Application of a Genetic Algorithm for Improving Voltage Profile with Distributed Generation

Stephen Oodo and Felix S. Owolabi
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Stephen Oodo: Department of Electrical and Electronics Engineering, University of Abuja, Nigeria
Felix S. Owolabi: Department of Electrical and Electronics Engineering, University of Abuja, Nigeria

European Journal of Engineering and Technology Research, 2019, vol. 4, issue 1, 64-68

Abstract: The purpose of a power grid is to transfer electrical energy from the production to the consumption, while maintaining an acceptable reliability and voltage quality for all customers. This research paper present the integration of generation based on Biogas power renewable energy source to the Distribution network and how it stabilizes the network by normalizing the fluctuating voltage at the distribution end of power system. A Genetic Algorithm 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 25% better than the conventional one. It was concluded that the implementation of the optimisation technique has improved the energy efficiency of the distribution network.

Keywords: Distributed Generation; MATLAB-SIMULINK; Voltage Profile; Genetic Algorithm (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:1:id:61063

DOI: 10.24018/ejeng.2019.4.1.1063

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