Open AccessApplication of a Genetic Algorithm for Improving Voltage Profile with Distributed Generation
Author(s) -
Stephen Oodo,
Felix Sanjo Owolabi
Publication year - 2019
Publication title -
european journal of engineering research and science
Language(s) - English
Resource type - Journals
ISSN - 2506-8016
DOI - 10.24018/ejers.2019.4.1.1063
Subject(s) - genetic algorithm , matlab , renewable energy , voltage , reliability (semiconductor) , distributed generation , power (physics) , computer science , grid , electric potential energy , electronic engineering , engineering , electrical engineering , mathematics , physics , geometry , quantum mechanics , machine learning , operating system
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.