scholarly journals Model of Power System Stabilizer Adapting to Multi-Operating Conditions of Local Power Grid and Parameter Tuning

2018 ◽  
Vol 10 (6) ◽  
pp. 2089 ◽  
Author(s):  
Wenping Hu ◽  
Jifeng Liang ◽  
Yitao Jin ◽  
Fuzhang Wu
Keyword(s):  
Power System ◽  
Power Grid ◽  
Parameter Tuning ◽  
Operating Conditions ◽  
Power System Stabilizer ◽  
Local Power ◽  
System Stabilizer

A Simple Design Approach for Excitation Controller and Power System Stabilizer

2010 ◽  
Author(s):  
G. Fusco ◽  
M. Russo
Keyword(s):  
Power System ◽  
Transient Stability ◽  
Short Circuit ◽  
Design Procedure ◽  
Voltage Regulation ◽  
Operating Conditions ◽  
Power System Stabilizer ◽  
Simple Design ◽  
Wide Range ◽  
System Stabilizer

This paper proposes a simple design procedure to solve the problem of controlling generator transient stability following large disturbances in power systems. A state-feedback excitation controller and power system stabilizer are designed to guarantee robustness against uncertainty in the system parameters. These controllers ensure satisfactory swing damping and quick decay of the voltage regulation error over a wide range of operating conditions. The controller performance is evaluated in a case study in which a three-phase short-circuit fault near the generator terminals in a four-bus power system is simulated.

Optimal Design of Modified Power System Stabilizer Using Multi Objective Based Bio Inspired Algorithms

2018 ◽  
Vol 7 (4) ◽  
pp. 17-55 ◽  
Author(s):  
Dasu Butti ◽  
Siva Kumar Mangipudi ◽  
Srinivasarao Rayapudi
Keyword(s):  
Power System ◽  
Dynamic Performance ◽  
Operating Conditions ◽  
Power System Stabilizer ◽  
Value Analysis ◽  
Multi Objective ◽  
De Algorithm ◽  
System Data ◽  
Bus Voltage ◽  
System Stabilizer

In this article, a multi objective and a novel objective based Power System Stabilizer (PSS) design is proposed for a modified Heffron - Philiphs model (MHP) using bio inspired algorithms. A conventional Heffron – Philphs (CHP) model is developed by taking infinite bus voltage as reference, whereas MHP model is developed by taking transformer high voltage bus voltage as reference, which makes independent of external system data for the PSS design. PSS parameters are optimized using differential evolution (DE) algorithm and Firefly (FF) algorithm to obtain better dynamic response. The proposed method is tested on various operating conditions under different typical disturbances to test efficacy and robustness. Simulation results prove that better dynamic performance is obtained with the proposed stabilizers over the fixed gain stabilizers. This method of tuning would become a better alternative to conventional stabilizers as conventional stabilizers require retuning of parameters mostly when operating condition changes, which is a time-consuming process and laborious. Eigen value analysis is also done to prove the efficacy of the proposed method over the conventional methods.

scholarly journals ROBUST TUNING OF POWER SYSTEM STABILIZER PARAMETERS USING THE MODIFIED HARMONIC SEARCH ALGORITHM

2021 ◽  
Vol 22 (1) ◽  
pp. 47-57
Author(s):  
Hiba Zuhair Abdul Kareem ◽  
Husam Hasan Mohammed ◽  
Ameer Aqeel Mohammed
Keyword(s):  
Power System ◽  
Search Algorithm ◽  
Damping Ratio ◽  
Harmony Search ◽  
Parameter Tuning ◽  
Harmony Search Algorithm ◽  
Power System Stabilizer ◽  
Detailed Model ◽  
Number Of Generators ◽  
System Stabilizer

Power System Stabilizer is used to improve power system low frequency oscillations during small disturbances. In large scale power systems involving a large number of generators, PSSs parameter tuning is very difficult because of the oscillatory modes’ low damping ratios. So, the PSS tuning procedure is a complicated process to respond to operation condition changes in the power system. Some studies have been implemented on PSS tuning procedures, but the Harmony Search algorithm is a new approach in the PSS tuning procedure. In power system dynamic studies at the first step system total statues is considered and then the existed conditions are extended to the all generators and equipment. Generators’ PSS parameter tuning is usually implemented based on a dominant operation point in which the damping ratio of the oscillation modes is maximized. In fact the PSSs are installed in the system to improve the small signal stability in the system. So, a detailed model of the system and its contents are required to understand the dynamic behaviours of the system. In this study, the first step was to linearize differential equations of the system around the operation point. Then, an approach based on the modified Harmony Search algorithm was proposed to tune the PSS parameters. ABSTRAK: Penstabil Sistem Kuasa digunakan bagi meningkatkan sistem kuasa ayunan frekuensi rendah semasa gangguan kecil. Dalam sistem kuasa berskala besar yang melibatkan sebilangan besar penjana, penalaan parameter PSS adalah sangat sukar kerana nisbah corak ayunan redaman yang rendah. Maka, langkah penalaan PSS adalah satu aliran rumit bagi mengubah keadaan operasi sistem kuasa. Beberapa kajian telah dilaksanakan pada prosedur penalaan PSS, tetapi algoritma Harmony Search merupakan pendekatan baru dalam prosedur penalaan PSS. Dalam kajian sistem kuasa dinamik ini, langkah pertama adalah dengan memastikan status total sistem dan keadaan sedia ada diperluaskan kepada semua penjana dan peralatan. Parameter penalaan generator PSS biasa dilaksanakan berdasarkan titik operasi yang dominan di mana nisbah corak ayunan redaman dimaksimumkan. Malah PSS dipasang di dalam sistem bagi meningkatkan kestabilan isyarat kecil dalam sistem. Oleh itu, model terperinci sistem dan kandungannya diperlukan bagi mengenal pasti perihal sistem dinamik. Kajian ini, dimulai dengan melinear sistem persamaan pembezaan pada titik operasi. Kemudian, pendekatan berdasarkan algoritma Harmony Search yang diubah suai telah dicadangkan bagi penalaan parameter PSS.

Simulation And Analysis of An Intelligent Power System Stabilizer Using Fuzzy Logic

2020 ◽  
Vol 27 (4) ◽  
pp. 70-86
Author(s):  
firas AlDurze ◽  
sura Abdullah
Keyword(s):  
Fuzzy Logic ◽  
Power System ◽  
Synchronous Machine ◽  
Operating Conditions ◽  
Superior Performance ◽  
Power System Stabilizer ◽  
Operation Conditions ◽  
Wide Range ◽  
Simulation Results ◽  
System Stabilizer

The basic aim of the power system stabilizer is to damp the fluctuations that occur on the rotating axis of the synchronous generator that result from noise or disturbance on the power system. This is achieved by producing an appropriate damping torque for these fluctuations across the excitation circuit of the generator and for a wide range of operation conditions. The study describes the types of power system stabilizers and giving an mathematical model of the power system that consists of a synchronous machine connected to the infinite bus though transmission lines. This has been achieved by simulating the electric and mechanical equations of power systems and proposing a methodological approach to design a Fuzzy Logic Power System Stabilize (FPSS) relaying in the design on the (Matlab/Fuzzy logic toolbox).Speed deviation (Δω) and acceleration (∆ώ) of the synchronous machine are chosen as the input signals to the fuzzy controller in order to achieve a good dynamic performance .The complete range for the variation of each of the two controller inputs is represented by a 7×7 decision table, i.e. 49 rules using proportional derivative like fuzzy logic. The power system (SMIB) was tested with the presence and absence of the excitation system, then (CPSS) was added, and then (FPSS).The simulation results of the proposed fuzzy logic on )SMIB( gave a better dynamic response, decreased the settling time and good performance of the stabilizer in damping the fluctuations that arise in the speed of rotation of the generator and its active power in various operating conditions when proposed (FPSS) is compared with conventional PSS. The simulation results proved the superior performance of the proposed (FPSS).

Robust design of power system stabilizer using bacterial foraging algorithm

2013 ◽  
Vol 62 (1) ◽  
pp. 141-152 ◽  
Author(s):  
K. Abdul Hameed ◽  
S. Palani
Keyword(s):  
Power System ◽  
Low Frequency ◽  
Operating Conditions ◽  
Power System Stabilizer ◽  
Bacterial Foraging ◽  
Wide Range ◽  
Bacterial Foraging Algorithm ◽  
Simulation Results ◽  
The Time Domain ◽  
System Stabilizer

Abstract In this paper, a novel bacterial foraging algorithm (BFA) based approach for robust and optimal design of PID controller connected to power system stabilizer (PSS) is proposed for damping low frequency power oscillations of a single machine infinite bus bar (SMIB) power system. This paper attempts to optimize three parameters (Kp, Ki, Kd) of PID-PSS based on foraging behaviour of Escherichia coli bacteria in human intestine. The problem of robustly selecting the parameters of the power system stabilizer is converted to an optimization problem which is solved by a bacterial foraging algorithm with a carefully selected objective function. The eigenvalue analysis and the simulation results obtained for internal and external disturbances for a wide range of operating conditions show the effectiveness and robustness of the proposed BFAPSS. Further, the time domain simulation results when compared with those obtained using conventional PSS and Genetic Algorithm (GA) based PSS show the superiority of the proposed design.

scholarly journals Robust Coordinated Design of Power System Stabilizer and Excitation System Using Genetic Algorithm to Enhance the Dynamic Stability of Al-Zara Thermal Power Station Generation in Syria

2012 ◽  
Vol 23 (1) ◽  
pp. 59-81
Author(s):  
Riad Al-Mustfa Riad Al-Mustfa
Keyword(s):  
Genetic Algorithm ◽  
Power System ◽  
Thermal Power Station ◽  
Thermal Power ◽  
Operating Conditions ◽  
Power System Stabilizer ◽  
Power Station ◽  
Excitation System ◽  
Large Perturbation ◽  
System Stabilizer

In this paper, a new formula of Power System Stabilizer (PSS) was adopted. The design of PSS and Excitation system (an Exciter) parameters is formulated as an optimization problem. A continuous genetic algorithm (GA) is employed for searching optimized parameters. A multi-objective function includes the deviation in the oscillatory rotor speed of the generator is minimized in time-domain to improve the stability performance of the system. The design is performed using linearized models of a real thermal power system, Al-Zara Thermal Power Station in Syria, at four operating conditions and large perturbation. A cubic Hermite interpolation technique is employed to determine the smoothest possible curve that passes through its data set obtained by the GA. The effectiveness and robustness of the designed stabilizer is investigated and compared with conventional PSS. The simulation results show that the GA stabilizer (GAPSS + GAExciter) are able to provide better damping over a wide operating range with large perturbation and improve the overall systems’ performance.

Gaussian quantum particle swarm optimization-based wide-area power system stabilizer for damping inter-area oscillations

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sreedivya Kondattu Mony ◽  
Aruna Jeyanthy Peter ◽  
Devaraj Durairaj
Keyword(s):  
Particle Swarm Optimization ◽  
Power System ◽  
Particle Swarm ◽  
Operating Conditions ◽  
Wide Area ◽  
Power System Stabilizer ◽  
Swarm Optimization ◽  
Content Type ◽  
Index Analysis ◽  
System Stabilizer

Purpose The extensive increase in power demand has challenged the ability of power systems to deal with small-signal oscillations such as inter-area oscillations, which occur under unseen operating conditions. A wide-area measurement system with a phasor measurement unit (PMU) in the power network enhances the observability of the power grid under a wide range of operating conditions. This paper aims to propose a wide-area power system stabilizer (WAPSS) based on Gaussian quantum particle swarm optimization (GQPSO) using the wide-area signals from a PMU to handle the inter-area oscillations in the system with a higher degree of controllability. Design/methodology/approach In the design of the wide-area stabilizer, a dead band is introduced to mitigate the influence of ambient signal frequency fluctuations. The location and the input signal of the wide-area stabilizer are selected using the participation factor and controllability index calculations. An improved particle swarm optimization (PSO) technique, namely, GQPSO, is used to optimize the variables of the WAPSS to move the unstable inter-area modes to a stable region in the s-plane, thereby improving the overall system stability. Findings The proposed GQPSO-based WAPSS is compared with the PSO-based WAPSS, genetic algorithm-based WAPSS and power system stabilizer. Eigenvalue analysis, time-domain simulation responses and performance index analysis are used to assess performance. The various evaluation techniques show that GQPSO WAPSS has a consistently good performance, with a higher damping ratio, faster convergence with fewer oscillations and a minimum error in the performance index analysis, indicating a more stable system with effective oscillation damping. Originality/value This paper proposes an optimally tuned design for the WAPSS with a wide-area input along with a dead-band structure for damping the inter-area oscillations. Tie line power is used as the input to the WAPSS and optimal tuning of the WAPSS is performed using an improved PSO algorithm, known as Gaussian quantum PSO.

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.

Sign in / Sign up

Export Citation Format

Share Document