimally estimate circuit parameters using data from a V – I characteristic experiment on novel biohydrogen real-time power generating system. This study then solves the circuit characteristic by the estimated circuit parameters formulated utilizing Kirchhoff's law. Then, the estimated V – I characteristic is then compared with actual measurements to verify the feasibility of this novel approach. In the same manner, the capacitor parameter of the biohydrogen real-time power generating system can be estimated to identify the alternating current (AC) equivalent circuit for this system.