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

This study aims to enhance the Fault Location, Isolation, and Service Restoration (FLISR) system to improve the reliability and efficiency of network restoration in the PLN Central Java & Yogyakarta distribution area. FLISR, a key implementation of the Advanced Distribution Management System (ADMS), currently focuses on load calculation and switching operations. To optimize its decision-making process, this research introduces additional variables, including fault history, network inspection results, reliability index, technical losses, and load forecasting. These factors are integrated using the Simple Additive Weighting (SAW) method to prioritize network sections for restoration based on available data. A case study conducted on the KDS15 feeder, a critical feeder supplying important costumers such as industrial complex, hospitals, and office, demonstrates that the enhanced algorithm significantly improves network reconfiguration, leading to a reduction in technical losses, the recurrence of disturbances, and the risk of overload. Most required data can be accessed through the Supervisory Control and Data Acquisition (SCADA) system, except for health index data, which remains unintegrated. The novelty of this research lies in incorporating previously unconsidered variables into the FLISR recovery process. By integrating fault history, inspection results, load prediction, and technical losses, this study demonstrates the potential of the enhanced FLISR algorithm in improving distribution network reliability and operational efficiency. [ABSTRACT FROM AUTHOR]

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