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1/23Prof. Luigi Atzori 27/11/2015
UNIVERSITY OF CAGLIARI
DIEE - Department of Electrical and Electronic Engineering
ICT pe...
2/23Prof. Luigi Atzori 27/11/2015
Smart Grid challenges
“One of the core challenges for an intelligent electricity supply ...
3/23Prof. Luigi Atzori 27/11/2015
Smart Grid challenges
“One of the core challenges for an intelligent electricity supply ...
4/23Prof. Luigi Atzori 27/11/2015
Smart Grid challenges
“One of the core challenges for an intelligent electricity supply ...
5/23Prof. Luigi Atzori 27/11/2015
Smart Grid challenges
“One of the core challenges for an intelligent electricity supply ...
6/23Prof. Luigi Atzori 27/11/2015
CEN/CENELEC/ETSI: SGAM model
7/23Prof. Luigi Atzori 27/11/2015
Enabling technologies: IoT & Virtualization
Virtual
World
8/23Prof. Luigi Atzori 27/11/2015
Enabling technologies: IoT & Virtualization
 Interoperable
 Reusable
 Future-proof
 ...
9/23Prof. Luigi Atzori 27/11/2015
Enabling technologies: IoT & Virtualization
Where are virtual
entities located?
APP APP
...
10/23Prof. Luigi Atzori 27/11/2015
Enabling technologies: Cloud
APP APP
CVOCVOCVO CVO
CVO
VO VO
VO
VOVO
 Virtual Entities...
11/23Prof. Luigi Atzori 27/11/2015
Enabling technologies: Cloud
Are all virtual entities
located in the cloud?
APP APP
CVO...
12/23Prof. Luigi Atzori 27/11/2015
Enabling technologies: Fog
APP APP
CVOCVOCVO CVO
CVO
VO VO
VO
VOVO
 Fog is about compu...
13/23Prof. Luigi Atzori 27/11/2015
Enabling technologies: Fog
APP APP
CVOCVOCVO CVO
CVO
VO VO
VO
VOVO
 Fog and Cloud are ...
14/23Prof. Luigi Atzori 27/11/2015
An use-case: System State
Estimation*
 Objective: offer a
programmable
and QoS
complia...
15/23Prof. Luigi Atzori 27/11/2015
An use-case: System State
Estimation
 Integrating
Smart Grid
devices in a IoT
platform...
16/23Prof. Luigi Atzori 27/11/2015
VIRTUAL ENTITIES LOCATION
An use-case: System State
Estimation
17/23Prof. Luigi Atzori 27/11/2015
 More elastic
 Better CAPEX/OPEX
 Wider vision and
visibility
 More responsive
 Mo...
18/23Prof. Luigi Atzori 27/11/2015
An use-case: System State
Estimation
19/23Prof. Luigi Atzori 27/11/2015
• Objective: Optimize energy management and
provide load estimation
 Automatic applian...
20/23Prof. Luigi Atzori 27/11/2015
Smart Home Energy Management
• User profile: annoyance level
– Washing machine, dishwas...
21/23Prof. Luigi Atzori 27/11/2015
Smart Home Energy Management
22/23Prof. Luigi Atzori 27/11/2015
Smart Home Energy Management
23/23Prof. Luigi Atzori 27/11/2015
Conclusions
• Smart Grid ICT infrastructure
– Cloud based
– Virtualization
• Advantages...
24/23Prof. Luigi Atzori 27/11/2015
Grazie per l’attenzione
http://mclab.diee.unica.it
l.atzori@ieee.org
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ICT per le Smart Grid - Luigi Atzori

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L'intervento di Luigi Atzori in occasione del workshop "Microreti intelligenti, ICT e mobilità elettrica", che si è svolto a Macchiareddu il 27 novembre 2015.

L'evento è stato organizzato dal Progetto Cluster Elettronica di Sardegna Ricerche.

Veröffentlicht in: Technologie
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ICT per le Smart Grid - Luigi Atzori

  1. 1. 1/23Prof. Luigi Atzori 27/11/2015 UNIVERSITY OF CAGLIARI DIEE - Department of Electrical and Electronic Engineering ICT per le Smart Grid Prof. Luigi Atzori Ing. Alessio Meloni
  2. 2. 2/23Prof. Luigi Atzori 27/11/2015 Smart Grid challenges “One of the core challenges for an intelligent electricity supply system, includes the creation of a software architecture allowing consumers and market players to compose new services and to satisfy own requirements related to energy services and products thereby using also market interfaces and at the same time supporting the quality and security of supply of the grid based electricity system.” “In order to exploit economies of scale and to provide scalable solutions, a lot of effort has to focus on the definition of interoperable interfaces.” “The role of ICT (Information and Communication Technology) in adapting electricity networks to real time actions and managing distributed control in the network will be a critical contribution.” From the Smart Grid challenges of the European Strategic Research Agenda 2025
  3. 3. 3/23Prof. Luigi Atzori 27/11/2015 Smart Grid challenges “One of the core challenges for an intelligent electricity supply system, includes the creation of a software architecture allowing consumers and market players to compose new services and to satisfy own requirements related to energy services and products thereby using also market interfaces and at the same time supporting the quality and security of supply of the grid based electricity system.” “In order to exploit economies of scale and to provide scalable solutions, a lot of effort has to focus on the definition of interoperable interfaces.” “The role of ICT (Information and Communication Technology) in adapting electricity networks to real time actions and managing distributed control in the network will be a critical contribution.” Use of an open approach where resources are accessed and traded Harmonizing and orchestrating views on resources and functionalities
  4. 4. 4/23Prof. Luigi Atzori 27/11/2015 Smart Grid challenges “One of the core challenges for an intelligent electricity supply system, includes the creation of a software architecture allowing consumers and market players to compose new services and to satisfy own requirements related to energy services and products thereby using also market interfaces and at the same time supporting the quality and security of supply of the grid based electricity system.” “In order to exploit economies of scale and to provide scalable solutions, a lot of effort has to focus on the definition of interoperable interfaces.” “The role of ICT (Information and Communication Technology) in adapting electricity networks to real time actions and managing distributed control in the network will be a critical contribution.” Data and computation overload management Dynamic adaptation to changes that may occur even in critical situations
  5. 5. 5/23Prof. Luigi Atzori 27/11/2015 Smart Grid challenges “One of the core challenges for an intelligent electricity supply system, includes the creation of a software architecture allowing consumers and market players to compose new services and to satisfy own requirements related to energy services and products thereby using also market interfaces and at the same time supporting the quality and security of supply of the grid based electricity system.” “In order to exploit economies of scale and to provide scalable solutions, a lot of effort has to focus on the definition of interoperable interfaces.” “The role of ICT (Information and Communication Technology) in adapting electricity networks to real time actions and managing distributed control in the network will be a critical contribution.” Differentiating while integrating real time and non-real time services Distribution in Smart Grid calls for distribution of the ICT overlay
  6. 6. 6/23Prof. Luigi Atzori 27/11/2015 CEN/CENELEC/ETSI: SGAM model
  7. 7. 7/23Prof. Luigi Atzori 27/11/2015 Enabling technologies: IoT & Virtualization Virtual World
  8. 8. 8/23Prof. Luigi Atzori 27/11/2015 Enabling technologies: IoT & Virtualization  Interoperable  Reusable  Future-proof  Composition-friendly  Adaptable APP APP CVOCVOCVO CVO CVO VO VO VO VOVO
  9. 9. 9/23Prof. Luigi Atzori 27/11/2015 Enabling technologies: IoT & Virtualization Where are virtual entities located? APP APP CVOCVOCVO CVO CVO VO VO VO VOVO
  10. 10. 10/23Prof. Luigi Atzori 27/11/2015 Enabling technologies: Cloud APP APP CVOCVOCVO CVO CVO VO VO VO VOVO  Virtual Entities are built and executed on the Google infrastructure (PaaS)  Scalable and elastic  traffic  computation  storage  Lower CAPEX and OPEX
  11. 11. 11/23Prof. Luigi Atzori 27/11/2015 Enabling technologies: Cloud Are all virtual entities located in the cloud? APP APP CVOCVOCVO CVO CVO VO VO VO VOVO
  12. 12. 12/23Prof. Luigi Atzori 27/11/2015 Enabling technologies: Fog APP APP CVOCVOCVO CVO CVO VO VO VO VOVO  Fog is about computing and storing on the edge  to make local decisions  to improve latency  to save bandwidth Cloud computing Fog-to-Cloud Communication Device-to-Cloud Communication Device-to-Device Communication
  13. 13. 13/23Prof. Luigi Atzori 27/11/2015 Enabling technologies: Fog APP APP CVOCVOCVO CVO CVO VO VO VO VOVO  Fog and Cloud are synergistic, not exclusive  Fog is the ICT microgrid  IoT systems require both Cloud computing Fog-to-Cloud Communication Device-to-Cloud Communication Device-to-Device Communication
  14. 14. 14/23Prof. Luigi Atzori 27/11/2015 An use-case: System State Estimation*  Objective: offer a programmable and QoS compliant environment for System State Estimation *Funded by Legge 7, RAS, annualità 2013
  15. 15. 15/23Prof. Luigi Atzori 27/11/2015 An use-case: System State Estimation  Integrating Smart Grid devices in a IoT platform  PMUs (Phasor Measurement Units) are the most interesting yet challenging components
  16. 16. 16/23Prof. Luigi Atzori 27/11/2015 VIRTUAL ENTITIES LOCATION An use-case: System State Estimation
  17. 17. 17/23Prof. Luigi Atzori 27/11/2015  More elastic  Better CAPEX/OPEX  Wider vision and visibility  More responsive  More secure  Less bandwidth required An use-case: System State Estimation
  18. 18. 18/23Prof. Luigi Atzori 27/11/2015 An use-case: System State Estimation
  19. 19. 19/23Prof. Luigi Atzori 27/11/2015 • Objective: Optimize energy management and provide load estimation  Automatic appliance execution shift based on customer comfort energy price RES energy availability • Virtual objects – The appliances • CVOs and VO: locally implemented Smart Home Energy Management* Use case of the European Project Demanes, funded by Artemis JU, 2012-2015
  20. 20. 20/23Prof. Luigi Atzori 27/11/2015 Smart Home Energy Management • User profile: annoyance level – Washing machine, dishwasher, clothes dryer, electric oven, heating system, water heater
  21. 21. 21/23Prof. Luigi Atzori 27/11/2015 Smart Home Energy Management
  22. 22. 22/23Prof. Luigi Atzori 27/11/2015 Smart Home Energy Management
  23. 23. 23/23Prof. Luigi Atzori 27/11/2015 Conclusions • Smart Grid ICT infrastructure – Cloud based – Virtualization • Advantages – Flexibility, reusability, reliability • Disadvantages – Latency, security • Applications – Real-time estimation of the grid status, smart management of the energy in homes and districts
  24. 24. 24/23Prof. Luigi Atzori 27/11/2015 Grazie per l’attenzione http://mclab.diee.unica.it l.atzori@ieee.org

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