Smart Grids, customers at the heart of tomorrows network
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Smart Grids and local generation
Jean-Baptiste Galland, Director Strategy
22nd October 2013 | SFEN - Paris
Generation
Transmission
Distribution
regulated
deregulated
deregulatedSupply
& Trading
> 10 suppliers:
EDF, GDF Suez,
E-on, Poweo, …
RTE
Mainly ERDF
(+ 157 locals)
EDF, GDF Suez,
Direct Energie,
Poweo… (19)
35 000 000 customers
250.000 producers
Contracts with local authorities :
IIII Connect end-users to the network
IIII Design and build electrical distribution
networks
IIII Operate and maintain network
IIII Provide services to customers or
suppliers : meter reading, connection to network..
IIII Control electric flows for the market :
security of supply, losses procurement
France : Electricity market is open since 2007
22nd October 2013 | SFEN - Paris
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Turnover
13,3 Mds€
Investment
3 069 M€
Field interventions
11 millions
Concession contracts
762
1 047 local sites
1.3 million km of LV and MV network
Staff hiring
2145
Outage duration
71 mn
employees
35 711
ERDF 2012
22nd October 2013 | SFEN - Paris
Quality: significant improvement for the last 20 years
30 Control room24/24
Medium voltage 604,000 km(41% underground)
Primary substations (HV/MV)2,200
SAIDI
300
mn
73
mn
105,000 remote controlled devices
The System Average Interruption
Duration Index (SAIDI) is commonly
used as a reliability indicator by electric
power utilities. SAIDI is the average
outage duration for each customer
served, and is calculated as:
SAIDI is measured in units of time, often minutes or
hours. It is usually measured over the course of a year,
and according to IEEE Standard 1366-1998 the median
value for North American utilities is approximately 1.50
hours
105,000 remote controlled devices
22nd October 2013 | SFEN - Paris
KPMG barometer
According to KPMG, France is ranking 1st for quality and availability of
electricity
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Rank Note (100)
continents rank
22nd October 2013 | SFEN - Paris
France Energy mix scenarios – UFE 2011
0,0 GW
10,0 GW
20,0 GW
30,0 GW
40,0 GW
50,0 GW
60,0 GW
70,0 GW
80,0 GW
90,0 GW
100,0 GW
2015 2030 Sc. I
2030 Sc. II
2030 Sc. III
64,7 GW 66,3 GW
40,7 GW
15,7 GW
41,2 GW
70,0 GW
83,0 GW
97,0 GW
21,0 GW 23,0 GW
39,0 GW
59,0 GW
Nucléaire
Renouvelable
Thermique
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A wide range of scenarios (IEA, EC, UFE...)
Relative prices of energy
Electrical energy mix
Gains made by energy efficiency measures
Penetration of new uses
Few certainties
Energy prices will increase
Constant urbanization
Need to reduce CO2 emissions
Increasing share of intermittent renewable energy
France to the year 2030
0 Md€
50 Md€
100 Md€
Isolation tthermique Bâtiments
Changement moteur
industrie
90 Md€
57 Md€
3 Md€30 ans
10 ans 15 ans
Efficacité Energétique
Investissements
Temps de retour Return (years)
Energy Efficiency
Energy Mix UFE scenarios - 2010
Nuclear
Renewable
Thermal
Investment
Thermal insulation of buildings
Low power lighting
Engine change in the industry UFE - 2010
22nd October 2013 | SFEN - Paris
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2020 forecast : 1 million installations
IIII Wind generation mainly connected to the
MV network
IIII PV generation mainly connected to the LV
network
As a whole > 90% connected to distribution
Challenges
IIII Difficulty to forecast the generation
level
IIII Management of bidirectional flows
1st Challenge : Development of intermittency
PV connected to distribution Wind connected to distribution
installations connected at the end of 2012 installations connected at the end of 2012
22nd October 2013 | SFEN - Paris
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2nd Challenge : Amplitude of peak demand
– By 2030 : 4M to 20M EV + HRV
– By 2020, in all the countries the temperature gradient should increase
– 2012 : EC temperature gradient was 5.2 GW
22nd October 2013 | SFEN - Paris
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3rd Challenge : Deployment of consumer flexibility management technologies
‒ By 2020, 80% of EC consumers to be equipped with smart meters
‒ How to create conditions for consumers to embark the action?
22nd October 2013 | SFEN - Paris
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4th Challenge : Communities increased focus on sustainable development
Community expectations
The Energy Territorial Climate Plan (PCET): a sustainable territorial development plan whose primary purpose is the fight against climate change.
22nd October 2013 | SFEN - Paris
By 2020, ERDF will be in position to cope with main technical challenges
Remote meter reading and services
Act remotely through Linky meter
Act quicker on the network Better invest
Balance Generation / Consumption
Linky ConcentratorInformation
System
CUSTOMERS PRODUCERS
detection
diagnosis intervention
Self-healing
III data collection (Linky)
and data analysis
III risk management
III predictive
maintenance
22nd October 2013 | SFEN - Paris
Smart Grid project explore
new interactions between players in
the electrical system and new
business models available ...
... that rely on a distribution network
more observable and controllable ...
... through the deployment of
telecommunications infrastructure
linking all the elements of the
network and information systems
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ERDF Smart Grids project to prepare the future
22nd October 2013 | SFEN - Paris
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15 demonstrators to prepare the industry
22nd October 2013 | SFEN - Paris
Working on a European description of Use Cases
IEC method, enriched by the work
done in M/490 mandate of the
European Commission to describe
each use cases with a common and
shared method.
www.grid4eu.eu 1422nd October 2013 | SFEN - Paris
Smart grid applications can be classified into four groups with different functionalities
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Lesson 1 : Wide range of benefits for the French electrical system. However shared among many stakeholders …
DSOs : performance of MV and LV networks improvement
Customer, supplier: satisfactionenhancement
Asset managementNetworks infrastructure Operations
• Deferred investment
• Peak requirements reduction
• Disruption reduction and
lower cost of management
• Quality of voltage
improvement
• Meter reading cost reduction
• Reduced maintenance costs
• Life enhancement
(solicitation of assets,
preventative maintenance)
• Increased remote actions
• Energy saving offers
• Easier supplier changes
• Reduction of commercial losses
• Reduced ancillary services and system
reserve costs
• Reduction of congestion costs
• Deferred investment in production capacity
to transport
First lessons learnt
Electrical system: performance improvement
22nd October 2013 | SFEN - Paris
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In the absence of regulatory incentives, the split of efforts and benefits of Smart Grids among agents will be highly unbalanced, with consumers getting most of the value
Source : McKinsey & Company
WITHOUT RAB RECOGNITION
▌Active local system management
▌Market enabler
▌Energy data manager
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Lesson 2 : New Business Model for DSOs
First lessons learnt
22nd October 2013 | SFEN - Paris
Thank you for your attention
22nd October 2013 | SFEN - Paris