Architecture and Infrastructure

wittyexecutiveΔίκτυα και Επικοινωνίες

17 Φεβ 2014 (πριν από 3 χρόνια και 5 μήνες)

330 εμφανίσεις

Architecture and Infrastructure
Issues in Automatic Meter Reading
(AMR) Networks

DRTS group
meeting

2010
-
09
-
07

What

is AMR?


Automatic

Meter Reading


Correct

invoice

every

month


New
infrastructure

for a
single

application


Expensive

(14 BSEK, Sweden)


Little
value


Raise

energy

customer

awareness


”New”
requirement

on the AMR
infrastructure


Other

applications

to come?

Technologies


PLC


Cheap
, slow,
old


The
principle

used

for
many

years


Hybrids


Actual

use

is a
cost
-
balance

choise


GPRS/GSM/cell data


Most

useful

and
expensive
,
good

coverage

Cost
-
effective

and
scalable


Tidaholm Energi


Advanced

meters,
homogenous

(Aidon meter)


8
-
10 parameters, all
collected

batch
-
wise

(1h)


7000
subscribers


Vattenfall


Need

inexpensive

AMI,
heterogenous


Filtering

out

1 parameter /
month

(1m)


1 100 000
subscribers

(Sweden), 7.8 M overall


Challenges


Real
-
time

propagation

of
updates


Propagated

as
raw
, or
aggregated


Central and
distributed

usage

of
updates


9
hours

delay

of 24h
readings



No RT
applications


Is GPRS the solution?


Cost
-
effective
?
Cheaper

circuits

and data plans.


Telecom systems are
built

to
scale
. Infrastructure
exists
.


Is IP the solution?


IP
everywhere
: ”Internet of
things



IP is
scalable
. Infrastructure
exists
.
Large

foot
-
print
?

Envolve
project

themes

Envolve

Energy
involvement

and
engagement

Enlight



End
user

awareness

of
own

energy

efficiency


Engage



Involve

next

generation
energy


users

AMMend



Awareness

of
the status of
the
electricity

grid

Aware


Situation
awareness


for
societal

functions

Pre
-
studies


Data modeling

(Aug ’10


Mar ’11)

Understand energy consumption patterns


Build user behavioral models from data


Is current data enough to get new knowledge?


Which sources to fuse?


Data collection

(Aug ’10


Mar ’11)

Understand architectural needs


Fusion, where and how?


Scalability and hierarchy


Which users of new knowledge?


Data
collection

pre
-
study


How

to


Ensure

connectivity


Enable

real
-
time

performance


Make
use

of
distributed

fusion


Support
large
-
scale
,
short
-
interval


data
collection

and
processing


Support
future

communication

needs


Project
proposals


Project:
Max Peak Shifting


Demand
-
Response
decision support


How far can behavioral adaptation go?


How far can decision support go?


Active controller for
peak shifting


Spot price vs. load in home


Appliances and smart plugs


Simple user control for decision support, schedule
and policy
-
based actuation


Prioritized load groups in home


Scale up a demonstration model home


Simulation
-
based study for large
-
scale effect

10

www.his.se/infofusion/envolve

Project:
Trends and Alarms


Use
aggregated behavior


Anomalies in time series


For individuals or groups


“Virtual sensors”, “indicators”


Interoperability and architectural needs?


Users of the knowledge?


From sector indicators to overall indicator


Fuse with other data sources: Retail, Telephone, SOS
Alarm,

SMHI, season, ..

11

www.his.se/infofusion/envolve

Measurements,

Raw data

Applications


Project:
Measure for applications

12

www.his.se/infofusion/envolve


Next useful applications (“ next killer apps”)


What is the
very best
possible?


Applications decide what to measure


Applications drive development by needs


Data is central


Data owner, beneficiary, infrastructure


Derived
-
knowledge owner


Flexible and open data infra
-

structure is needed

Project:
Magic Advisor


Capitalize on model of behavioral profiles


Give advise

to move between profiles


Compare
trends
with current profile


Improved model


Fuse with additional data sources


Improved real
-
time and alarms


Innovative user interface


Leverage the
involvement
, multi
-
modal?


Added
services


Sub
-
meter installations for refined profiling


Better CR for Utility companies

13

www.his.se/infofusion/envolve

Where

is research today?



"Fusion"

-

A Comparative Study of
Data Storage and Processing
Architectures for the Smart Grid



Demand and Response

-

Demand Side
Load Management
using a Three Step Optimization Methodology

-

Power Demand Shifting with
Smart Consumers

-

Control Mechanisms for Residential Electricity Demand
in
SmartGrids


-

Dynamic
Load Modeling of an HVAC Chiller
for Demand Response Applications



Architectures

-

Smart Grid Data Cloud: A Model for Utilizing Cloud Computing in the Smart Grid Domain

-

Demand Response Architecture
-

Integration
into the Distribution Management System

-

Incentive
Design for Lowest Cost Aggregate
Energy Demand Reduction

-

A Unified Solution for
Advanced Metering Infrastructure Integration
with a Distribution Management System

-

Seamless Data Communication
and Management over all Levels of the Power System



Communication


-

High Assurance Smart Grid: Smart Grid
Control Systems Communications Architecture

-

Facilitating a
Generic Communication Interface
to Distributed Energy Resources Mapping IEC 61850 to
RESTful

Services

-

WattDepot
: An Open
Source Software Ecosystem for Enterprise
-
scale Energy Data Collection
, Storage, Analysis,
and Visualization

-

Scalability of Smart Grid Protocols
-

Protocols And Their Simulative Evaluation For Massively Distributed DERs

-

SmartGridLab
: A Laboratory
-
Based
Smart Grid Testbed



Privacy

-

Malicious Data Attacks on Smart Grid State Estimation: Attack Strategies and Countermeasures

-

Privacy for Smart Meters:
Towards Undetectable Appliance Load Signatures

-

Smart Grid Privacy via
Anonymization

of Smart Metering Data


-

Survey of
Smart Grid Standardization Studies
and Recommendations