INDIA Smart GRID WEEK

Puneet Harminder Singh

Meeting with Kahramaa | Commercial in confidence | © Ericsson AB 2015 | October 2015 | Page 2

Metering as a servicemanagement model

Governance model› Three-level governance model:

– Level 1: Performance review

– Level 2: Business Development

– Level 3: Strategy

SLAs & reporting› KPIS/SLAs to be agreed between both parties,

including severity level, description, type & threshold

› Reports include:

– Quarterly Service Performance Report

(scorecard & quality indicators, KPI trends,

Procedure Manual Reviews, and proposals for

strategy changes)

– Monthly Service Performance Reports (status

report, forecast, Service Quality & SLA fulfilment,

complaints, etc.)

– Incident / Service Fault Reports

Operational model› Industrialized processes and

procedures

› Combination of local dedicated,

local/global dedicated/shared

resources

› Based on Ericsson Managed Services

Blueprint

Responsibility matrix› RASCI (Responsible, Accountable, Support,

Consult, Inform) matrix covering all service

domains (Service Management & Service

Operations) according to MSTOP framework:

– Delivery management (service

strategy)

– Planning & Engineering

– Deployment & Integration

– Service Operations

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WE deliver dataas defined in Service level agreement (*SLA Example)

SLAGate 1

(95%)

Gate 2

(100%)Comment

SL-1 - 20 min Request for single updated meter reading

SL-2 4 hours 52 hours Prioritized meters

SL-3 6 hours 104 hours Large production site facility meters

SL-4 8 hours 104 hours Mid-sized production site facility meters

SL-5 10 hours 120 hours Household meters- High Consumption

SL-6 24 hours 120 hours Household meters- Standard Consumption

SL-A 10 min 120 hours Alarms and Events

Day 1 00.00

Each day, collection from meters begins

Day 1 24.0095% of meter data should be collected.

Measured on a monthly average

Day 2-5Troubleshooting

Remote and in field

Day 5 (120 hours) 24.00100% of Meter data should be sent to “Utility”

If no or old meter value, appropriate status code should be tagged.

- (Example: Power outage, comms. network down,...)

Gate 1

Gate 2

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Utility Network

MetraNet for Utilitiesbilling on cloud

Spending / Balance

Alerts

MetraNet for Utilities

› Rate Plan Definition

› Customer Information

› Charging / Balance Management

› Customer Communication

MetraCare

&

MetraView

with NowCast Usage Patterns

Manual / Auto PayRate Plan Selection

Meter Control

Usage, Meter Parameters

Maximizing Customer Experience Increasing Business Innovation & Operational Efficiency

Meter

Data

Management

System

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Data centric Security enable secure utility communication

Utility control

centre

Communication Network 101010101010101010101010101010101010101010101010101010101010101010

Ericsson

KSI Infrastructure

eNodeB

KSI GW

101010101010101010101010101010101010101010101010101010101010101010

Smart meter

2.

3.

4.

KSI signature & data

KSI client

Publication key

KSI signature & data

KSI GW

Ericsson Data Centric Security enables authenticity of crucial data

For power grid state estimation and voltage control applications

1.

KSI client

Smart meter computes hash

for a new smart meter data and

requests KSI signature.

The KSI signature is associated with

a smart meter reading

Meter data is delivered to utility

control centre through insecure

communication channel

Utility download publication key in

order to verify authenticity of smart

meter data

Utility verifies the authenticity

of collected smart meter reading using

the publication keys

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LoRaWAN™ communication network

6*Source: LoRa Alliance

Controller

Class A: Smart Meters – Water &

Electric

Report status a few times per day

No planned actuation required

Extremely low energy

Class C: Smart

LightingConstantly listens for

network «ping» for low-

latency actuation

Class B: IrrigationTurn valves on or off

with a few minutes

latency

Extremely low energy

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HV power line monitoring SolutionConnected energy Solution

ESCM/GUI

NOC

4G /Wifi

Battery

ESC

Temp sensor

Smoke sensor (Fire detection)

Wind, humidity, lux ThunderStrike sensor

Camera with motion detection

Typical challenges

– Remote locations;

– Severe weather conditions;

– No LV power availability;

– No available communication.

Android app

Tamperingsensors

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Ericsson Hyper scale Datacenter System(HDS) 8000DRIVE HYPERSCALE WITH REDUCED TCO

Up to 55% Capex Savings

CPU

RAM

NIC

Disc

Disaggregated Hardware

› Increased utilization

› Component-level life-cycle

management

vPOD 1

vPOD 2

vPOD 3

Full Optical Interconnect

› Software-defined infrastructure

› Multi-VIM support on pooled H/W

› Enabling hyperscale

› Futureproof

UP TO 75% Opex Savings

Compared to traditional DC Hardware

HDS Command Center

› Seamless management and

integration of Ericsson and 3PP

infrastructure

› Advanced analytics, automation,

orchestration and asset mgmt.

Worlds first Disaggregated DC Solution, using Intel Rack Scale Architecture

Meeting with Kahramaa | Commercial in confidence | © Ericsson AB 2015 | October 2015 | Page 9