Multi objective optimal allocation of a distributed generation unit in distribution network using PSO

Author

Prasanna, H. A. Maruthi ; Kumar, M. V. Likith ; Veeresha, A.G. ; Ananthapadmanabha, T. ; Kulkarni, A.D.

Author_Institution

Dept. of Electr. & Electron. Eng., Nat. Inst. of Eng., Mysore, India

fYear

2014

fDate

23-25 Jan. 2014

Firstpage

61

Lastpage

66

Abstract

This paper proposes a multi objective optimization method to determine optimal allocation of a distributed generation unit in radial distribution system. The multi objective function to be optimized includes two objectives: viz Power Loss Reduction and Tail End Node Voltage Improvement. The proposed methodology uses Particle Swarm Optimization Algorithm to optimize the multi objective function. This method is tested on standard IEEE 33 bus and 69 bus radial distribution systems using MATLAB 8.0. The results show that the proposed method is accurate and fast. Since weightage is given to tail end node voltage improvement there is considerable improvement in tail end node voltage.

Keywords

IEEE standards; distributed power generation; particle swarm optimisation; IEEE 33 bus standard; IEEE 69 bus standard; PSO; distributed generation unit; distribution network; multiobjective optimal allocation; multiobjective optimization method; particle swarm optimization algorithm; power loss reduction; radial distribution system; tail end node voltage improvement; Distributed power generation; Electricity; Indexes; Linear programming; Particle swarm optimization; Power systems; Resource management; Distributed Generation; Distribution System; PLR Index; PSO Algorithm; TENVD Index;

fLanguage

English

Publisher

ieee

Conference_Titel

Advances in Energy Conversion Technologies (ICAECT), 2014 International Conference on

Conference_Location

Manipal

Print_ISBN

978-1-4799-2205-5

Type

conf

DOI

10.1109/ICAECT.2014.6757062

Filename

6757062