Optimal design of a grid connected hybrid electrical energy system using evolutionary computation

Author

Perera, A.T.D. ; Attalage, R.A. ; Perera, K.K.C.K.

Author_Institution

Dept. of Mech. Eng., Univ. of Moratuwa, Moratuwa, Sri Lanka

fYear

2013

fDate

17-20 Dec. 2013

Firstpage

12

Lastpage

17

Abstract

Hybrid Energy Systems (HESs) are becoming attractive solution for both grid connected and stand-alone applications. A number of factors need to be considered in designing HESs where multi-objective optimization becomes useful. Multi-objective optimization is used in this study to arrive at optimum systems designs for a grid connected HES considering Levelized Energy Cost (LEC) and Level of Grid Integration (LGI) as objective functions. Sensitivity analysis was conducted subsequently, considering factors like equipment cost and cost of grid electricity.

Keywords

evolutionary computation; hybrid power systems; power generation economics; power grids; solar power stations; wind power plants; equipment cost; evolutionary computation; grid connected hybrid electrical energy system; grid electricity cost; grid integration level; levelized energy cost; multiobjective optimization; objective functions; Batteries; Electricity; Mathematical model; Optimization; Renewable energy sources; Wind speed; Wind turbines; Distributed Energy Systems; Grid Connected Applications; Hybrid Energy Systems (HES); Multi Objective Optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial and Information Systems (ICIIS), 2013 8th IEEE International Conference on

Conference_Location

Peradeniya

Print_ISBN

978-1-4799-0908-7

Type

conf

DOI

10.1109/ICIInfS.2013.6731947

Filename

6731947