Professor: Ming-Shyan Wang Student: Yi-Ting Lin Missing-Sensor-Fault-Tolerant Control for SSSC FACTS Device With Real-Time Implementation Wei Qiao, Member,

Slides:



Advertisements
Similar presentations
ACTIVE POWER FILTER FOR POWER COMPENSATION
Advertisements

EECE499 Computers and Nuclear Energy Electrical and Computer Eng Howard University Dr. Charles Kim Fall 2013 Webpage:
A Highly Reliable Fault-Tolerant Microprocessor System for Industrial Process Control 組員: 廖志偉 蔡鴻年.
Hybrid Terminal Sliding-Mode Observer Design Method for a Permanent-Magnet Synchronous Motor Control System 教授 : 王明賢 學生 : 胡育嘉 IEEE TRANSACTIONS ON INDUSTRIAL.
Fault Tolerant Control of Multivariable Processes Using Auto-Tuning PID Controller IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS,
1 A New Successive Approximation Architecture for Low-Power Low-Cost A/D Converter IEEE JOURNAL OF SOLID-STATE CIRCUITS, VOL.38, NO.1, JANUARY 2003 Chi-sheng.
Approximate Dynamic Programming and Reinforcement Learning for Nonlinear Optimal Control of Power Systems November 4, 2003 Ronald Harley Georgia Institute.
Controller Tuning: A Motivational Example
Design of Fault Tolerant Data Flow in Ptolemy II Mark McKelvin EE290 N, Fall 2004 Final Project.
Department of Electrical Engineering Southern Taiwan University of Science and Technology Robot and Servo Drive Lab. 2015/7/2 Digital Control Strategy.
Presented by: Bikram Choudhury Regd. No. : Department of Electrical And Electronics Engineering FACTS Devices For Smart Grid 2 July 2015.
IEE TRANSACTIONS ON POWER ELECTRONICS, VOL.18,NO. 1, JANUARY 2003
STATCOM The STATCOM (or SSC) is a shunt-connected reactive-power compensation device that is capable of generating and/ or absorbing reactive power and.
1 SOUTHERN TAIWAN UNIVERSITY ELECTRICAL ENGINEERING DEPARTMENT Gain Scheduler Middleware: A Methodology to Enable Existing Controllers for Networked Control.
A Wideband CMOS Current-Mode Operational Amplifier and Its Use for Band-Pass Filter Realization Mustafa Altun *, Hakan Kuntman * * Istanbul Technical University,
Alternating Current Circuits
REAL-TIME SOFTWARE SYSTEMS DEVELOPMENT Instructor: Dr. Hany H. Ammar Dept. of Computer Science and Electrical Engineering, WVU.
A Shaft Sensorless Control for PMSM Using Direct Neural Network Adaptive Observer Authors: Guo Qingding Luo Ruifu Wang Limei IEEE IECON 22 nd International.
Student: Dueh-Ching Lin Adviser: Ming-Shyan Wang Date : 20th-Dec-2009
THYRISTOR BASED FACTS CONTROLLER
POWER QUALITY.
Prajwal K. Gautam, Dept. of Electrical and Computer Engineering Dr. Ganesh K. Venayagamoorthy, Dept of Electrical & Computer Engineering Dr. Keith A. Corzine,
1 Clemson University Electric Power Research Association Zhenyu Fan IEEE Student Member Dynamic Performance of Distribution Systems with Distributed Generation.
1 An FPGA-Based Novel Digital PWM Control Scheme for BLDC Motor Drives 學生 : 林哲偉 學號 :M 指導教授 : 龔應時 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL.
Dual Winding Method of a BLDC Motor for Large Starting Torque and High Speed IEEE TRANSACTIONS ON MAGNETICS, VOL. 41, NO. 10, OCTOBER 2005 G. H. Jang and.
Mobile Robot Navigation Using Fuzzy logic Controller
Building Dependable Distributed Systems Chapter 1 Wenbing Zhao Department of Electrical and Computer Engineering Cleveland State University
Adaptive control and process systems. Design and methods and control strategies 1.
REAL-TIME SOFTWARE SYSTEMS DEVELOPMENT Instructor: Dr. Hany H. Ammar Dept. of Computer Science and Electrical Engineering, WVU.
Department of Electrical Engineering, Southern Taiwan University 1 A novel sensorless control method for brushless DC motor Student: Wei-Ting Yeh Adviser:
Low Level Control. Control System Components The main components of a control system are The plant, or the process that is being controlled The controller,
Daudi Mushamalirwa Luanda June, 2014 Technical issues of the stability of small size electric systems composed of wind generators and conventional generating.
Sensorless Control of the Permanent Magnet Synchronous Motor Using Neural Networks 1,2Department of Electrical and Electronic Engineering, Fırat University.
An Energy-Efficient MAC Protocol for Wireless Sensor Networks Qingchun Ren and Qilian Liang Department of Electrical Engineering, University of Texas at.
Protection of Microgrids Using Differential Relays
Chapter 6. Effect of Noise on Analog Communication Systems
Department of Electrical Engineering Southern Taiwan University of Science and Technology Robot and Servo Drive Lab. 2015/11/20 Simple position sensorless.
Adviser : Cheng-Tsung Lin Student :Nan-hui Hsieh
Student: Hsin-Feng Tu Professor: Ming-Shyan Wang Date : Dec,29,2010
Introduction to Motion Control
Department of Electrical Engineering Southern Taiwan University of Science and Technology Robot and Servo Drive Lab. 2015/12/6 Professor : Ming-Shyan Wang.
IEEE TRANSACTIONS ON MAGNETICS, VOL. 42, NO. 10, OCTOBER Optimal Commutation of a BLDC Motor by Utilizing the Symmetric Terminal Voltage G. H. Jang.
Digital Microfluidics Control System II P Previous state - The previous control system is not self contained and uses a class AB amplifier which.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, VOL. 51, NO. 5, SEPTEMBER/OCTOBER 2015 學 生: 張正賢 指導教授: 王明賢.
Department of Electrical Engineering Southern Taiwan University of Science and Technology Robot and Servo Drive Lab. 學生 : 蔡景棠 指導教授 : 王明賢 2016/1/17 Compensation.
UNIT-VII Static Series Compensators
An Energy-Efficient Motor Drive With Autonomous Power Regenerative Control SystemBased on Cascaded Multilevel Inverters and Segmented Energy Storage 研究生.
Student: yi-sin Tang Adviser: Ming-Shyan Wang Date :
Department of Electrical Engineering Southern Taiwan University NEW Initial Position Detection Technique for Three-Phase Brushless DC Motor without Position.
Department of Electrical Engineering Southern Taiwan University Industry Application of Zero-Speed Sensorless Control Techniques for PM Synchronous Motors.
Department of Electrical Engineering Southern Taiwan University Simple position sensorless starting method for brushless DC motor Student: Po-Jui Hsiao.
A Novel Universal Sensor Concept for Survivable PMSM Drives Yao Da, Student Member, IEEE, Xiaodong Shi, Member, IEEE, and Mahesh Krishnamurthy, Senior.
Department of Electrical Engineering, Southern Taiwan University Initial Rotor Position Estimation for Sensorless Brushless DC Drives Student: G-E Lin.
Superconducting Fault Current Limiter
ECE 576 – Power System Dynamics and Stability
1 Decentralized Adaptive Voltage Control with Distributed Energy Resources Presenter: Huijuan Li.
Professor Mukhtar ahmad Senior Member IEEE Aligarh Muslim University
1 PEBB-based Power Electronic Systems to Support MVDC Studies Herbert L. Ginn III, Mississippi State University.
A Simple Fuzzy Excitation Control System for Synchronous Generator International conference on emerging trends in electrical and computer technology, p.p.
Flexible AC Transmission FACTS-Technology and Novel Control Strategies For Power System Stability Enhancement Mohamed Shawky ElMoursi Supervisor Prof.
DOUBLE INPUT Z-SOURCE DC-DC CONVERTER
DOUBLE INPUT Z-SOURCE DC-DC CONVERTER
DOUBLE INPUT Z-SOURCE DC-DC CONVERTER
IG BASED WINDFARMS USING STATCOM
SOUTHERN TAIWAN UNIVERSITY ELECTRICAL ENGINEERING DEPARTMENT
Project guide B. SUBBULAKSHMI M. E Assistant Professor C. A. R
Professor: Ming-Shyan Wang Student: CIH-HUEI SHIH
Linear Control Systems
Hafez Sarkawi (D1) Control System Theory Lab
Presentation transcript:

Professor: Ming-Shyan Wang Student: Yi-Ting Lin Missing-Sensor-Fault-Tolerant Control for SSSC FACTS Device With Real-Time Implementation Wei Qiao, Member, IEEE, Ganesh Kumar Venayagamoorthy, Senior Member, IEEE, and Ronald G. Harley, Fellow, IEEE IEEE TRANSACTIONS ON POWER DELIVERY, VOL. 24, NO. 2, APRIL 2009

Outline Abstract Introduction RESULTS AND DISCUSSION CONCLUSION REFERENCES

Abstract Control of power systems relies on the availability and quality of sensor measurements. However, measurements are inevitably subjected to faults caused by sensor failure, broken or bad connections, bad communication, or malfunction of some hardware or software. These faults, in turn, may cause the failure of power system controllers and consequently, severe contingencies in the power system. To avoid such contingencies, this paper presents a sensor evaluation and (missing sensor) restoration scheme (SERS) by using auto- associative neural networks (auto encoders) and particle swarm optimization. Based on the SERS,a missing-sensor-fault-tolerant control is developed for controlling a static synchronous series compensator (SSSC) connected to a power network. This missing-sensor fault-tolerant control (MSFTC) improves the reliability, maintainability, and survivability of the SSSC and the power network. The effectiveness of the MSFTC is demonstrated by a real-time implementation of an SSSC connected to the IEEE 10-machine 39-bus system on a Real Time Digital Simulator and TMS320C6701 digital signal processor platform. The proposed fault-tolerant control can be readily applied to many existing controllers in power systems.

Introduction CONTROL of any plant (device or subsystem) in an electric power system depends on the availability and quality of sensor measurements. Measurements, however, can be corrupted or interrupted due to sensor failure, broken or bad connections, bad communication, or malfunction of some hardware or software (all of these are referred to as missing sensor mea surements in this paper). If some sensors are missing, the controllers cannot provide the correct control actions for a plant.

The objective of the SSSC external control (Fig. 2) is to damp transient power oscillations of the system. This external controller is able to rapidly change the compensating reactance injected by the SSSC, thus providing supplementary damping during transient power swings [3], [4]. In a practical controller,it is usually desirable to choose a local signal. In this paper, the active power deviation on the transmission line, measured at the connection point of the SSSC, is used as the input signal to the external controller. In Fig. 2, is passed through two first-order low-pass filters and a damping controller (consisting of a proportional damping gain and a washout filter) to form a supplementary control signal, which is then added to a steady-state fixed set-point value to form the total commanded value of compensating reactance at the input of the SSSC internal controller [9]. The washout filter is a high-pass filter that removes the dc offset, and without it, the steady changes in active power would modify the value of compensating reactance. The use of two low-pass filters is based on two reasons: 1) filtering the electrical noise in the measurements and 2) phase compensation to ensure that the variations in compensating reactance are correctly phased with respect to the transient power oscillations in order to provide supplementary damping.

RESULTS AND DISCUSSION Design of the SERS 1) Three-Phase Current Sensor Measurements: Power systems normally operate under almost balanced three-phase conditions at the transmission level. Thus, the three-phase currents ia,ib, and ic should approximately satisfy the following equation: A more realistic expression for (6) can be written as where is a predetermined small threshold. Under balanced conditions, if the aforementioned relationship (7) is not satis- 744 IEEE TRANSACTIONS ON POWER DELIVERY, VOL. 24, NO. 2, APRIL 2009 Fig. 5. Structure of the SERS-I.fied, it indicates that one or more current sensors are missing. However, if,, and are all missing, there might be and, therefore, (7) is still satisfied; to distinguish such a case from the case of no missing sensor, another equation is used, given by and and (8) where is a predetermined small threshold. If (7) is satisfied but (8) is not satisfied, there is no sensor missing. Otherwise,one or more phase current sensors are missing.

CONCLUSION Fault tolerance is an essential requirement for modern power system control. This paper has proposed an MSFTC strategy for controlling an SSSC connected to a power network. The MSFTC consists of a sensor evaluation and (missing sensor) restoration scheme (SERS) and a conventional internal and external SSSC control scheme (without any fault-tolerant design). The conventional control scheme provides the correct control actions for the SSSC under the condition that all of the required sensor data are available. The SERS evaluates the integrity of the time-varying sensor measurements used by the conventional SSSC controllers. If some sensors are missing, it is able to detect and restore the missing sensor data. The restored missing sensor data are then used by the SSSC controllers, which provide an MSFTC for the SSSC.

REFERENCES [1] L. Gyugyi, C. D. Schauder, and K. K. Sen, “Static synchronous series compensator: A solid-state approach to the series compensation of transmission lines,”IEEE Trans. Power Del., vol. 12, no. 1, pp. 406–417, Jan [2] B. S. Rigby and R. G. Harley, “An improved control scheme for a series-capacitive reactance compensator based on a voltage-source inverter,”IEEE Trans. Ind. Appl., vol. 34, no. 2, pp. 355–363, Mar./Apr [3] B. S. Rigby, N. S. Chonco, and R. G. Harley, “Analysis of a power oscillation damping scheme using a voltage-source inverter,”IEEE Trans. Ind. Appl., vol. 38, no. 4, pp. 1105–1113, Jul./Aug [4] W. Qiao and R. G. Harley, “Indirect adaptive external neuro-control for a series capacitive reactance compensator based on a voltage source PWM converter in damping power oscillations,”IEEE Trans. Ind. Electron., vol. 54, no. 1, pp. 77–85, Feb [5] R. J. Patton, “Fault-tolerant control: The 1997 situation,” inProc. IFAC Symp. Fault Detection, Supervision, Safety for Technical Processes, Hull, U.K., Aug. 1997, pp. 1033–1055