@ARTICLE{ iet:/content/journals/10.1049/iet-gtd.2018.5483, author = {Sundaravaradan Navalpakkam Ananthan}, author = {Surya Santoso}, keywords = {complex network configuration;power system simulation software;short-circuit faults;improved system integrity;mutual coupling;model-based fault location approach;fault resistance;universal model-based fault location;power systems;impedance-based fault location algorithms;power system model;impedance-based fault location methods;transmission lines;}, ISSN = {1751-8687}, language = {English}, abstract = {Transmission lines are a vital part of power systems and are prone to a variety of short-circuit faults. It is imperative to identify the fault location to restore the system as quickly as possible for maintaining the system integrity. Impedance-based fault location algorithms are most commonly used but they are prone to several sources of error such as fault resistance and mutual coupling between the lines and may not provide accurate results in the presence of complex network configurations such as three-terminal lines. Though information about mutual coupling or knowledge of complex network configuration is known, they cannot be directly used in impedance-based fault location algorithms. This study proposes a novel automated generic framework for model-based fault location approach which uses the power system model to overcome the shortcomings of impedance-based fault location methods. A combination of power system simulation software and a control and processing software provide the flexibility to be able to incorporate all the available information about the system to accurately estimate the fault location. Furthermore, this study provides key insights to implement the proposed framework in an effective and efficient manner by using reduced equivalent circuits.}, title = {Universal model-based fault location for improved system integrity}, journal = {IET Generation, Transmission & Distribution}, issue = {8}, volume = {13}, year = {2019}, month = {April}, pages = {1212-1219(7)}, publisher ={Institution of Engineering and Technology}, copyright = {© The Institution of Engineering and Technology}, url = {https://digital-library.theiet.org/;jsessionid=1tpwwmw79tnc1.x-iet-live-01content/journals/10.1049/iet-gtd.2018.5483} }