<article_id>jcir.5.3.13813</article_id>
<article_title>Fault Location Estimation Systems: A Critical Review</article_title>
<author>A. Ahmed Sanad</author>
<author>Mahmoud A. Attia</author>
<author>NABIL M. HAMED</author>
<author>Almoataz Y. Abdelaziz</author>
<journal_title>Journal on Circuits And Systems</journal_title>
<issn>2322–035X</issn>
<volume>5</volume>
<issue>3</issue>
<first_page>17</first_page>
<last_page>30</last_page>
<doi>10.26634/jcir.5.3.13813</doi>
<keywords>Fault Location, Optimization, Simulation, Simulink, MATLAB, Genetic Algorithm, Harmony Search, Teaching-Learning-based Optimization (TLBO) Technique</keywords>
<abstract>Energy reliability is a critical aspect nowadays in energy management. Especially transmission system is considered a very essential part in the grid. Using transmission system all customers can get the energy needed for all applications on all voltage levels. So, if a fault occurs in the transmission system, this will lead to outages at customer side affecting all applications, such as hospitals, factories, schools, universities, and houses. To keep the transmission system reliable, all types of fault should be detected and located in a very short period to clear the fault and restore the energy again. This introduces the topic of fault location estimation in smart grids, which is not a new topic, but it is optimized and enhanced nowadays using the available technology. This paper presents several techniques used to detect fault location using different methodologies and algorithms, comparing them all, and finally stating the conclusion.</abstract>
<publication_date>June - August 2017</publication_date>
<copyright>Copyright &copy; 2017 i-manager publications. All rights reserved.</copyright>
<publisher>i-manager Publications</publisher>
<article_url>http://www.imanagerpublications.com/Article.aspx?ArticleId=13813</article_url>