Priority Selection of Fiohl (Fault Indicator Over Head Line) Installation Location Using the Entropy Method - Promethee
Open Access
- 11 June 2025
- journal article
- Published by Publikasi Indonesia in Journal Research of Social Science, Economics, and Management
- Vol. 4 (11) , 1858-1874
Abstract
The main challenge in electricity distribution in Riau and Riau Islands is the high incidence of power line faults. One effort to reduce power line faults is through the installation of FIOHL (Fault Indicator Overhead Line). FIOHL is a device used to detect faults on power lines, which can help quickly identify the location of the fault. In this study, PLN UP2D Riau plans to install 35 FIOHL units on 198 power lines. The objective of this study is to determine the priority order of power lines as the location for installing FIOHLs accurately. By using the Entropy method as a criterion weighting method and PROMETHEE (Preference Ranking Organisation Method for Enrichment Evaluations), the priority order of alternative solutions for determining the power lines can be obtained. The installation of FIOHL must meet eight criteria: number of outages, outage duration, Energy Not Served (ENS), number of outages without cause, feeder load, network length, number of customers, and keypoint ratio for each feeder. The number of customers has the highest weight at 0.175, followed by network length at 0.152 and ENS at 0.151. The priority locations for FIOHL installation using the PROMETHEE method show that the Maroko feeder ranks first with Phi = 0.6329, followed by the Laos feeder with Phi = 0.6247. The allocation of FIOHL installations across each Implementation Unit (UP3) includes 14 units for UP3 Bangkinang, 14 units for UP3 Dumai, 4 units for Pekanbaru, and 3 units for UP3 Rengat..Keywords
This publication has 13 references indexed in Scilit:
- Using PROMETHEE Method for Multi-Criteria Decision Making: Applications and ProceduresIris Journal of Economics & Business Management, 2023
- A novel collaborative decision-making method based on generalized abductive learning for resolving design conflictsAutonomous Intelligent Systems, 2023
- Optimal Placement of Faulted Circuit Indicators in Radial Distribution Systems2022
- A Review of Fault Detection Methods in Smart Pneumatic Systems and Identification of Key Failure Indicators2022
- Optimal Placement of Fault Indicators to Identify Fault Zones in Distribution SystemsIEEE Transactions on Power Delivery, 2021
- Research and Design of Fault Indicator Using Comprehensive Detection and Identification Method2021
- Optimal Placement of Fault Indicator and Sectionalizing Switch in Distribution NetworksIEEE Access, 2020
- Fault detection and identification method using observer-based residualsReliability Engineering & System Safety, 2019
- A new mixed-integer linear formulation for optimal placement of fault indicators in distribution systemsInternational Transactions on Electrical Energy Systems, 2018
- Optimal placement of fault indicators in distribution system using PSO algorithm2017