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Swarm-Intelligence-Based Optimal Placement and Sizing of Distributed Generation in Distribution Network: Swarm-Intelligence-Based Distributed Generation
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Author(s): Mahesh Kumar (Universiti Teknologi Petronas, Malaysia & Mehran University of Engineering and Technology, Pakistan), Perumal Nallagownden (Universiti Teknologi Petronas, Malaysia), Irraivan Elamvazuthi (Universiti Teknologi PETRONAS, Malaysia), Pandian Vasant (University of Technology Petronas, Malaysia)and Luqman Hakim Rahman (Universiti Teknologi Petronas, Malaysia)
Copyright: 2018
Pages: 20
Source title:
Applied Computational Intelligence and Soft Computing in Engineering
Source Author(s)/Editor(s): Saifullah Khalid (CCSI Airport, India)
DOI: 10.4018/978-1-5225-3129-6.ch002
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Abstract
In the distribution system, distributed generation (DG) are getting more important because of the electricity demands, fossil fuel depletion and environment concerns. The placement and sizing of DGs have greatly impact on the voltage stability and losses in the distribution network. In this chapter, a particle swarm optimization (PSO) algorithm has been proposed for optimal placement and sizing of DG to improve voltage stability index in the radial distribution system. The two i.e. active power and combination of active and reactive power types of DGs are proposed to realize the effect of DG integration. A specific analysis has been applied on IEEE 33 bus system radial distribution networks using MATLAB 2015a software.
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