Optimal power scheduling of an off-grid renewable hybrid system used for heating and lighting in a typical residential house
2013 13th International Conference on Environment and Electrical Engineering, EEEIC 2013, Wroclaw, Poland, 1 - 03 November 2013, pp.352-355, (Full Text)
- Publication Type: Conference Paper / Full Text
- Doi Number: 10.1109/eeeic-2.2013.6737935
- City: Wroclaw
- Country: Poland
- Page Numbers: pp.352-355
- Keywords: Cost reduction, Genetic algorithms, Microgrid renewable systems, Optimal power schedulin
- İstanbul Ticaret University Affiliated: No
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. © 2013 IEEE.