Power and Control Systems
Research Laboratory
Professor Jihong Wang
School of Engineering, University of Warwick
Coventry CV4 7AL, UK
PACSRLab
Power and Control Systems
Location
• In Coventry, very central
– at the “heart of
England”
• In the centre of the
manufacturing region
• 60 minutes from London
by train
PACSRLab
PACSRLab
History of the University
Established in 1965
First student intake: 450
PACSRLab
The University – fact
Consistently ranked in the top 10 of UK universities:
3rd - The Guardian, June 2010
6th - The Independent, April 2010
8th - The Times Good University Guide, June 2010
5th - The Times Good University Guide, June 2012.
The results of the 2008 Research Assessment Exercise (RAE)
reiterate Warwick’s position as one of the UK’s leading
research universities, with Warwick ranked at 7th overall in
the UK. 65% of Warwick's research is 'world-leading' or
'internationally excellent' (Quality level of either 3* or 4*)
The best modern university in the UK!
PACSRLab
The Team
Staff
Prof. J Wang
Dr X Luo
Dr J Wojcik
Mr H Sun
Dr J Clarke Dr O Kiselychnyk
Research Students
H Liu
M Draganescu
S Guo
Y Wang
M Dooner
C Krupke
PACSRLab
The Team
PACSRLab
Research Areas
• Energy efficiency: systems, drives and control
• Power system modelling and control
• Nonlinear system control theory and applications
PACSRLab
Research Project
Supercritical coal fire power plant modelling, simulation and
control, gird code compliance study
A joint project with Birmingham University, Tsinghua and NCEPU
PACSRLab
Warwick and Tsinghua joint
Thermal Power Plant Modelling and Simulation Laboratory
Research Project
The Next Generation of Activated Carbon Adsorbents for CO2 Capture in
IGCC Processes
A joint project led by Nottingham University with Birmingham University and UCL
PACSRLab
Research Project
Flexible and Efficient Future Power Plant
PACSRLab
BCURA
Research Project
Power Plant Coal Mill On-line Condition Monitoring
Two software programs
The software can be
installed at power
stations and the
operators can see the
software predicted
output to compare with
the measured outputs.
Also, the software can
provide the estimated
values for those
immeasurable
variables, for example,
PF coal inside the mill.
On-line condition monitoring
Intelligent model optimisation
Observing mill conditions
PACSRLab
Research Project
Integrated Market-fit Affordable Grid scale Energy Storage
Website
PACSRLab
Research Project
Hybrid Wind Turbine
Wind Turbine
Air motor
Power grid
Air tank
Wind Turbine
Air tank
Air motor
Compressor
Power grid
Compressor
Generator
PACSRLab
Research Project
Pneumatic actuator systems
RPM
speed
angle
RPM
center pressure
Tangle Cangle
TAngle
exhuast pressure
Cycle Angle
RPM
5
Totalangle
Total angle
scroll torque
side pressure
1
scroll torque (Nm)
angle
RPM
speed
Vcdot
Scroll Torque
RPM
speed
Vcentral
speed
Vc
Central Chamber Volume
central pressure
Vc dot
2
center chamber pressure
initial pressure
1e5
1.7437e-5
Vc
initial Pressure
initial mass
initialM
initialP
CVini
central temperature
initialT
reset
angle
reset
mass reset
initial mass
sidepressure
reset
angle
leakage_center_down
exhpressure
Central Cahmber T & P
Totalangle
alpha
v1st
V1st
V1st
Vcentral
V1st dot
angel speed v1st dot
1st side temperature
Temp1st
initial1st pressure
Side Chamber Volume
1st mass
1st side pressure
reset 1st pressure
reset
Pressure
3
angle
V1st
side chambers pressure
exhpressure
initial 1st P
1st mass
1st mass
leakage_side_exh
Pressure
leakage_center_down
initial 1st T
initial mass1
Side Chamber T & P
Temp1st
Scroll type of air motor rotor speed
4000
4
exhaust chambers pressure
Rotor speed (rev/min)
3500
3000
Ve
2500
alpha
2000
ve
1500
Vcentral
1000
angel speed
Pini
ini Pre
10
20
30
40
50
mini
massini
m1st
ve dot
Experimental
Simulated
0
0
Total volume
2.0e-4
Pmix
Ve dot
Tmix
Total volume
60
Subsystem
Res P
Exhuast Chamber Volume
Time (s)
DC generator voltage
exhaust pressure
Tangle
mex
500
exh pressure
Ve dot
Vexhaust
reset
angle
45
reset
exh temperature
exhaust temperature
reset out_mass
40
reset1
leakage_c_down
Voltage (volts)
35
30
Ve
25
V1st
20
Te
15
T1st
leakage_s_e mass in chamber
initial pressure
massin exhaust chamber
P
angle
Exhaust Chamber T & P
me
10
5
m1st
Experimental
Simulated
0
0
10
20
30
40
50
P1st
60
Time (s)
initial temperature
T
Pex
Initial parameters of exhaust chambe
Vane type of air motor rotor speed
Vane type of air motor exhaust port pressure
x 10
3.5
Speed (rad/s)
Pressure (Pa)
4
3
2.5
2
60
3.5
50
3
Pressure (Pa)
5
4.5
40
30
20
5
Scroll Scroll
type of
air motor
intake
pressure
expander
intake
pressure
2.5
2
1.5
10
1.5
5
10
15
20
Time (s)
25
30
35
40
1
Experimental
Experimental
1
0
x 10
0
0
10
20
30
Time (s)
40
50
0
Experimental
10
20
30
40
50
Time (s)
PACSRLab
Research Project
Voltage Controller and Power Reduction Algorithms
Voltage
Controller
Input
Output
Algorithms
Display
Instant Power Reduction
Or Energy Saving
PACSRLab
Research Project
Wind Screen Wiper HIL Modelling and Simulation
Env
Machine
Environment
Rotor
Joint Actuator
motion_in
1
Right_Wiper
B
sim_torque_scope1
av
raw_torque
left_motion_sensor
CS2
torque_sensor
A
Goto1
Kinetic Damping Actuator2
Torque_Conditioning
F
right_motion_sensor
B
av
aa
Position
ap
F
Acceleration
av
aa
To Joint
I
B
length_1
Kinetic Damping Actuator1
right_position
Velocity
Out1
1
sim_torque_scope
Acceleration
Right_Dynamic_Measurement
CS1
CS1
To Joint
Kinetic Damping Actuator
CS1
Kinetic Damping Actuator5
To Joint
Length_7
B
CS3
B
To Joint
Length_3
CS2
F
B
CS2
CS1
F
length_2
F
C
B
B
H
D
F
Velocity
torque
Tc
ap
Out1
CS2
Position
left_position
2
Left_Wiper
F
Left_Dynamic_Measurement
F
A
G
Length_6
E
Length_5
B
CS1
CS2
Length_4
B
CS1
F
CS2
CS1
F
CS2
Kinetic Damping Actuator4
To Joint
Kinetic Damping Actuator3
To Joint
PACSRLab
Research Project
New Control Methodology for the Next Generation of
Engine Management System (CONNEXT)
Kamyar Mehran
PACSRLab
Research Project
Voltage Vector Control of Self-Excited Induction
Generator with StatCom for Renewable Energy
ABB ACS 355 drive and
Off-grid
synchronous motor as a prime induction
mover simulator
generator
Goal: to stabilize generated voltage
under velocity and load changes
Voltage and current sensors
dSpace DSP controller
Feedback
Control
Static synchronous compensator
Control
Resistive loads
Capacitors bank
Deliverables: improved quality and reliability of power generation for renewable energy
Relay board
PACSRLab
Research Project
Cost Effective Sensorless Control of Induction Motor
Driven Turbomechanisms for Energy Saving
Goal: to eliminate expensive pressure and flow rate sensors for closed loop control
Centrifugal fan
(pump/compressor)
with induction motor
dSpace DSP controller
(estimation and control algorithm)
Voltage and current sensors
Feedback
Control
Verification
Frequency converter
Deliverables: 25-30% reduction of cost of pressure (flow rate) stabilization systems
Differential pressure
and flow rate sensors
PACSRLab
Research Project
Battery Characterisation and Management – the key to
Smart Grids and the Integration of EVs’
To start in Sept. 2013
PACSRLab
Thank you!