Transcript
AREVA T&D Tech Day
Smart Grid vision
Kolkatta, April 2009
Jean-Louis COULLON
EMS/DMS Operations Director
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Why the Smart Grid Revolution?
Running today's digital society through yesterday's grid is like running the Internet
through an old telephone switchboard
Running today's digital society through yesterday's grid is like running the Internet
through an old telephone switchboard
’’’’‘‘‘‘
Reid DetchonReid Detchon
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Agenda
1. Smart Grid: Global vision
2. Smart Grid: an AREVA program
3. AREVA T&D AUTOMATION: Network Management Solutions for Smarter Grids
4. Questions
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Energy Actors are facing 4 main challenges…
Fast growing energy needs, especially electricity
Race for a low carbon energy mix
High constraints on primary sources
More Stress on large regional transmission networks
Fast growing energy needs, especially electricity
Race for a low carbon energy mix
High constraints on primary sources
More Stress on large regional transmission networks
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The network complexity increases
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Growing Needs: A real Challenge ahead in India
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Reliability and quality of Supply Ensure security of supply, and quality of the electricity delivered
Stability and Security of the Network Monitor oscillations and manage the network to prevent blackouts
and maximize availability of power
Environmental concerns Provide clean energy (CO2 free) and reduce environmental impact
Energy efficiency Deliver the maximum of electricity to the end-user, starting from a
given quantity of energy and from existing assets
Market efficiency Set up tools and processes to fully enable energy markets Enable customers / end-users dynamic participation
The network must be smarter with more intelligence at all levels
… that strongly reinforce existing needs
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New technologies capabilities
New technologies capabilities
Energy policies / Regulatory pushEnergy policies / Regulatory push
New technologies & push from regulators create a favorable context for network evolution…
Smart Grid enablers
Examples:
Power Electronics
Telecommunications down to LV/Homes
Home and Network Automation
Examples:
Renewables targets and tariffs
Allow LV customers to sell
Enable CSPs to bid in Electrical Markets
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Connected Home
Smart appliances
Smart thermostats
Energy box
End-User perspective: New consumption modes
CPPResidential
Single FamilyMulti Family
Residential
Single FamilyMulti Family
PTR
Rates & Rebates
Residential
Single FamilyMulti Family
Residential
Single FamilyMulti Family
TOU RatesResidential
Single FamilyMulti Family
Residential
Single FamilyMulti Family
Small Commercial
1 kW – 20 kW
Small Commercial
1 kW – 20 kW
Small Commercial
1 kW – 20 kW
Medium Commercial
20 kW – 200 kW
Medium Commercial
20 kW – 200 kW
Source: Southern California Edison (modified)
Notes:- CPP: Critical Peak Pricing- PTR: Peak Time Rebate- TOU: Time of Use
Notes:- CPP: Critical Peak Pricing- PTR: Peak Time Rebate- TOU: Time of Use
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Plug-in Electric Vehicles
Distributed Generation
(Residential)
Customer Home Energy Storage
Connected Home
New Consumption/Generation/Storage modes (longer term)
Source: Southern California Edison (modified)
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Wind Farms
Central power plantFuel Cells
Industrial Plants CHP
Residential Areas
Department Stores, offices
Micro-turbines
StorageVirtual Power Plant
Decentralized generation Central generation Consumption
Power Flows
…towards a dynamic and bidirectional flow of energy and data impacting all T&D businesses
New T&D Products for enhanced transmission (UHV, HVDC), remotely-monitored Distribution, faster fault resolution and using greener technologies (e.g., low-loss/noise transformers)
New Power System designs with various Power Electronics solutions to optimize efficiency and stability
Automation: New network management applications and real time automation solutions for smart and secure operation of energy, assets and markets
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Areva’s Smart Grid Vision
Blackout preventionBlackout prevention
CO2 free energy sources integration
CO2 free energy sources integration
Transmission optimization
Transmission optimization
Distribution optimization
Distribution optimization
New consumption modes integration and
management
New consumption modes integration and
management
A
B
C
D
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• Nuclear• Centralized / Decentralized
Renewables• Micro–renewables• Energy storage
• Infrastructure (incl. long distance, both energy & communication)
• Network management
• Infrastructure ( to enable bi-directional power flows, communication)
• Network management
• Smart appliances & buildings• Electric cars• µ-production and µ-grid• Deregulated environment
Reliability and quality
Market efficiency
Environmental concerns
Energy and economic efficiency
New technologies capabilities
Energy policies / Regulatory push
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Enablers
Smart Grid Objectives
• Defense plan• React in real-time• Online Stability• Closed Loop Control
Customers needs
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Agenda
1. Smart Grid: Global vision
2. Smart Grid: an AREVA program
3. AREVA T&D AUTOMATION: Network Management Solutions for Smarter Grids
4. Questions
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How Smart Grid solutions can answer customers’ needs
Reliability and quality
Reliability and quality
Environmental concerns
Environmental concerns
Energy efficiency
Energy efficiency Market efficiencyMarket efficiency
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Nuclear (Flexible, small-scale reactors)
Renewable (wind/solar, wave/sea current, ..)
Storage
Smart Grid offersSmart Grid offers
Network design and consulting
FACTS (MV, HV)
HVDC and MVDC
Black-out mitigation
SG-ready Products (fast switch, phase shifters,…)
EF1) products (low loss transformers, oil…)
Smarter Dispatch and Demand Response
Integrated Distribution Mgt System (IDMS)
Distributed Energy Resources (DER) and Microgrid
Advanced Metering Infrastructure (AMI)
Home Automation Network (HAN)
Electric Vehicle
1) EF: Environment-Friendly
StabilityStability
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Products / Examples
Phase shifting transformer
Reducing bottlenecks in T&D networks
Phase shifting transformer
Reducing bottlenecks in T&D networks
Fast switching
Clearing fault current before reaching peak value
Fast switching
Clearing fault current before reaching peak value
Predictive maintenance
Fully enabling online monitoring of key equipment parameters at the substation
Predictive maintenance
Fully enabling online monitoring of key equipment parameters at the substation
Low loss DIST transformer
Reducing power losses through optimized design
Low loss DIST transformer
Reducing power losses through optimized design
Available 2012
Available 2012
Available 2009
Available 2009
Available 2010
Available 2010
Availablenow
Availablenow
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FACTS devices – full range
Improving network stability and reliability
FACTS devices – full range
Improving network stability and reliability
Systems / Examples
Series compensation
Improving power transmission capability
Series compensation
Improving power transmission capability
Network Studies capacity
Modeling Smart Grids
Network Studies capacity
Modeling Smart Grids
MVDC solution
Permitting a safe interconnection of MV networks
MVDC solution
Permitting a safe interconnection of MV networks
(f ile jebel-back.pl4; x-var t) v:BUSH.
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150
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(f ile jebel-back.pl4; x-var t) v:BUSH.
0 10 20 30 40 50 60 70 80[us]-300
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DC transmissionline
Q1 Q2P
VSC VSC
Station 1 Station 2
UC1 UC2
IC1
Network1
Network2
DC transmissionline
Q1 Q2P
VSC VSC
Station 1 Station 2
UC1 UC2
IC1
Network1
Network2
MSCMSR
SC PST
STATCOM / D-STATCOM
TCSCSVC DVR / SSSC
SR
Available now
Available now
Available 2010
Available 2010
Available 2012
Available 2012
Available2009-2012Available2009-2012
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Automation / Examples
On-line stability
Coping with instabilities and preventing black-outs
On-line stability
Coping with instabilities and preventing black-outs
Micro grid – Municipalities
Controlling interconnected distributed generations and loads
Micro grid – Municipalities
Controlling interconnected distributed generations and loads
Distributed Generation Mgt
Managing DG connection to the Grid and enhancing efficiency
Distributed Generation Mgt
Managing DG connection to the Grid and enhancing efficiency
Available now
Available now
Available 2010-2012Available 2010-2012
Available now
Available now
Demand Response
Integrating end-users data to shave consumption peaks
Demand Response
Integrating end-users data to shave consumption peaks
Available2010-2011Available2010-2011
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Agenda
1. Smart Grid: Global vision
2. Smart Grid: an AREVA program
3. AREVA T&D AUTOMATION: Network Management Solutions for Smarter Grids
4. Questions
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Smarter Dispatch Smarter Transmission Smarter Distribution Smarter Substation
Generation Control Application
Load Forecast
Generation Control Application
Load Forecast
Intra-Day Plant Optimization
Perfect Dispatch
Intra-Day Plant Optimization
Perfect Dispatch
On-line Asset ManagementOn-line Asset Management
On-Line StabilityAnalysis
& Defense Plans
On-Line StabilityAnalysis
& Defense Plans
Management of Smart metering (MDM) & Energy
Boxes
Management of Smart metering (MDM) & Energy
Boxes
Integrated Distributed Management Systems (very large networks)
Integrated Distributed Management Systems (very large networks)
Demand Response Management
Market Management
Demand Response Management
Market Management
Asset Management Protection versioning & settings management.
Asset Management Protection versioning & settings management.
Self-adaptive Defense and Stability Plans
Self-adaptive Defense and Stability PlansDemand Response
& Management of Distributed Generation
Demand Response& Management of
Distributed GenerationDistributed Generation
Connections & Micro-grid management
Distributed Generation Connections & Micro-grid
managementNetwork Reliability &Generalized Security
Framework
Network Reliability &Generalized Security
Framework
Advanced Visualization, Situation Awareness & Decision Support ToolsAdvanced Visualization, Situation Awareness & Decision Support Tools
Global System Architecture including Common Information ModelGlobal System Architecture including Common Information Model
Secure, deterministic and reliable Data Communication Network Secure, deterministic and reliable Data Communication Network
Automation Solutions for Smarter Grids
Metering/DR data flow management
Metering/DR data flow management
Distributed / Renewable Management
Distributed / Renewable Management
Generation:
- Distributed Generation - Smart Dispatch
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Ex of Distributed Generation:Supply spread on thousands of units (Wind, CHP, …)
Denmark’s DG is 43% of installed capacity
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Distributed Resource Portfolio Management:Functionality
Impact on Generation, but also Markets, Transmission and Distribution
Manage thousands of Generation units, in aggregated or individual views
Estimate individual generator/turbine output
Upscale from available measurements, based on types & areas
Link to Measurements for Settlement
On request, Agregate Power Injections at substations for realistic HV power flow (real time and study)
Balance Generation Portfolios (for Power Balance Responsible parties)
Integrate Production forecasts (ex Wind) and Look Ahead security Analysis
Include a simulation capability (DTS)
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Smart Dispatch:What it is
Evolution/Revolution of traditional Unit Commitment Scheduling, Economic Dispatch, AGC
Coordinated dispatch and scheduling on multiple horizons (minutes, hours, days)
Manage uncertainties (eg: DER)
More intelligence (Parameter adaptation, Network Security constraints, …)
Evaluate its own performance (« Perfect Dispatch »)
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Smart Dispatch Comparison Summary
Classical Dispatch
Cost-based, centralized generation
Passive, static demand
Inaccurate, fixed parameters
Manual re-dispatch to relieve grid security violations
Ad-hoc forward scheduling disconnected from RT dispatch
Designed for normally inter-connected system operation
Limited forensic analysis
Smart Dispatch
Extension for price-based, distributed, less-predictable resources
Active, dynamic demand
Parameter adaptation
Congestion management with security constrained optimization
Continuum from forward scheduling to real-time dispatch
Extension for dynamic, multi-island operation in emergency & restoration
Perfect-Dispatch for root-cause impacts and process re-engineering
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Smarter DispatchFunctional Description
New generation ofGeneration Control Applications
New generation ofGeneration Control Applications
Security Constraint Economic Dispatch(unit commitment, resource availability, start-up time, economic constraints)
Security Constraint Economic Dispatch(unit commitment, resource availability, start-up time, economic constraints)
COP: Comprehensive Operating PlanCOP: Comprehensive Operating Plan
CurrentOperating Plan
Perfect Dispatch (1)
Perfect Dispatch (n)
Demand Forecast
Transmission
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Security of Transmission :Efficiency and Reliability
WAMS
RAS
Topology Based
Protection Plans
Phasor Measurements
Complex Flows on interconnections
DG & Renewables
Power Electronics (HVDC, FACTS, …)
Oscillations in large interconnected networks
Complex demand
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Smarter Transmission - New EMS Paradigm:Generalized Grid Security Analysis
Generalized Security Analysis
Wide Area Security
Situation Awareness (Visualization)
Steady State Security
Transient Stability
UI Navigation
WAMSAlerts
UI Navigation
PMU &OscillationAnalysis
Real-TimeNetwork
Security Apps
TSAApplications
LocalUI
Measurements-based Apps Network Model-based Apps
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e-terraVision – Visualisation and Situation Awareness
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PMUs in the USA
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Advanced VisualizationWide-Area Monotoring System
(WAMS)PMU phase angle difference
Power System Oscillation presentation
PMU data flow Overview
P847
Phasor Data Concentrator
G G
G
e-terravision
PDC
EMSImproved State Estimation
using PMU data (voltage & current)
Raising transfer levelsAvoiding BlackoutsPower system stabilizer tuningInterconnector CommissioningIdentifying causes of oscillations
P847
P594
P847
OSM Application
e-terratransmission
Smart Distribution:
a deep Transformation impacting Transmission, Generation and Markets
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World-wide utilitiesPrime Focus from 2008 - 2010
7%
11%
22%
31%
33%
40%
42%
47%
No Plans
Other
OMS
GIS
AMI
Distribution Automation
Fault Analysis & Restoration
EMS/SCADA
8%
3%
30%
48%
35%
20%
42%
No Plans
Other
GIS
AMI
Distribution Automation
Fault Analysis & Restoration
EMS/SCADA
North America utilitiesPrime Focus from 2008 - 2010
Investments in Distribution - Newton Evans Report
Smart Distribution
Smart Distribution
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When and Why Invest ?- Utilipoint Smart Distribution Survey
Source: Survey by UtiliPoint
Timeline of investmentsTimeline of investmentsKey reasons to investKey reasons to invest
“How likely is that your utility would make an investment over the following time frames?”
[41 respondents]
From Meter and Billing to Smart Grid
Historically Drivers have focused on productivity improvements in the meter and billing processes.
The data suggests the drivers have shifted to energy conservation and distribution system efficiency
From Meter and Billing to Smart Grid
Historically Drivers have focused on productivity improvements in the meter and billing processes.
The data suggests the drivers have shifted to energy conservation and distribution system efficiency
Note: Direct Load Control (DLC)
5/10 are Load Control
5/10 are Load Control
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Deployments for Electric Utilities in NA / EMEA Deployments for Electric Utilities in NA / EMEA
Some of the top deployments for Smart Metering and Demand Response as of August 6th, 2008.
Example of Smart Meter & Demand Response Initiatives in NA / EuropeExample of Smart Meter & Demand Response Initiatives in NA / Europe
Smart Distribution Smart Metering and Demand Response in action
DR
DR
DR
DR
DR
DR
DR Demand Response
DR
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Paradigm Shift in the value Chain
Transmission Network
Distribution Network
Price ResponseDemand Response
Price ResponseDemand Response
HAN Devices(Active
EngagementOf End Users)
Distributed Generation Portfolio Management
DistributedResourceResponse
Management
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HAN Devices(Active Engagement
Of End Users)
AMI End Point
(Smart Meters)
Distributed Generation
AM
I Co
mm
un
icatio
ns
AM
I Co
mm
un
icatio
ns
MarketManagement
&TSOs
IntegratedDistribution
Grid Management
Smart Distribution – Value Chain Components
DemandResponse
apps
AutomatedMetering
Management
MeterData
WarehouseSettlement
DistributedGeneration
apps
DistributedResourcePortfolio
Management
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A Core Component for Smart Metering projects:AREVA Meter Data Management MDM
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Demand Response: Actors & Data Model
Site 1:
Bluehill Depot
Site 2:
Bluehill North
Light 1 Power 1 Light 2 Power 2
EDC1_BLUEHILL
Electrical DisCo
A.PowerServices
Value CSP
A.Energy
WholeSale LSE
Site 7:
Robinson-Brivin
Light7 Power 7
EDC2_ROBINSON
Electrical DisCo
Customer
Market
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Demand Response:The Scenario of a Curtailment Request
A bid from CSP has been selected by the Energy Market (Day-ahead or Intra-day):
Quantity to be curtailed (MW)
Start Time
Stop Time
Zone
CSP will implement the curtailment request, selecting Loads in his portfolio of Customers under Load Management contract
Upon notification, Customers will: Reduce load
Or/and Start local generation
Controls can be sent via SCADA
AMI
web/phone/SMS
Measurements are collected and prepared for Settlement
forecast
actual
Loadreduction
T Start T Stop
Case Studies
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Examples – Smarter Automation
Microgrid for Industry
Settlement
Customer benefits:
Cheaper solution than the traditional Generator + battery solution
Conformity with the National and EC laws applicable in Medical site
Customer benefits:
Truly scalable architecture to meet growing data volume needs
Fully configurable settlement rules
Main features:
Market monitoring / Settlement: Energy, Ancillary Services, Demand Response, …
Distributed Energy Resources Management
On-line stability
Customer benefits:
Early detection of critical conditions
Integrated and unified Situation-Awareness tool within the Generalized Grid Security Framework
Main features:
Advanced decision support tools to guide operators with re-dispatch actions to alleviate security violations
Customer benefits:
Secured Grid operation
Improved accuracy of DER production estimation & loadflows
Main features:
Estimation of how much generation each turbine produces
Look ahead security & congestion forecast
Main features:
Fast MV loop re-configuration
Islanding
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Phase 3 of adapted APDRPII Program of India:All in !
Micro Grid – 3rd Phase
IT I
nte
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Ap
pli
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n P
latf
orm
Performance vs Business KPIs
Thank You !
Questions ?
top related