DocumentCode
256970
Title
Optimal configuration for distributed generations in micro-grid system considering diesel as the main control source
Author
Yanbin Li ; Xiang Chen ; Junming Xiao ; Xuehui Wei
Author_Institution
Sch. of Electr. & Inf. Eng., Zhongyuan Univ. of Technol., Zhengzhou, China
fYear
2014
fDate
10-12 Aug. 2014
Firstpage
552
Lastpage
556
Abstract
This paper purposes an optimal configuration of the distributed hybrid renewable generations based the stand-alone micro-grid system, considering the diesel as the main control source. Due to the natural sources and load of user changes randomly and the nonlinearity of the power output by renewable generations, an intelligent optimization method based improved genetic algorithm and the control strategy were discussed with the hybrid renewable system which the model form is wind-PV(Photovoltaic)-diesel-battery. The instance analysis comparing the optimization result of the hybrid system based on HOMER and improved GA(Genetic Algorithm) method on MATLAB. The simulation result of the optimal configuration showed the new hybrid renewable system would improve the power supply situation which decreased the cost of energy greatly compared with the conventional form of power supply system which was operated only by diesel. And the conclusion of the comparing result between HOMER and improved GA method showed the advantages of the strategy for the diesel as main control sources.
Keywords
diesel-electric generators; distributed power generation; genetic algorithms; hybrid power systems; power distribution control; power engineering computing; power generation control; power grids; GA; HOMER software; MATLAB; control source; diesel generator; distributed hybrid renewable generations; genetic algorithm; intelligent optimization method; microgrid system; optimal configuration; wind-photovoltaic-diesel-battery; Batteries; Generators; Genetic algorithms; Hybrid power systems; Optimization; Power supplies; HOMER; distributed generations; genetic algorithm; micro grid; renewable generations;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Mechatronic Systems (ICAMechS), 2014 International Conference on
Conference_Location
Kumamoto
Type
conf
DOI
10.1109/ICAMechS.2014.6911607
Filename
6911607
Link To Document