Ahmad Rouhani and Masoud Jabbari and Sima Honarmand
A Teaching Learning Based Optimization for Optimal Design of a Hybrid Energy System
896 - 903
2015
9
8
International Journal of Energy and Power Engineering
https://publications.waset.org/pdf/10002335
https://publications.waset.org/vol/104
World Academy of Science, Engineering and Technology
This paper introduces a method to optimal design of a
hybrid WindPhotovoltaicFuel cell generation system for a typical
domestic load that is not located near the electricity grid. In this
configuration the combination of a battery, an electrolyser, and a
hydrogen storage tank are used as the energy storage system. The aim
of this design is minimization of overall cost of generation scheme
over 20 years of operation. The MatlabSimulink is applied for
choosing the appropriate structure and the optimization of system
sizing. A teaching learning based optimization is used to optimize the
cost function. An overall power management strategy is designed for
the proposed system to manage power flows among the different
energy sources and the storage unit in the system. The results have
been analyzed in terms of technical and economic. The simulation
results indicate that the proposed hybrid system would be a feasible
solution for standalone applications at remote locations.
Open Science Index 104, 2015