Smart Electric Grids Three-Phase Automatic Load Balancing Applications using Genetic Algorithms

Ahmad A. Goudah, Dieter Hermann Schramm, Mohmed El-Habrouk, Yasser Gaber Dessouky

Abstract


Smart power grid is going to be the future grid. Conventional, renewable and alternate sources incorporating for power generation[1]. Smart Electrical Grids require nowadays a large interest in the electrical load distribution balancing problem.  This problem is a well known for not having an optimal solution for large-scale systems, where the number of single phase consumers connected to three phase systems increases especially in very large-scale electrical distribution systems.  This paper presents a new control technique for an automatic circuit phase change as well as an optimisation approach using Genetic Algorithms (GA) used to enhance the solution of electrical load distribution balancing problem.  In the first part of the paper, the system under study is introduced, as well as the various solutions adopted.  In the second part of the paper, a GA formulation and implementation of the solution is presented.  The efficiency of the GA solution is also discussed.

Keywords


Renewable Energy; Sustainable Development; Smart Electric Grids; Automatic Load Balancing; Genetic Algorithms;

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References


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DOI: http://dx.doi.org/10.21622/resd.2020.06.1.018

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Copyright (c) 2020 Dieter Hermann Schramm

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Renewable Energy and Sustainable Development

E-ISSN: 2356-8569

P-ISSN: 2356-8518

 

Published by:

Academy Publishing Center (APC)

Arab Academy for Science, Technology and Maritime Transport (AASTMT)

Alexandria, Egypt

resd@aast.edu