OPTIMAL DESIGN PSS-PID CONTROL ON SINGLE MACHINE INFINITE BUS USING ANT COLONY OPTIMIZATION

SINERGI ◽  
2021 ◽  
Vol 25 (2) ◽  
pp. 169
Author(s):  
Nasrun Kadir ◽  
Muhammad Ruswandi Djalal
Keyword(s):  
Parameter Optimization ◽  
Single Machine ◽  
Pid Control ◽  
Control Method ◽  
Settling Time ◽  
Ant Colony ◽  
System Response ◽  
Control Scheme ◽  
Rotor Angle ◽  
Single Machine Infinite Bus

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.

scholarly journals PENALAAN OPTIMAL KONTROLER PSS-PID PADA SISTEM SINGLE MACHINE INFINITE BUS MENGGUNAKAN ANT COLONY OPTIMIZATION

2021 ◽  
Vol 10 (1) ◽  
pp. 76
Author(s):  
Muhammad Ruswandi Djalal ◽  
Nasrun Kadir
Keyword(s):  
Steady State ◽  
Ant Colony Optimization ◽  
Single Machine ◽  
Settling Time ◽  
Ant Colony ◽  
Proportional Integral ◽  
Single Machine Infinite Bus

Perubahan beban pada sistem tenaga listrik secara tiba-tiba menyebabkan terjadinya gangguan dinamik. Gangguan tersebut menyebabkan kestabilan generator terganggu, karena generator tidak merespon gangguan tersebut secara cepat. Hal ini menyebabkan terjadinya osilasi pada generator berupa osilasi frekuensi dan sudut rotor. Salah satu peralatan kontrol tambahan yang mampu meningkatkan kestabilan suatu generator adalah Power Sistem Stabilizer (PSS) dan Proportional Integral Derrivative (PID). Dalam aplikasinya, penentuan parameter kontroler ini masih menggunakan metode trial & error, metode ini sangat sulit untuk mendapatkan parameter yang tepat. Dengan menggunakan metode cerdas berbasis Ant Colony didapatkan parameter PSS-PID yang optimal. Dengan penalaan optimal didapatkan respon frekuensi dan sudut rotor sistem SMIB yang optimal, ditunjukkan dengan respon overshot sistem yang minimum. Kontroler mampu memberikan kestabilan sehingga osilasi overshoot dapat diredam, serta kinerja settling time yang semakin cepat untuk sistem menuju ke kondisi steady state. Untuk menguji kestabilan sistem SMIB digunakan studi kasus penambahan dan pengurangan beban, dengan metode kontrol yang diusulkan PSS-PID yang dioptimasi menggunakan Ant Colony.

scholarly journals Neuro-PID Control for Electric Vehicle

2011 ◽  
Vol 15 (7) ◽  
pp. 846-853 ◽  
Author(s):  
Shigeru Omatu ◽  
◽  
Michifumi Yoshioka ◽  
Toru Fujinaka ◽  
◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Pid Control ◽  
Control Method ◽  
Torque Control ◽  
Learning Ability ◽  
Control Problems ◽  
Process Industries ◽  
The Neural Network ◽  
Control Scheme ◽  
Self Tuning

In this paper we consider the neuro-control method and its application to control problems of an electric vehicle. The neuro-control methods adopted here is based on Proportional-plus-Integral-plus-Derivative (PID) control, which has been adopted to solve process control or intelligent control problems. In Japan about eighty four percent of the process industries have used the PID control. After deriving the self-tuning PID control scheme (neuro-PID) using the learning ability of the neural network, we will show the control results by using the speed and torque control of an electric vehicle.

scholarly journals Nonlinear robust control for single-machine infinite-bus power systems with input saturation

2017 ◽  
Vol 65 (1) ◽  
pp. 3-9
Author(s):  
Y. Wan
Keyword(s):  
Power Systems ◽  
Power System ◽  
Single Machine ◽  
Input Saturation ◽  
Control Law ◽  
System A ◽  
Control Scheme ◽  
Single Machine Infinite Bus ◽  
The Stability ◽  
Nonlinear Robust

Abstract In this paper, a new control scheme is proposed to achieve stability for a single-machine infinite-bus power system. A power system model simultaneously considering input saturation and time-varying uncertainties is presented. A sufficient condition for the system convergence is given and based on this result, a switching excitation control law with auxiliary system is designed. The stability analysis and simulation results all show that the developed controller is effective.

scholarly journals Leader-Following Control System Design Based on Back-stepping Control Strategy

2020 ◽  
Author(s):  
Dong-Hun Lee ◽  
Duc-Quan Tran ◽  
Young-Bok Kim
Keyword(s):  
Control System ◽  
Motion Control ◽  
Control Strategy ◽  
Pid Control ◽  
Control Method ◽  
Nonlinear Parameters ◽  
Control Scheme ◽  
Leader Following ◽  
Back Stepping Control ◽  
And Control

In this study, a motion control problem for the vessels towed by tugboats or towing ships on the sea is considered. The towed vessels including barge ships are need to have assistance of tugboats. Combining two vessels, some work purposes in the sea or harbor area can be completed. In this study, the authors give newly developed mathematical model and control system strategy. Especially, the system model fully presenting the physical characteristics of two vessels are derived. For controlling the system effectively, it is considered that the towed vessel has no power propulsion system but the rudder is activated to improve the maneuverability. Considering the strong nonlinearities included in the vessel dynamics, the modelled system is presented by nonlinear system without linearization of nonlinear parameters. Thus, the control system for the towed vessel is designed based on the nonlinear control scheme. Exactly, the back-stepping control method is applied to its motion control. Also, the PID control method is applied for comparing with the proposed control strategy.

Application of a neuro-fuzzy controller for single machine infinite bus power system to damp low-frequency oscillations

2021 ◽  
pp. 014233122110427
Author(s):  
Aliyu Sabo ◽  
Noor Izzri Abdul Wahab ◽  
Mohammad Lutfi Othman ◽  
Mai Zurwatul Ahlam Mohd Jaffar ◽  
Hamzeh Beiranvand ◽  
...  
Keyword(s):  
Power System ◽  
Parameter Optimization ◽  
Single Machine ◽  
Fuzzy Controller ◽  
Low Frequency ◽  
Test System ◽  
Low Frequency Oscillations ◽  
Neuro Fuzzy ◽  
Single Machine Infinite Bus ◽  
Damping Controller

Generally, power systems experience a variety of disturbances that can result in low frequency electromechanical oscillations. These low frequency oscillations (LFOs) take place among the rotors of synchronous generators connected to the power system. These oscillations may sustain and grow to cause system separation if no adequate damping is provided. Power system stabilizers (PSSs) are one of the alternative devices used to solve this rotor oscillation problem. The major limitation of using PSSs at the excitation system of synchronous machine is that the conventional PSS is a permanent parameter type operating under a particular system operating condition, and its parameters are acquired through trial and error. An efficient way of operating the PSS has been by designing the PSS parameters using a powerful optimization procedure. However, designing PSS damping controller is a cumbersome task as it needs a comprehensive test system modeling and a heavy computational burden on the system. In this research, a novel, model-free neuro-fuzzy controller (NFC) is designed as the LFOs’ damping controller to substitute the traditional PSS system making the power system simple without complications in PSS design and parameter optimization. The proposed controller application implements the LFOs’ control without a linearized mathematical model of the system, as such it makes the system less complex and bulky. Single machine infinite bus (SMIB) test system was simulated in SIMULINK domain with the PSSs and with the proposed controller to compare the NFC effectiveness. The simulation outcome for the eigenvalue study with NFC stabilizer yields steady eigenvalues that enhanced the damping status of the system greater than 0.1 with decreased overshoots and time to rise via the proposed NFC process than with the conventional FFA-PSS. Similarly, the generator transient reaction also presents the ω and δ based on the time to settle was improved by 64.66% and 28.78%, respectively, via the proposed NFC process than with the conventional FFA-PSS. Finally, the conventional PSS was found to be complicated in its design, parameter optimization and less effective than the proposed controller for the LFOs’ control.

Controlling the Rotor Angle Stability of Single Machine Infinite Bus System in the Presence of Wiener and Alpha-Stable Levy Type Power Fluctuations

2020 ◽  
Vol 19 (04) ◽  
pp. 2050036
Author(s):  
F. Acar Savacı ◽  
Serpil Yılmaz
Keyword(s):  
Single Machine ◽  
Sensitivity Function ◽  
Stochastic Sensitivity ◽  
Power Fluctuations ◽  
Angle Stability ◽  
Rotor Angle ◽  
Single Machine Infinite Bus ◽  
Rotor Angle Stability ◽  
Type Power ◽  
Bus System

The integration of renewable energy sources into the power systems and the growth of electricity consumption leads to a considerable increase in the power fluctuations. In the first part of this study, the control of the rotor angle stability of single machine infinite bus system in the presence of Wiener type power fluctuations has been achieved by minimizing the corresponding stochastic sensitivity function. In the second part, the power fluctuations have been modeled by alpha-stable Levy processes and since stochastic sensitivity function is not available for alpha-stable Levy processes, then the control of the rotor angle stability has been numerically achieved by minimizing the corresponding rotor angle dispersion for the first time in the literature.

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