Title :
Genetic algorithm based optimal allocation of a distributed generator in a radial distribution feeder
Author :
Prasanna, H. A. Maruthi ; Kumar, M. V. Likith ; Ananthapadmanabha, T.
Author_Institution :
Dept. of EEE, Nat. Inst. of Eng., Mysore, India
Abstract :
This paper proposes a multi objective optimization method to determine optimal allocation of a distributed generation (DG) unit in a radial distribution feeder. The DG allocation problem has been formulated as multi objective function which includes two objectives: viz Power Loss Reduction and Tail End Node Voltage Improvement with associated weights. The proposed methodology uses Genetic 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 yields considerable tail end node voltage improvement along with significant reduction in line losses.
Keywords :
distributed power generation; distribution networks; genetic algorithms; DG allocation problem; IEEE 33 bus radial distribution systems; IEEE 69 bus radial distribution systems; MATLAB 8.0; associated weights; distributed generation unit; genetic algorithm; multiobjective optimization; optimal allocation; power loss reduction; radial distribution feeder; tail end node voltage improvement; Biological cells; Genetic algorithms; Indexes; Linear programming; Optimization; Resource management; Sociology; Distributed Generation; Distribution System; Genetic Algorithm; PLR Index; TENVD Index;
Conference_Titel :
Circuit, Power and Computing Technologies (ICCPCT), 2014 International Conference on
Print_ISBN :
978-1-4799-2395-3
DOI :
10.1109/ICCPCT.2014.7054964