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©2013 Ventyx, an ABB company | Confidential & Proprietary
Smart Grid Control Center The «Next-gen» control room Enrico Amistadi, Network Manager Forum, October 8th 2013
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©2013 Ventyx, an ABB company | Confidential & Proprietary | 2
Enrico Amistadi Industry Solution Director Smart Grid SME for EMEA enrico.amistadi@ventyx.abb.com
Guten Tag!
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Agenda
Introduction The «broader» Smart Grid
Project Scope Requirements Scenarios
Screenshots Q&A
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Introduction
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Ventyx Smart Grid and its components
Generation Planning
Optimization
Network Management and Optimization
Plant Operations and Workforce Management
Asset Health and Asset Management
Generation, Load , Price Forecasting and Planning
Smart Grid Intelligence
Sensors, Intelligent Devices, Intelligent Substations, Building Automation Equipment, Communications and Services, …
Virtual Power Plants
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Project Scope The «Next-Gen» Control Room
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Customer Bio
EON Elnät is the E.ON distribution division in Sweden
They supply energy to approx. 1,000,000 customers in Sweden
They are the main distributor of South Sweden and are headquartered in Malmo
Distribution responsibilities in Sweden include also of a portion of the HV network (130 KV)
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In E.ON’s own words…
Source: E.ON’s SGCC Project Definition
”… Due to a more complex power system environment with increasing generation and consumption variations, automation and control, the task of the future Smart Grid Control Centre (SGCC) will be significantly more extended compared with today’s traditional control centre task. …”
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In E.ON’s own words…
Source: E.ON’s SGCC Project Definition
”… focus on planning, forecasting, estimation, risk analysis, control of operations (voltage, power production etc). This with the purpose to ensure security, stability and system availability with all relevant energy system actors… … ensure high competence with people, with high availability and quality of communication and system operational data, and efficient support systems for supervision and control to underpin the decision making process in the control centre. …”
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Adding pro-activity to the grid
Project Goal
SGCC User Comes at the office
Supervises current events Looks at future Events
Reacts to current events
Checks and plans for predicted
events
«Pro-acts» to predicted events
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Functional Flow
Weather Data
(Historical & Forecast)
Load and Generation
Forecast
Network Topology
and Simulation
Predicted Events and Corrective Suggestions
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Architecture
Scada
Weather
Reads
Events, Measurements
Substation Weights
Load Reduction Requests
Reduction Plans
Historical Weather Weather Forecast
Load and Renewable Generation Forecasts
Predicted Events
Reads
Operational Forecast
Network Management
VPP Management
Smart Grid Intelligence Commands
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Business Scenarios
Scenario # Name Metrics
1 Transformer Mode Switching Optimization
Hourly Data Daily Calculation
2 Voltage-Reactive Power Optimization
15 mins data Hourly calculation
3 Subscription Exceeding and Demand Response
Hourly data Hourly calculation
4 Congestions and DLR 15 mins data Hourly calculation
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Transformers can run in both single and parallel mode with specific losses depending on the load. In a future with an increased amount of wind power in the network, the situation will be more volatile and we can foresee an increased number of switches to be more optimal.
Predict the optimal operation mode for the transformers at each substation in order to minimize energy losses.
Dashboards with configured alerts allow to view the
substations where the operation mode
requires changes to enable proactive
operation.
2 1 3 Input Analysis Actions
Achieve: Operational
Performance
transformers are switched twice a year todays when optimal is around 10+.
ACTION
INSIGHT Substations with 2 or 3 transformers
Load forecasting at substation level
Scada system with 130kV grid model
Scenario #1 – Substation Switching Optimization
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Scenario #1 - Flowchart
The solution Calculation is done once a day with hourly data Check is performed against the 50 substation with multiple Transformers
Load Forecast Calculation
Load Check against the break-even
point
Switch Needed?
Future Switching Suggestion Event is
created
Historical Loads
Historical Weather
Weather Forecast
Yes
END
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This scenario focuses on optimizing the reactive power flow and voltage on the 400kV/132 kV network based on forecasts by minimizing the expected reactive power losses.
Continuous calculation of losses for alternative operation of capacitors and reactors. Control that the loss
levels remain within the thresholds.
Dashboards with configured alerts will
display some operation guidelines
when Voltage/reactive power is predicted to
cross the limits.
2 1 3 Input Analysis Actions
Achieve: Operational
Performance
Proactive operation of capacitors and reactors in the network
Load forecasting at zone level.
Scada system modeling the 130kV network to calculate voltage at each station.
ACTION
INSIGHT
Scenario #2 – Voltage/Reactive Power Optimization
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Scenario #2 - Flowchart
Ventyx solution The calculation is done every hour with 15 mins data Check is performed against the 20 identified substations
Load Forecast Calculation
Voltage is derived by load forecast
Is voltage within range?
Future Cap/React activation/deactivat
ion suggestion event is created
Historical Loads
Historical Weather
Weather Forecast
No
END
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Distribution Network Operators (DNO) can look at demand response for load peak shaving at specific locations in the grid in order to lower TSO subscription penalty fees.
Compute the impact of each customers at the substations in a meshed network. Select the optimal
set of customer to call for the DR event
Dashboards notify in advance which
customers the DSO must call in order to minimize the costs
during the exceeding
Industrial customers with alternative boilers of up to 15MW
2 1 3 Input Analysis Actions Achieve: Operational
Performance:
Proactive operation
Increase operator’s efficiency
Algorithms +
Automation
ACTION
INSIGHT
Scada + forecasting system to predict subscription exceeding
Scenario #3 – Subscription Peak Exceeding
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Scenario #3 - Flowchart
Forecast calculation is performed every hour with hourly data
Load Forecast Calculation
Check against the yearly subscription
Is load higher than subscription
Future Demand Response event
suggestion event is created
Historical Loads
Historical Weather
Weather Forecast
Yes
END No
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The solution VPP management, based upon capacity and weights calculates the optimal
reduction plan Post-event actual reduction is evaluated and used for pre-billing purposes
Future Demand Response event
suggestion event is created
Optimized set of resources is identified
Messages are sent to each involved
site/customer
Meter Reads are collected
Performance assessment and
billing calculations
Scenario #3 - Flowchart cont.
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Transmission line can be equipped with Dynamic Line Rating (DLR) system to measure congestion level and dispatch load excess. This scenario looks at alleviating the congestion in transmission lines based on forecasts.
Compute the line temperature in a similar way as the DLR but based on wind generation forecast.
Assess forecast quality against DLR
measurements Display control
recommendations to manage the
congestion at the connection line.
2 1 3 Input Analysis Actions
Achieve: Operational
Performance
Experience for future projects.
Introduce monitoring and DLR system in a more structured way in the future based on lessons from the DLR.
ACTION
INSIGHT connection lines with DLR system.
Wind farm generation forecasting
Scenario #4 – Dynamic Line Rating
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Scenario #4 - Flowchart
The solution The calculation is done every hour with 15 mins data Check is performed for the identified lines
Load and Generation
Forecast Calculation
DLR Calculation is performed
Is expected net load
within the DLR
tolerance
Future DLR alert event is created
Historical Loads
Historical Weather
Weather Forecast
No
END
Historical Gen.
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Screenshots
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SGCC screenshots
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SGCC screenshots
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SGCC screenshots
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SGCC screenshots
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SGCC screenshots
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SGCC screenshots
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Conclusion
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Smart Grid…
Generation Planning
Optimization
Network Management and Optimization
Plant Operations and Workforce Management
Asset Health and Asset Management
Generation, Load , Price Forecasting and Planning
Smart Grid Intelligence
Sensors, Intelligent Devices, Intelligent Substations, Building Automation Equipment, Communications and Services, …
Virtual Power Plants
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Vielen Dank!
Confidential | ©2012 Ventyx, An ABB Company | 32
Smart Grid Control Center�The «Next-gen» control roomGuten Tag!AgendaIntroductionFoliennummer 5Project ScopeCustomer BioIn E.ON’s own words…In E.ON’s own words…Project GoalFunctional FlowArchitectureBusiness ScenariosScenario #1 – Substation Switching Optimization Scenario #1 - FlowchartScenario #2 – Voltage/Reactive Power OptimizationScenario #2 - FlowchartScenario #3 – Subscription Peak ExceedingScenario #3 - FlowchartScenario #3 - Flowchart cont.Scenario #4 – Dynamic Line RatingScenario #4 - FlowchartScreenshotsSGCC screenshots SGCC screenshotsSGCC screenshotsSGCC screenshotsSGCC screenshotsSGCC screenshotsConclusionFoliennummer 31Vielen Dank!
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