CD Skripsi

Identifikasi Osilasi Pada Sistem Tenaga Menggunakan Metode Eigensystem Realization Algorithm (Era)

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ABSTRACT
Monitoring small-signal stability in power systems has become increasingly important as network interconnections grow more complex. Electromechanical oscillations triggered by small disturbances must be accurately identified to prevent performance degradation and potential system instability. This study applies the Eigen System Realization Algorithm (ERA) to estimate modal parameters, including oscillation frequency and damping ratio, from ringdown signals. The Two Area Four Machine System was modeled in DIgSILENT PowerFactory, and two disturbance scenarios three-phase fault and load switching were used to generate oscillation responses. The resulting data were processed and analyzed in MATLAB using the ERA method. Additionally, the effects of sampling frequency variations and data length on estimation accuracy were evaluated. The results indicate that ERA successfully identifies both local and inter-area modes with small frequency deviations compared to modal analysis. A higher sampling frequency did not produce better identification results, as the findings show that a sampling frequency of 20 Hz yielded a smaller percentage error. Data window length also influences identification accuracy, where shorter data durations lead to undetected modes or higher estimation erors. Overall, ERA proves effective for data-driven modal identification and shows strong potential for supporting small-signal stability monitoring in Wide Area Monitoring Systems (WAMS).
Keywords: Small-Signal Stability, Ringdown Analysis, ERA, Modal Analysis, WAMS, DIgSILENT PowerFactory.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

2107110513

Penerbit

Pekanbaru : Universitas Riau – F.TEKNIK – Elektro., 2025

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

2107110513

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

TEKNIK ELEKTRO

Info Detail Spesifik

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Pernyataan Tanggungjawab

daus

Versi lain/terkait

Lampiran Berkas

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