alliander robin hagemans daniel peyron
TRANSCRIPT
September 22nd 2016
Big Data Analytics to Support the Smart Grid
Robin Hagemans / Daniel Peyron
Big Data Expo
Alliander
Introduction Alliander
Hel
lo
Daniel
A Challenging Context
Aging of Assets
Energy TransitionInvestment
Regulator
Consumer
Safety
Chal
leng
e
Increasing Dynamics in the Distribution Grid
Trend: more Information based Investments & Customer Approach
Optimal
to
…delivery of Grid Services to Customers
Cost effective
Reliable
Facilitating Sustainable
Chal
leng
e
A Grid Operator needs better Insight in Behaviour on Lower Voltage Levels of the Grid
Master the SCRUM
DanielRobin
Appr
oach
Titel van de presentatie6DatumM
odel
Driv
en
> Innovation> Validation> Implementation
Better in coding than many statistiansBetter in statistics than most coders
Flexible
Open Source Statistical Platform
Dedicated workspace for data & toolsBusiness priorities first
Analytics Capability Fundament is eco-system
Analytics Capability
75.000outages
13 mioassets
>8 ydata
EXAM
PLE
Base Model: Asset Health Analytics
Top 3000 Nekaldiet joints vs Top 3000 Riskiest joints
Other joints
Nekaldiet group
Failure rates per joint
Nekaldiet group
Other joints
# customers per joint
26
Nekaldiet
18,0+44%
Risk based
# Failures
# minutes
Change Internal Policy: Risk-based instead of
Category based
EXAM
PLE
Decision Support… Business Goal
HarvestingData
Datalake
ModellingAct on insight
Learning
Feedback
MergingBI data
….is a Continious process
An ultimate way of developing our organizational knowledge
into an interactive model
Owned by the users in the businessSupported in a platform by IT
New
Phi
loso
phy
Research on Realtime Data
Sense
Distribute
Analyze
Implement
Grid
Mea
sure
men
t
Robin
Connect the Base Model with Realtime DataAsset Health Cable Quality SensorRecommender System
Match!
Outlier Outlier
EXAM
PLE
PD
Data PD
Potential defect, causing potential outage!
Sensor A
Sensor B
Sensor System: Smart Cable Guard
‘Heartbeat’ monitoring of MV cable connections
EXAM
PLE
Recommender System: “Which locations first”
EXAM
PLE
Match!
Outlier Outlier
EXAM
PLE
Closing the loop with Actionable data
Analytics Factory Portfolio
Port
folio
Pro
ces
Innovate Validate Implement
AcademicNetwork Suppliers Operational
Capacity (IT)
OperationsIT/Business
Visualisation
Algoritms
Dataviews
Source Data
Hardware
…from idea to application…..
IT Develops Analytics Services
Anal
ytic
s Se
rvic
es
(Realtime) Notification Services
Complex Event Processing
Analytics Services offer Liander better Insight in Complex Issues
Scenario Effect Calculations
Automated Platform Calculations
Scale of Integration in IT Landscape
Validated Methods & Dataviews
Analytics Algorithms LibrariesAd-Hoc Analytical
Services
Questions solved by data-scientistSelf-service Analytics &
Platforms
Data views, Tools, Visualisations
Com
plex
ity
Our Analytics eco-system
Anal
ytic
s Ec
osys
tem
Data Sources
Governance
Applications/systems
Proces Optimisation
Architecture
CorporateStrategy
!
I V I
Acceptance
Training/Development
Analytics Factory
Operations/Maintenance
Analytics ServicesPortfoliomanagement
Knowledge/Academics
Inspirational Ambitions
Expanding
Operational Focus
Offline
Real-time
Fundament is ready !
Strenghtenthe Skills
Dev
elop
men
t
New Skills Ahead
TechnicalExpert
BIConsultant Data
Engineer
Data Scientist
BusinessAnalist
Technical Advisor
Daniel
Dev
elop
men
t