scholarly journals Parameter Selection Method for Power System Stabilizer of a Power Plant based on Hybrid System Modeling

2014 ◽  
Vol 63 (7) ◽  
pp. 883-888
Author(s):  
Seung-Mook Baek
Keyword(s):  
Power Plant ◽  
Power System ◽  
Hybrid System ◽  
System Modeling ◽  
Selection Method ◽  
Parameter Selection ◽  
Power System Stabilizer ◽  
System Stabilizer

scholarly journals Bat Intelligence For Tunning Power System Stabilizer At Barru Power Plant

2018 ◽  
Vol 2 (1) ◽  
pp. 16-20
Author(s):  
Muhammad Ruswandi Djalal ◽  
Andareas Pangkung ◽  
Sonong Sonong ◽  
Apollo Apollo
Keyword(s):  
Power Plant ◽  
Power System ◽  
Dynamic Stability ◽  
Bat Algorithm ◽  
System Dynamic ◽  
Power System Stabilizer ◽  
Rotor Angle ◽  
System Stabilizer ◽  
Smart Computing

Changes in load on the power system suddenly, can cause dynamic disruption. This disturbance can not be responded well by the generator, so it can affect the system dynamic stability, such as the occurrence of oscillation speed and rotor angle. Conventional control of excitation and governor, also unable to repair the oscillations, so that additional controllers such as Power System Stabilizer (PSS) are required. In the use of PSS, there are several problems that often arise, namely the correct tuning of PSS parameters. In this research, we proposed a method of smart computing based on bat algorithm, for tuning PSS parameters. From the analysis results can be concluded, the performance performance of generator barru increased with the installation of Power System Stabilizer with optimal PSS parameter, with parameters respectively Kpss = 44.0828, T1 = 0.0284, T2 = 0.0146, T3 = 0.7818, T4 = 1.2816.

scholarly journals Stability Enhancement by Comparative Analysis of AI Techniques in Power System Stablizer Integrated With Hybrid System

2019 ◽  
Vol 5 (6) ◽  
pp. 4
Author(s):  
Harsh Vardhan Singh ◽  
Dr. Ranjeeta Khare
Keyword(s):  
Power System ◽  
Hybrid System ◽  
Active Power ◽  
Power System Stabilizer ◽  
Swarm Optimization ◽  
Distortion Level ◽  
Voltage Output ◽  
Power Enhancement ◽  
System Stabilizer ◽  
Stability Enhancement

Hybrid system has been modeled in MATLAB/SIMULINK environment which is then integrated with two generators based power system. The work has done over analysis of THD level in voltage output from the hybrid system with various controls being proposed for the power system stabilizer. Various controls like PI-Hysteresis, particle swarm optimization (PSO) and PSO with neural network (NN) have been implemented for comparative study. It was found that the distortion level in voltage output waveform was least in stabilizer having PSO-NN control which is 3.36%. Also the active power enhancement reached a whooping value of 9.4 KW from the hybrid system.

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. 

scholarly journals Performance Assessment of Fuzzy Logic Power System Stabilizer on North Benghazi Power Plant

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
T. Hussein ◽  
A. Shamekh
Keyword(s):  
Fuzzy Logic ◽  
Power Plant ◽  
Power System ◽  
Optimization Technique ◽  
Operating Conditions ◽  
Power System Stabilizer ◽  
Particle Swarm Optimization Technique ◽  
System Output ◽  
System Stabilizer ◽  
One Machine

Fuzzy logic design has been implemented online to tune the power system stabilizer gain (KPSS). To assess the performance of the proposed technique, Benghazi North Power Plant (BNPP), at eastern Libyan network, has been utilized as a power system stabilizer (PSS) benchmark. The design considers different operating conditions and large disturbance. A selection of fuzzy rules is derived by means of system output power to tune KPSS, whereas Particle Swarm Optimization technique (PSO) is exploited to calculate the PSS parameters offline according to real-time measurements of the considered plant. Several simulation scenarios have been conducted to show the effectiveness of the proposed PSS in damping of local and interarea modes of oscillation of one-machine infinite-bus system. The study also contains comparison between the proposed technique and conventional PSS (CPSS).

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