DESIGN OPTIMIZATION OF PSS2B PARAMETERS USING GENETIC ALGORITHM TOOLBOX WITH MATLAB AND DIGSILENT INTERFACE
The use of a Power System Stabilizer (PSS) as a generator excitation system is essential for maintaining system stability against low-frequency oscillations caused by the exchange of kinetic energy in the generator. Determining the optimal tuning parameters for the PSS is crucial to ensure it pro...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/82441 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | The use of a Power System Stabilizer (PSS) as a generator excitation system
is essential for maintaining system stability against low-frequency oscillations
caused by the exchange of kinetic energy in the generator. Determining the optimal
tuning parameters for the PSS is crucial to ensure it provides good performance
across all modes during disturbances. This thesis aims to design the use of a
Genetic Algorithm (GA) in MATLAB as a method to optimize the PSS2B
parameters. The optimal tuning parameters for the PSS are obtained by exchanging
eigenvalue data and frequency responses from the generator, which are then
processed using GA with the aid of the Optimization Toolbox in MATLAB. This
optimization is performed to achieve optimal parameter values that meet standards
set by WECC, the Indonesian Grid Code, and IEEE 4215-2016 standards for
excitation systems. In this thesis, the optimization design for the PSS includes the
gain, washout time constant, and time constants of the Lead-Lag Compensator
block. The results from the optimization using various approaches indicate that PSS
tuning simulation using GA in MATLAB can yield optimal PSS parameters that
comply with the established standards.. |
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