Title :
Design of fuzzy power system for distributed generation system
Author_Institution :
Sch. of Electr. & Electron. Eng. Sch., Nanjing Inst. of Ind. Technol., Nanjing, China
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;
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2011 2nd International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-0813-8
DOI :
10.1109/ICICIP.2011.6008376
