Abstract
Fast and accurate detection of fault location in distribution networks, is one of the important issues in operation of the system. In this paper, an approach based on Binary Imperialistic Competitive algorithm and Nelder-Mead simplex search has been proposed for placement of fault indicators in distribution networks. By using this method, the problem of locating fault indicators can be solved faster and more accurately by minimizing of cost function. In this paper, in addition to describing the BICA-NM hybrid algorithm, the fault indicator placement has been implemented using this method on a test system, and the simulation results have been compared with Genetic algorithm GA, Binary Shuffled Frog Leap Algorithm BSFLA and Improved BSFLA IBSFLA and the accuracy and fastness of the proposed method has been demonstrated.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
