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Binary Gravitational Search based Algorithm for Optimum Siting and Sizing of DG and Shunt Capacitors in Radial Distribution Systems
Department of Electrical Engineering, Aliah University, Salt Lake, Kolkata, India
Department of Electrical Engineering, National Institute of Technology, Durgapur, India
Department of Electrical Engineering, National Institute of Technology, Durgapur, India
- 1 Department of Electrical Engineering, Aliah University, Salt Lake, Kolkata, India
- 2 Department of Electrical Engineering, National Institute of Technology, Durgapur, India
- 3 Department of Electrical Engineering, National Institute of Technology, Durgapur, India
Energy and Power Engineering·Volume 05 (2013)·Pages 1005–1010·Published 30 June 2013·DOI10.4236/epe.2013.54B192
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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.
KeywordsNormal Load FlowRadial Distribution SystemDistributed GenerationShunt CapacitorsBinary Particle Swarm OptimizationBinary Gravitational Search AlgorithmTotal line LossTotal Voltage Deviation
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