Title :
Optimization of Fuzzy Power System for Distributed Generation System Using Genetic Algorithm
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanjing Inst. of Ind. Technol., Nanjing, China
Abstract :
This paper proposed a fuzzy power control system for distributed generation system. Fuzzy system was first developed to implement power distribution among multiple distributed generation units on the basis of optimal solution of quadratic programming algorithm. And then the parameters of the fuzzy system were optimized via a genetic algorithm. The simulation results show that the proposed method could be useful for a range of control system design.
Keywords :
distributed power generation; fuzzy control; genetic algorithms; power control; power distribution control; control system design; fuzzy power control system; genetic algorithm; multiple distributed generation units; optimization; power distribution; quadratic programming algorithm; Engines; Fuzzy logic; Fuzzy systems; Genetic algorithms; Optimization; Power control; Power distribution; Distributed generation generation; fuzzy logic; genetic algorithm; optimization; power control system;
Conference_Titel :
Computer Distributed Control and Intelligent Environmental Monitoring (CDCIEM), 2011 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-61284-278-3
Electronic_ISBN :
978-0-7695-4350-5
DOI :
10.1109/CDCIEM.2011.418