siemens smart grid solutions for a sustainable future · 2012 2016 2020 losses % target set by...
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Page 1
Adding intelligence to grids
Siemens Smart Grid solutions for a sustainable future
New Opportunities and Challenges..
Page 2
Siemens has a long tradition in gridautomation, but new things are happening …
Page 3
Jakarta 1975—4.8 Mio Delhi 1972—4.4 MioJakarta 1975—4.8 Mio Delhi 1972—4.4 Mio
Massive growth potential driven by urbanizationUrban Population is growing by 2 citizen per second
Source: Deutsches Zentrum für Luft- und Raumfahrt, UN World Urbanization Prospects: The 2009 Revision
Jakarta 1990—8.2 Mio Delhi 1988—9.7 MioJakarta 2000—8.4 Mio Delhi 2000—15.7 MioJakarta 2010—9.2 Mio Delhi 2010—22.2 Mio
Challenges to meet Demand
Page 4
Solar power in various forms is representative of a worldwide push into renewables
Les Mées, France Lebrija, Spain
Rural Germany
Page 5
Weekly burden of a transformer station in the rural area the LEW-Verteilnetz GmbH – 2003 and today
Load in kW
200
100
0
-100
-200
-300
12:00 0:00 0:00 0:00 0:00 0:00 0:00 0:0012:00 12:00 12:00 12:00 12:00 12:00 12:00
Load profile 2003
Load profile today
Source: LEW
Changing infeed patterns challenge existing grid infrastructures
Page 6
Network losses in % per region The Non Technical Loss (NTL) business case for DSO is driven by regulation in Brazil
Main Brazilian Distribution System Operators forfeit 5.8 % of the energy due to non technical losses
Regulator ANEEL established
new regulation on network
efficiency and demands 30%
NTL reduction every 4 years.
Brazilian Energy distribution
network suffers non-technical
losses (NTL) of 23 TWh p.a. (5.8
% of total generation)
€ 1’’ p.a. lost revenue to the
DSOs accrues.
2012 20202016
Lo
sse
s %
Target set by Regulator
Example of reduction of NTL
Savings for DSO
Losses for DSO
18% 5%
22% 20%
21% 9%
21% 10%
12% 3%
Distribution Losses
Non-technicalLosses
AT&C loss in India at national level reduced from 38.86% in 2001-02 to 27.15% during 2009-10.
Page 7
Ageing distribution infrastructure is seriously endangering security of supply
Page 8
Hurricane Sandy left 7.5 million persons without power
Intelligence in the grids is helping reduce the outage times by helping crews to locate and fix the problems faster than before
Page 9
Smart Grid offers solutions
Renewable and distributed generation
Aging and/or weak infrastructure
Cost and emissions of energy supply
Revenue losses, e.g. non-technical losses
Limited generation and grid capacity
Balancing generation & demand, new business models
Reliability through auto-matic outage prevention and restoration
Efficient generation, transmission, distribution & consumption
Full transparency on distribution level and automated loss prevention
Load management & peak avoidance
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Challenges in changing energy system
Changing energy system requires new solutions
Page 10
There is not one global Smart GridRegional drivers are different: some examples
Aging infrastructureNon-technical lossesRenewables IntegrationElectrification of MegacitiesDistributed Generation
Page 11
Microgrid / Virtual power
plant
Demand Response
Energy Automation Portfolio
Control center technology
Substation automation
Protection technology
Grid quality System solutions ENEAS
Page 12
IEC
619
70
IEC
618
50
Smart Solutions
� ISCM
� EMS
� ILMS
� Demand Response System
� Outage Mangement System
� Renewable energy Integration
Communicationsand networking
� PowerLink PLC / DLC
� Modems
� AMIS
Tools
� PowerCC IMM / Graphical Designer
� SICAM PAS UI / GraphicalDesigner
� TOOLBOX II
� DIGSI
Control centers
� PowerCC
� Power 4
Station automation
� SICAM PAS
� SICAM 1703 / SICAM 230
RTU´s
� SICAM 1703
� FRTU 6MD25
Protection / power quality / field control stations
� SIPROTEC
� REYROLLE
� SICAM BC 1703 ACP
� SIMEAS
Energy Automation Our solution portfolio
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Absolute security
in any situation
Protection technology
Functio
nalit
y
Amount of process information
SIPROTEC Compact Class
Protection
SIPROTEC Easy
Protection
SIPROTEC 4Protection & Control
Page 14
Power quality detection withSIMEAS and SENTRON
T
R
P
Q
SIMEAS PPower meter for monitoring electrical measurands
SIMEAS Q80Power quality recorder for analysis of grid quality in accordance with EN50160
SIMEAS RFault recorder, power quality recorder, and phasor measurement unit (PMU) in accordance with IEEE C37.118
SENTRON TDigital transducer for electrical measurands
Page 15
Benefits of SICAM Family of Sub-station Automation
•Protection of assets and people•Reduced downtime•Comprehensive plant and system overview•Reduced operation and maintenance costs•Reduced energy cost and optimization of power consumption
ChallengeCost-efficient and functionally comprehensive remote monitoring and control of all plants as well as integration of all elements of substation automation from field level to the control center
Our solutionConsistent, smart, and scalable substation automation for highest reliability and availability
Maximum availability
makes you feel good
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� Spectrum PowerWindows/Linux/ Unix control system for power generation, medium size transmission/distribution networks and industry control centers.
Maximum transparency for the efficient management of complex grids – Intelligent Control Centres
Generation
SCADA
BASE
Customized
Applications
Transmission Trading
Distribution
Page 17
Smart Grid Applications bridges grid intelligence and smart consumption
CommunicationsTechnology
Communicationsconsulting & services
Communications products & solutions
IT Systems Consumer energy
management & monitoring systems
Utility business systems
UtilityOperational IT
Microgrid Solutions
Consulting
Demand Response
Smart Charging
Smart Grid Applications
Meter Data Management
Build. Autom.
Indust. Autom.
Smart Home
Electric Vehicle
End User Infrastructure
Generation
Transmission
Distribution
Utility Infrastructure
Utilities / ISOsIndustrial / Commercial /
Residential
ensure balance between generation and consumption
Generation Consumption
Generation follows load Load follows generation with intelligent grids
Environmental awareness
Page 18
Smart Grid Consulting creates answers
Where to start ?
� Which strategies?
� Where to invest ?
� Which are the right steps ?
� Which technologies ?
� How to measure success?
Page 19
Home automation network allow consumers to make choices around consumption
Gas, electricity and water
Communications
Internet energy information services
Smart Metering back officeMeter data management (MDM)
Interfaces to the Enterprise
In home energy controls
The complete smart metering/MDM solution
How it works
Page 20
Buildings Don‘t Use Less Energy, But They Use It at Different Times
t
BaseSupply
RenewableSupply
ElectricitySupply
BuildingConsumptionBuilding Storage Capacity:
�E-Car�Thermal buffer�Water tank�etc.
kWh
Page 21
Demand responseBusiness models in relation to market players
TSOs
DR setup
DR aggregation
DSOs
Energymarkets
Suppliers
Technical viewpoint Payment for supply of
(negative) energy
Trigger
Unusual high energy demand
Market player aggregatorMarkets "Nega-Watts" capacity on the open energy market; has user under contract, enrolls and enables them on own cost� paid for capacity trade on open energy markets
Bilateral aggregatorHas bilateral agreement with utility; has users under contract, enrolls and enables them on own costs;� paid by utility per MW of curtailable load provided
DR service companyProvides DR value adding services such as DR marketing support, user enrolment, site enablement and operations; � paid for services and SW licenses
Technology providerOffer DRMS; optionally site gateways / thermostats and IT integration services; � paid for SW licenses
3a
2
3b
1
Energy producers
Energy consumers
Commercial viewpoint Physical
energy
HV
MV
LV
$$
$$
Page 22
A Look at the Indian Scenario
592 613 632672
717 734779
0
100
200
300
400
500
600
700
800
KWh
2003-04 2004-05 2005-06 2006-07 2007-08 2008-09 2009-10
Per Capita Electricity Consumption (KWh) in India
Per Capita Electricity Consumption (KWh) in 2010
3213
12607
10441
6648
2568
779
0
2000
4000
6000
8000
10000
12000
14000
World US Australia Germany China India
KW
h
Source : IEA/CEA/CIA World Fact book 2010
Per Capita Electricity Consumption will k
eep
growing in India in times to come
Page 23
0
100000
200000
300000
400000
500000
600000
700000
800000
1989-90 1991-92 1996-97 2001-02 2006-07 2007-08 2008-09 2009-10 2010-11
GW
h
Other MiSc.
Agriculture
Traction
Industrial
Commercial
Domestic
A look at the Indian LoadsFlexibility of Energy Use : a key issue
9097
105 113 122 131142
153
0
20
40
60
80
100
120
140
160
Pe
ak
De
ma
nd
in
G
w
20
04
-
20
05
-
20
06
-
20
07
-
20
08
-
20
09
-
20
10
-
20
11
- 4%
45%
9%
22%
18%
2%
+Indus.
Dom.
++
Increasing renewable generation
Increasing Annual ConsumptionIncreasing Consumption Peaks
New Consumptions
Flexibility in generation Constraints in networks Need for generalized intelligent & flexible consumptionA major goal for Smart grids, smart homes, Smart Appliances, Smart Consumption
Annual Consumption 2010-11
+73%
+88%
+47%
+43%
Page 24
Market Trends Scenario – New Control Centers ordered - POWER UTILITIES
9
1 0
6
3
19
43 2
12
35
49
0
10
20
30
40
50
60
FY02 FY03 FY04 FY05 FY06 FY07 FY08 FY09 FY10 FY11 FY12 FY13
No of Control Center
Both Opportunities & Challenge for Capacity Building for vendors and also Utilities in order to be successful with minimum risks
Page 25
The following functionalities have been proposed in 14 pilot proThe following functionalities have been proposed in 14 pilot projects in Distributionjects in Distribution
Sr. No.Sr. No. FunctionalityFunctionality ObjectiveObjective
11 Residential AMIResidential AMI Demand Response, Reduced AT&CDemand Response, Reduced AT&C
22 Industrial AMIIndustrial AMI Demand Side Management, Reduced AT&CDemand Side Management, Reduced AT&C
33 Outage ManagementOutage Management Improving availability and reliability, Proactive maintenanceImproving availability and reliability, Proactive maintenance
44 Peak Load ManagementPeak Load Management Optimal resource utilization, Distribution capacity Optimal resource utilization, Distribution capacity
enhancement, Load curtailmentenhancement, Load curtailment
55 Power Quality Power Quality
ManagementManagement
Voltage Control, Reduced losses and failures, Decrease in Voltage Control, Reduced losses and failures, Decrease in
reactive power and harmonicsreactive power and harmonics
66 Micro GridMicro Grid Improved Power Access in rural areas, Renewable Improved Power Access in rural areas, Renewable
Integration, Reduced carbon emissionsIntegration, Reduced carbon emissions
77 Distributed GenerationDistributed Generation Improved Power Access in rural areas, Sustainable Growth, Improved Power Access in rural areas, Sustainable Growth,
New technology implementationNew technology implementation
88 Combined Functionality as Combined Functionality as
at 1,2,4,5 aboveat 1,2,4,5 above
Pilot Projects in Distribution
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Some Suggestions for Indian conditions
• Develop institutions / think tanks for providing guidance for policy development
• Identify problems of Utilities and look for their solutions
• Practical & workable solutions for Indian conditions
• Modernise the electrical network to make it suitable for remote monitoring and control
• Review the timelines to be more realistic
• Cash flow to be made more balanced for sustenance
• Regulators to be made aware of the benefits and preconditions for Smart Grids e.g ToU tariff,etc
• Capacity building of utilities to enable their motivation & readiness to embrace new technologies
Page 27
Questions ??
vikram.gandotra@siemens.com
+91 9811110288
Siemens is the enabler of the new “age of electricity” – with real solutions today for the Smart
Grid and cities of tomorrow
Thank you for your attention
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