Large Scale Smart Grids as System Scale Smart

Large--Scale Smart Grids as System
Large
of Systems
Jennifer Pérez, Jessica Díaz, Juan Garbajosa, Agustín Yagüe
Technical University of Madrid (UPM), Spain
Eloy Gonzalez, Mercedes Lopez-Perea
Indra Software Labs, Spain
Contents


Introduction
Background


SoS
Smart Grids




L
Large-Scale
S l Smart
S
tG
Grids
id as SoS
S S



Energos
NEMO&CODED
IMPONET
Conceptualization
A hit t l Framework
Architectural
F
k for
f Large-Scale
L
S l Smart
S
t Grids
G id
Conclusions
First International Workshop on Software Engineering for
Systems-of-Systems (SESoS), 2nd July 2013
2
Introduction
 A System of Systems

Conceptualized = a kind of systems which are built from
components
 Large
g scale systems
y
in their own right
g
 Independent
An Example:
 Complex
S
Smart
G id
Grids
 Heterogeneous
Emergent Behaviour
with a common Goal
First International Workshop on Software Engineering for
Systems-of-Systems (SESoS), 2nd July 2013
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Introduction

Smart Grids as a SoS  From Smart Grids To LargeScale Smart-Grids

Challenges:



Conceptualize Large-Scale Smart-Grids as a SoS
Architectural Design
Guarantee Interoperability
A A
An
Architectural
hit t l F
Framework
k ffor L
LargeScale Smart Grids
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Systems-of-Systems (SESoS), 2nd July 2013
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Contents


Introduction
Background


SoS
Smart Grids




L
Large-Scale
S l Smart
S
tG
Grids
id as SoS
S S



Energos
NEMO&CODED
IMPONET
Conceptualization
A hit t l Framework
Architectural
F
k for
f Large-Scale
L
S l Smart
S
t Grids
G id
Conclusions
First International Workshop on Software Engineering for
Systems-of-Systems (SESoS), 2nd July 2013
5
SoS
 Characterized by 5+3 criteria


Maier’s 5 criteria
 Operational independence of elements
 Managerial independence of elements
 Evolutionary
y development
p
 Emergent behavior
 Geog
Geographic
ap c distribution
d st but o
DeLaurentis’ 3 criteria
 Inter
Inter-disciplinary
disciplinary
 Heterogeneous
 Network of systems
systems.
First International Workshop on Software Engineering for
Systems-of-Systems (SESoS), 2nd July 2013
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SoS

Classification
[Maier] [Dahmann et al]
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Systems-of-Systems (SESoS), 2nd July 2013
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SoS

Software Architecture

Should be:

Open
 Loosely coupled
 Welcome to changes
 Guarantee the interoperability


Should
Sh
ld define
d fi stable
t bl intermediate
i t
di t forms
f
Should use Standards
First International Workshop on Software Engineering for
Systems-of-Systems (SESoS), 2nd July 2013
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Contents


Introduction
Background


SoS
Smart Grids




L
Large-Scale
S l Smart
S
tG
Grids
id as SoS
S S



Energos
NEMO&CODED
IMPONET
Conceptualization
A hit t l Framework
Architectural
F
k for
f Large-Scale
L
S l Smart
S
t Grids
G id
Conclusions
First International Workshop on Software Engineering for
Systems-of-Systems (SESoS), 2nd July 2013
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Smart Grids

Smart Grids are composed of a broad range of energy resources,
f
from
l
large
generating
i systems to smaller
ll generating
i systems, all
ll
of them operating as a single system providing both power and
heat to their consumers
First International Workshop on Software Engineering for
Systems-of-Systems (SESoS), 2nd July 2013
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Smart Grids

Definitions:

S
Smart
tG
Grid:
id


Microgrid:



Small-scale grid that is designed to provide electrical and/or thermal
energy for local loads and communities
Large-Scale Smart Grid:


A set of microgrids, energy resources and systems, and consumers that
are connected to the main grid
Smart Grid that scales up the electricity service to millions of customers
Promote the integration of traditional and renewable
energy resources in distributed, open, and self-managed
way.
Mean a shift from current centralized energy
infrastructures towards more distributed ones
First International Workshop on Software Engineering for
Systems-of-Systems (SESoS), 2nd July 2013
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Smart Grids

Require innovative models and software architectures
for:
 Integrating the distributed renewal energy resources
 Providing energy infrastructure with intelligent
communication, monitoring, control, and management
 Enabling two-way exchange of power and information
between suppliers
pp
and consumers ((or pprosumers )
 Managing the growing energy demand
First International Workshop on Software Engineering for
Systems-of-Systems (SESoS), 2nd July 2013
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Smart Grids

ENERGOS: Technologies for automated and intelligent
management of the future power distribution networks


Goal: to acquire technical capabilities on basic technologies for Smart Grids
O t
Outcomes:
Middl
Middleware
technologies
t h l i andd uses case from
f
the
th Energy
E
Domain
First International Workshop on Software Engineering for
Systems-of-Systems (SESoS), 2nd July 2013
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Smart Grids

NEMO&CODED: NEtwork MOnitoring & COntrol,
Diagnostic for Electrical Distribution


Goal: Monitoring and control technologies for electricity networks,
focusing on the application of current Web Services technologies into the
energy domain
Outcomes: Head-End Integration, Use of DPWS Standards, Acquisition
Metering Platform
First International Workshop on Software Engineering for
Systems-of-Systems (SESoS), 2nd July 2013
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Smart Grids

IMPONET: Intelligent Monitoring of POwer NETworks


Goal: To develop an advanced platform for future Smart Metering
Outcomes: Modules of the Advanced Metering Platform, Advanced
Processing and Storing Infrastructure
Infrastructure, Integration of MDM with Nemo
Connector via Web Services and with Real-Time Nodes via XTPP
COMMUNICATION COMPONENTS
REMOTE CONTROL & SMART METERING PLATFORM
METER DATA MANAGEMENT HEAD END
WEB PORTAL
SYSTEM INTELLIGENCE
DATA EXCHANGE
POWER QUALITY MONITORING
INHOME DISPLAY UNITS
First International Workshop on Software Engineering for
Systems-of-Systems (SESoS), 2nd July 2013
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Contents


Introduction
Background


SoS
Smart Grids




L
Large-Scale
S l Smart
S
tG
Grids
id as SoS
S S



Energos
NEMO&CODED
IMPONET
Conceptualization
A hit t l Framework
Architectural
F
k for
f Large-Scale
L
S l Smart
S
t Grids
G id
Conclusions
First International Workshop on Software Engineering for
Systems-of-Systems (SESoS), 2nd July 2013
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Large Scale Smart Grids as SoS
Large-Scale

Conceptualization
 The Large-Scale Smart Grids are constituted by resources
interconnected among them. Many of these resources are systems
SoS
Smart
Home
SoS
SoS
Solar
Farm
Hospital
SoS
SoS
Wind
Farm
Electric
Vehicle
Swarm
SoS
Animal
Farm
A SoS of
SoS
SoS
Industry
First International Workshop on Software Engineering for
Systems-of-Systems (SESoS), 2nd July 2013
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Large Scale Smart Grids as SoS
Large-Scale

Conceptualization

The SoS that compose the Large-Scale Smart Grid have:


Their own management goals and
business purposes and work on their
own and
d collaboratively
ll b ti l with
ith the
th restt off
SoS
An agreement, usually with the utility, in
terms of power decisions, i.e. power
supply,
l billi
billing, power sale,
l power storage,
t
etc
All of them have a
agreement with
the Utilityy
C ll b
Collaborative
i / Acknowledge
A k
l d
First International Workshop on Software Engineering for
Systems-of-Systems (SESoS), 2nd July 2013
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Large Scale Smart Grids as SoS
Large-Scale

Conceptualization

Smart Grid’s SoS work on their own
Characterization criteria:








Smart Grid’s SoS have their
own management goals and
business p
purposes
p
Operational independence of elements
Managerial independence of elements
Smart Grids have an open nature, and a
Evolutionary development
flexible and scalable infrastructure
Emergent behavior
Smart Grids leverage emergent behavior
Geographic distribution
and requires run-time capabilities
Network of systems
y
Smart Grid services are decentralized and
its infrastructure is distributed
Inter-disciplinary
Heterogeneous
Smart Grid are composed of systems such as
l ffarms, power plants,
l
h
i l wind
i d farms,
f
solar
hospitals,
animal farms, industries, the swarm of electric
vehicles, smart homes, etc.
First International Workshop on Software Engineering for
Systems-of-Systems (SESoS), 2nd July 2013
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Large Scale Smart Grids as SoS
Large-Scale

Conceptualization

Software Architecture




Open, Loosely coupled, Welcome to changes, Guarantee the interoperability
Should
Sh
ld ddefine
fi stable
bl iintermediate
di forms
f
Should use Standards
Real time capabilities





Management of real time problems in a more efficient and safer way,
F ilit ti the
Facilitating
th integration
i t
ti off reall time
ti information:
i f
ti
to
t acquire,
i store,
t
distribute, process, and analyze data in real-time
Connecting and disconnecting resources
Smart metering and real time monitoring
Data interoperability

Huge amount of data from the volume of the data collected from smart
meters and other devices connected to the ppower network,, which are from
different vendors
First International Workshop on Software Engineering for
Systems-of-Systems (SESoS), 2nd July 2013
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Large Scale Smart Grids as SoS
Large-Scale
 Architectural Framework: Dimensions
Smart Grid
Comm
mon Systtems
Diimension
n
Wind
Farm
SoS Dimension
Smart
Home
Industry
Hospital
Animal
Farm
Electric
Vehicle
Swarm
Solar
Farm
Devices that constitute the power network and allow
the smart monitoring and control of the power network
First International Workshop on Software Engineering for
Systems-of-Systems (SESoS), 2nd July 2013
POWER
21
Large Scale Smart Grids as SoS
Large-Scale
 Architectural Framework: Dimensions
Smart Grid
Comm
mon Systtems
Diimension
n
Wind
Farm
SoS Dimension
Smart
Home
Industry
Hospital
Animal
Farm
Electric
Vehicle
Swarm
Solar
Farm
Network Monitoring and
Controlling. Data Storage
CONTROL AND OPERATION
First International Workshop on Software Engineering for
Systems-of-Systems (SESoS), 2nd July 2013
POWER
22
Large Scale Smart Grids as SoS
Large-Scale
 Architectural Framework: Dimensions
Smart Grid
Comm
mon Systtems
Diimension
n
Wind
Farm
SoS Dimension
Smart
Home
Industry
Hospital
Animal
Farm
Electric
Vehicle
Swarm
Solar
Farm
Management of the huge volume of
run-time and historical data
DATA PROCESSING AND ANALYSIS
CONTROL AND OPERATION
First International Workshop on Software Engineering for
Systems-of-Systems (SESoS), 2nd July 2013
POWER
23
Large Scale Smart Grids as SoS
Large-Scale
 Architectural Framework: Dimensions
Smart Grid
Comm
mon Systtems
Diimension
n
Wind
Farm
SoS Dimension
Services that are provided to utilities, retailers,
customers of the Smart Grid to operate/query
the
Electric
Vehicle
Solar
Smart
network
Industry
Hospital
Animal
Swarm
Home
Farm
Farm
STAKEHOLDERS SERVICES
DATA PROCESSING AND ANALYSIS
CONTROL AND OPERATION
First International Workshop on Software Engineering for
Systems-of-Systems (SESoS), 2nd July 2013
POWER
24
Large Scale Smart Grids as SoS
Large-Scale
 Architectural Framework: Deployment
Smart Grid
Comm
mon Systeems
Dim
mension
n
SOA
Wind
Farm
SERVICE
LAYER
SoS Dimension
Smart
Home
Industry
Hospital
Animal
Farm
Electric
Vehicle
Swarm
Solar
Farm
STAKEHOLDERS SERVICES
DATA PROCESSING AND ANALYSIS
COMPONENT
LAYER
CONTROL
AND
AND OPERATION
COMMUNICATION LAYER
PHYSICAL LAYER
First International Workshop on Software Engineering for
Systems-of-Systems (SESoS), 2nd July 2013
POWER
25
Large Scale Smart Grids as SoS
Large-Scale
 Architectural Framework: Deployment

Management, access and analysis of a huge variety of information



System: Data Processing and Analysis
Layer:
y Component
p
Technologies: Massive storage solutions Big Data



Interoperability of data




Clustering technologies for batch data processing : Hadoop
Integration with the SQL and NonSQL paradigms
System: Operation
Layer: Communications
Standards: Common Information Model (CIM), IEC 61850
Real-Time



System: Operation
Layer: Communications
Technologies: Extreme processing XTPP which is based on the
Publish/Subscribe paradigm with DDS (Data Distribution Service) and CEP
(Complex Event Processing)
First International Workshop on Software Engineering for
Systems-of-Systems (SESoS), 2nd July 2013
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Contents


Introduction
Background


SoS
Smart Grids




L
Large-Scale
S l Smart
S
tG
Grids
id as SoS
S S



Energos
NEMO&CODED
IMPONET
Conceptualization
A hit t l Framework
Architectural
F
k for
f Large-Scale
L
S l Smart
S
t Grids
G id
Conclusions
First International Workshop on Software Engineering for
Systems-of-Systems (SESoS), 2nd July 2013
27
Conclusions

From the experience in the projects ENERGOS, NEMO
& CODED and IMPONET:


Large-Scale Smart Grids have been defined as a SoS of SoS
It has been defined based Architectural Framework to
deploy the software architectures of Large-Scale Smart
Grids.

Two Dimensions:




Organizational perspective: SoS that compose the Smart Grid
Functional perspective: System that provide the common functionality of the
Smart Grids
This architectural framework is based on SOA + run-time
capabilities and a set of technologies and standards to guarantee
the open, decoupling and interoperability requirements of SoS
architectures.
This is just a first and small step in a long way
First International Workshop on Software Engineering for
Systems-of-Systems (SESoS), 2nd July 2013
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Thank you very much for your
attention
Questions?
For more information:
Jennifer Pérez
Technical University of Madrid- Universidad Politécnica de Madrid(UPM)
jenifer.perez@eui.upm.es