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All Journal Transmisi: Jurnal Ilmiah Teknik Elektro International Journal of Artificial Intelligence Research
Herman Nawir, Herman
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Computer Science & IT Education Electrical & Electronics Engineering

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DESAIN OPTIMAL POWER SISTEM STABILIZER PADA UNIT PEMBANGKIT BAKARU BERBASIS ANT COLONY OPTIMIZATION Djalal, Muhammad Ruswandi; Nawir, Herman; Sonong, Sonong; Marhatang, Marhatang
Transmisi Vol 21, No 3 Juli (2019): TRANSMISI
Publisher : Departemen Teknik Elektro, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (849.978 KB) | DOI: 10.14710/transmisi.21.3.70-78

Abstract

Salah satu peralatan kontrol tambahan yang mampu meningkatkan kestabilan suatu system pada generator adalah Power System Stabilizer (PSS). Ketika terjadi osilasi gangguan pada generator, PSS memberikan sinyal tambahan ke peralatan eksitasi untuk memberikan redaman tambahan pada generator. Penggunaan PSS diperlukan koordinasi penentuan parameter yang tepat untuk mencapai kontrol kinerja yang bagus untuk sistem. Pada penelitian ini, metode kecerdasan buatan algoritma Ant Colony Optimization (ACO) digunakan untuk mengoptimasi parameter PSS. Dari hasil simulasi didapatkan parameter PSS yang optimal ditinjau dari respon osilasi overshoot dan sudut rotor. Kinerja sistem tanpa PSS didapatkan overshoot frekuensi sebesar -0,02242 s/d 0,005241 pu, kemudian PSS dengan Trial error sebesar -0,0196 s/d 0,003704 pu, PSS Bat sebesar -0.01394 s/d 0.0007533 pu, dan dengan metode ant colony didapatkan overshoot yang berkurang yaitu sebesar -0,0128 s/d 0,0003349 pu. Sedangkan untuk respon sudut rotor didapatkan tanpa PSS sebesar -4,71 s/d 4,486e-05 pu, PSS trial error sebesar -4,579 s/d 4,486e-05 pu, PSS Bat sebesar -4.71 s/d 4.486e-05, dan PSS ant colony sebesar -4,566 s/d 4,545e-05 pu. Implementasi metode cerdas sebagai metode penalaan PSS dapat memperbaiki kinerja generator dalam meredam osilasi sistem multimesin.
Application of Smart Bats Algorithm for Optimal Design of Power Stabilizer System at Sengkang Power Plant Djalal, Muhammad Ruswandi; Yunus, Muhammad Yunus; Nawir, Herman; Imran, Andi
International Journal of Artificial Intelligence Research Vol 1, No 2 (2017): December 2017
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (478.323 KB) | DOI: 10.29099/ijair.v1i2.26

Abstract

The problem of using Power System Stabilizer (PSS) in generator excitation is how to determine the optimal PSS parameter. To overcome these problems, the authors use a method of intelligent bats based algorithm to design PSS. Bat Algorithm is an algorithm that works based on bat behavior in search of food source. Correlation with this research is, food sources sought by bats represent as PSS parameters to be optimized. Bat's algorithm will work based on a specified destination function, namely Integral Time Absolute Error (ITAE). In this research will be seen the deviation of velocity and rotor angle of each generator, in case of disturbance in bakaru generator. The analysis results show that the uncontrolled system produces a large overshoot oscillation, and after the addition of PSS oscillation control equipment can be muted. So that the overshoot and settling time of each generator can be reduced and the generator can quickly go to steady state condition
Co-Authors Andi Imran Hidayat, Fajar Makmur Saini Marhatang Marhatang Muhammad Ruswandi Djalal Muhammad Yunus Yunus, Muhammad Yunus Muhammad Yusuf Yunus Parantika, Dedi Salleang, Ahmad Sonong Yusuf Yunus, Muhammad Zulhaq, Zulhaq