DocumentCode :
3268616
Title :
Optimal power scheduling of an off-grid renewable hybrid system used for heating and lighting in a typical residential house
Author :
Tutkun, Nedim ; San, Ender Sinan
Author_Institution :
Dept. of Electr. & Electron. Eng, Duzce Univ., Duzce, Turkey
fYear :
2013
fDate :
1-3 Nov. 2013
Firstpage :
352
Lastpage :
355
Abstract :
In Turkey, there is a significant increase in demand for electricity due to population and economic growth taken place in recent years. This is a major economic factor affecting electricity price on market as well as other factors such as an increase in oil and natural gas prices. To be more specific around 50% of electricity is generated by natural gas generators and 95% of natural gas is imported from other countries. However, Turkey has considerable amount of wind and solar energy potentials to generate electricity through wind turbines and photo-voltaic arrays either on-grid or off-grid. An off-grid hybrid system is more attractive in rural areas where access to grid is limited or unavailable. This study focuses on a power scheduling in a simple renewable hybrid system in order to minimize the operational unit cost using the binary-coded genetic algorithm instead of using mixed integer linear programming. The preliminary results indicated that the binary-coded genetic algorithm produced encouraging and meaningful outcomes to minimize operational unit cost in a typical renewable microgrid photo-voltaic/wind hybrid system.
Keywords :
binary codes; distributed power generation; electric heating; genetic algorithms; hybrid power systems; lighting; photovoltaic power systems; power distribution economics; power generation economics; power generation scheduling; power grids; power markets; pricing; wind power plants; Turkey; binary-coded genetic algorithm; economic growth factor; electricity market; electricity price; heating; lighting; mixed integer linear programming; natural gas generator price; off-grid renewable hybrid system; oil price; on-grid hybrid system; optimal power scheduling; photovoltaic array; renewable microgrid photovoltaic-wind hybrid system; residential house; solar energy potential; wind energy potential; wind turbine; Batteries; Electricity; Hybrid power systems; Power demand; Sociology; Statistics; Wind turbines; Cost reduction; Genetic algorithms; Microgrid renewable systems; Optimal power schedulin;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Environment and Electrical Engineering (EEEIC), 2013 13th International Conference on
Conference_Location :
Wroclaw
Print_ISBN :
978-1-4799-2802-6
Type :
conf
DOI :
10.1109/EEEIC-2.2013.6737935
Filename :
6737935
Link To Document :
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