Analisis Critical Clearing Time (CCT) Akibat Penetrasi Energi Terbarukan Menggunakan Feedforward Neural Network (FNN) Dengan Metode Critical Trajectory

Hardiantanto, Raihan Nur (2026) Analisis Critical Clearing Time (CCT) Akibat Penetrasi Energi Terbarukan Menggunakan Feedforward Neural Network (FNN) Dengan Metode Critical Trajectory. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Peningkatan penetrasi energi terbarukan berbasis inverter menyebabkan berkurangnya kontribusi inersia alami dalam sistem tenaga listrik, sehingga memengaruhi kestabilan transien. Untuk meningkatkan karakteristik dinamis inverter, digunakan strategi kontrol Virtual Synchronous Generator (VSG) yang memungkinkan inverter meniru perilaku generator sinkron melalui inersia dan redaman virtual. Dampak penetrasi inverter dengan kontrol VSG terhadap kestabilan transien dianalisis melalui parameter Critical Clearing Time (CCT), yaitu batas waktu maksimum pemutusan gangguan agar sistem dapat mempertahankan sinkronisasi. Penelitian ini menganalisis pengaruh penetrasi inverter yang dimodelkan sebagai VSG terhadap nilai CCT menggunakan metode Critical Trajectory, serta mengembangkan model prediksi CCT berbasis Feedforward Neural Network (FNN). Studi dilakukan pada sistem IEEE 9 Bus dan IEEE 30 Bus yang dimodifikasi dengan penambahan inverter berkontrol VSG pada beberapa bus tertentu. Hasil analisis menunjukkan bahwa pada kondisi tanpa VSG, nilai CCT pada beberapa gangguan kritis relatif rendah, misalnya sebesar 0,7340 s. Setelah penambahan VSG, nilai tersebut meningkat signifikan hingga 2,8336 s pada sistem 30 bus. Secara umum, pengaruh penetrasi VSG terhadap CCT bergantung pada skala sistem. Pada sistem 9 bus, peningkatan penetrasi dari 16% hingga 27% menurunkan CCT dari 0,9328 s menjadi 0,5260 s. Sebaliknya, pada sistem 30 bus, peningkatan penetrasi dari 14% hingga 30% meningkatkan CCT dari 1,2715 s menjadi 1,3565 s. Model FNN mampu memprediksi nilai CCT dengan akurasi tinggi, dengan rata-rata akurasi 99,45% pada sistem 9 bus dan 99,57% pada sistem 30 bus. Hasil ini menunjukkan bahwa penetrasi inverter berkontrol VSG tidak selalu menurunkan kestabilan sistem, melainkan dipengaruhi oleh ukuran sistem dan tingkat penetrasi.
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Increasing the penetration of inverter based renewable energy reduces the natural inertia contribution of power systems, thereby affecting transient stability. To enhance the dynamic characteristics of inverters, a Virtual Synchronous Generator (VSG) control strategy is implemented, allowing the inverter to emulate the behavior of a synchronous generator through virtual inertia and damping. The impact of inverter penetration with VSG control on transient stability is analyzed using the Critical Clearing Time (CCT), defined as the maximum allowable fault clearing time for the system to maintain synchronism. This study analyzes the effect of inverter penetration modeled as VSG on CCT values using the Critical Trajectory method and develops a CCT prediction model based on a Feedforward Neural Network (FNN). The study is conducted on modified IEEE 9 Bus and IEEE 30 Bus systems with VSG controlled inverters installed at selected buses. The results show that under the condition without VSG, the CCT value for several critical faults is relatively low, for example 0.7340 s. After the integration of VSG, the value significantly increases to 2.8336 s in the 30 bus system. In general, the impact of VSG penetration on CCT depends on system scale. In the 9 bus system, increasing penetration from 16% to 27% reduces CCT from 0.9328 s to 0.5260 s. In contrast, in the 30 bus system, increasing penetration from 14% to 30% raises CCT from 1.2715 s to 1.3565 s. The developed FNN model predicts CCT with high accuracy, achieving an average accuracy of 99.45% in the 9-bus system and 99.57% in the 30-bus system. These findings indicate that VSG-controlled inverter penetration does not universally decrease system stability; rather, its impact depends on system size and penetration level.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Critical Clearing Time, Critical Trajectory, Virtual Synchronous Generator, Feedforward Neural Network, Stabilitas Transien, Critical Clearing Time, Critical Trajectory Method, Virtual Synchronous Generator, Feedforward Neural Network, Transient Stability
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK3226 Transients (Electricity). Electric power systems. Harmonics (Electric waves).
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User:	Raihan Nur Hardiantanto
Date Deposited:	17 Jun 2026 07:14
Last Modified:	17 Jun 2026 07:14
URI:	http://repository.its.ac.id/id/eprint/133826

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