Nidya Ayu Gusti Anggreani, Hamdani Hamdani, Reza Juliangga

Peningkatan Akurasi Perhitungan IEEE C37.114 Double Ended Dengan Metode Selective Mode

Introduction

Peningkatan akurasi perhitungan ieee c37.114 double ended dengan metode selective mode. Metode Selective Mode Double Ended (SMDE) tingkatkan akurasi perhitungan IEEE C37.114 untuk identifikasi lokasi gangguan listrik hingga 99.9%. Pulihkan cepat, minimalkan kerugian pemadaman.

Abstract

Rapid and precise handling in determining fault locations is essential to accelerate post-fault recovery and minimize economic losses caused by power outages. Several methods employed to identify fault locations include Single Ended and Double Ended analysis. This paper discusses the Selective Mode Double Ended Fault Locator Method, an enhancement of the IEEE C37.114 Double Ended method. This approach involves selecting maximum fault data values for Near Side (NS) and Far Side (FS) calculations, taking into account the differential or angle difference of the sequence between the two sides. The Double Ended calculation results from the total sample values are used to determine the mode, which serves as the final output of this Fault Locator method. This method is designed to identify faults and their locations with high accuracy and speed. Based on the research findings, the Selective Mode Double Ended (SMDE) method provides more accurate fault locator analysis compared to the Single Ended and Double Ended methods. The accuracy achieved with the Single Ended method is 90.9%, with the Double Ended method reaching 94.9%, and with the Selective Mode Double Ended (SMDE) method achieving 99.9%.

Review

This paper addresses the critical need for rapid and precise fault location in power systems, a cornerstone for minimizing economic losses and accelerating post-fault recovery. The authors propose an enhancement to existing fault location techniques, specifically the IEEE C37.114 Double Ended method, by introducing a "Selective Mode" approach. The core premise is to improve upon the accuracy limitations of conventional Single Ended and Double Ended analyses, which are widely employed in the industry. The work positions itself as a significant contribution towards more reliable power system operation by focusing on a fundamental aspect of grid management. The proposed Selective Mode Double Ended (SMDE) method introduces a novel mechanism for processing fault data. It involves intelligently selecting maximum fault data values for both Near Side (NS) and Far Side (FS) calculations, taking into account the differential or angle difference of the sequence between the two ends. A distinctive feature of this method is the subsequent use of total sample values from the Double Ended calculation to determine a 'mode', which then serves as the final, refined output for the fault location. The abstract clearly articulates the ambition for this method to deliver superior accuracy and speed, suggesting a thoughtful approach to data processing and decision-making within the fault locator algorithm. Based on the research findings presented, the SMDE method demonstrates a compelling improvement in fault locator analysis. The reported accuracy figures are particularly striking: a significant leap from 90.9% for the Single Ended method and 94.9% for the conventional Double Ended method, to an impressive 99.9% with the Selective Mode Double Ended (SMDE) method. This level of accuracy, if robustly validated across various fault types and system configurations, positions the SMDE method as a highly promising advancement in the field of power system protection and control. The abstract effectively highlights the quantifiable benefits and potential impact of this innovative approach.

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