Application of a Particle Swarm Optimization for Improving Voltage Profile with Distributed Generation: A Case Study of 33/0.415KV Abuja Airport Injection Substation

Stephen Oodo and Felix Sanjo Owolabi
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Stephen Oodo: Department of Electrical and Electronics Engineering, University of Abuja, Nigeria
Felix Sanjo Owolabi: Sheda Science and Technology Complex (SHESTCO)

European Journal of Engineering and Technology Research, 2019, vol. 4, issue 3, 100-106

Abstract: The important of electric power distribution is to have centralized plants distributing electricity through Distributed generation (DG) which reduces the cost of maintenance on transmission and distribution station and also improve voltage profile. This research paper present the application of generation based on Biogas power renewable energy source to the Distribution network and how it stabilizes the network by normalizing the fluctuating voltage profile at the distribution end of power system. A Particle Swarm Optimization (PSO) model was performed and evaluation of the impact of the DG by stimulating the developed model in the system. A mathematical formulation and optimization algorithm was performed using the MATLAB/Simulink program. The results obtained were correction of the faulty buses voltages and stable power supply which is 29.4% better than the conventional one. The result shows the implementation of the optimisation technique has improved the energy efficiency of the distribution network.

Keywords: Distributed Generation; MATLAB-SIMULINK; Particle Swarm Optimization; Voltage Profile (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:epw:ejeng0:v:4:y:2019:i:3:id:61116

DOI: 10.24018/ejeng.2019.4.3.1116

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