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© 2006 meter2cash AG ZugA Landis+Gyr Company 09.02.2006

meter2cash AG

Converge Short Presentation


Agenda

• Converge System Overview• Converge High- Lights• Data Validation• Data processing• Scalability of Converge• Market Segmentation


System Overview

Interface

Inte

rfac

e• Tariffication• Billing Determinants• Load Profile

Processing• Contract Information• Scheduling

Data Processing

• Billing Data• Load Profile Data• Meter Status• Spontaneous Events• Scheduling• Validation• Remote Control

Data AcquisitionG

SM

, PS

TN, G

PR

S, I

nter

net


Supported communication protocols


3-Tier Architecture

Layer 1:Database on Oracle

Business Objects

Layer 2:Business Objects

Layer 3:Web based User Interface


Advantage of a 3- tier Architecture

• State of the art...

• Highly flexible– Distributed system (LAN WAN)– D-COM objects are also accessible from

3rd Party programs• The business objects are the

interfaces to the database 3rd Party programs don‘t need any

information about the database architecture.– Interfaces


Converge Application Interface

Converge includes a highly flexible Application interface. It allows to exchange data with different other systems

Inte

rfac

es

• Customer Specific Interfaces• XML• GAS Billing Systems• ...

• SAP ISU EDM / CCS• InnoSolv• Schleupen• Belvis (Kisters)• ...

• LP Data Analyse

• MSCONS Message


Converge High-Lights

Reality

ContractContract

Reports

Reports

Key accounts

Key accountsKey

accountsKey

accounts

ConsumerConsumer

ESCOESCO ESCOESCO

UtilityDISCO/NETCO

or METCO

UtilityDISCO/NETCO

or METCO

ConsumerConsumer ConsumerConsumer

Consumer Tree

ActiveElements

ActiveElements

ActiveElements

ActiveElements

Meter ProxyActive Element

Meter ProxyActive Element

21*3 maf ∫ −=Report

Template

%

Status Bit

Con

sum

er T

ree

Tem

plat

eM

anag

emen

t

Dat

aVa

lidat

ion

Tarif

fAgr

eem

ents

Dat

aSe

gmen

tatio

n

West North

South

East


Data Acquisition

• Data collection through different communication channels and different meter protocols

• Plausibility check• Possibility for automatic

substitution of not valid data• Scheduler with dependencies• Meter check and meter register

construction• EDM functionalities for measured

load profile data


Data Validation and Plausibilisation

- Scheduled DA- Import from other systems

Data acquisition

- Test 1- Test 2- Test n

Validation

- Algorithm 1- Algorithm n- manually

Calculation of substitution

Raw-value Validated values

Mark wrongvalues

LP Data

Plausibility Report

Concept:


Plausibilisation

Gap check

Limit check

Status check

Flag


Plausibilisation

Main and check meter

%


Automatic substitution

Last valid Value

Mean Value

Linear Interpolation

Zero Values


Automatic substitution

Wrong values can be replaced through a value from anotherMeter. Here an example from a limit check

Last

prof

il1’ Up to 8 LP can be built up

in a hierarchical form

Last

prof

il1


Manually substitution


Meter check and register construction

• The meter check function is another data validation form.• The result of cumulated load profile values has to be the same like

the register value from the meter itself.

RTU PSTN

Date: Register

1.Jan. : 1000kWh31. Jan. : 2000kWh 1. Jan. 31. Jan.

Area

Consumption : 1000kWh = Area


Data acquisition Templates

• Definitions of metering points, communication path etc. can be added by additional attributes.

• So Converge can be exactly adapted to the requirements from the customers

• Search and filter functions on these new attributes are included.

Example: New additional attributes for a virtual meter.


EDM measured load profiles

Following functions includes the EDM module:• Supplier model• Assignment of metering points to suppliers• Aggregation of each supplier• Aggregation of all suppliers• History of all assignments and metering data.

Supplier with assigned metering points


Consumer Tree, data segmentation

Energy CompanyEnergy Company

El. CustomerEl. Customer El. CustomerEl. Customer Gas CustomerGas Customer Gas CustomerGas Customer

Electricity SectionElectricity Section Gas SectionGas Section

GasContract

GasContract

Electr.Contract

Electr.Contract

El. CustomerEl. Customer El. CustomerEl. Customer

Electricity SectionElectricity Section

Electr.Contract

Electr.Contract

Gas CustomerGas Customer Gas CustomerGas Customer

Gas SectionGas Section

GasContract

GasContract

Data segment ELECTRICITY Data segment GAS

Build up a customer tree Create contracts and assign meterpoint on itCreate different customer segments


Example consumer tree

ConsumerKey Account 1Consumer

Key Account 1

ContractMP

Master AccountEsCo 1

Master AccountEsCo 1

Top NodeNetCo / DisCo

Top NodeNetCo / DisCo

ConsumerKey Account 2Consumer

Key Account 2

ContractMP

NetCo = Network companyDisCo = Distribution companyEsCo = Energy supply companyMP = Metering point


Data Processing

Reports are based on Excel(highly flexible)Reports can be sent automaticallyby email as HTML, Excel, CSVScheduled Execution

•Billing Determinants

•Load Profile Processing

•Analyses of the load profiles

•Tariffication


Scalability of Converge

Number of metering points

Syst

em C

ompl

exity

100 1‘000 10‘000

ConvergeCluster Systeme

ConvergeStandard Systems

Small Converge


Market Segments

Energy suppliers

RegulatorGenerationGenCo System

Operator

EsCoNetwork Company

NetCoGrid Company

TransCo

Meter Reading Company

MetCo

Documents

meter2cash AG Converge Short Presentation - Главнаяnepa-ru.com/Landys+Gyr_files/converge/08_web... · meter2cash AG Converge Short Presentation. ... • SAP ISU EDM / CCS