ASHARI HS, DHENY (2017) PENALAAN OPTIMAL POWER SYSTEM STABILIZER PEMBANGKIT LISTRIK TENAGA UAP PACITAN MENGGUNAKAN HYBRID ADAPTIVE CHAOTIC DIFFERENTIAL EVOLUTION DAN REDUKSI JARINGAN BERBASIS RUGI SALURAN. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Ketidakstabilan pada suatu generator mampu menyebabkan pemadaman total pada suatu system tenaga listrik, seperti yang terjadi pada PLTU Pacitan, Senin, 12 Mei 2014. Sayangnya, analisa kestabilan dinamik masih sering menggunakan model SMIB yang hanya fokus mengamati 1 mesin saja. Dalam beberapa penelitian terakhir, analisa kestabilan dinamik multi mesin dilakukan dengan terlebih dahulu mereduksi system multi mesin menjadi single mesin. Metode reduksi jaringan yang umum digunakan adalah metoda konvensional seperti REI-Dimo, Ward Equivalent, dan Cohenrency Equivalent. Metode reduksi yang lebih baru menggunakan rugi-rugi jaringan untuk mendapatkan nilai impedansi ekuivalen saluran antara generator dengan bus tak berhingga. Metode baru ini menawarkan proses kalkulasi yang sederhana dibandingkan metode yang lain. Namun, metode baru ini memiliki kelemahan seperti, tidak terjaminnya konvergensi dan tidak merepresentasikan operating point mesin. Oleh karena itu, untuk mengatasi permasalahan tersebut dilakukan pendekatan reduksi menggunakan power flow tracing untuk menentukan kontribusi generator pada sistem secara utuh.
Model SMIB hasil reduksi digunakan sebagai dasar penalaan power system stabilizer. PSS mampu meningkatkan redaman osilasi jika ditala secara optimal. Untuk mendapatkan penalaan dan redaman optimal, digunakan pendekatan optimasi hybrid adaptive chaotic differential evolution (HACDE). Metode optimasi DE merupakan metode yang unik, sederhana, handal, dan cepat konvergen. Analisa eigenvalue multi-objective digunakan sebagai fungsi objektif metode optimasi HACDE.
Berdasarkan simulasi, metode power flow tracing lebih unggul dibandingkan metode superposisi dalam hal mencari kerugian saluran akibat kontribusi daya sebuah generator. Kemudian, berdasarkan hasil simulasi penalaan parameter PSS pada Generator Pacitan Sistem Transmisi 150kV Jawa Tengah didapatkan urutan metode optimasi yang memiliki nilai fitness menggunakan eigenvalue terbaik, yaitu HACDE (0,869), DE (0,722), RD-PSO (0,686), dan PSO (0,534). Selain itu melalui evaluasi domain waktu menggunakan ITAE didapatkan urutan, yaitu HACDE (12,89), PSO (14,78), DE (16,02), dan RD-PSO (21,21). Oleh karena itu, HACDE lebih unggul untuk mendapatkan nilai optimal parameter PSS guna memberikan redaman optimal pada osilasi Generator Pacitan.
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Instability in the generator might cause a total blackout in an electric power system, as happened in Pacitan power plant, Monday, May 12, 2014. Unfortunately, dynamic stability analysis is still frequent use SMIB models that focus only observe one machine only. In some recent research, dynamic stability analysis of multi-machine reduces into single-machine. Commonly Network reduction method is used such as REI-Dimo, Ward Equivalent and Equivalent Cohenrency. Newer reduction method uses network loss to obtain the equivalent impedance between the generator and the infinite bus. This new method offers a simple calculation process compared to the other methods. However, this new method has drawbacks such, it does not guarantee convergence and does not represent the operating point of the machine. Therefore, to overcome these problems, this research offers the new network reduction approach using power flow tracing to determine the contribution of the generator for a whole system.
SMIB model resulted from reduction is used as the basis tuning power system stabilizer. PSS is able to increase the oscillation damping if tuned optimally. To obtain optimal tuning and damping, new optimization approach called hybrid chaotic adaptive differential evolution (HACDE). DE optimization method is a method that is unique, simple, reliable, and fast converging. Multi-objective eigenvalue analysis is used as objective function.
Based on the simulation, the power flow tracing method is superior to superposition method to obtain network loss due to contribution power by a generator. Then, based on simulation results tuning parameter PSS at Pacitan Generator Transmission System 150 kV Central Java, obtained by optimization method has a fitness value based on eigenvalue, HACDE (0.869), DE (0.722), RD-PSO (0.686) and PSO (0.534). In addition, time domain evaluation uses ITAE obtained, HACDE (12.89), PSO (14.78), DE (16.02), and RD-PSO (21.21). Therefore, HACDE has superior performance to get the optimal parameter PSS to provide optimal damping in Pacitan Generator.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Uncontrolled Keywords: | DE, Kerugian Jaringan, Kestabilan Dinamik, Power Flow Tracing, PSS, Reduksi Jaringan, SMIB, Differential Evolution (DE), Network Loss, Dynamic Stability, Power Flow Tracing, PSS, Network Reduction, SMIB. |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK201 Electric Power Transmission T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK3226 Transients (Electricity). Electric power systems. Harmonics (Electric waves). |
| Divisions: | Faculty of Industrial Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis |
| Depositing User: | - DHENY ASHARI HS |
| Date Deposited: | 24 Jan 2017 04:02 |
| Last Modified: | 06 Mar 2019 02:43 |
| URI: | http://repository.its.ac.id/id/eprint/2815 |
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