@article{iteces2014224,
author={{A., Maruthi Prasanna. H. and V., Likith Kumar. M. and Ananthapadmanabha, T.},
title={A Novel Approach for Optimal Allocation of a Distributed Generator in a Radial Distribution Feeder for Loss Minimization and Tail End Node Voltage Improvement during Peak Load},
journal={International Transaction of Electrical and Computer Engineers System},
volume={2},
number={2},
pages={67--72},
year={2014},
url={http://pubs.sciepub.com/iteces/2/2/4},
abstract={This paper proposes a novel approach for optimal allocation of a distributed generator in a radial distribution feeder for loss minimization and tail end node voltage improvement during peak load. A multi objective optimization method is proposed 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 radial distribution system using MATLAB 8.0. The results show that the proposed method yields significant reduction in line losses and considerable tail end node voltage improvement during peak load.},
doi={10.12691/iteces-2-2-4}
publisher={Science and Education Publishing}
}