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- Title
Stability Improvement of Single Machine using ANFISPSS Based on Feedback-linearization.
- Authors
Ginarsa, I. Made; Zebua, Osea
- Abstract
Electrical power system (EPS) operation always follows load changes which occur within time. Load changes and disturbances cause EPS operation to find a new balance point and before can reach the new balance point, the rotor speed will swing around its synchronous speed. This phenomenon causes the stability of the EPS operation decrease significantly, moreover, when the disturbance is large the machine tend to become unstable. To overcome this problem, it is necessary to add a power system stabilizer (PSS). This research proposes ANFIS-PSS based on feedback-linearization to stabilize the EPS operation. Feedback-linearization is a nonlinear control technique which feedback and limits several outputs in order to make the nonlinear system acts as a linear system. Data from conventional PSS is used to train and to update ANFIS-PSS parameters. Simulation results show an improvement of the stability of single machine model such as decreasing in maximum magnitude of rotor speedat the value of 0.466 rad/s and to reduce the time settling to 5.6 s.
- Subjects
ELECTRIC power systems; ELECTRONIC linearization; ELECTRONIC feedback; ARTIFICIAL neural networks; ROTORS
- Publication
Telkomnika, 2014, Vol 12, Issue 2, p315
- ISSN
1693-6930
- Publication type
Article
- DOI
10.12928/TELKOMNIKA.v12i2.1977