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