scholarly journals Modeling and Simulation of a Synchronous Generator with Rotor Angle Stability and Solve Inter Area Mode of Oscillation in Power System using Power System Stabilizer(PSS)

2019 ◽  
Vol 18 (1) ◽  
pp. 35-43
Author(s):  
Md. Lutfur Rahman ◽  
Md. Abu Hena Shatil
Keyword(s):  
Power System ◽  
Synchronous Generator ◽  
Power System Stabilizer ◽  
Feedback Signal ◽  
Power System Stabilizers ◽  
Power Oscillations ◽  
Power Frequency ◽  
Angle Stability ◽  
Rotor Angle Stability ◽  
System Stabilizer

Power System stabilizers are a form of supplementary control that is used to provide additional damping to the inter area mode oscillations or to stabilize a generator whose voltage regulator gain is such that it may result in negatively damped machine-to-system oscillations under certain conditions. It has seen observed that the damping of these small power oscillations can be improved by leading back appropriate stabilizing signals to the input of the gain’s exciter. Some input signals that have been considered in the research are slip speed, accelerating power, frequency. In this manuscript, we will use an establish approach to obtain a preliminary design for a power system stabilizer with slip speed as the feedback signal.

Dynamic Stability Analysis of Generator with Power System Stabilizers Using Matlab Simulink

2016 ◽  
Vol 2 (3) ◽  
pp. 501
Author(s):  
Marizan Sulaiman ◽  
Hayfaa Mohammed Hussein ◽  
Rosli Omar ◽  
Zulhisyam Salleh
Keyword(s):  
Power System ◽  
System Modeling ◽  
Power System Stabilizer ◽  
System Response ◽  
Power System Stabilizers ◽  
Programming Tool ◽  
Proper Design ◽  
Main Components ◽  
System Stabilizer ◽  
Infinite Power

<p> The dynamics in single machine been connected to an infinite power system bus is analyzed in this paper. This analysis requires certain amount of system modeling level. The main components of the system models are excitation system, synchronous machine and the Power System Stabilizer. The Simulink /Matlab are used as the programming tool for analyzing this system performance. Design optimization arobust PSS based on Genetic Algorithm (GA) approach has been improvement. A proper design is required for this Power System Stabilizer (PSS) performance using the Particle Swarm Optimization (PSO) to archieve this. Then the implemented of the model and response of the dynamic system is been analyzed. The designed without PSS showed an unacceptable system response since as shown in the simulation results, system response with PSS proven to have improvements and PSS succeeding in  stabilizing an unstable system. Therefore this leads to stability of the performance of the generator.</p>

scholarly journals DESIGN OF ROBUST H∞ POWER SYSTEM STABILIZER USING NORMALIZED COPRIME FACTORIZATION

2017 ◽  
Vol 19 (2) ◽  
pp. 85-96 ◽  
Author(s):  
I. Ngamroo ◽  
S. Dechanupaprittha
Keyword(s):  
Power System ◽  
Weighting Function ◽  
Design Procedure ◽  
Selection Method ◽  
Power System Stabilizer ◽  
Power System Stabilizers ◽  
Simple Manner ◽  
Coprime Factorization ◽  
System Stabilizer ◽  
Normalized Coprime Factorization

This paper proposes a new design procedure of robust power system stabilizers (PSS) using H∞ control via normalized coprime factorization (NCF) approach. The design procedure of the proposed PSS is systematically described. Moreover, the selection method of the weighting function in H∞ control design is explained in a simple manner. The performance and robustness of the proposed PSS are investigated in comparison with the conventional PSS by examining the case of a single machine connected to an infinite bus (SMIB) system. The simulation results are illustrated to ensure the effectiveness of the proposed PSS. 

Optimization based power system stabilizer tuning

2021 ◽  
Vol 69 (5) ◽  
pp. 376-388
Author(s):  
Ara Panosyan
Keyword(s):  
Power System ◽  
Transient Stability ◽  
Optimization Techniques ◽  
Operating Conditions ◽  
Power System Stabilizer ◽  
Positive Contribution ◽  
Power System Stabilizers ◽  
Excitation System ◽  
Tuning Process ◽  
System Stabilizer

Abstract The most cost-effective method to improve the damping of low frequency electromechanical oscillations in interconnected power systems is the use of Power System Stabilizers (PSS), which act as supplementary controllers in the generator excitation system. In general, the performance of a power system stabilizer depends on the proper tuning of its parameters, to ensure a positive contribution to the small signal stability of the power system, without negatively impacting its transient stability. This paper will discuss the different roles of the excitation system automatic voltage regulator and the power system stabilizer in improving the transient stability and the oscillatory stability of the power system. The focus of the paper will be on the tuning methodology for power system stabilizers, which can ensure a robust performance of the PSS over a wide range of frequencies and operating conditions. In addition, mathematical optimization techniques will be introduced into the tuning process to improve the efficiency and accuracy of the tuning process.

Designing of power system stabilizer based on neural-like P systems

2019 ◽  
Vol 234 (2) ◽  
pp. 199-210 ◽  
Author(s):  
Meng Li ◽  
Yong Chen
Keyword(s):  
Power System ◽  
Damping Ratio ◽  
Low Frequency ◽  
P Systems ◽  
Power System Stabilizer ◽  
Low Frequency Oscillation ◽  
Power System Stabilizers ◽  
Operation Rules ◽  
Optimal Power ◽  
System Stabilizer

Power system stabilizers play an important role in reducing the low-frequency oscillation. In this article, the problem of robustly selecting the parameters of the power system stabilizers is studied. A new neural-like P systems optimization algorithm is proposed in order to optimize the power system stabilizer parameters. First, the structure of the neural-like P systems is established. Then, the operation rules, including forgetting rule, spiking rule, evolving rule, and transferring rule, are designed. Furthermore, a new objective function is constructed on the eigenvalues and damping ratio. Finally, the proposed algorithm is tested on the 16-machine and 68-bus system. The simulation results show the effectiveness and robustness of the proposed methods to select the optimal power system stabilizer parameters for damping out the low f oscillation.

scholarly journals Low Frequency Damping Control for Power Electronics-Based AC Grid Using Inverters with Built-In PSS

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2435
Author(s):  
Ming Yang ◽  
Wu Cao ◽  
Tingjun Lin ◽  
Jianfeng Zhao ◽  
Wei Li
Keyword(s):  
Power System ◽  
Reactive Power ◽  
Low Frequency ◽  
Synchronous Generator ◽  
Power System Stabilizer ◽  
Frequency Range ◽  
Signal Model ◽  
Small Signal Model ◽  
System Stabilizer ◽  
Damping Torque

Low frequency oscillations are the most easily occurring dynamic stability problem in the power system. With the increasing capacity of power electronic equipment, the coupling coordination of a synchronous generator and inverter in a low frequency range is worth to be studied further. This paper analyzes the mechanism of the interaction between a normal active/reactive power control grid-connected inverters and power regulation of a synchronous generator. Based on the mechanism, the power system stabilizer built in the inverter is used to increase damping in low frequency range. The small-signal model for electromagnetic torque interaction between the grid-connected inverters and the generator is analyzed first. The small-signal model is the basis for the inverters to provide damping with specific amplitude and phase. The additional damping torque control of the inverters is realized through a built-in power system stabilizer. The fundamentals and the structure of a built-in power system stabilizer are illustrated. The built-in power system stabilizer can be realized through the active or reactive power control loop. The parameter design method is also proposed. With the proposed model and suppression method, the inverters can provide a certain damping torque to improve system stability. Finally, detailed system damping simulation results of the universal step test verify that the analysis is valid and effective.

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