Design of fuzzy power system for distributed generation system

Author

Wang, Aihua

Author_Institution

Sch. of Electr. & Electron. Eng. Sch., Nanjing Inst. of Ind. Technol., Nanjing, China

Volume

2

fYear

2011

fDate

25-28 July 2011

Firstpage

881

Lastpage

884

Abstract

In this paper, an efficient power control system for distributed generation system was proposed. In this design, the sequential quadratic programming algorithm was first utilized to obtain an optimal solution for power distribution among multiple distributed generation units. Fuzzy system then was developed to implement the optimal strategies on the basis of optimal solution. In addition, the parameters of the fuzzy system were adapted via a genetic algorithm. The simulation results illustrate methodology described could be useful for a range of control system design.

Keywords

control system synthesis; distributed power generation; fuzzy systems; genetic algorithms; power distribution control; power generation control; power system planning; quadratic programming; control system design; distributed generation system; distributed generation units; fuzzy power system design; genetic algorithm; power control system; power distribution; sequential quadratic programming algorithm; Engines; Fuzzy logic; Fuzzy systems; Genetic algorithms; Optimization; Power control; Power distribution; Distributed generation; fuzzy logic; genetic algorithm; optimization; power control system;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Information Processing (ICICIP), 2011 2nd International Conference on

Conference_Location

Harbin

Print_ISBN

978-1-4577-0813-8

Type

conf

DOI

10.1109/ICICIP.2011.6008376

Filename

6008376