Yang Y.Z.Chen P.J.Lin C.S.Wang F.C.2019-07-032019-07-0320179.78491E+12https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044124901&doi=10.23919%2fSICE.2017.8105651&partnerID=40&md5=f8531b4e435a5e7bae1d55043d7d224dhttps://scholars.lib.ntu.edu.tw/handle/123456789/412554This paper develops an iterative searching method to find the optimal power management strategy and component sizes for a hybrid power system that consists of a proton exchange membrane fuel cell, a chemical hydrogen production system, photovoltaic arrays, and a Li-Fe secondary battery set. In order to find the most suitable power management and component sizes, we build a MATLAB/SimPowerSystem simulation model and adjust the model parameters based on experimental responses. Then we define performance indexes to evaluate the impacts of power management and component sizes on system costs and reliability. Because the number of adjustable parameters is large, we develop a searching method to iteratively derive the optimal solutions. Last, we apply the office loads to demonstrate that the hybrid system can be customized designed with optimal power management and component sizes. © 2017 The Society of Instrument and Control Engineers - SICE.hybrid power system; Li-Fe battery; optimization; PEMFC; PV array; SimPowerSystem[SDGs]SDG7Binary alloys; Energy management; Fuel cells; Hybrid systems; Hydrogen production; Iterative methods; MATLAB; Online searching; Optimization; Photovoltaic cells; Power management; Adjustable parameters; Fe batteries; Hybrid power systems; Hydrogen production systems; Iterative Optimization; Performance indices; PV arrays; SimPowerSystem; Proton exchange membrane fuel cells (PEMFC)conference paper10.23919/SICE.2017.81056512-s2.0-85044124901