Desain Sistem Monitoring Energi Listrik Menggunakan Branch Current Based State Estimation Pada Jaringan Distribusi Radial

Laili, Clairina Elora (2026) Desain Sistem Monitoring Energi Listrik Menggunakan Branch Current Based State Estimation Pada Jaringan Distribusi Radial. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Sistem distribusi tenaga listrik memerlukan monitoring yang akurat untuk menggambarkan kondisi arus dan tegangan, namun keterbatasan titik pengukuran menyebabkan tidak seluruh Cabang dapat diamati langsung. Penelitian ini membahas desain monitoring energi listrik menggunakan metode Branch Current Based State Estimation dengan Weighted Least Squares pada jaringan distribusi radial tiga fasa. Data pengukuran Power Meter dikombinasikan dengan pseudo-measurement untuk meningkatkan observabilitas. Optimasi penempatan Power Meter dilakukan menggunakan Particle Swarm Optimization dengan jumlah alat ukur dibatasi tiga unit. Sistem dimodelkan dari Cabang 1 sampai Cabang 7, dengan Cabang 1 sebagai Cabang referensi dan Cabang 2 sampai Cabang 7 sebagai Cabang beban. Evaluasi dilakukan pada kondisi low load, medium load, dan high load. Hasil optimasi menunjukkan konfigurasi terbaik berada pada Cabang 4, Cabang 6, dan Cabang 7 dengan penurunan eror stabilized MAPE arus sebesar 33,800%, 51,370%, dan 56,250% pada kondisi low load, medium load, dan high load. Setelah itu, Weighted WLS tambahan diterapkan pada Cabang 2, Cabang 3, dan Cabang 5 dengan bobot 16, 4, dan 16. Pembobotan ini menurunkan eror stabilized MAPE arus menjadi 17,406%, 9,653%, dan 6,943% pada kondisi low load, medium load, dan high load. Pada estimasi tegangan, eror MAPE berada di bawah 1% pada seluruh kondisi pembebanan menunjukkan performa estimasi tegangan berada di tingkat eror yang rendah. Berdasarkan sistem distribusi radial tiga fasa yang diuji, kombinasi PSO dan Weighted WLS mampu memperbaiki estimasi arus pada cabang tanpa Power Meter.
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Electrical power distribution systems require accurate monitoring to represent current and voltage conditions. However, the limited number of measurement points makes it impossible to directly observe all branches within the network. This study presents the design of an electrical energy monitoring system using the Branch Current-Based State Estimation method with Weighted Least Squares (WLS) for a three-phase radial distribution network. Power meter measurement data are combined with pseudo-measurements to improve system observability. The optimal placement of power meters is determined using Particle Swarm Optimization (PSO), with the number of measurement devices limited to three units. The system is modeled from Branch 1 to Branch 7, where Branch 1 serves as the reference branch and Branches 2 to 7 represent load branches. Performance evaluation is conducted under low-, medium-, and high-load conditions. The optimization results indicate that the optimal power meter placement is at Branches 4, 6, and 7, reducing the stabilized current MAPE by 33.800%, 51.370%, and 56.250% under low-, medium-, and high-load conditions, respectively. Furthermore, Weighted WLS is applied to Branches 2, 3, and 5 using weighting factors of 16, 4, and 16, respectively. This weighting scheme further reduces the stabilized current MAPE to 17.406%, 9.653%, and 6.943% under low-, medium-, and high-load conditions. For voltage estimation, the MAPE remains below 1% across all loading scenarios, indicating consistently high estimation accuracy. Overall, the results demonstrate that the combination of PSO and Weighted WLS effectively improves current estimation accuracy for branches without direct power meter measurements in a three-phase radial distribution system.

Item Type:	Thesis (Masters)
Uncontrolled Keywords:	BCBSE-WLS, Pseudo-measurement, PSO, Distribusi Radial BCBSE-WLS, Pseudo-measurement, PSO, Radial Distribution.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK3030 Electric power distribution systems
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20101-(S2) Master Thesis
Depositing User:	Clairina Elora Laili
Date Deposited:	22 Jul 2026 03:16
Last Modified:	22 Jul 2026 03:16
URI:	http://repository.its.ac.id/id/eprint/136173

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