Multi-Objective Optimization of Pv-Sofc-Gt-Electrolyser Hybrid System

This study shows the design of a new hybrid power generation system, photovoltaic panel (pv)– coupled solid oxide fuel cell (sofc) and gas turbine (gt)–electrolyser. three objectives (cost, pollutant emissions, and reliability), which are usually in conflict, are considered simultaneously. the design of a hybrid system, considering the three mentioned objectives, poses a very complex problem of optimization. a multi-objective optimization method (pesa) is considered to obtain the best combinations for the hybrid system. in this work, the effect of panel's angle change and sofc-gt fuel type are considered too. in order to study the effect of fuel price, this study is done about two fuel prices: iran fuel price and international fuel price.