Title :
Microgrid energy management system using fuzzy logic control
Author :
Roine, Lydie ; Therani, Kambiz ; Manjili, Yashar Sahraei ; Jamshidi, Mo
Author_Institution :
Dept. of Electr. Eng., Esigelec, Rouen, France
Abstract :
A microgrid is a small-scale grid designed to provide power to local communities and be able to connect or disconnect from the main grid, is studied. Considering solar panel and wind turbine as generators, the load is assimilated to a residential demand. The aim of this paper is the regulation of the energy management for a regular day in summer via intelligent control. The command approach used for fuzzy logic rules, considering electricity prices, renewable production, load demand as parameters. Furthermore, the command rules are developed in order to ensure a reliable grid taking into account the financial aspect to decide the load modification´s level. We show the theoretical and simulation results in this paper.
Keywords :
distributed power generation; fuzzy control; intelligent control; load management; power generation control; power generation economics; solar power stations; wind turbines; command approach; command rules; electricity prices; fuzzy logic control; fuzzy logic rules; intelligent control; load demand; microgrid energy management system; renewable production; small-scale grid; solar panel; wind turbine; Electricity; Input variables; Intelligent control; Load modeling; Reliability; Wind power generation; Wind turbines; Energy Management; Fuzzy Logic; Load Demand; Load Modification; Microgrid Network; Solar Panel; Variable Electricity Price;
Conference_Titel :
World Automation Congress (WAC), 2014
Conference_Location :
Waikoloa, HI
DOI :
10.1109/WAC.2014.6936001