Optimal Design of Fuel-cell, Wind and Micro-hydro Hybrid System using Genetic Algorithm
Abstract: The target of
stand-alone hybrid power generation system was to supply the load demand with
high reliability and economically as possible. An intelligent optimization
technique using Genetic Algorithm is required to design the system.This study
utilized Genetic Algorithm method to determine the optimal capacities of
hydrogen, wind turbines and micro-hydro unit according to the minimum cost
objective functions.The minimum cost valutes to these two factors. In this
study, the cost objective function included the annual capital cost, annual
operation maintenance cost, annual replacement cost and annual customer damage
cost. The proposed method will be used to optimize the hybrid power generation
system located in Leuwijawa village in Central Java of Indonesia. Simulation
results showed that the optimum configuration can be achieved using 19.85 ton
of hydrogen tanks, 21x100 kW wind turbines and 610 kW of micro-hydro unit
respectively
Author: Soedibyo, Heri
Suryoatmojo, Imam Robandi, Mochamad Ashari
Journal Code: jptkomputergg120099
