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Instrumentation & Control Research for NPP at Western University
in Canada
Instrumentation & Control Research for NPP at Western University
in Canada
Jin Jiang NSERC/UNENE Senior Industrial Research Chair
Department of Electrical and Computer Engineering The University of Western Ontario, London, Ontario, N6A 5B9, Canada
3
Nuclear Power Plants in Canada
Pickering A 2168 MWe
Bruce A 3300 MWe
Pickering B 2160 MWe
Bruce B 3440 MWe
Gentilly-2 685 MWe
Point LePreau 680 MWe
Darlington 3740 MWe
5
Diagnostics
Research being Supported
Advanced Control
Wireless Sensor Applications
Modeling
Simulation
Devices and Networks
Simulation Environment for I&C Research
6
Big Screen
Ph
ysic
al
te
st
be
d
Safety
Control
Systems Physical
Demo Engineering Workstations
(Fieldbus, DCS, Safety)
Shutdown
System/
Simulation
Work-
bench
Instrument
Work-
bench
Connectivity
Cart
Simulator
SG level and pressure control
Pressure and inventory control of heat transport system
Pressurizer pressure and level control
Turbine control
Shutdown systems
Passive safety system
Monitoring and fault diagnostics
Reactor power control
Functions of Physical I&C test bed
11
Reactor modeling and simulation
Hardware- and software-in-the-loop simulation
Distributed control systems, networks and smart devices
Control system design and evaluation
Fault detection and diagnosis
Nuclear I&C Research Activities at Western
Wireless sensor applications
12
(d)
(a) (b)
(c)
3-D reactor power distribution by a modal synthesis model (reactor bulk power is 1.0 FPU)
(a) The sixth plane; (b) The fourth plane; (c) The second plane and (d) The end plane
Reactor Neutronic Kinetic Models
13
An animation showing the dynamic process of neutron flux distribution within the 4th layer
RRS’ Function – Spatial Control
Modeling of SCWR-based Power Plant
15
HP IP
HP HT FD
PUMPDEAERATOR LP HT
REHEATERS
LP
CND
RE
AC
TO
R
GE
17
DeltaV Distributed
Control System
Honeywell C300
Distributed Control System
Modeling and Hardware-in-the-loop Simulation
Effects on Network Based Control
Human Machine
Interface
Data Acquisition
and Processing System Control Process
Physical Demonstration
Nuclear Power
Plant Simulator
Siemens PCS7
Distributed Control System
HF Controls
ECS1200 SBC06
Verification and Validation (V&V) by Hardware- and Software-in-the-loop Simulation
18
Measuring and Analyzing the Fidelity of in-the-loop Simulation Platforms
Currently 3 Measures: Availability, Transparency, Normalized Transparency
19
Nuclear Power Plant Safety Critical and Shutdown Systems (FPGA)
Safety Critical Hardware-in-the-Loop Simulation Environment (FPGA)
safety system inputs
(process variables) SI Units, high/low → 4-20mA, 0-5/10V
SI Units, high/low ← 4-20mA, 0-5/10V
safety system outputs
(trip signals)
National Instruments
Data Acquisition (DAQ) Input
Circuit
Processing
Logic
(FSM)
Extensive Conditions
Setpoints
Output
CircuitInputs
Trip
Signal
Altera – Stratix FPGA
with SDS1 logic NPP Training Simulator
and Human Machine Interface
Level Control Loops using (a) Analog Channels (b) Analog and FF (c) FF H1 Network Only
Research on the Effects of Networks on the Control of a Physical Process
21
(a) Plate level responses to a step input;
(b) control signals to the actuator under different control schemes
in the case of time delay from 2.18 to 2.73s.
MPC for Delay Compensation (Experiment)
23
24
U-Tube Steam Generator Level Control
Nonlinear Model Predictive Control
Control through Fieldbus
Level Set-point Optimization for Three Term Controller
25
Practice Swell and shrink Inverse response characteristic Typical step response
1
1PNM
2
ss
s
1
1 MP
2
ss
s
*
Non-minimum Phase
28
Standards in WSN
Investigation on standard low powered WSN ZigBee.
WirelessHart.
ISA 100.
Chirp SS based WSN.
ISA100
ZigBee
WirelessHART
28
29
Observations No significant impact of radiation observed.
Freq. Received power (dBm)
Low Rad. High Rad.
1.700 -43.73 -41.87
2.000 -30.37 -42.43
2.390 -30.46 -25.77
2.400 -26.30 -29.13
2.410 -27.19 -25.03
2.420 -28.23 -27.13
2.430 -23.46 -21.52
29
Wireless Communication Inside A Hot Cell
30
Interference with RPS
Instrument: Log rate amplifier.
Wireless devices
Walkie-talkie.
ZigBee WSN module.
Vector signal generator, analyzer.
Response recorded at different distances.
Susceptibility of the sensitive instruments to EMI from wireless devices
30
31
Observations with walkie-talkie.
Trip threshold 5%.
0% rate change with WSN modules at even 0” distance.
Distance Rate change
2” 14%
4” 10%
6” 8%
8” 2%
12” 1%
31
Interference with RPS
32
EM Characterization
Characterization of EM environments in NPP Measurements are taken in an operating nuclear
reactor.
32