Transcript Presentation for Promise of Smart Grid

“Leveraging Smart Grid Technologies for
a Stronger Distribution ”
Ahmedabad – April 2012
Vikram Gandotra
Siemens Ltd, Gurgaon
© Siemens AG 2008
Energy Sector
Smart Grid Consulting creates answers
Where to start ?
 Which strategies?
 Where to invest ?
 Which are the right steps ?
 Which technologies ?
 How to measure success?
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Jul-15
Energy Automation
© Siemens AG 2012
Infrastructure & Cities Sector
The Siemens Smart Grid Compass creates a
framework for implementation of smart grids
How can I improve network
operations through the use
of smart grid technologies?
How can I improve customer
service through the use of
smart grid technologies?
Smart
Network
Operations
Smart
Customer
Service
Smart
Organisation
How can I build and operate
a network that enables and
leverages new smart grid
resources (e.g. DG, storage
etc.)?
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Smart
Energy
Smart
Asset and Work
Management
Energy Automation
How do I need to be
organised?
How can I improve the
way I manage assets and
work through the use of
smart grid technologies?
© Siemens AG 2012
Infrastructure & Cities Sector
Study of Networks - Planning
Short
term
Data
collection
Medium
term
Actual
System
weak
points
Long
term
next year
concept
3-5 year
concept
long term
concept
Not just historical trends but also consider :• Macro Economic factors
• Demographic/ Social factors
• Technology trends
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Energy Automation
© Siemens AG 2012
Infrastructure & Cities Sector
Planning steps for network development
 Load development
 Power flow and short circuit
 for normal operation / for contingencies
 System dynamics, voltage stability, load
rejection
 Insulation co-ordination
 Protection concept and settings
 Reactive power management
 Supply reliability
 Economical steps of network development
 Standard network components
 Supply restoration strategies
 System automation
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Jul-15
Energy Automation
N-1,
N-1, Normal
outages
N-1, outages
outages
Normal operation
Sum
Normal operation
Load
flow
Sum Wint
operation
mer
Night
Summer
Load
flow
Wint
Load
flow
er
mer
Day
flow
WinterLoad
Night
Load
flowerflow
Load
flow
Load
Day
Night
Load
flow
Load flow
Day flow
LoadLoad
flow
Power flow
Single
SingleThree
phase
SingleThree
Load Min
flow
phasephase
Load
flow
phasephase Load
Three
Max
Min flow
Load
flow
Short
Circuit
Max
Load
flow
phase
Min
Short
MaxCircuit
Load
flow
© Siemens AG
2012
Short Circuit
Load
development
Variants
Infrastructure & Cities Sector
Network Structure Development
Analysis of Situation
Load density
Load density
Load development
Power flow
Load
Years
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Energy Automation
© Siemens AG 2012
Infrastructure & Cities Sector
Network Structure Development
Proposal
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132
kV
!
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Optimised power flow
Existing structure
Proposed future structure
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Energy Automation
© Siemens AG 2012
Infrastructure & Cities Sector
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Jul-15
Energy Automation
© Siemens AG 2012
Infrastructure & Cities Sector
Development of a long-term network strategy for
an Indian city using “Greenfield” approach
As-Is Analysis
 Voltage levels:
33 kV sub-transmission network
11 kV distribution network
 Meshed network
operated with open rings
 Overloaded receiving substations
 Overloaded Feeders
 (n-1)-criterion partly violated
 Long feeders
 Voltage drops
 Losses
 Huge number of equipment
Future Demands
 High load increase
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Energy Automation
© Siemens AG 2012
Infrastructure & Cities Sector
Results
 Losses
 Reduction of losses even for higher
load levels
 Cost-Benefit
related Power Losses [%]
2,5
 Comparison of the investment for
necessary network improvement
and network restructuring
As is
2
Option 1
Option 2
1,5
Option 7
1
0,5
0
Pilot Area
Cost Benefit 220/33/11 kV
4,000
Costs
3,000
2,000
1,000
 ROI in less than three years
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Jul-15
Energy Automation
0
0
2
4
6
Years
8
10
12
Invest+Losses
Invest+Losses
Invest+Improvement+Losses
Invest+Improvement+Losses
© Siemens AG 2012
Infrastructure & Cities Sector
Integration of Meter Data into the Planning and
Operation Process
Spectrum
Power®
Network
Operation
System
PSS®
SINCAL
Network
Planning
System
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EnergyIP
Meter Data
Management
Energy Automation
© Siemens AG 2012
Infrastructure & Cities Sector
Renewable integration- improved visualisation
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Jul-15
Energy Automation
© Siemens AG 2012
Infrastructure & Cities Sector
Substation automation
From
To
Complex, personal
intensive engineering and
operating
Smart substation automation
What’s necessary?
 Standard intelligent process interfaces
(Process bus IEC 61850)
 Standard communication and processes inside the
station and among stations (horizontal and vertical
integration)
 Digital system, online information, and intelligent
applications
 Digital protection devices and components for online
network analyses
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Jul-15
Energy Automation
© Siemens AG 2012
Infrastructure & Cities Sector
Substation automation characteristics
Today’s standard
 Partly digital system,
RTU, and SAS
 Heterogenous
communication
systems and
protocols
 Few functionality and
automation
 Hardware oriented
Evolution
 Persistent digital
automation
 Standardization
 Totally integrated
energy automation
(engineering,
communication,
security)
Smart Grid
smart substation
 Plug & play approach
 Self-healing
automation functions
 Intelligent applications
 Online information
(operational and
non-op.)
 Basic solutions and
applications
engineering
 Reactive information
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Energy Automation
© Siemens AG 2012
Infrastructure & Cities Sector
Substation automation: typical configuration
Vendor-independent device integration via IEC 61850 process bus
Control center
To be harmonized with CIM
IEC 61970*
IEC 61850
IEC 61850
Firewall
Communication to
other substatons*
Router
IEC61850 station bus
IED
IED
IEC 61850 (Ethernet)
Protection & Control
IEC61850 process bus
Merging
unit
Digital instrument
transformer
data via IEC61850-9-2
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Jul-15
CT
VT
Energy Automation
CBC
x
Circuit
breaker
controller
*in standardizationwork
© Siemens AG 2012
Infrastructure & Cities Sector
Condition monitoring and asset management
From
To
Primary equipment condition not well known
and not integrated in overall grid asset
management strategy
Profit as
business
model
Transmission
bottlenecks
Regulatory &
transparency
requirements
Aging
infrastructure
Decreasing
revenue
stream
Extreme
pressure on
costs
Current transmission and
distribution situation
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Condition monitoring for better asset performance
and grid asset management for advanced asset
management
ISCM – Integrated Substation Condition
Monitoring
 Information on the ageing or health
condition
of primary devices in operation
 Provided by special sensors and/or derived
from data typically available
 Using your familiar RTU, communication,
and HMI structure
Energy Automation
© Siemens AG 2012
Infrastructure & Cities Sector
Ongoing in-depth analyses of asset condition
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Jul-15
Energy Automation
© Siemens AG 2012
Infrastructure & Cities Sector
Why condition monitoring?
 Cutbacks on expenditure
 Retirements
 Downsizing
Loss of expertise
 Postponed invest in T&D infrastructure
 Extended component lifetime
Ageing equipment
 Renewable energy transmission
 Increasing energy demand
Higher loads
 Penalties
Increasing performance targets
Condition monitoring:
1. enables effective prediction and, thus, failure avoidance
2. offers a possibility for safe use of assets at higher loads and, therefore,
supports both asset management and operation
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Jul-15
Energy Automation
© Siemens AG 2012
Infrastructure & Cities Sector
Distributed energy resources and storage
From
To
Central generation,
decentralized consumption
Integration of distributed energy resources
(DER) and storage by virtual power plants
Virtual power plants – main features:
 Energy management system for monitoring,
planning, and optimization of DER
 Forecasting system for load and generation of
wind power and photovoltaic plants
 Energy data management for collection and
retrieval of required information, e.g., loads,
contractual data
 Front-end for communication with distributed
power units
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Jul-15
Energy Automation
© Siemens AG 2012
Infrastructure & Cities Sector
The DEMS® solution
Distributed Energy Management System provides …
 Energy forecasts
 Forecast of renewable production
 Cost-optimal planning and management of distributed generation
 Consideration of topological restrictions in the grid management
 Analysis and assessment of individual energy purchase and sales contracts
DEMS (Decentralized Energy Management System)
Energy forecast
Forecast of regenerative production
Page 21
SCADA
(Supervisory Control
and
Data Acquisition)
Production optimization
Process coupling
Demand optimization
Communication
Jul-15
Energy Automation
User interface
Reports
Storage
© Siemens AG 2012
Infrastructure & Cities Sector
Distribution automation
From
To
Manual and operating experience based
reaction on critical situations
Smart, self-healing grid
What’s necessary?
 Provide a base function for smart gird monitoring unit,
section analyzer, RTU, recloser controller, PMU, etc.
with ring main unit and pole top systems.
 Minimization of outages by
 self-healing functions
 maximized selectivity
 expert systems for fault isolation and service restoration
 outage management
 network analysis, enterprise integration (GIS etc.)
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Jul-15
Energy Automation
© Siemens AG 2012
Infrastructure & Cities Sector
Distribution automation in practice:
Reference examples
RMU-automation
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Jul-15
Pole top automation
Energy Automation
DA and metering
© Siemens AG 2012
Infrastructure & Cities Sector
Medium-Voltage Gas Insulated Switchgear & RMUs
Primary distribution
8DAB10
G
NXPLUSC
Medium voltage up to 40.5kV
up to 40kA (3s)
x
Gas Insulated Switchgear
8FB20
x
x
x
x
x
Medium voltage up to 12kV
up to 20kA /3s
Ring Main Unit
Compact Sub-stations
x
8DJH ST
x
Secondary distribution
x
x
Distribution level
Low voltage < 1kV
Page 24
Aug-2009
Jul-15
EEnergy
D MV 2Automation
© Siemens AG 2012
Infrastructure & Cities Sector
Distribution Automation –
Solutions for distribution networks
Spectrum Power –
selected features and functions:
 SCADA, Outage Management
and Network Analysis for an
integrated network operation
 Expert system for fault isolation
and service restoration
 Integrated operation with Mobile
Workforce
 Enterprise integration (GIS,
MDM, CIS, AMS, etc.)
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Jul-15
Energy Automation
© Siemens AG 2012
Infrastructure & Cities Sector
Singapore’s Network Performance
Scada and closed
ring operation of
22kV network
Condition Monitoring
CCK
Continual Improvement in SAIDI
For more details :- [email protected]
Page 27
Jul-15
Energy Automation
© Siemens AG 2012
Infrastructure & Cities Sector
Distribution Networks & Distributed Energy Resources
Drivers in Europe
110 kV
Bidirectional
power flow
Unidirectional
power flow
Generation/
Consumption
at LV level
0.4 kV
Simple
distribution
transformer
Tomorrow
Today
20 kV
Generation
at MV level
Intelligent
meters
Energy
Storage
 Meshed system
 Adaptive protection
 High automation degree
 Bidirectional communication
 Radial system
 Simple protection
 Simple or no automation
 Simple or no communication
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Jul-15
e-car
infrastructure
Tap changer
distribution
transformer
Energy Automation
© Siemens AG 2012
Infrastructure & Cities Sector
Design of an Intelligent Transformer Substation
Communication RTU – Control Level
Possible customer strategies:
Interface
switchgear/RTU
RK 1
RK 2
Trafo
A) Only indications, for example, Short-circuit indicator
B) Indication + remote control
C) Indication + remote control + load management
Wireless (GSM / GPRS)
IEC 60870-5-101/104
Distribution
Management System
Spectrum Power
RTU *
Telephone connection
(analog/ISDN)
Ethernet TCP/IP
IEC 60870-5-101/104
IEC 61850*
IEC 60 870-5-101/104
IEC 61850
Siemens RMU 8DJH
 Optimally prepared for telecontrol
 Retrofit easily possible
Energy storage
(battery or
capacitors)
Siemens
SICAM
Telecontrol node/
Substation Automation
SICAM
* in preparation IEC working group 17
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Jul-15
Energy Automation
© Siemens AG 2012
Infrastructure & Cities Sector
Today's Economical Compromise
“3-Points” Automation as an Interims Step
Network
control
center
110 kV
UW1
20 kV
IEC 60870-5
- 104
- 103
- 104/101
“Control
center"
Siemens
Areva
- 104/101
Network
connection
point
7
Driescher
PV
110 kV
UW2
20 kV
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Jul-15
Energy Automation
VIP customer
© Siemens AG 2012
Infrastructure & Cities Sector
Upcoming Communication Systems
Introduce New and Cost-Efficient Possibilities
Spectrum Power
DSCADA/DMS
Energy Management System
DEMS
Fiber Optic Network
20kV
SICAM 1703
Substation
Automation
SICAM PAS
1
1
WiMAX
BPL*
Smart IED
Feeder Automation
AMIS
Electronic
Meter
1
0.4 kV
SICAM
1
Dezentralized Energy Infeed
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Jul-15
* Broad Band Power Line
Energy Automation
© Siemens AG 2012
Infrastructure & Cities Sector
Secondary Transformer Substations:
The Key Positions in the Network
Functions of SICAM 1703
Smart IED, resp. AMIS DC
SICAM 1703 Smart IED,
resp. AMIS DC
Feeder Automation
incl. Load Management
Low-voltage (LV)
management
1





LV monitoring
Integration of meter data
LV cable protection
Power-quality monitoring
Reactive power /
harmonics compensation
 Transformer regulation on
secondary side
 Coordination of infeed
and load
Existing components
Page 32
Functions of SICAM 1703
Smart IED, resp. AMIS DC
Jul-15
1
Distribution-system
management
2
2
AMIS
electr. meter
Design V4
variable
secondary system
distribution transformer
Components under development
Energy Automation
8DJH
MV switchgear
Current and
voltage
sensors or
signal amplifiers
1
 Remote control/monitoring
of secondary transformer
substations
 Automatic restoration of
Power-supply
 Data source for MV
monitoring
 Coordination of infeed
and load
 Communication manager
(peer-to-peer)
2
© Siemens AG 2012
Infrastructure & Cities Sector
Actual examples
With Different Smart IED Approach
2
3
5 4
1
2
3
5
1
4
Order with integrated RTU for ENSO:
1 Smart IED Sicam
2 Lead gel battery
3 Power-supply unit for battery
4 MCB
5 Modem
Page 33
Jul-15
Energy Automation
Order with separate RTU box for e.on and envia M:
1 RTU Sicam
2
3
4
5
Wireless modem
UPS with Power-supply unit + battery
MCB
Local-remote switch
© Siemens AG 2012
Infrastructure & Cities Sector
Demand response
Business models in relation to market players
Trigger
Market player aggregator
Energy producers
HV
TSOs
DR
aggregation
Energy
markets
3b
Unusual
high energy
demand
Markets "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 aggregator
Has bilateral agreement with utility; has users
under contract, enrolls and enables them on
own costs;
 paid by utility per MW of curtailable load
provided
3a
Suppliers
$$
DR setup
DR service company
Provides DR value adding services such as DR
marketing support, user enrolment, site
enablement and operations;
 paid for services and SW licenses
2
MV
DSOs
1
$$
Offer DRMS; optionally site gateways /
thermostats and IT integration services;
 paid for SW licenses
Energy consumers
LV
Technical
viewpoint
Page 34
Technology provider
Jul-15
Commercial
viewpoint
Energy Automation
Physical
energy
Payment for supply of
(negative) energy
© Siemens AG 2012
Infrastructure & Cities Sector
© Siemens AG 2008. All rights reserved
Thank You
Questions ?
[email protected]
Page 35
Jul-15
Energy Automation
© Siemens AG 2012
Infrastructure & Cities Sector