Two-Level Modeling Approach Based On Imperialist Competitive Algorithm for Power Management of GT/SOFC/RES Hybrid System

This paper presents a multi-energy system for micro-grid in which a wind-powered P۲G is coupled with a detailed thermos-economic model of solid oxide fuel cell/gas turbine (SOFC/GT) hybrid system. The two-levels structure for optimizing the specific integrated energy system studied here is modeled and solved using Imperialist Competitive Algorithm (ICA). Imperialist Competitive Algorithm is an iterative and global search method which has the ability of finding optimal solutions to a given problem. For system planning, the optimal balance between the least wind curtailment rate and total life cycle cost (LCC) is determined. With the power management strategy applied, the SOFC/GT could operate under the maximum electrical efficiency of ۶۷.۱% with safety constraints satisfied, making up only half investment cost of P۲G.

کلیدواژه ها:

Wind energy system-powered P۲G ، solid oxide fuel cell/gas turbine (SOFC/GT) hybrid system ، power management strategy ، Imperialist Competitive Algorithm