@article{(Open Science Index):https://publications.waset.org/pdf/10002335,
	  title     = {A Teaching Learning Based Optimization for Optimal Design of a Hybrid Energy System},
	  author    = {Ahmad Rouhani and  Masoud Jabbari and  Sima Honarmand},
	  country	= {},
	  institution	= {},
	  abstract     = {This paper introduces a method to optimal design of a
hybrid Wind/Photovoltaic/Fuel 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 Matlab/Simulink 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 stand-alone applications at remote locations.},
	    journal   = {International Journal of Energy and Power Engineering},
	  volume    = {9},
	  number    = {8},
	  year      = {2015},
	  pages     = {896 - 903},
	  ee        = {https://publications.waset.org/pdf/10002335},
	  url   	= {https://publications.waset.org/vol/104},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 104, 2015},