STUDI GENERATOR DENGAN KENDALI LOGIKA FUZZY DAN KONVENSIONAL PADA PEREDAMAN OSILASI FREKUENSI RENDAH
| Main Authors: | , ARI SANTOSO, , Dr. Ir. Sasongko Pramono Hadi, DEA. |
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| Format: | Thesis NonPeerReviewed |
| Terbitan: |
[Yogyakarta] : Universitas Gadjah Mada
, 2012
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| Subjects: | |
| Online Access: |
https://repository.ugm.ac.id/99844/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=56071 |
Daftar Isi:
- Some variations and combinations of AVR-PSS, as a stabilizing control system in a synchronous generator, are aimed at enhancing the damping capacity of oscillation existence. One of the novel stabilizing systems is the implementation on the fuzzy-logic-based control system. The performance of the combination of the conventional and fuzzy-based control systems implemented on the AVR-PSS synchronous generator should be tested for stability of such operating system on low-frequency oscillation damping. The purpose of this research is to model, simulate, test, and observe the response time of a conventional control system combined with a fuzzy-logic- based control system of the AVR-PSS equipment which is mounted on a SMIB. The combinations of their configurations are: AVR-C and PSS-C, AVR-FLC and PSS-C, AVR-C and PSS-FLC, and AVR-FLC and PSS-FLC. The measures of the research are selecting models, selecting the AVR-PSS types, deriving transfer functions, creating simulations, and testing models with simulations. Both of combinations with certain loads are simulated. Then, analysis is conducted on the performance of each combination and configuration. After that, the specific problem, namely the Pe output variable, is observed. A simulation test on the mechanical startup of t = 1 second is conducted, followed by the electrical excitation startup of t = 20 seconds. Referring to the input of Vt = 1 p.u at the load of PL = 0.2 p.u, the result show that the best configuration is the combination of the AVR-FLC and PSS-C of which overshoot response time = 1.37%, with a damping ratio ofï� S = 0.1425 and an infinite steady system. The simulation results prove that the fuzzy-based system application implemented on two generator stabilizing equipments, which the inferences are designed separately, shows no best-even unstable-performance.