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 Improved DE Algorithm for Power System Stabilizer for Damping Low Frequency Osci llations

2019 ◽  
Vol 9 (2S2) ◽  
pp. 606-611
Keyword(s):  
Power System ◽  
Low Frequency ◽  
Operating Conditions ◽  
Power System Stabilizer ◽  
Small Signal ◽  
Small Signal Stability ◽  
Interconnected Power System ◽  
Signal Stability ◽  
De Algorithm ◽  
System Stabilizer

In the large interconnected power system, maintaining the Small signal stability of the system is of more concern, for the stable, secure and reliable operation. This paper proposes an Improved Differential Evolution (DE) Algorithm based Optimal Power system stabilizer (PSS) for damping the low frequency oscillations. Enhancing the damping of system is formulated as the optimization problem. DE/Best Mutation Operator is adopted for producing the mutation vector, to augment the convergence rate of DE algorithm. The effectiveness of the proposed approach has been tested in Single Machine Infinite Bus (SMIB) system under different operating conditions. The time response evaluations has justified the superiority of the proposed approach for damping the oscillations and thereby improving the Small signal stability of the system.

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.

Power System Stabilizer PSS4B Model for Iraqi National Grid using PSS/E Software

2018 ◽  
Vol 24 (5) ◽  
pp. 29 ◽  
Author(s):  
Hanan Mikhael Habbi ◽  
Ahmed Alhamadani
Keyword(s):  
Power System ◽  
Power Flow ◽  
Dynamic Performance ◽  
Electrical Power ◽  
Low Frequency ◽  
Power System Stabilizer ◽  
Local Mode ◽  
Electrical Power System ◽  
Low Frequency Oscillations ◽  
System Stabilizer

To damp the low-frequency oscillations which occurred due to the disturbances in the electrical power system, the generators are equipped with Power System Stabilizer (PSS) that provide supplementary feedback stabilizing signals. The low-frequency oscillations in power system are classified as local mode oscillations, intra-area mode oscillation, and interarea mode oscillations. Double input multiband Power system stabilizers (PSSs) were used to damp out low-frequency oscillations in power system. Among dual-input PSSs, PSS4B offers superior transient performance. Power system simulator for engineering (PSS/E) software was adopted to test and evaluate the dynamic performance of PSS4B model on Iraqi national grid. The results showed that after installing the PSS in a specific plant the oscillation of rotor angle, bus frequency, speed, power flow is better than without PSS during the disturbances that occurred during the simulations.  All the PSS/E simulation and tests were done in the National dispatch center (NDC) laboratory, Ministry of Electricity.    

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.

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