Performance evaluation of hybrid distributed generation system in isolated operation

Author

Nayak, Sanjeev K. ; Raman, Sowmya

Author_Institution

Dept. of Electr. Eng., Nat. Inst. of Technol., Karnataka, Surathkal, India

fYear

2014

fDate

15-17 Dec. 2014

Firstpage

1

Lastpage

6

Abstract

Fuel cell and microturbine based distributed generation (DG) system are one of the promising source due to their operating efficiency, reliability and power quality. Thus, the selection of their operation is essential to obtain the maximum efficiency of two individual sources. In this paper, the genetic algorithm (GA) and particle swarm optimization (PSO) algorithm has been used for the efficiency evaluation for the hybrid DG systems. The comparative results are presented for GA and PSO in terms of number of iteration, processing time and solution quality. The model is presented in Matlab/Simulink environment and the simulation result show the performance of fuel cell and microturbine whit GA and PSO algorithm.

Keywords

distributed power generation; fuel cell power plants; genetic algorithms; hybrid power systems; particle swarm optimisation; power generation reliability; power supply quality; turbines; Matlab/Simulink environment; PSO algorithm; fuel cell; genetic algorithm; hybrid distributed generation system; microturbine; particle swarm optimization algorithm; power quality; power reliability; Fuel cells; Fuels; Genetic algorithms; Hybrid power systems; Optimization; Turbines; Fuel cell; Microtubine; Permanent Magnet Synchronous Machine and Powre Electonisc Interfacing;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial and Information Systems (ICIIS), 2014 9th International Conference on

Conference_Location

Gwalior

Print_ISBN

978-1-4799-6499-4

Type

conf

DOI

10.1109/ICIINFS.2014.7036507

Filename

7036507