scholarly journals Damping Low Frequency Oscillations via FACTS-POD Controllers Tuned by Bees Algorithm

2018 ◽  
Vol 17 (2) ◽  
pp. 6-14 ◽  
Author(s):  
Nurul Aziah Arzeha ◽  
Mohd Wazir Mustafa ◽  
Rasyidah Mohamad Idris
Keyword(s):  
Power Systems ◽  
Low Frequency ◽  
System Stability ◽  
Bees Algorithm ◽  
Large Power ◽  
Mechanical Oscillations ◽  
Three Phase ◽  
Power Oscillation Damping ◽  
Flexible Alternating Current Transmission ◽  
Oscillation Damping

Power systems are often subject to low frequency electro-mechanical oscillations resulting from electrical disturbances and consequence of the development of interconnection of large power system. Flexible Alternating Current Transmission System (FACTS) devices with Power Oscillation Damping (POD) as the supplemet controller has been recent research interest in damping the oscillation. Bees Algorithm (BA) is applied to optimized the parameters of the FACTS-POD controller. The main objective of optimization is to improve the system stability by moving the electro-mechanical eigenvalues on the s-plane to the left as far as possible. The controller is tested on a 3-machine 9-bus system and simulated in PSAT in MATLAB environment.  The system is disturbed by increasing 10% mechanical input to Generator 2 and second disturbance is the system experiencing a three-phase fault. The performance of the system with the FACTS-POD controller is observed in terms of position of electromechanical eigenvalues on s-plane and damping responses of power oscillations where both terms shows significant improvement as compared to the system without FACTS-POD controller.

scholarly journals Design of a Damping Controller Using a Metaheuristic Algorithm for Angle Stability Improvement of an SMIB System

2022 ◽  
Vol 12 (2) ◽  
pp. 589
Author(s):  
Abdul Waheed Khawaja ◽  
Nor Azwan Mohamed Kamari ◽  
Muhammad Ammirrul Atiqi Mohd Zainuri
Keyword(s):  
Power Systems ◽  
Damping Ratio ◽  
Dynamic Performance ◽  
Low Frequency ◽  
Optimal Solution ◽  
System Stability ◽  
Large Power ◽  
Low Frequency Oscillations ◽  
Effective Role ◽  
Single Machine Infinite Bus

Low frequency oscillations in large power systems may result in system instability under large disturbances. Power system stabilisers (PSS) play an effective role in damping these low frequency oscillations by injecting a modulating signal in the excitation loop of a synchronous machine. A new metaheuristic optimisation algorithm termed the sine cosine algorithm (SCA) was proposed for optimising PSS controller parameters to obtain an optimal solution with the damping ratio as an objective function. The SCA technique was examined on a single machine infinite bus (SMIB) system under distinct loading situations and matched with a moth flame optimisation technique and evolutionary programming to design a robust controller of PSS. The simulation was accomplished using a linearised mathematical model of the SMIB. The performance of a designed lead lag-controller of PSS was demonstrated using eigenvalue analysis with simulations, showing promising results. The dynamic performance was validated with respect to the damping ratio, the eigenvalue’s location in the s-plane and rotor angle deviation response to demonstrate system stability.

Lead Lag Controller of TCSC Optimized by Bees Algorithm for Damping Low Frequency Oscillation Enhancement in SMIB

2015 ◽  
Vol 781 ◽  
pp. 374-378
Author(s):  
Nurul Aziah Arzeha ◽  
Mohd Wazir Mustafa ◽  
Rasyidah Mohamed Idris
Keyword(s):  
Power System ◽  
Transient Stability ◽  
Low Frequency ◽  
System Stability ◽  
Bees Algorithm ◽  
Low Frequency Oscillation ◽  
Electromechanical Oscillations ◽  
Power Oscillation Damping ◽  
Single Machine Infinite Bus ◽  
System Stabilizer

Power system is often vulnerable to low frequency electromechanical oscillations due to the interconnected configuration. A common lead-lag controller is used for one of the FACTS devices known as Thyristor Controlled Series Compensator (TCSC) as supplementary controller for damping purpose in order to improve transient stability and power oscillation damping of the system. As Bees Algorithm (BA) optimized the parameters of the TCSC lead-lag controller, thus its named is TCSC-BALL. In this study, the optimization problem is formulated as a constrained optimization with the main objective is to move the system eigenvalues to the left as far as possible in order to improve the system stability. Then, the system is simulated in MATLAB by using The Phillips-Heffron model for single machine infinite bus (SMIB) with responses of increases in mechanical power at t=1 second. The performance is observed in terms of electromechanical eigenvalues position on s-plane and damping responses of low-frequency oscillations where the system implemented with the TCSC-BALL controller given better results as compared to the system without and with the inclusion of conventional Power System Stabilizer (CPSS).

scholarly journals Power System Dynamic Stability Improvement with UPFC using LQR Technique

2019 ◽  
Vol 9 (1) ◽  
pp. 1714-1719
Keyword(s):  
Power Systems ◽  
Value Analysis ◽  
Systems Model ◽  
Eigen Value ◽  
Controller Performance ◽  
Power Oscillation Damping ◽  
Oscillation Damping ◽  
Power System Dynamic Stability ◽  
Simulation Condition ◽  
Damping Controller

Many damping controller devices based on other techniques have been proposed time to time. For the study of the damping performance, it has been proposed a power systems model with ‘UPFC’ and power oscillation damping controller in the present article. The proposed controller performance has been studied under different simulation condition results and that also includes various loading condition, i.e., normal with 100 percent, under loading 80 percent and overloading with 120 percent at different operational points. Finally, a better result has been observed by using the proposed damping controlling device than earlier available existing devices. However, the result obtained by using Eigen value analysis is supported by the facts obtained by the settling time analysis and the analysis of simulation results

Optimal Parameters Tuning of Power System Stabilizer via Bees Algorithm

2015 ◽  
Vol 781 ◽  
pp. 397-401
Author(s):  
Nur Safura Ab Khalid ◽  
Mohd Wazir Mustafa ◽  
Rasyidah Mohamed Idris
Keyword(s):  
Power System ◽  
Low Frequency ◽  
Optimization Methods ◽  
System Stability ◽  
Bees Algorithm ◽  
Power System Stabilizer ◽  
Low Frequency Oscillation ◽  
New Approach ◽  
Parameters Tuning ◽  
System Stabilizer

This paper presents a new approach for designing the Power System Stabilizer. As in power system network, low frequency oscillation always occurs for a long period of time that will decrease the power transfer capability. Power System Stabilizer known as PSS is being installed as one of the control devices in a generating unit. The conventional PSS (CPSS) is the most commonly used in power system, which uses lead-lag compensation. The lack in CPSS has drawn an interest of designing the new approach of PSS to outperform the conventional one. Thus, Bees Algorithm (BA) which is known as one of the numerous intelligent optimization methods is proposed in this paper. It is appears to aid the system stability by optimizing the PSS parameters tuning. The PSS with the BA approach is labelled as BA-PSS and being tested on single machine infinite bus system (SMIB) in Matlab/Simulink environment. BA-PSS performance is compared with CPSS as to validate the ability of the proposed method to achieve great performance in power system stability enhancement. Different type of mechanical input is being injected into the system and the result shows that BA-PSS is capable to optimize the parameters tuning of PSS. BA-PSS also improved the unstable or poorly stable modes as the system achieve the stability with lower overshoot and less time settling. The superior response of BA-PSS controller proved the ability of BA approach in which is capable to solve the lack in CPSS with better performance in enhancing the system stability.

scholarly journals Application of SSSC-Damping Controller for Power System Stability Enhancement

10.29007/hpts ◽  
2018 ◽  
Author(s):  
Ankit Patel ◽  
Pranav Raval ◽  
Dhaval Patel
Keyword(s):  
Power System ◽  
Power Flow ◽  
Power System Stability ◽  
System Stability ◽  
Power Flow Control ◽  
Power Oscillation Damping ◽  
Rotor Angle Stability ◽  
Stability Enhancement ◽  
Oscillation Damping ◽  
Damping Controller

At present, power demand is increasing day by day so we have to transfer more power and for this we must have to improve stability limits of our power system. In this paper application of static synchronous series compensator (SSSC) for enhancement of power system stability is throughout investigated. SSSC is effectively utilized for power flow control in the power system. A SSSC-based damping controller is proposed for power oscillation damping and to improve the rotor angle stability. A improved control signal can be superimposed as a power flow control signal for SSSC damping controller to improve the rotor angle stability and power oscillation damping in system. Speed deviation of rotor is taken as the input signal to the SSSC damping controller. A single machine infinite bus system (SMIB) with SSSC is simulated in MATLAB/Simulink software. Simulation results shows the effectiveness of this controller for power system stability enhancement under different fault conditions.

scholarly journals An Efficient Adaptive Virtual Inertia Controller for Virtual Synchronous Generators

2020 ◽  
Author(s):  
Mostafa Malekpour ◽  
Arash Kiyoumarsi ◽  
Mehdi Gholipour
Keyword(s):  
Power Systems ◽  
Frequency Control ◽  
Low Frequency ◽  
Adaptive Strategy ◽  
Synchronous Generators ◽  
Low Frequency Oscillation ◽  
Virtual Inertia ◽  
Primary Frequency ◽  
Primary Frequency Control ◽  
Oscillation Damping

This paper proposes an efficient adaptive strategy to control virtual inertia of virtual synchronous generators. This adaptive virtual inertia can provide low frequency oscillation damping and simultaneously improve primary frequency control in power systems. <br>

LQR Design Using LMIs and the Robust D-Stability Criterion for Low-Frequency Oscillation Damping in Power Systems

2021 ◽  
Author(s):  
Jefferson C. Rezende ◽  
Luis Carvalho ◽  
Jozias R. L. Neto ◽  
Marcus V. S. Costa ◽  
Elenilson V. Fortes ◽  
...  
Keyword(s):  
Power Systems ◽  
Stability Criterion ◽  
Low Frequency ◽  
Frequency Oscillation ◽  
Low Frequency Oscillation ◽  
Oscillation Damping

Simulation of low frequency undamped oscillations in large power systems

1975 ◽  
Vol 94 (2) ◽  
pp. 207-213 ◽  
Author(s):  
D.L. Bauer ◽  
Wm.D. Buhr ◽  
S.S. Cogswell ◽  
D.B. Gery ◽  
G.B. Ostroski ◽  
...  
Keyword(s):  
Power Systems ◽  
Low Frequency ◽  
Large Power ◽  
Undamped Oscillations
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