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—EPCC
MAY 12-15, 2019
REYKJAVIK
Next step towards semi-automated system operations –new functionalities and project implementation aspects
ABB Vendor Panel presentationJacek Bujak and Anders Hellkvist
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Next step towards semi-automated system operations -new functionalitiesJacek Bujak
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—Grid Automation
May 11, 2019 Slide 3
Worldwide presence
ABB
– 132,000 employees
– $34B revenue
ABB Power Grids
– 39,000 employees
– $11B revenue
– 100 countries
ABB Grid Automation
– 6,000 employees
Leading the way within the Power Grids division
Power Grids DivisionRobotics and
MotionIndustrial
AutomationElectrification
Products
ABB
Microgrids and Distributed Generation
Grid Automation Systems and Service
Grid Automation Products
Enterprise Software
Grid Automation Grid IntegrationGrid
SystemsHigh Voltage
ProductsTransformers
Network Control
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Network Manager ADMS enables distribution system operators to operate their network reliably and securely whilst facilitating the increased penetration of DER and demand response
Network Manager EMS enables the operators of transmission networks to run the grid system securely and efficiently.
Network Manager GMS for advanced scheduling, dispatch and control of generating power plants
Network Manager MMS provides complete software solutions for managing Central Energy Markets
ABB offering covers full spectrum of customerneeds
Network ManagerDesigned to meet major power sector challenges:
- Rising electricity demand and power system size
- Growing share of renewable production
- Interoperability of transmision and distribution networks
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Significant increase from developing markets
Challenges - Electricity demand to rise by around 80% through 2040
May 11, 2019 Slide 5
34% China
14%
13% India
M. East and Africa
13% Europe and N. America
9% South East Asia
11% Rest of the world
6% Latin America
Glo
ba
l p
roje
cte
d in
cre
as
e i
n
ele
ctr
icit
y d
em
an
d (
15.3
25
TW
h)
Year 2040: 34.887 TWh
Year 2012: 19.562 TWh
Europe and North America (OECD)
3% 26%
Latin America
61% 100%
China
44% 119%
M. East and Africa
74% 152%
India
123% 235%
Growth in primary energy demand Growth in electricity demand
IEA New policies scenario 2012-40
South East Asia
123% 196%
Source: International Energy Agency (IEA), WEO 2014
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Global installed capacity more than double by 2040
Challenges - Renewable energy
May 11, 2019 Slide 6
Wind and solar amount to 50% of total renewables in 2040
Source: McKinsey 2011, UNEP 2009, EIU 20121 Share of total power capacity2 Other include bioenergy, geothermal, CSP and marine
Europe & North America (OEDC)
China
Japan771 GW
768 GW
100 GW
SoutheastAsia
109 GW
India
334 GW
M. East & Africa
320 GW
LatinAmerica
186 GW
IEA New policies scenario
Hydro Wind Solar PV Other renewables
0
1 000
2 000
3 000
4 000
5 000
20%10%
64%
GW
2040
27%
6%
2014
7%
2025
17%
48%
21%
10%
40%
29%
Wind Hydro OtherSolar PV
1.825 GW
30%1
3.148 GW
38%1
4.675 GW
43%1
Net capacity additions 2014-2040
2
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—Network Manager EMS/GMS/ADMSSolution footprint – designed to meet major power sector challenges
AGC
Economic Dispatch
Reserve Monitoring
Production Costing
Hydro Auto Pilot
Hydro Chain Control
Graphical User Interface
Network applications Generation applications
External Adaptors & Data Exchange
Outage management
Common Data Model, Simulation and Training
SCADA Communications
Trouble call & AMI
Outage notifications
Outage prediction
Estimated Restoration Time
Crew management
Planned work
Switch Order Management
SCADA
Data acquisition
Control
Alarming
Trending
Real-time calculations
Historian
Analytics
State estimation
Security analysis
Optimal power flow
Congestion forecast
Short circuit analysis
Volt Var Control
Power flow
Load flow
FLISR
Overload Reduction
DERMS
A sample of applications shown in the figure above
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Number ofsignals
Connected
Isolated
Collaborative
AutonomousDigitalization of the Power System
Semi-automated system operations
Limited and local manual control
Semi-automatedsystem operations
Fully-automatedsystem operations
Self-healing, autonomous grids
Manual control from the control center
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—Automation in Network Control
Redundancy with automatic switchover at multiple levels:
- Data acquisition and concentration- Control center level, for production, QA and test environments- Automatic monitoring of control system equipment and applications – health monitoring- Full virtualization support
Control system architecture
May 11, 2019 Slide 9
Increased automation level across the entire Network Manager system
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—Automation in Network Control
Redundancy with automatic switchover at multiple levels:
- Data acquisition and concentration- Control center level, for production, QA and test environments- Automatic monitoring of control system equipment and applications – health monitoring- Full virtualization support
New Data Engineering module:
- Support for Display Layout import - Automatic Generation of Images- Flexible importers from GIS, CIM, CSV/XLSX/XML, etc- Structure browser for fast overview and organization- Creating connectivity and automatic creation of process values
Control system architecture
Database and displaymaintenance
May 11, 2019 Slide 10
Increased automation level across the entire Network Manager system
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—Automation in Network Control
Redundancy with automatic switchover at multiple levels:
- Data acquisition and concentration- Control center level, for production, QA and test environments- Automatic monitoring of control system equipment and applications – health monitoring- Full virtualization support
New Data Engineering module:
- Support for Display Layout import - Automatic Generation of Images- Flexible importers from GIS, CIM, CSV/XLSX/XML, etc- Structure browser for fast overview and organization- Creating connectivity and automatic creation of process values
- SCADA: Load Shedding, Wind Park Control, Switch Analysis and Execution
- Generation: AGC/AVC, aFRR, Hydro Auto Pilot
- Transmission: Modeling: RAS (Remedial Action Schemes), UC in DPF (Unit Commitment in Load Flow)Functionality: Breaker Status Corrections, Volt-Var Control
- Distribution: DSE (Distribution State Estimator), VVO (Volt-Var Optimization)
Control system architecture
Database and displaymaintenance
Real-time operations
May 11, 2019 Slide 11
Increased automation level across the entire Network Manager system
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—Network Manager - Switching Analysis and ExecutionAdvanced switching management supports complex automatic switching for planned and unplanned events
Common for NM SCADA/EMS/ADMS
Intuitive building of switching orders & sequences
Enabled to automatically run multiple switch plans
Interlock checks performed at every step
Monitors selected indications in all neighboring stations to the switchable object
Automatically executed Switch Orders/Sequences will be suspended on unexpected status changes of monitored indications
Authorized operators will be notified and enabled to cancel or resume the switching plan
Operators can take actions before resuming execution and then run it interactively
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Monitoring and control of hydro power plants
Considers specific restrictions related to hydro power plants, water levels and flows.
Units and gates are controlled according to generation plan
Set-points are sent out as active or reactive power or converted to water flow set-point
Can set regulation strength
Start and stop of units are controlled individually
Network Manager GMS - Generation management applications
AGC Hydro Auto Pilot module
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Features
Benefits
Secures current network condition (corrective action) and future conditions (preventive action).
Identifies and minimizes security violations in the base-case network solution and protect against critical contingency cases provided by SA.
Correct the identified violations while minimizing a user-selected objective function.
Based on OPF engine, determines the control actions needed to improve system security level
Uses-selected reactive power controls
Current condition base case solution from SE, DPF, and SE study
Future condition base case solution from EOS, generation and load schedules and profiles
Network Manager EMS - Transmission network applications
Voltage and VAr Control (VVC)
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• Computes the best estimate of voltages, power flows, and overloads on the distribution network based on real-time measurements
• New phase based weighted least squares algorithm developed by ABB Corporate Research
• Algorithm is based on Hatchels method
• Zero injection node measurements are treated as constraints to improve performance
• Designed to solve with a minimal measurement set
• Accounts for measurement confidence
Network Manager ADMS - Distribution State Estimation
May 11, 2019 Slide 15
Weighted Least Squares Distribution State Estimator (WLS DSE)
Measurement set
• Voltage (line to neutral)
• Voltage (line to line)
• AMI voltage measurements
• Voltage angle
• Amp line flow
• Active power line flow
• Reactive power line flow
• Load forecast or scaled load
WLS DSE Solution
WLS DSE solution best matches constraints using measurement confidence
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5/11/2019 Slide 16
DERMS - Next generation Volt/Var Optimization (VVO)
Network Manager ADMS
• Optimizes voltage, reactive power flow, and power factor
• Controls substation regulators, line voltage regulators, capacitors, and DER output to achieve optimal objective while mitigating voltage violations
• Uses AMI voltage input and multi-period load and generation forecast
• Accounts for autonomously regulating smart inverters with volt/var droop curve
• Does not require a load flow solution
Substation RegulatingTransformers
Line Regulators
Capacitors
Utility ScaleDER
Controllable PVAMI feedback
Autonomously Regulating PVAMI feedback
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—Network Manager EMS/GMS/ADMSSolution footprint – designed to meet major power sector challenges
AGC
Economic Dispatch
Reserve Monitoring
Production Costing
Hydro Auto Pilot
Hydro Chain Control
Graphical User InterfaceNetwork
applicationsGeneration
applications
External Adaptors & Data Exchange
Outage management
Common Data Model, Simulation and Training
SCADA Communications
Trouble call & AMI
Outage notifications
Outage prediction
Estimated Restoration Time
Crew management
Planned work
Switch Order Management
SCADA
Data acquisition
Control
Alarming
Trending
Real-time calculations
Historian
Analytics
State estimation
Security analysis
Optimal power flow
Congestion forecast
Short circuit analysis
Volt Var Control
Power flow
Load flow
FLISR
Overload Reduction
DERMS
Summary:
• Full application suite
• High level of support for automated operation
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—Key factors for successful project executionABB Project Implementation Experience
Anders Hellkvist
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—Network ManagerABB’s continuing story of investment
1960’s 1970’s 2000’s 2010’s
SCADAData acquisition
EMSTransmission
MMSEnergy markets
ADMSDistribution
<1950’s
pre-SCADARemote control
1990’s
OMSDistribution
Today
DERMSDistribution
May 11, 2019 Slide 19
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—SCADA from historical perspective
A pure Data Acquisition andControl System
- Monitoring and Remote control
- Reduce personnel cost
A system with topology and
specific applications e.g. EMS, DMS
- Secure and stable operation
- Black out prevention
An energy information system, providing decision
makers with reliable process information
- Economical efficient and secure operation
- More integrated
An integrated energy optimization system
providingoperational confidence
- One single unified environment
- Enhanced situational awareness
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Wantedfunctionalscope
Why go for a Big Bang?
Stepwise deliveries are more succesful
Procurement process
ABB baselinescope
Existingfunctionalscope
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—Successful project implementation
Release strategy to support fast track delivery
Strategy
Start activities with GA release
Add protocols and update front-end (PCU) only
Develop interfaces as add-on functionality to baseline using standard API’s and tools
Make custom development (if any) on current GA release, update as maintenance version
Incorporate applicable changes into next GA release to facilitate future upgrades
Initial baseline scope
Additional scope 1
Additional scope 2
Additional scope 3
Big bang – all in one delivery
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…and develop add-ons with agile methods
Agile deliveries are more succesful than waterfall based
Start with what is available…
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—Successful project implementationApplicable lessons learned and success factors
On time delivery is essential
• Requirements management – Clarify requirements early in the delivery then adhere to change management process
• Use Agile for interface development, validate through prototype• Database development process – prioritize, work in incremental batches and
evaluate, obtain frequent feedback• Reduce configuration changes by delivering directly to site and interconnecting
to field equipment early• Increased error detection – plan to find problems you did not know you have
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