Nursahar Buang, Aryani Rombekila

PEMODELAN MATEMATIS DALAM PENENTUAN USIA PAKAI DAN DERATING KHA DARI KABEL LISTRIK DENGAN PENDEKATAN ATURAN ARRHENIUS

Introduction

Pemodelan matematis dalam penentuan usia pakai dan derating kha dari kabel listrik dengan pendekatan aturan arrhenius. Pemodelan matematis usia pakai dan derating kHA kabel listrik menggunakan Arrhenius. Tingkatkan keandalan sistem distribusi tenaga dengan prediksi dan perencanaan kabel yang efisien via MATLAB.

Abstract

Penentuan usia pakai dan kapasitas hantar arus (kHA) dari kabel listrik merupakan faktor krusial dalam menjaga keandalan sistem distribusi tenaga listrik. Faktor-faktor lingkungan, seperti suhu operasi dan metode pemasangan, memiliki dampak signifikan terhadap usia pakai dan derating kHA. Dalam penelitian ini, dilakukan pemodelan matematis menggunakan persamaan Arrhenius untuk memprediksi usia pakai kabel dan menghitung derating kHA berdasarkan suhu lingkungan. Simulasi pemodelan ini diimplementasikan menggunakan MATLAB untuk mempermudah proses analisis dan visualisasi data. Pendekatan ini memberikan panduan penting dalam perencanaan dan pemeliharaan kabel listrik agar lebih efisien dan aman.

Review

This paper addresses a critical issue in power system reliability: the determination of electrical cable lifetime and current carrying capacity (kHA) derating. The abstract clearly highlights the significance of environmental factors, particularly operating temperature and installation methods, in influencing these crucial parameters. By proposing a mathematical modeling approach based on the Arrhenius equation, the research offers a valuable contribution towards predicting cable aging and adjusting its kHA, which is fundamental for maintaining the integrity and safety of electricity distribution networks. This study appears to provide a practical and scientifically grounded framework for improving asset management strategies in the power sector. The methodology described, employing the well-established Arrhenius equation for thermal aging, is a robust choice for this application. The abstract indicates that the model predicts cable lifetime and calculates kHA derating based on ambient temperature, suggesting a direct link between environmental conditions and cable performance. The implementation of this mathematical model using MATLAB is a sound decision, as it facilitates complex computations, data analysis, and visual representation of results, which are essential for engineers to understand and apply the model's outputs effectively. This approach promises a systematic way to assess and manage cable assets. The practical implications of this research are substantial. The guidance derived from this mathematical model and simulation is crucial for more efficient and safer planning and maintenance of electrical cable infrastructure. By enabling better prediction of cable wear and derating, utility companies and system operators can make more informed decisions regarding replacement cycles, load management, and overall network optimization. This work effectively bridges theoretical modeling with practical engineering needs, ultimately contributing to enhanced operational reliability and reduced risks in electrical power distribution systems.

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