Study on Improving Power System Damping Characteristic in Novel Excitation System

2011 ◽  
Vol 383-390 ◽  
pp. 2447-2452
Author(s):  
Pei Hong Yang ◽  
Gui Mei Cui ◽  
Wen Ying Liu
Keyword(s):  
Power System ◽  
Control Method ◽  
Damping Ratio ◽  
Dynamic Performance ◽  
Decoupling Control ◽  
Excitation Voltage ◽  
Excitation System ◽  
Reactive Current ◽  
Simulation Results ◽  
A Current

A novel excitation system based on full controlled devices rectifier is proposed in this article, and the excitation system can provide double kinds of damping for power system by controlling the excitation voltage of DC side and exchanging reactive with generator. Through the Mat lab / Simu link simulation platform, a circuit model is established. This paper presents a current feed forward decoupling control method and the active and reactive current can be controlled independently by the method. The simulation results of two-area including four generators system shows the system damping ratio is improved significantly, and has better dynamic performance than conventional excitation system .

scholarly journals Improving Power System Stability Using Transfer Function: A Comparative Analysis

2017 ◽  
Vol 7 (5) ◽  
pp. 1946-1952
Author(s):  
G. Shahgholian ◽  
A. Fattollahi
Keyword(s):  
Transfer Function ◽  
Power System ◽  
Closed Loop ◽  
Damping Ratio ◽  
Dynamic Performance ◽  
System Stability ◽  
Closed Loop System ◽  
Simulation Results ◽  
Single Machine Infinite Bus ◽  
Signal Dynamic

In this paper, a small-signal dynamic model of a single-machine infinite-bus (SMIB) power system that includes IEEE type-ST1 excitation system and PSS based on transfer function structure is presented. The changes in the operating condition of a power system on dynamic performance have been examined. The dynamic performance of the closed-loop system is analyzed base on its eigenvalues. The effectiveness of the parameters changes on dynamic stability is verified by simulation results. Three types of PSS have been considered for analysis: (a) the derivative PSS, (b) the lead-lag PSS or conventional PSS, and (c) the proportional-integral-derivative PSS. The objective function is formulated to increase the damping ratio of the electromechanical mode eigenvalues. Simulation results show that the PID-PSS performs better for less overshoot and less settling time compared with the CPSS and DPSS under different load operation and the significant system parameter variation conditions.

scholarly journals Design of Observer-Based Robust Power System Stabilizers

2016 ◽  
Vol 6 (5) ◽  
pp. 1956
Author(s):  
Hisham M. Soliman ◽  
Mahmoud Soliman
Keyword(s):  
Power System ◽  
Linear Matrix Inequality ◽  
Damping Ratio ◽  
Dynamic Performance ◽  
Iterative Solution ◽  
Linear Matrix ◽  
Diagonal Form ◽  
Matrix Inequality ◽  
Great Loss ◽  
Wide Range

<p>Power systems are subject to undesirable small oscillations that might grow to cause system shutdown and consequently great loss of national economy. The present manuscript  proposes two  designs for observer-based robust power system stabilizer (PSS) using Linear Matrix Inequality (LMI) approach to damp such oscillations. A model to describe power system dynamics for different loads is derived in the norm-bounded form. The first controller design is based on the derived model to achieve  robust stability against load variation. The design is based on a new Bilinear matrix inequality (BMI) condition. The BMI optimization  is solved interatively in terms of Linear Matrix Inequality (LMI) framework. The condition contains a symmetric positive definite full matrix to be obtained, rather than the commonly used block diagonal form. The difficulty in finding a feasible solution is thus alleviated. The resulting LMI is of small size, easy to solve. The second PSS design shifts the closed loop poles in a desired region so as to achieve a favorite  settling time and damping ratio via a non-iterative solution to a set of LMIs.  The approach provides a systematic way to design a robust output feedback PSS which  guarantees good dynamic performance for different loads. <span style="font-size: 10px;">Simulation results based on single-machine and multi-machine power system models verify the ability of the proposed PSS to satisfy control objectives for a wide range of load conditions.</span></p>

scholarly journals Power System Stabilization By Fuzzy Set Theory Based Control Of SMES

1970 ◽  
Vol 6 (2) ◽  
pp. 33-41 ◽  
Author(s):  
Md Rafiqul Islam Sheikh ◽  
Rion Takahashi ◽  
Junji Tamura
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Control ◽  
Power System ◽  
Fuzzy Logic Control ◽  
Fuzzy Logic Controller ◽  
Control Method ◽  
Magnetic Energy ◽  
Dynamic Performance ◽  
Superior Performance ◽  
Logic Control

At present fuzzy logic control is receiving increasing emphasis in process control applications. The paper describes the application of fuzzy logic control in a power system that uses a 12- pulse bridge converter associated with Superconductive Magnetic Energy Storage (SMES) unit. The fuzzy control is used in both the frequency and voltage control loops, replacing the conventional control method. The control algorithms have been developed in detail and simulation results are presented. These results clearly indicate the superior performance of fuzzy control during the dynamic period of energy transfer between the power system and SMES unit. Keywords: Fuzzy logic controller; power system dynamic performance; SMES unit. DOI: http://dx.doi.org/10.3329/diujst.v6i2.9343 DIUJST 2011; 6(2): 33-41

Design of Observer-Based Robust Power System Stabilizers

2016 ◽  
Vol 6 (5) ◽  
pp. 1956
Author(s):  
Hisham M. Soliman ◽  
Mahmoud Soliman
Keyword(s):  
Power System ◽  
Linear Matrix Inequality ◽  
Damping Ratio ◽  
Dynamic Performance ◽  
Iterative Solution ◽  
Linear Matrix ◽  
Diagonal Form ◽  
Matrix Inequality ◽  
Great Loss ◽  
Wide Range

<p>Power systems are subject to undesirable small oscillations that might grow to cause system shutdown and consequently great loss of national economy. The present manuscript  proposes two  designs for observer-based robust power system stabilizer (PSS) using Linear Matrix Inequality (LMI) approach to damp such oscillations. A model to describe power system dynamics for different loads is derived in the norm-bounded form. The first controller design is based on the derived model to achieve  robust stability against load variation. The design is based on a new Bilinear matrix inequality (BMI) condition. The BMI optimization  is solved interatively in terms of Linear Matrix Inequality (LMI) framework. The condition contains a symmetric positive definite full matrix to be obtained, rather than the commonly used block diagonal form. The difficulty in finding a feasible solution is thus alleviated. The resulting LMI is of small size, easy to solve. The second PSS design shifts the closed loop poles in a desired region so as to achieve a favorite  settling time and damping ratio via a non-iterative solution to a set of LMIs.  The approach provides a systematic way to design a robust output feedback PSS which  guarantees good dynamic performance for different loads. <span style="font-size: 10px;">Simulation results based on single-machine and multi-machine power system models verify the ability of the proposed PSS to satisfy control objectives for a wide range of load conditions.</span></p>

The Application and Research of the Fuzzy Control in the Servo System for Milling Machines

2011 ◽  
Vol 211-212 ◽  
pp. 11-15
Author(s):  
Xiao Dong Tan ◽  
Xin Liu ◽  
Chen Bao Liu ◽  
Ke De Zheng
Keyword(s):  
Real Time ◽  
Control Method ◽  
System Modeling ◽  
Dynamic Performance ◽  
Servo Control ◽  
Control Performance ◽  
Control Precision ◽  
Servo Control System ◽  
Milling Machines ◽  
Simulation Results

Using the Fuzzy PID’s control method into the servo control system and the PID parameters can be adjusted real-time according to the simulation results, which corrects the system. Increasing the adaptabilities for the parameters’ real-time changings to improve the controlled object’s steady and dynamic performance, the system’s control precision and the capability of anti-jamming. With the help of MATLAB's FUZZY toolbox, the system’s control performance is tested in the aspects of system modeling and simulation.

A Study on Nonlinear Decoupling Controller for UPFC

2014 ◽  
Vol 624 ◽  
pp. 460-464
Author(s):  
Zhi Bin Chen ◽  
Yan Ma ◽  
Bo Wen Su
Keyword(s):  
Mathematical Model ◽  
Nonlinear System ◽  
Control Strategy ◽  
Reactive Power ◽  
Dynamic Performance ◽  
Decoupling Control ◽  
Real Power ◽  
Power Decoupling ◽  
Simulation Results ◽  
System Characteristics

In the d-q coordinate system, UPFC mathematical model reveals a nonlinear system with features of a multi-variable, strong coupling, and more interference. In view of these system characteristics, the paper presents a nonlinear overlapping decoupled strategy with better stability and dynamic performance for UPFC control. The control strategy is analyzed and tested with the MATLAB simulative experiments. Simulation results show that the proposed control strategy can quickly and accurately respond to the needs of the power system, and realize real power and reactive power decoupling control effectively. Keywords: Dynamic Modeling, Nonlinear, Decoupling Controller, UPFC, MATLAB

Research on Fuzzy Control Method of Hybrid Maglev System

2014 ◽  
Vol 511-512 ◽  
pp. 1039-1043
Author(s):  
Qing Zhen Wang ◽  
A Ming Hao ◽  
Zhi Qiang Wang
Keyword(s):  
Fuzzy Control ◽  
Control Method ◽  
Magnetic Levitation ◽  
System Simulation ◽  
Dynamic Performance ◽  
Maglev System ◽  
Levitation System ◽  
Magnetic Levitation System ◽  
Simulation Results ◽  
Steady State Performance

Combining with the principle of permanent magnetic and electromagnetic suspension, we can establish its mathematical model. Maglev system is a typical nonlinear system. Simulation model is built based on fuzzy control in matlab by combining the advantages of fuzzy control. By comparing the simulation results with PID, the simulation results show that fuzzy control can make the magnetic levitation system has better dynamic performance and steady-state performance.

Decoupling Control for Bearingless Synchronous Reluctance Motor Based on Fuzzy Inverse Model

2014 ◽  
Vol 529 ◽  
pp. 524-528
Author(s):  
Zhang Li ◽  
Huang Qiu Zhu ◽  
Run Zhang Zeng
Keyword(s):  
Motor Control ◽  
Control System ◽  
Control Method ◽  
Dynamic Performance ◽  
Inverse Model ◽  
Decoupling Control ◽  
Dynamic Decoupling ◽  
Synchronous Reluctance Motor ◽  
Reluctance Motor ◽  
Motor Control System

For the bearingless synchronous reluctance motor (BSRM) is a multivariable, strong coupling, multi-input and multi-output system, based on the adaptive inverse control theory, a decoupling control method based on the T-S fuzzy inverse model identification is put forward in this paper. According to the input and output information of the system, a fuzzy inverse model of the motor control system is established, then making the inverse model and the original control system in series forms pseudo linear hybrid system to realize the approximate linearization and dynamic decoupling of the motor control system. Building the composite system and proceeding research in the Matlab/Simulink environment, the simulation results show that the control strategy can realize dynamic decoupling among the electromagnetic torque subsystem and the radial suspension force subsystem and among thex- andy-direction of the suspension force, and with excellent static and dynamic performance and adaptive ability.

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