Development of FLISR Algorithm with Additional Consideration of Reliability Index, Losses, and Load Forecasting, Case Study in Central Java Distribution, Indonesia

EasyChair Preprint 15396

Abstract

This paper proposes an enhancement to the existing Fault Location, Isolation, and Service Restoration (FLISR) system implemented in the Advanced Distribution Management System (ADMS) of PLN Central Java & Yogyakarta. The current system focuses on equipment capacity and switching operations. However, this study introduces additional variables such as the reliability index, disturbance history, technical losses, and load forecasting to improve system efficiency and reliability. A case study conducted on the KDS15 feeder demonstrates how these new variables optimize network reconfiguration, significantly reducing potential losses and disturbances. The FLISR algorithm's decision-making process was enhanced by using the Simple Additive Weighting (SAW) method to prioritize network sections for restoration, yielding more reliable results compared to the original method. Simulation results show a reduction in technical losses, improved prioritization of network recovery, and reduced recurrence of disturbances. Most required ata is accessible through Supervisory Control and Data Acquisition (SCADA), except for health index data, which remains unintegrated. The novelty of this research lies in integrating additional variables into the FLISR recovery process, demonstrating its potential to improve distribution network reliability and efficiency.

Keyphrases: ADMS, FLISR, Losses, SCADA, reliability index

@booklet{EasyChair:15396,
  author    = {Afid Ridho Aji and Kevin Marojahan Banjarnahor and Mochamad Soffin Hadi and Nanang Hariyanto},
  title     = {Development of FLISR Algorithm with Additional Consideration of Reliability Index, Losses, and Load Forecasting, Case Study in Central Java Distribution, Indonesia},
  howpublished = {EasyChair Preprint 15396},
  year      = {EasyChair, 2024}}