Optimasi Pemilihan Lokasi Prioritas Pemasangan LBS Menggunakan Metode ANP-TOPSIS (Studi Kasus: PT. PLN UP2D Sumatera Utara)

Abstract

PT. PLN UP2D North Sumatra is responsible for maintaining a stable and efficient supply of electricity in North Sumatra. PT. PLN UP2D North Sumatra uses work success indicators such as Energy Not Served (ENS), System Average Interruption Duration Index (SAIDI), and System Average Interruption Frequency Index (SAIFI) to increase system reliability. Based on the Company's Work Plan and Budget (RKAP) for 2023, PT.PLN UP2D North Sumatra will install 150 new Load Break Switch (LBS) units in 5 UP3. However, in previous years the decision making regarding the spread of LBS and determining the priority of feeders had not used a clear and tested method. This study uses the Analytic Network Process (ANP) method and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) as optimization in decision making to determine the priority of feeders. This study also involved 397 alternative feeders with a plan to install 150 LBS units. There are seven criteria used in the installation of the LBS, including ENS, SAIDI, SAIFI, feeder load, network length, frequency of interruptions, and number of customers. The results of the study concluded that the 124 feeders with the highest performance scores would be prioritized to install 150 new LBS units. Thus, the application of the ANP-TOPSIS method was successful in optimizing decision making in determining priority feeders to install new LBS