Frankfurt (Germany), 6-9 June 2011 Chin Kim Gan, Marko Aunedi, Valdimir Stanojevic, Strbac Goran,...
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Transcript of Frankfurt (Germany), 6-9 June 2011 Chin Kim Gan, Marko Aunedi, Valdimir Stanojevic, Strbac Goran,...
Frankfurt (Germany), 6-9 June 2011
Chin Kim Gan, Marko Aunedi, Valdimir Stanojevic, Strbac Goran, (Imperial College)
Dave Openshaw (UK Power Networks)
Goran Strbac – UK – Session 4 – 0710
Benefits of Advanced Smart Metering for Demand Response
based Control in UK Distribution Networks
Frankfurt (Germany), 6-9 June 2011
Background UK response to climate change challenge
Significant increase in contribution from renewables (2020) Decarbonisation of electricity system by 2030 Increasing electricity demand through electrification of heat
and transport demand Energy efficiency, demand response, smart metering rollout
Objectives and scope Quantify the impact of the integration of transport and heat
sectors on the UK electricity distribution network investment Evaluate required investment under BaU and Smart Management
scenarios
Inform UK debate on smart metering functionality
Frankfurt (Germany), 6-9 June 2011
Penetration scenarios for EVs and HPs
0
10
20
30
40
50
60
70
80
90
100
Pene
trati
on le
vels
(%)
Year
SCEN 10%
SCEN 25%
SCEN 50%
SCEN 75%
SCEN 100%
Frankfurt (Germany), 6-9 June 2011
National level analysis – Electrifying heat and transport sectors
117 GW
0
20
40
60
80
100
120
00:0
001
:00
02:0
003
:00
04:0
005
:00
06:0
007
:00
08:0
009
:00
10:0
011
:00
12:0
013
:00
14:0
015
:00
16:0
017
:00
18:0
019
:00
20:0
021
:00
22:0
023
:00
Dem
and
(GW
)
Time
Non-optimised EV and HP operation
EV charging
HP demand
Original demand
78 GW
0
20
40
60
80
100
120
00:0
001
:00
02:0
003
:00
04:0
005
:00
06:0
007
:00
08:0
009
:00
10:0
011
:00
12:0
013
:00
14:0
015
:00
16:0
017
:00
18:0
019
:00
20:0
021
:00
22:0
023
:00
Dem
and
(GW
)
Time
Optimised EV and HP operation
EV chargingHP demandOriginal demand
Frankfurt (Germany), 6-9 June 2011
Local level analysis: Impact of commuting driving patterns
0
2
4
6
8
10
12
14
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
Dem
and
(MW
)
Time
EV chargingTotal loadDemand
0
2
4
6
8
10
12
14
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24D
eman
d (M
W)
Time
EV chargingTotal loadDemand
Significant opportunity to optimise charging as EVs will remain stationary over night
Significant correlation in arrivals from work i.e. significant peak load imposed by EV charging
5
Frankfurt (Germany), 6-9 June 2011
Page 6
Rural LV networkLegend
Distribution substationDwelling
LV network
Urban LV network
Urban and rural representative LV networks
Frankfurt (Germany), 6-9 June 2011
Mapping UK LV and HV networksEV & HP uptake levels and network control philosophy
Representative networks
Reinforcement cost
RC 2 … RC 8
UK Distribution Network Reinforcement Cost
…
RC 3 RC 7RC 1
Frankfurt (Germany), 6-9 June 2011
LV network overloads
0%
10%20%30%40%50%
60%70%80%90%
100%
25% 50% 75% 100%
% o
f ove
rloa
ded
dist
ribu
tion
tran
sfor
mer
s
Combined EV and HP penetration levels
BaUSmart
0%10%20%30%40%50%60%70%80%90%
100%
25% 50% 75% 100%% o
f rei
nfor
ced
LV fe
eder
leng
th
Combined EV and HP penetration levels
BaUSmart
% of overloaded LV cable length
% of overloaded D transformers
Frankfurt (Germany), 6-9 June 2011
Impact of EVs and HPs on the UK Distribution
% of Transport and Heat Electrified
9
Frankfurt (Germany), 6-9 June 2011
10
Optimal EV response to electricity prices
70.6 GW
0
10
20
30
40
50
60
70
80
00
:00
01
:00
02
:00
03
:00
04
:00
05
:00
06
:00
07
:00
08
:00
09
:00
10
:00
11
:00
12
:00
13
:00
14
:00
15
:00
16
:00
17
:00
18
:00
19
:00
20
:00
21
:00
22
:00
23
:00
De
ma
nd
(G
W)
Time (h)
Optimised EV operation with wind increase during system peak
EV charging
Original demand
Wind
Price-based wind following may increase peak demand and overload distribution networks
Frankfurt (Germany), 6-9 June 2011
Paradigm shift from passive to active network management necessary to avoid massive distribution network reinforcement Estimated benefits of Smart Metering due to reduced
investment in distribution networks are between £0.5bn and £10bn
Benefits of additional functionality of Smart metering potentially very significant
Continuing with asset based business model? There could be conflicts between energy supply and
network business objectives; Distribution System Operator function needed?
Observations
Frankfurt (Germany), 6-9 June 2011
Chin Kim Gan, Marko Aunedi, Valdimir Stanojevic, Strbac Goran, (Imperial College)
Dave Openshaw (UK Power Networks)
Goran Strbac – UK – Session 4 – 0710
Benefits of Advanced Smart Metering for Demand Response
based Control in UK Distribution Networks