SMIB stability enhancement using capacitive energy storage and PID based on ant colony optimization

Yunus, A. M. Shiddiq; Djalal, Muhammad Ruswandi; Akil, Yusri Syam

doi:10.1088/1755-1315/575/1/012241

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…This research uses a case study on Single Machine Infinite Bus (SMIB). SMIB is one part of the electric power system which consists of several generators connected to an unlimited bus [6], [7].…”

Section: Introductionmentioning

confidence: 99%

Optimal Design of PSS on SMIB Using Particle Swarm Optimization

Djalal¹,

Saini²,

Yunus³

2021

Intek

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Dynamic disturbances in the power system are caused by sudden changes in load. This condition causes the stability of the generator to be disturbed, such as the emergence of oscillations in the generator in the form of oscillations of frequency and rotor angle. Power System Stabilizer (PSS) is an additional control that can increase generator stability. To get optimal PSS performance, proper tuning of PSS parameters is needed. Optimal performance of PSS can cause the frequency response and angle of the SMIB rotor to be stable. In this study, PSO is used for optimization of PSS parameters. PSS is able to provide stability so that overshoot oscillations can be suppressed, as well as faster settling time performance for the system to reach steady state conditions. To test the reliability of the SMIB, a case study of adding and subtracting loads was used.

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Section: Introductionmentioning

confidence: 99%

Optimal Design of PSS on SMIB Using Particle Swarm Optimization

Djalal¹,

Saini²,

Yunus³

2021

Intek

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“…However, the range of equipment parameters is very diverse and broad, so to get the parameter values quickly, an optimization method using ACO is used. The response value is known by analyzing the overshoot and settling time values, while the objective function minimizes Integral Time Absolute Error (ITAE) [16] [17].…”

Section: Introductionmentioning

confidence: 99%

Optimal Design PSS-Pid Control on Single Machine Infinite Bus Using Ant Colony Optimization

Kadir¹,

Djalal²

2021

Sinergi

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Optimization of the controller in a generator can improve system performance. The right parameter optimization is needed to get the optimal performance from the controller. The application of the artificial intelligence method as a parameter optimization method is proposed in this study. By using the smart method based on Ant Colony, the optimal PSS-PID parameters are obtained. With optimal tuning, the system gets optimal Single Machine Infinite Bus (SMIB) system frequency and rotor angle response, indicated by the minimum overshot system response. The SMIB system's stability will be tested. A case study of adding and reducing loads is used, with the proposed control method PSS-PID being optimized using Ant Colony. Based on the analysis using the proposed PSS-PID control, we get the minimum overshoot for the frequency response and rotor angle of the SMIB system. When the load changes at 20 seconds, using the PSS-PID control scheme, the minimum overshoot is -4.316e-06 to 7.598e-05 pu with a settling time of 22.01s. For the rotor angle overshoot response, using the PSS-PID control scheme, the minimum overshoot is -0.01113 to -0.009669 pu with a settling time of 22.36s.

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