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Transcript of Introduction to the Research Team in Cardiff University to the Research Team in Cardiff University...
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Introduction to the Research Team in Cardiff University
Dr. Jianzhong Wu Reader in School of Engineering, Cardiff University
Monday, November 03, 2014
UK-China RESTORES Project Kick-off Meeting
Wales, Cardiff & the University and some relevant local history
• Wales
– Population: 3.06 M
– Languages: English, Welsh (20%)
– Traditional food: Indian Curry
– Traditional drink: Belgian beer & French wine!
– Traditional sport: Rugby – of course!
• Cardiff
– Capital city of Wales (population 350,000)
– Cardiff Docks - Largest world exporter of coal during the Industrial Revolution
• Cardiff University
– Founded in 1883
• Small premises on Newport road
• 32 academic staff
• 102 students
– And today
• Buildings all around Cardiff
• 6,000 staff
• 28,000 students
3
School of Engineering • Mission Statement
– To deliver world-class scholarship in order to address national and global challenges and to inspire the next generation of engineering leaders • Teaching, Research and Knowledge Transfer
• Facts and Figures – One of the Universities Largest Schools
– Staff total 257 (~90 academic)
– Student total ~1500 • Undergraduate BEng/MEng ~1200
• Postgraduate Taught MSc/MPhil ~150
• Postgraduate Research PhD ~150
• Funding from Government and Industry – Annual turn-over £20M
• One of the UK Top 10 Engineering Schools
Centre for Integrated Renewable Generation and Supply (CIREGS)
£3M+ investment by EPSRC and HEFCW to establish a research centre in Renewables
£700k for equipment •Power System Simulator •Real Time Digital Simulator •Multi-terminal HVDC Rig •Wind Turbine Rig
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Research Team – Prof. NICK JENKINS, Dr. JANAKA EKANAYAKE, Dr. JIANZHONG WU, Dr. LIANA CIPCIGAN, Dr. JUN LIANG,
Dr. DANIEL ROGERS, Dr. CARLOS UGALDE-LOO , Dr. MEYSAM QADRDAN
ABOUT US TIMELINE EV&ES ENERGY INFRA SMART GRID M-HVDC
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ABOUT US TIMELINE EV&ES ENERGY INFRA SMART GRID M-HVDC
Wind Turbine
Control
Wind Turbine
Integration
Active Network
Management
Multi-Terminal
HVDC MicroGrids/CELL/VPP
Peer to Peer
National Energy
Infrastructure
Smart Metering
Smart Community Energy
Infrastructure Demand Side
Integration
Self-Healing Grids
Integration of Electric
Vehicles and Energy
Storage
ICT Infrastructure
6
2008 2010 2012 2014
Recent research projects
ABOUT US TIMELINE EV&ES ENERGY INFRA SMART GRID M-HVDC
UK-China OPEN UK-China ERIFT UK-China EV&ES UK-China Smart Distribution
2 EU projects on HVDC 2 UK-Inida Smart Grid Projects
UK-China RESTORES
Horizon 2020 P2P-Smart Test
EU FP7 DoF
National Grid NIA project on Dynamic Demand
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ABOUT US TIMELINE EV&ES ENERGY INFRA SMART GRID M-HVDC
• Use of smart meters for distribution state estimation and for controlling grid
• Use of smart meter for controlling domestic appliances and micro generators
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Virtual Power Plant MicroGrids
CELL
Facilitate the integration of local generation and demand side through MicroGrids/CELL/VPP for:
providing a system level resource where applicable
mitigating network constraints on local generation
ABOUT US TIMELINE EV&ES ENERGY INFRA SMART GRID M-HVDC
ABOUT US TIMELINE EV&ES ENERGY INFRA SMART GRID M-HVDC
EU Horizon 2020 Project: Peer to Peer Smart Energy Distribution Networks
0.9
0.92
0.94
0.96
0.98
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1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31V
olt
age
(p
.u.)
Bus Number
• What is an Soft Open Point (SOP) A power electronic device installed in place of a normally-open point (NOP) between feeders
Capability of an SOP
Flexible control of real and reactive power flow
Immediate fault isolation and fault current limiting
Quick supply restoration after fault isolation
Research Objectives
Quantify the benefits of SOP in distribution network operation
Investigate the dynamic operational characteristics of a SOP
Various types of SOP devices
ABOUT US TIMELINE EV&ES ENERGY INFRA SMART GRID M-HVDC
ABOUT US TIMELINE EV&ES ENERGY INFRA SMART GRID M-HVDC
Multi-Vector Energy Systems – an example
Simulation and Analysis of GB Combined Ele./Gas Networks (CGEN model)
Simulation and Analysis of Community-Level Multi-Vector Energy Networks
Modelling of European Energy Systems
Integrated Analysis
Simulation and Analysis of Building-Level Multi-Vector Energy Systems Infrastructure
Study
ABOUT US TIMELINE EV&ES ENERGY INFRA SMART GRID M-HVDC
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IPS
A+
Scr
ipte
d
Ex
ten
sio
n L
ibra
ry
Spatial-
Temporal
Analysis
Engine
The transportation analysis
tool
IPSA+ CoreInterface
Spatial Temporal
Model
A sever coordinates
data transfer between
TransCad and IPSA+
Visualization and
analysis
Transportation, Evs
and GIS dataPower system data
Interface
EV database
Spatial Temporal Model developed under MERGE
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68
1012
1416
1820
2224
1109_C
1102_C
1120_I
6615_I
6607_R
1125_R
1107_R
1117_R0.84
0.86
0.88
0.9
0.92
0.94
0.96
0.98
Hour, hBus name
Vo
ltag
e m
ag
nit
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es
wit
ho
ut
EV
, p
.u.
24
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2224
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1102_C
1120_I
6615_I
6607_R
1125_R
1107_R
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0.9
0.92
0.94
0.96
0.98
Hour, hBus name
Vo
ltag
e m
ag
nit
ud
es
wit
ho
ut
EV
, p
.u.
78%
80%
116
%
117
%
59%
100
%
84%86% 80%
66% 69%
63%
63%
58%
32%
34%
72%
76%
72%
73%
77%
76%
26%
29%
67%
67%
65%
65%
35%
116%
31%
59%
82% 80%
75%
80%
48% 48%
40% 40%
48%
48%
37%
58%
58%
60%
59%
58%
58%
44% 32%
45% 47%
36%
36%
4%
4%
35%
36%
20% 20%21%
38%
37%
24%
24%
56% 57%
54%
52%
64%
62%
44% 44%
60%64%
37% 36%
46%
45%
57%
57%
91%
90%
94%
93%
97% 96%
50% 50%
95% 95%
70%
70%
70%
62%
59%
53%
57%
36%
36%
37%
33% 33%
52% 53%
65%
66%
65%
99%
66% 67%
6606
307
6607 6608
6609
103
104
301
1101
1118
304
305
312
313
329
330
1102
1106
1126
322
111
112
1115 1114 1116
320 321 327 328
11251111
1108
114 113
326
11201122
1123
1124
11191113
1112
1104
1105
1103
1107
108
107 316
317
315
314 6601
323
6614
6615
105
106
306
6613
325
324
1117
109 110
319
6602
6605
6603
6604
6611
6612
6610
1109
1110
6616
0
200
400
600
800
1000
1200
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
Pow
er,
MW
Time, h
Base load
Worst case with 25% EV
Worst case with 50% EV
Dump case with 25% EV
Dump case with 50% EV
Smart case with 25% EV
Smart case with 50% EV
1
3
5
7
9
11
13
15
17
19
21
23
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
10
1
10
4
10
7
11
0
11
03
11
06
11
09
11
11
11
14
11
17
11
2
11
23
11
26
30
1
30
6
31
3
31
6
32
0
32
3
32
6
32
9
66
02
66
05
66
08
66
11
66
14
99
Ho
ur,
h
Pro
ba
bil
ity
Bus number
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
ABOUT US TIMELINE EV&ES ENERGY INFRA SMART GRID M-HVDC
Impact of a Large Penetration of Electric Vehicles
UK-China EV&ES project
ABOUT US TIMELINE EV&ES ENERGY INFRA SMART GRID M-HVDC
THE ROLE OF ENERGY STORAGE SYSTEMS IN THE FUTURE GB
POWER SYSTEM
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ABOUT US TIMELINE EV&ES ENERGY INFRA SMART GRID M-HVDC
The High Voltage Direct Current research group has a focus on developing technology for offshore network and its effects on the onshore transmission network.
Research topics:
• Investigation into the Subsynchronous Resonance Effects from Series Compensated Transmission Lines with Quadrature Boosters
• Damping of Subsynchronous Resonance using a Two Terminal VSC-HVDC Link
• Damping of Subsynchronous Resonance using a FRC Wind Turbine
• Operation and Control of MTDC Transmission Networks for Offshore Wind Farms
A key contributor to a number of research consortia funded by EPSRC, EU and industry
A key contributor to several books on smart grid and renewables
A key contributor to the Advisory Council of the EU Smart Grids Technology
Platform the Low Carbon Network Fund Panel advising OFGEM
on disbursement of £500M the Smart Grid Forum (DECC and OFGEM) the UK Energy Research Centre
Recognitions