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.

Comparing the Performance of UPFC Damping Controller on Damping Low Frequency Oscillations

2015 ◽  
Vol 793 ◽  
pp. 242-246
Author(s):  
Arizadayana Zahalan ◽  
Noor Fazliana Fadzail ◽  
Muhammad Irwanto Misrun
Keyword(s):  
Power System ◽  
Low Frequency ◽  
System Model ◽  
Low Frequency Oscillations ◽  
Damping Controllers ◽  
Single Machine Infinite Bus ◽  
Linearized Model ◽  
System Stabilizer ◽  
Small Disturbances ◽  
Damping Controller

This paper compares the performance of UPFC damping controller (, and ) to damp Low Frequency Oscillations (LFO) in power system equipped with UPFC based on Fuzzy Logic Power System Stabilizer (UPFC based FLPSS). The power system model was developed using linearized model of Phillips-Heffron Single Machine Infinite Bus (SMIB) and simulated in Matlab Simulink. The ability of each controller to damp LFO present in the rotor speed was monitored when the system being perturbed by small disturbances. The results obtained shown that UPFC controller had better performance to damp LFO compared to the other UPFC damping controllers as it had the lowest overshoot and less settling time.

Real-Coded Genetic Algorithm for Robust Design of UPFC Supplementary Damping Controller

2012 ◽  
pp. 283-288
Author(s):  
S. C. Swain ◽  
S. Mohapatra ◽  
S. Panda ◽  
S. R. Nayak
Keyword(s):  
Genetic Algorithm ◽  
Phase Angle ◽  
Single Machine ◽  
Low Frequency ◽  
Low Frequency Oscillations ◽  
Damping Controllers ◽  
Real Coded Genetic Algorithm ◽  
Simulation Results ◽  
Single Machine Infinite Bus ◽  
Damping Controller

In this paper RCGA is used in Designing UPFC based supplementary damping controllers for damping low frequency oscillations in a single machine infinite bus power system. The detail investigations have been carried out considering the four alternatives UPFC based damping controller namely modulating index of series inverter (MB),modulating index of shunt inverter (ME),phase angle of series inverter (∂B) & phase angle of shunt inverter (∂E).RCGA is employed to optimize damping controller parameters. Simulation results are presented & compared with a conventional method of tuning the damping controller parameters to show effective of the proposed design approach.

scholarly journals Application of Neuro-Fuzzy Controller to Replace SMIB and Interconnected Multi-Machine Power System Stabilizers

2020 ◽  
Vol 12 (22) ◽  
pp. 9591 ◽  
Author(s):  
Aliyu Sabo ◽  
Noor Izzri Abdul Wahab ◽  
Mohammad Lutfi Othman ◽  
Mai Zurwatul Ahlam Mohd Jaffar ◽  
Hakan Acikgoz ◽  
...  
Keyword(s):  
Power Systems ◽  
Power System ◽  
Fuzzy Controller ◽  
Operating Conditions ◽  
System Stability ◽  
Test Power ◽  
Large Power ◽  
Neuro Fuzzy ◽  
And Performance ◽  
Damping Controller

In this research, an effective application and performance assessment of the Neuro-Fuzzy Controller (NFC) damping controller is designed to replace a single machine infinite bus (SMIB) power system stabilizer (PSS), and coordinated multi PSSs in large interconnected power systems are presented. The limitation of the conventional PSSs on SMIB and interconnected multi-machine test power systems are exposed and disclosed by the proposed NFC stabilizer. The NFC is a nonlinear robust controller which does not require a mathematical model of the test power system to be controlled, unlike the conventional PSSs’ damping controller. The Proposed NFC is designed to improve the stability of SMIB, an interconnected IEEE 3-machine, 9-bus power system, and an interconnected two-area 10-machine system of 39-bus New England IEEE test power system under multiple operating conditions. The proposed NFC damping controller performance is compared with the conventional PSS damping controller to confirm the capability of the proposed stabilizer and realize an improved system stability enhancement. The conventional PSSs’ design problem is transformed into an optimization problem where an eigenvalue-based objective function is developed and applied to design the SMIB-PSS and the interconnected multi-machine PSSs. The time-domain phasor simulation was done in the SIMULINK domain, and the simulation results show that the transient responses of the system rise time, settling time, peak time, and peak magnitude were all impressively improved by an acceptable amount for all the test system with the proposed NFC stabilizer. Thus, the NFC was able to effectively control the LFOs and produce an enhanced performance compared to the conventional PSS damping controller. Similarly, the result validates the effectiveness of the proposed NFC damping controller for LFO control, which demonstrates more robustness and efficiency than the classical PSS damping controller. Therefore, the application and performance of the NFC has appeared as a promising method and can be considered as a remarkable method for the optimal design damping stabilizer for small and large power systems.

A Robust Control with the Combination of Fuzzy and SMC to Stabilize the Power System

2016 ◽  
Vol 4 (2) ◽  
pp. 341
Author(s):  
Mohammadreza Barzegaran ◽  
Sana Tajvidi
Keyword(s):  
Power Systems ◽  
Power System ◽  
Single Machine ◽  
Fuzzy Controller ◽  
Sliding Mode ◽  
Convergence Time ◽  
Power System Stabilizer ◽  
Sliding Mode Controller ◽  
Single Machine Infinite Bus ◽  
System Stabilizer

<p>Common power system stabilizer (CPSS), fuzzy power system stabilizer (FPSS) and sliding mode controller (SMC) are common controllers which are used in controlling single machine infinite bus (SMIB) power systems. Each of these controllers has disadvantages. CPSS is not robust enough to stabilize the power system perfectly. SMC is more robust than CPSS but in the presence of big uncertainties it is unable to stabilize power system. FPSS is enough robust in the presence of big uncertainties, but it causes chattering when high switching gain is needed. The goal of this paper is to present a robust controller for a single machine infinite bus (SMIB). The proposed controller is a direct fuzzy controller assisted with a sliding mode controller. The simulation shows clear positive effect and validity of the method in convergence, time and accuracy.</p>

UPFC Device Application on Power System Oscillations to Improve the Damping Performance

2013 ◽  
Vol 694-697 ◽  
pp. 830-837 ◽  
Author(s):  
Ali Nasser Hussain ◽  
F. Malek ◽  
Mohd. Abdur Rashid ◽  
Latifah Mohamed ◽  
Ismail Daut
Keyword(s):  
Power System ◽  
Transmission Lines ◽  
Low Frequency ◽  
Superior Performance ◽  
Low Frequency Oscillations ◽  
System Stabilizer ◽  
Chaotic Particle Swarm Optimization ◽  
The Individual ◽  
Ac Transmission ◽  
Damping Controller

UPFC is considered as an important modern device in the flexible ac transmission systems family that provides the controllability and flexibility for transmission lines. It is also capable of enhancing the stability of the power system by the addition of a supplementary damping controller, which can be installed on any control channel of the UPFC inputs to implement the task of power oscillation damping controller. This paper presents the application of UPFC to enhance damping of low frequency oscillations by the simultaneous coordinated design between power system stabilizer and different UPFC supplementary damping controller in order to identify the design that provided the most robust damping performance in a single machine infinite bus. The parameters of the damping controller were tuned in the individual and coordinated design by using a chaotic particle swarm optimization algorithm that optimized the given eigenvalue-based objective function. The results analysis reveals that the proposed coordinated designs have high ability in damping Low-frequency oscillations and improve the system damping over their individual control responses. In addition, the coordinated design PSS & δE provides superior performance in comparison to the all coordinated designs.

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