Optimal Excitation Control System of Synchronous Generator in Big Disturbance Based on Improved LOEC Mode

2013 ◽  
Vol 748 ◽  
pp. 793-796
Author(s):  
Zi Сheng Li ◽  
Bao Shan Yuan
Keyword(s):  
Control System ◽  
Dynamic Performance ◽  
Voltage Control ◽  
Synchronous Generator ◽  
Excitation Control ◽  
Exact Linearization ◽  
Multiple Control ◽  
Wide Range ◽  
Optimal Excitation ◽  
Terminal Voltage

Linear optimal excitation control (LOEC) mode takes the power system as multiple control target, it has better dynamic performance and adaptability in the vicinity of the equilibrium point. But when the disturbance is too large, the system performance will be deteriorated, meantime controlling lack the terminal voltage control. This paper presents the optimal excitation controller which has a wide excitation control system adapting to a wide range disturbance. The choice of variables is changed based on the variables used in the excitation control of exact linearization. The speed deviation differential is used to replace the electromagnetic power deviation in commonly optimal excitation control system, and the terminal voltage control is added. The improved excitation control system adaptability is enhanced. The simulation results show that the improved excitation controller has a wider adjustment range, anti-disturbance and strong characteristics.

Optimizing a Modular Half-Speed Synchronous Generator and Implementing Its Voltage Control System Based on a Neural Network

2021 ◽  
Vol 7 (7) ◽  
pp. 61-70
Author(s):  
Andrey A. TATEVOSYAN ◽  
Keyword(s):  
Neural Network ◽  
Control System ◽  
Permanent Magnets ◽  
Magnetic System ◽  
Voltage Control ◽  
Synchronous Generator ◽  
Voltage Regulation ◽  
Design Parameters ◽  
Design Scheme ◽  
The Neural Network

A method for optimizing the parameters of a modular half-speed synchronous generator with permanent magnets (PMSG) and the generator voltage control system with a neural network-based algorithm are proposed. The basic design scheme of the modular half-speed PMSG is considered, which features a compact layout of the generator main parts, thereby ensuring the optimal use of the working volume, smaller sizes of the magnetic system, and smaller mass of the active materials used in manufacturing the machine. Owing to the simple and reliable design of the generator, its output parameters can be varied in a wide range with using standard electrical circuits for voltage stabilization and current rectification along with an additional voltage regulation unit. Owing to this feature, the design scheme of the considered generator has essential advantages over the existing analogs with a common cylindrical magnetic core. In view of these circumstances, the development of a high-efficient modular half-speed PMSG as an autonomous DC power source is of both scientific and practical interest; this generator can be used to supply power to a large range of electricity consumers located in rural areas, low-rise residential areas, military communities, allotments etc. In solving the problem of optimizing the generator’s magnetic system, the main electrical machine analysis equation is obtained. The optimal ratios of the winding wire mass to the mass of permanent magnets and of the PM height to the air gap value for achieving the maximum specific useful power output have been determined. An analytical correlation between the optimal design parameters of a half-speed modular PMSG and its power performance parameters has been established. The expediency to develop a neural network-based control system is shown. The number of load-bearing modules of the half-speed PMSG is determined depending on the wind velocity, load factor and the required output voltage. The neural network was trained on the examples of a training sample using a laboratory test bench. The neural network was implemented in the MatLab 2019b environment by constructing a synchronous generator simulation model in the Simulink software extension. The possibility of using the voltage control system of a half-speed modular PMSG with a microcontroller for operation of the neural network platform of the Arduino family (ArduinoDue) independently of the PC is shown.

Gain-phase margins-based delay-dependent stability analysis of pitch control system of large wind turbines

2019 ◽  
Vol 41 (13) ◽  
pp. 3626-3636 ◽  
Author(s):  
Omer Turksoy ◽  
Saffet Ayasun ◽  
Yakup Hames ◽  
Sahin Sonmez
Keyword(s):  
Control System ◽  
Stability Analysis ◽  
Wind Turbines ◽  
Time Domain ◽  
Dynamic Performance ◽  
Pitch Control ◽  
Wide Range ◽  
Delay Dependent ◽  
Delay Dependent Stability ◽  
Large Wind

This paper investigates the effect of gain and phase margins (GPMs) on the delay-dependent stability analysis of the pitch control system (PCS) of large wind turbines (LWTs) with time delays. A frequency-domain based exact method that takes into account both GPMs is utilized to determine stability delay margins in terms of system and controller parameters. A gain-phase margin tester (GPMT) is introduced to the PCS to take into GPMs in delay margin computation. For a wide range of proportional–integral controller gains, time delay values at which the PCS is both stable and have desired stability margin measured by GPMs are computed. The accuracy of stability delay margins is verified by an independent algorithm, Quasi-Polynomial Mapping Based Rootfinder (QPmR) and time-domain simulations. The time-domain simulation studies also indicate that delay margins must be determined considering GPMs to have a better dynamic performance in term of fast damping of oscillations, less overshoot and settling time.

The Control and Model of Synchronous Generator on Ship

2012 ◽  
Vol 195-196 ◽  
pp. 1095-1101
Author(s):  
Le Luo ◽  
Lan Gao ◽  
Liang Chen ◽  
Liang Hu
Keyword(s):  
Mathematical Model ◽  
Control System ◽  
Simulation Model ◽  
Synchronous Generator ◽  
Excitation Control ◽  
Synchronous Generators ◽  
Simulation Test ◽  
Power Station ◽  
Model And Simulation ◽  
The Mathematical Model

This paper analyzes the characteristics of marine power station. The mathematical model and simulation model of synchronous generators AVR+PSS excitation control system was built. At last the simulation test of suddenly add load was did in MATLAB/simulink environment. The result shows that the excitation control system has well stability, rapidity and some robustness.

A MPPT Strategy for Wind Power PMSG System with Full Power Converter

2013 ◽  
Vol 860-863 ◽  
pp. 424-427
Author(s):  
Ke Qing Qu ◽  
Chong Yang ◽  
Jin Bin Zhao
Keyword(s):  
Wind Power ◽  
Dynamic Performance ◽  
Synchronous Generator ◽  
Power Converter ◽  
Hill Climbing ◽  
Direct Drive ◽  
Wind Maximum ◽  
Point Tracking ◽  
Wide Range ◽  
Full Power

The direct-drive permanent-magnet synchronous generator (PMSG) system with full power converter can achieve wind maximum power point tracking (MPPT) in wide range variation of wind-speed. In this paper an operating characteristic of PMSG is investigated, a MPPT strategy based on hill climbing method for PMSG are present. Simulation and experimental results show that the controllers can extract maximum wind power in good dynamic performance.

scholarly journals Regulation of mains voltage and reactive power with the help of a synchronous compensator by two-axis excitation

2021 ◽  
Vol 264 ◽  
pp. 04028
Author(s):  
Nurali Pirmatov ◽  
Allabergen Bekishev ◽  
Safar Shernazarov ◽  
Najmiddin Kurbanov ◽  
Usmon Norkulov
Keyword(s):  
Control System ◽  
Fixed Points ◽  
Reactive Power ◽  
Synchronous Generator ◽  
Excitation Control ◽  
Voltage Level

The article describes the design of a synchronous compensator with biaxial excitation and its automatic excitation control system. In addition, the issues of ensuring the required voltage level at fixed points using synchronous compensators with biaxial excitation were considered. In addition, the U-shaped characteristic of a synchronous generator with biaxial excitation was obtained.

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