A new approach for synchronous generator terminal voltage control – Comparison with a standard industrial controller

2011 ◽  
Vol 81 (7) ◽  
pp. 1592-1601 ◽  
Author(s):  
Abdallah Barakat ◽  
Slim Tnani ◽  
Gérard Champenois ◽  
Emile Mouni
Keyword(s):  
Voltage Control ◽  
Synchronous Generator ◽  
New Approach ◽  
Control Comparison ◽  
Terminal Voltage ◽  
Generator Terminal ◽  
Industrial Controller

scholarly journals Synchronous Generator Excitation Control Based on Model Predictive Control

2021 ◽  
Author(s):  
Qingxiang Jin
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Classical Model ◽  
Synchronous Generator ◽  
Control Procedure ◽  
Excitation Control ◽  
Computationally Efficient ◽  
Terminal Voltage ◽  
Synchronous Generator Excitation ◽  
Generator Terminal

This thesis research has designed and developed an optimal predictive excitation control, named the Model Predictive Excitation Control (MPEC), for utility generators. Four significant results are achieved: First, the MPEC has been designed and has significantly improved the classical model predictive control and is much simpler and computationally efficient. Second, the MPEC simulation program and results have been accomplished, and study cases have demonstrated the effectiveness of the MPEC. Third, the Modified classical model predictive control procedure has been formulated to correct a timing error such that the controlling input for the present time is re-written as that for the next step. Fourth, the MPEC optimization formulation and procedure has been developed for the generator control with only two substation-ready-available measurements which are the generator terminal voltage and speed.

scholarly journals Synchronous Generator Excitation Control Based on Model Predictive Control

2021 ◽  
Author(s):  
Qingxiang Jin
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Classical Model ◽  
Synchronous Generator ◽  
Control Procedure ◽  
Excitation Control ◽  
Computationally Efficient ◽  
Terminal Voltage ◽  
Synchronous Generator Excitation ◽  
Generator Terminal

This thesis research has designed and developed an optimal predictive excitation control, named the Model Predictive Excitation Control (MPEC), for utility generators. Four significant results are achieved: First, the MPEC has been designed and has significantly improved the classical model predictive control and is much simpler and computationally efficient. Second, the MPEC simulation program and results have been accomplished, and study cases have demonstrated the effectiveness of the MPEC. Third, the Modified classical model predictive control procedure has been formulated to correct a timing error such that the controlling input for the present time is re-written as that for the next step. Fourth, the MPEC optimization formulation and procedure has been developed for the generator control with only two substation-ready-available measurements which are the generator terminal voltage and speed.

Research on Small Synchronous Generator Excited System Based on Fuzzy Control

2011 ◽  
Vol 120 ◽  
pp. 524-527
Author(s):  
Guang Zheng Wang ◽  
Wen Xing Wang
Keyword(s):  
Fuzzy Control ◽  
Synchronous Generator ◽  
Control Device ◽  
Test Method ◽  
Voltage Change ◽  
Phase Compound ◽  
Magnetic Amplifier ◽  
Terminal Voltage ◽  
Synchronous Generator Excitation ◽  
Generator Terminal

This article describes the small synchronous generator excitation control device characteristics and working principle is proposed based on fuzzy control of excitation regulator device on-site test method. Phase compound excitations with voltage corrector by the way of magnetic amplifier were used in excitation devices. The generator terminal voltage, load current and power factor and other parameters were adjusted by fuzzy control through automatic control phase compound excitation transformer. For separate generator, the major factor of terminal voltage change was caused by the change of reactive current, in order to keep constant voltage generator excitation current mast be adjusted. At the end of the paper the problems and countermeasures in the course of debugging process were analyzed.

scholarly journals Development of Intelligent AVR for Synchronous Generator

2019 ◽  
Vol 8 (4) ◽  
pp. 3028-3032
Keyword(s):  
Control System ◽  
Major Part ◽  
Synchronous Generator ◽  
Voltage Regulator ◽  
Excitation Mechanism ◽  
State Matrix ◽  
Standard Operating ◽  
System Equations ◽  
Terminal Voltage ◽  
Generator Terminal

The major part of an automatic voltage regulator (AVR) is to normalise the terminal voltage of synchronous generator. The structure modelled contains of the amplifier and generator. The AVR organisms are recycled usually in exciter control system. The part of an AVR is to grip the generator terminal voltage constant below standard operating surroundings at different load levels. The AVR loop of excitation mechanism preparation works terminal voltage error for adjusting the field voltage so as to mechanism the terminal voltage. The basic mechanisms of an exciter control system arrangement comprises of four leading components, namely amplifier, sensor, exciter and generator. The generator and amortisseurs systems state matrix are included, the system equations developed in that model includes one d-axis amortisseurs and two q-axis amortisseurs. This exertion targets to improve a simulation on steady state analysis of a power system with a controller established on fuzzy logic to maintain the terminal voltage.

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.

Dual control of synchronous generator for terminal voltage regulation-comparison with a single control

2012 ◽  
Vol 91 ◽  
pp. 78-86 ◽  
Author(s):  
Fayçal Bensmaine ◽  
Abdallah Barakat ◽  
Slim Tnani ◽  
Gérard Champenois ◽  
Emile Mouni
Keyword(s):  
Synchronous Generator ◽  
Voltage Regulation ◽  
Dual Control ◽  
Terminal Voltage
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