The promise of smart meters

and advanced analytics in

electricity distribution

Internet of Energy 2017

Kaspar Kaarlep

Head of Digital Network Technology

Elektrilevi

Digital Network

Technology

in Elektrilevi

OPERATIONAL

TECHNOLOGY

• IPS

• Locamation

• Elspec SOLUTION

ARCHITECTURE

• Ericsson

• ABB

• Landys + Gyr

• GridMind

• Trimble

REMOTE

OPERATIONS

• Martem AS

• Eltech Service

• ABB

• Viola Systems

• TeliaSonera

• Tele2

CYBER

SECURITY

• European Network

for Cyber Security

• ISA

• ENISA

IT/OT SERVICE

MANAGEMENT

• ABB

• Trimble

• Eliko

Elektrilevi

Largest Network Operator in Estonia

Measurement points 652 998

Primary substations 242

MV/LV substations 23 691

Secondary (switching) substations 242

20; 35 (110) kV transformers 195

6-35kV lines 27 190

0,4kV lines 33 269

Total of lines 60 459

ASSET BASE

• 90% of the marketshare

• Part of the Enefit Group

• State-owned international energy company

• Operates in the Baltic countries and Poland, also in the international liquid fuels market

• Unique experience and technology in relation to processing oil shale and energy production

FINANCE 2016

Sales mln € 260,4

EBITDA mln € 114,5

Investments mln € 88,5

ROIC % 9,1 %

Sales GWh 6 777

Network losses GWh 293

Network losses % 4,1 %

Two tracks in

extracting value

from data

• Improving existing business model by

redesigning business processes around

data-centric methods

• Unlocking new business models and

revenue streams in the emerging

home and industrial IoT space

GROWING THE

COMPANY’S

VALUE

MAINTAINING

EXISTING ASSET

EFFICIENCY

DATA ORIENTED

ASSET MANAGEMENT

Improving existing

business efficiency by

implementing new

data capabilities

Electricity

distribution

services

INCREASING

CUSTOMER

SATISFACTION

CULTIVATING

NEW REVENUE

STREAMS

NEW BUSINESS

DOMAINS

• Electric mobility

• Demand side

management

• Production

management

New

business

growth

Building the

Smart Grid comes down to…

WHEN to build WHAT?

Different answers and philosophies when approaching this

question will lead to very different systems in practice.

Fault location system

• Locating multi-phase short-circuit faults in the distribution network. Most useful for faults on remote lines.

• Measurements sent by an IED are collected by a SCADA system and transferred to a DMS system which then

automatically displays the location of the short-circuit fault on the screen of the operator.

RNA (Reliability based Network Analysis)

• Module of Trimble NIS

• Network reliabilty modelling and analysis on the basis of its elements, condition, environment and topology.

• Location of critical parts of the network

• Evaluation and comparison of planned network models in accordance to reliability parameters

Current systems have high maintenance costs

Element data:• Type

• Condition

• Defects

• Environment

ELEMENT

RELIABILITY

MODELLING

NETWORK

RELIABILITY

MODELLING

Network data:• Type

• Topology

• Environment

ECONOMICAL

CALCULATIONS

Client data:• Type of consumer

• Energy consumption

• Supply-interruption cast

2010Start

2011Procurement

20125300 SM installed

Contract with Ericsson

2013162 000 SM Beginning of installment

2014185 000 SM Beginning of development for the analytics platform

2015173 000 SM

201698 000 SMSM installation finished

2017Final stage and end of project

Smart Metering Project • Ericsson delivered a complex and challenging project on budget and schedule

• 625 250 smart meters in place

• 3800 smart meters installed weekly

Grid operations

295

191327 140

166 157 132 120 112 104

1567

943

1814

659

917

700 668 693 724 700

451283 508

203 264 226200 193 190 188

0

200

400

600

800

1000

1200

1400

1600

1800

2000

2011 2012 2013 2014 2015 2016 2017 2018 2019 2020

SA

IDI, m

in

SAIDI

Urban Rural SAIDI sum

GRID OPERATIONS PROCESS

Main process steps:

• Grid monitoring

• Fault location

• Grid state restoration

GOAL: Guarantee agreed upon

network operating conditions and

fulfil all customers’ energy

consumption needs

Main challenges:

• Extreme weather

• Legacy overhead lines

• Lots of forest and trees

Client SAIDI in 2016

Voltage quality

2016 operational testing results

Verified that grid needs

reinforcement

20%

Out of date information

10%

No apparent reason found

(yet)

17%

Tap changes

19%

Slowly failing transformer

was changed

15%

Loose cable connections

tightened

8%

Aging cables

6%

Other

5%

Other

53%

NO FIELD ACTION TAKEN FIELD CREW DISPATCHED

Quality assurance for newly built substations

Further possibilities ……

Preventable faults and quality issues

4x shorter outages for same fault

Reduction in compensation claims and quality penalties

Estimated 5,1 million Euros could be saved annualy

known SAIDI: 218,7;

actual SAIDI from smart meters: 391

Planned outages instead of unplanned outages

Proactive approach in preventing power quality penalties

Investments based on actual detected problems

Accurate SAIDI data for solving customer calls

How the systems approach to

handling data matters

THEORETICAL MODEL DRIVEN APPROACH OBSERVATION DRIVEN APPROACH

Emphasis on energy distribution specific knowledge and

know-how

Emphasis on IT/OT-specific knowledge and know-how

The resulting the application will be highly customized

for the data sources and business process

The resulting application will be mostly generic

Costs carried mostly for the Network operator alone.

Costly front-end customization to adapt all algorithms.

Companies can have shared costs (more technically

feasible to outsource and reuse the coded model)

Fundamental architecture will determine cost, time and

ultimately business value

Client

Clie

nt

Clie

nt

Asset, Business and Product

Development

Sales and Customer Service

Planning

Execution

Operations

Client Accounts

Service QualityImprovement

StrategicManagement

Flexible

Analytics

Platform

Rethinking the

organization from a

data-centric

perspective

• New improved services

• Proactive approachand fault prevention

• Optimisation of lowvoltage networkinvestments

• Substation qualitycontrol

• Planned outages instead of unplanned ones

• More accurateSAIDI, transparency

• Fraud and loss• Meter tampering alarms

• Visual and accurateoversight of present situation

• True analytic grid monitoring has the

potential to revolutionize the way we work

• Our current approach is to organize around

the time-criticality of the insight

• Two teams of analysts – operational and

planning - responsible for generating

valuable insight and actionable data.

Conclusions

• Its possible to unlock value in “the data” without knowing too much about

what that value is on the frontend

• Using technology components that “just work”, in an flexible project framework

will deliver results much faster and in a cost effective manner than current

traditional approaches

• Maintaining momentum and ultimately getting the most out of data will

require parallel work in thinking of the organizational structure and processes –

this will have a positive impact beyond just a single project

Kaspar Kaarlep

Head of Digital Network Technology

Elektrilevi