Binary Gravitational Search based Algorithm for Optimum Siting and Sizing of DG and Shunt Capacitors in Radial Distribution Systems

N. A. Khan, S. Ghosh, S. P. Ghoshal

Department of Electrical Engineering, Aliah University, Salt Lake, Kolkata, India.
Department of Electrical Engineering, National Institute of Technology, Durgapur, India.

DOI: 10.4236/epe.2013.54B192                

Abstract

This paper presents a binary gravitational search algorithm (BGSA) is applied to solve the problem of optimal allotment of DG sets and Shunt capacitors in radial distribution systems. The problem is formulated as a nonlinear constrained single-objective optimization problem where the total line loss (TLL) and the total voltage deviations (TVD) are to be minimized separately by incorporating optimal placement of DG units and shunt capacitors with constraints which include limits on voltage, sizes of installed capacitors and DG. This BGSA is applied on the balanced IEEE 10 Bus distribution network and the results are compared with conventional binary particle swarm optimization.

Keywords

Normal Load Flow; Radial Distribution System; Distributed Generation; Shunt Capacitors; Binary Particle Swarm Optimization; Binary Gravitational Search Algorithm; Total line Loss; Total Voltage Deviation

Conflicts of Interest

The authors declare no conflicts of interest.

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