Optimal study of distributed generation impact on electrical distribution networks using GA and generalized reduced gradient

Author

Fahim, Samuel Raafat ; Helmy, Walid

Author_Institution

Electrical Power and Machines Department, Ain Shams University, Cairo, Egypt

fYear

2012

fDate

10-11 Oct. 2012

Firstpage

1

Lastpage

6

Abstract

This paper presents the effect of Distributed Generators (DG) existence in the electrical power distribution networks taking IEEE 14 and IEEE 30 bus test feeders as proposed systems. The analysis is done to examine the effect on the overall system losses and voltage profile. The aim behind this study is to obtain the optimum location and penetration level of the added DG unit in order to decrease the losses and enhance the voltage profile. The optimization is done using two different optimization techniques, generalized reduced gradient (GRG) and genetic algorithm (GA). The power system dynamic program MATLAB is used for this study. The simulation results are analyzed to show the effectiveness of GA over the GRG algorithm.

Keywords

distributed power generation; distribution networks; dynamic programming; genetic algorithms; gradient methods; IEEE 14 bus test feeders; IEEE 30 bus test feeders; MATLAB; distributed generation; electrical distribution networks; generalized reduced gradient; genetic algorithm; penetration level; power system dynamic program; voltage profile; Fuels; Generators; Genetic algorithms; Linear programming; Optimization; Sociology; Statistics; IEEE 14 bus system; IEEE 30 bus system and optimization; Index distributed generator (DG); generalized reduced gradient (GRG); genetic algorithms (GA);

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering and Technology (ICET), 2012 International Conference on

Conference_Location

Cairo

Print_ISBN

978-1-4673-4808-9

Type

conf

DOI

10.1109/ICEngTechnol.2012.6396131

Filename

6396131