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

Maruthi Prasanna. H. A.^1, , Likith Kumar. M. V.² and T. Ananthapadmanabha³

¹Assistant Engineer (Ele), Karnataka Power Transmission Corporation Limited (KPTCL), Bangalore, India

²Research Scholar, Department of Electrical Engineering, The National Institute of Engineering, Mysore, India

³Professor, Department of Electrical Engineering, The National Institute of Engineering, Mysore, India

Cite this paper:
Maruthi Prasanna. H. A., Likith Kumar. M. V. and T. Ananthapadmanabha. 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. International Transaction of Electrical and Computer Engineers System. 2014; 2(2):67-72. doi: 10.12691/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.

Keywords:
distribution system distributed generation TENVD Index PLR Index genetic algorithm

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