A comprehensive backup protection for transmission lines based on an intelligent wide‐area monitoring system. (17th March 2021)

• Record Type: Journal Article
• Authors: Petite, Fernanda Soares Vitor; dos Santos, Ricardo Caneloi; Junior, Giovanni Manassero; Yang, Qingqing; Li, Jianwei
• Is Part Of: International transactions on electrical energy systems. Volume 31:Number 5(2021)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2021-03-17
• Subjects: artificial neural networks -- fault location -- pattern recognition -- monitoring system; Electric power -- Periodicals; Electric power systems -- Periodicals; Electrical engineering -- Periodicals; 621.3
• DOI: 10.1002/2050-7038.12870
• Languages: English
• ISSNs: 2050-7038

Abstract

Summary: This work presents the development, implementation and evaluation of an accurate intelligent wide‐area monitoring system for supporting protection functions in transmission lines. The proposed scheme is based on artificial neural networks and uses only postfault voltage signals for fault detection, classification, and location in transmission lines with different characteristics. The development and evaluation of the proposed intelligent system were based on three different electric power grids, under several different fault conditions (fault type, location, and resistance). The electrical systems were modeled in Matlab and PSCAD, while the proposed algorithm was developed in Matlab. The results are promising, showing that the proposed scheme presents a high level of accuracy and robustness. Moreover, the comprehensiveness of the presented solution is proven against three different power grids. Abstract : Only voltage signals are used for detecting, classifying, and locating faults. This solution is flexible and modular, covering partially or completely the power grid. The presented method is suitable to be used in electrical systems that make use of PMUs.