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.

A Hybrid Intelligent Excitation Control for Ship Power Station

2011 ◽  
Vol 128-129 ◽  
pp. 780-783
Author(s):  
Zhi Peng Shen ◽  
Chen Guo ◽  
Yu Ting Wang
Keyword(s):  
Intelligent Control ◽  
Learning Algorithm ◽  
Synchronous Generator ◽  
Control Technique ◽  
Excitation Control ◽  
Power Station ◽  
Terminal Voltage ◽  
Simulation Results ◽  
Synchronous Generator Excitation ◽  
Generator Excitation Control

Hybrid intelligent control technique is used for ship power station synchronous generator excitation control in this paper. The parameters and structure of the excitation controller are learned and adjusted through a hybrid learning algorithm combining self-organizing learning with BP learning. This algorithm converges much faster than original BP learning. Simulation results show that the synchronous generator excitation controller based on the learning algorithm can significantly stabilize terminal voltage.

scholarly journals Model Predictive Control for Indirect Boost Matrix Converter Based on Virtual Synchronous Generator

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 60364-60381 ◽  
Author(s):  
Jonggrist Jongudomkarn ◽  
Jia Liu ◽  
Yuta Yanagisawa ◽  
Hassan Bevrani ◽  
Toshifumi Ise
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Synchronous Generator ◽  
Matrix Converter ◽  
Virtual Synchronous Generator

scholarly journals Speed sensorless model predictive control method for a direct-drive wind energy conversion system

2019 ◽  
Vol 52 (9-10) ◽  
pp. 1394-1402 ◽  
Author(s):  
Shengquan Li ◽  
Juan Li ◽  
Hanwen Wu ◽  
Zhongwen Lin
Keyword(s):  
Model Predictive Control ◽  
Wind Energy ◽  
Predictive Control ◽  
Control Method ◽  
Synchronous Generator ◽  
State Observer ◽  
Extended State Observer ◽  
Direct Drive ◽  
Extended State ◽  
Speed Sensorless

Considering the problems of the internal and external disturbances of wind speed in the direct-drive wind energy conversion system based on a permanent magnet synchronous generator, a novel model predictive control based on the extended state observer method without the accurate mathematical system model is proposed in this paper. First, a model predictive control method is employed as the feedback controller, while the mathematical model of the control system can be adjusted online via the rolling optimization strategy. Second, an extended state observer is introduced to estimate the state variables and lumped disturbances, that is, the internal disturbances including nonlinear characteristic, multi-variety coupling effect, uncertainties of system parameters, and external disturbances including variations of wind speeds and uncertainties of the natural environment. Third, the effect of lumped disturbances can be attenuated by the estimated disturbance value via a feedforward channel. In addition, in order to achieve the real-time speed control performance of the permanent magnet synchronous generator, a speed sensorless algorithm based on a flux observer is proposed to solve the problem of unsuitability of mechanical speed sensor. Finally, the simulation results with several wind speed types show that the proposed sensorless model predictive control with the extended state observer strategy is an effective way to improve the performance of anti-disturbance and ability of tracking maximum wind energy of the wind power control system.

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