Direct search approach for multiple distributed generator allocation in radial distribution systems

Author

Babu, P. Vijay ; Dahiya, Ratna

Author_Institution

Dept. of Electr. Eng., Nat. Inst. of Technol. Kurukshetra, Kurukshetra, India

fYear

2014

Firstpage

1

Lastpage

6

Abstract

Distributed Generation (DG) plays an important role in distribution systems due to the increasing demand for electrical energy in day to day life. Optimal location and sizing of DG sources are two important factors to be determined for loss reduction and voltage profile improvement. In this paper, Modified Novel method (MNM) and proposed Direct Search Approach (DSA) has been presented for the optimal allocation of Distributed Generator (DGs) in a radial distribution system to improve voltage profile and to minimize the power loss. Two types of DGs are considered for analysis i.e. Type 1 (DG is operating at unity) and Type 3(DG is operating at lagging power factor). Two methods are implemented on standard IEEE-33 bus and IEEE-69 bus test systems and the results are compared with an existing IA method in terms of percentage loss reduction.

Keywords

IEEE standards; distributed power generation; power factor; power system management; IEEE-33 bus test system; IEEE-69 bus test system; direct search approach; distributed generation; distributed generator allocation; lagging power factor; modified novel method; optimal allocation; percentage loss reduction; power loss; radial distribution systems; voltage profile; Generators; Genetic algorithms; Load flow; Reactive power; Resource management; Schedules; Simulation; DG allocation; Modified Novel method; loss reduction; proposed Direct Search approach; voltage improvement;

fLanguage

English

Publisher

ieee

Conference_Titel

Power India International Conference (PIICON), 2014 6th IEEE

Print_ISBN

978-1-4799-6041-5

Type

conf

DOI

10.1109/34084POWERI.2014.7117686

Filename

7117686