Pengembangan Model Indeks Kesehatan Transformator Dengan Pembobotan Komponen Dan Parameter Penilaian Menggunakan Analisis Proses Hirarki

Abstract

Penilaian kondisi transformator di pembangkit sering dilakukan secara terpisah berdasarkan hasil inspeksi, pengujian elektrik, kondisi minyak, usia, dan riwayat pemeliharaan, sehingga prioritas tindakan belum selalu didasarkan pada satu ukuran kondisi yang terintegrasi. Penelitian ini mengembangkan model indeks kesehatan transformator berbasis Analytic Hierarchy Process (AHP) yang menggabungkan bobot sebelas komponen utama, enam parameter teknis, dan kualitas data. Model diterapkan pada enam transformator minyak, yaitu Generator Transformer (GT) 1 dan 2 serta Unit Auxiliary Transformer (UAT) 1A, 1B, 2A, dan 2B di PLTU Paiton Unit 1 dan 2 menggunakan data operasi dan pemeliharaan tahun 2023–2024. Bobot ditentukan melalui matriks perbandingan berpasangan berdasarkan konsensus empat ahli pemeliharaan, kemudian diuji menggunakan consistency ratio. Belitan high-voltage dan low-voltage memperoleh bobot komponen tertinggi, masing-masing 0,206, sedangkan pengujian spesifik menjadi parameter paling dominan dengan bobot 0,463. Nilai consistency ratio komponen dan parameter masing-masing 0,0518 dan 0,0455, sehingga penilaian memenuhi batas konsistensi AHP. Implementasi menghasilkan indeks kesehatan 7,82 (GT 1), 7,24 (UAT 1A), 7,22 (UAT 1B), 7,75 (GT 2), 5,81 (UAT 2A), dan 6,95 (UAT 2B). Empat unit diklasifikasikan baik dan dua unit cukup; klasifikasi tersebut searah dengan kondisi aktual, termasuk DGA Status 3 pada UAT 2A dan korosi radiator pada UAT 2B. Model ini menyediakan dasar kuantitatif untuk diagnosis kondisi dan prioritas pemeliharaan berbasis kondisi pada transformator pembangkit.

Transformer condition assessment in power plants is commonly performed separately using inspection results, electrical tests, oil condition, age, and maintenance history, which may limit the consistency of maintenance prioritization. This study develops a transformer health index model based on the Analytic Hierarchy Process (AHP) by integrating the weights of eleven major components, six technical assessment parameters, and data quality. The model was applied to six oil-immersed transformers—Generator Transformers (GT) 1 and 2 and Unit Auxiliary Transformers (UAT) 1A, 1B, 2A, and 2B—at Paiton Coal-Fired Power Plant Units 1 and 2 using operation and maintenance data from 2023–2024. Weights were derived from pairwise comparison matrices based on the consensus of four maintenance experts and were validated using the consistency ratio. The high-voltage and low-voltage windings received the highest component weights, each at 0.206, while specific testing was the most influential parameter with a weight of 0.463. The consistency ratios were 0.0518 for components and 0.0455 for parameters, satisfying the acceptable AHP consistency threshold. The resulting health indices were 7.82 for GT 1, 7.24 for UAT 1A, 7.22 for UAT 1B, 7.75 for GT 2, 5.81 for UAT 2A, and 6.95 for UAT 2B. Four units were classified as good and two as fair, consistent with field conditions, including DGA Status 3 on UAT 2A and radiator corrosion on UAT 2B. The proposed model provides a quantitative basis for condition diagnosis and condition-based maintenance prioritization.