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Detect the unexpectedVisual Analytics for next generation distributionand transmission control [email protected]
siemens.com/digitalgridUnrestricted © Siemens AG 2017
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Unrestricted © Siemens AG 2017May 2017 Sander / Energy Management
Data management
Data management and energy systems –In the age of digitalization they merge and change the world
InternetMobile
telephoneComputerIndustry
4.0
>50% of the world’s datawas created last year …but less than 0.5% wasanalyzed or used
5.5 million new “things”get connected every day,and 50 billion by 2020
Global data volume
Internetof Things
~1960 ~1970 ~1990~1980 ~2000 2030~2010 2020TODAY~1945
Nuclear PhotovoltaicGas Wind
Energy systems
Decentralenergysystem
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Unrestricted © Siemens AG 2017May 2017 Sander / Energy Management
What is Visual Analytics?
GenerateGenerate knowledgeknowledge outout ofof datadata..GenerateGenerate knowledgeknowledge outout ofof datadata..
UnderstandUnderstand datadata..UnderstandUnderstand datadata..
DetectDetect thethe unexpectedunexpected..DetectDetect thethe unexpectedunexpected..
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Unrestricted © Siemens AG 2017May 2017 Sander / Energy Management
Visual Analytics
“Computers are incredibly fast, accurate and stupid;humans are incredibly slow, inaccurate and brilliant;
together they are powerful beyond imagination.”Stuart G. Walesh
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Unrestricted © Siemens AG 201623-November-2016 Sonja Sander / EM DG SWS PH
Use case 1: Analyzing unplanned outages in distribution grids
A. Jäger, S. Mittelstädt, D. Oelke, S. Sander, A. Platz, G.Boumann and D. A. Keim. Lessons on Combining Topology andGeography – Visual Analytics for Electrical Outage Management.Best Paper at Eurovis Workshop on Visual Analytics, 2016.
Real dataReal data
Real usersReal users
Realproblems
Realproblems
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Unrestricted © Siemens AG 2017May 2017 Sander / Energy Management
Use case 2: Visual analytics for making investment decisions
Age Young Old Very oldOverload
Safe
Critical
Very critical
0 α0.5 α
α+ββ
0.5 β 0.5 β + α
β + 0.5 α
0.5 β + 0.5 α
Technical Risk at element x: TR(x)
Impact: TR(x) * NrOfCustomers
We need to look at• Geographical context of assets• SCADA measurements (overloads)• Asset data (equipment age)• Customer data
We need to look at• Geographical context of assets• SCADA measurements (overloads)• Asset data (equipment age)• Customer data
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Unrestricted © Siemens AG 2017May 2017 Sander / Energy Management
Visual analytics use cases
Planning supportwith dynamic data
Fasterdecision making
Weather & E-Mobility
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Unrestricted © Siemens AG 2017May 2017 Sander / Energy Management
Detect the unexpectedVisual analytics for next generation control centers
Sonja SanderProduct Management Grid Control
Siemens AGHumboldtstr. 5990459 NurembergGermany
Phone: +49 911 433 7002E-mail: [email protected]
siemens.com/digitalgrid