A Cyber-Physical Residential Energy Management System via Virtualized Packets

This paper proposes a cyber-physical system to manage flexible residential loads based on virtualized energy packets. Before being used, flexible loads need to request packets to an energy server, which may be granted or not. If granted, the energy server guarantees that the request will be fulfille...

Full description

Bibliographic Details
Main Authors: Mauricio de Castro Tomé, Pedro H. J. Nardelli, Hafiz Majid Hussain, Sohail Wahid, Arun Narayanan
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/13/3/699
id doaj-6ab0476e81db48359cf61946809a10c6
record_format Article
spelling doaj-6ab0476e81db48359cf61946809a10c62020-11-25T03:32:39ZengMDPI AGEnergies1996-10732020-02-0113369910.3390/en13030699en13030699A Cyber-Physical Residential Energy Management System via Virtualized PacketsMauricio de Castro Tomé0Pedro H. J. Nardelli1Hafiz Majid Hussain2Sohail Wahid3Arun Narayanan4Centre for Wireless Communications, University of Oulu, 90570 Oulu, FinlandCentre for Wireless Communications, University of Oulu, 90570 Oulu, FinlandSchool of Energy Systems, LUT University, 53850 Lappeenranta, FinlandSchool of Energy Systems, LUT University, 53850 Lappeenranta, FinlandSchool of Energy Systems, LUT University, 53850 Lappeenranta, FinlandThis paper proposes a cyber-physical system to manage flexible residential loads based on virtualized energy packets. Before being used, flexible loads need to request packets to an energy server, which may be granted or not. If granted, the energy server guarantees that the request will be fulfilled. Each different load has a specific consumption profile and user requirement. In the proposed case study, the residential consumers share a pool of energy resources that need to be allocated by the energy server whose aim is to minimize the imports related to such a group. The proposed solution shows qualitative advantages compared to the existing approaches in relation to computational complexity, fairness of the resource allocation outcomes and effectiveness in peak reduction. We demonstrate our solution based on three different representative flexible loads; namely, electric vehicles, saunas and dishwashers. The numerical results show the efficacy of the proposed solution for three different representative examples, demonstrating the advantages and drawbacks of different allocation rules.https://www.mdpi.com/1996-1073/13/3/699demand-side managementenergy internetpacketized energy managementenergy allocation
collection DOAJ
language English
format Article
sources DOAJ
author Mauricio de Castro Tomé
Pedro H. J. Nardelli
Hafiz Majid Hussain
Sohail Wahid
Arun Narayanan
spellingShingle Mauricio de Castro Tomé
Pedro H. J. Nardelli
Hafiz Majid Hussain
Sohail Wahid
Arun Narayanan
A Cyber-Physical Residential Energy Management System via Virtualized Packets
Energies
demand-side management
energy internet
packetized energy management
energy allocation
author_facet Mauricio de Castro Tomé
Pedro H. J. Nardelli
Hafiz Majid Hussain
Sohail Wahid
Arun Narayanan
author_sort Mauricio de Castro Tomé
title A Cyber-Physical Residential Energy Management System via Virtualized Packets
title_short A Cyber-Physical Residential Energy Management System via Virtualized Packets
title_full A Cyber-Physical Residential Energy Management System via Virtualized Packets
title_fullStr A Cyber-Physical Residential Energy Management System via Virtualized Packets
title_full_unstemmed A Cyber-Physical Residential Energy Management System via Virtualized Packets
title_sort cyber-physical residential energy management system via virtualized packets
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2020-02-01
description This paper proposes a cyber-physical system to manage flexible residential loads based on virtualized energy packets. Before being used, flexible loads need to request packets to an energy server, which may be granted or not. If granted, the energy server guarantees that the request will be fulfilled. Each different load has a specific consumption profile and user requirement. In the proposed case study, the residential consumers share a pool of energy resources that need to be allocated by the energy server whose aim is to minimize the imports related to such a group. The proposed solution shows qualitative advantages compared to the existing approaches in relation to computational complexity, fairness of the resource allocation outcomes and effectiveness in peak reduction. We demonstrate our solution based on three different representative flexible loads; namely, electric vehicles, saunas and dishwashers. The numerical results show the efficacy of the proposed solution for three different representative examples, demonstrating the advantages and drawbacks of different allocation rules.
topic demand-side management
energy internet
packetized energy management
energy allocation
url https://www.mdpi.com/1996-1073/13/3/699
work_keys_str_mv AT mauriciodecastrotome acyberphysicalresidentialenergymanagementsystemviavirtualizedpackets
AT pedrohjnardelli acyberphysicalresidentialenergymanagementsystemviavirtualizedpackets
AT hafizmajidhussain acyberphysicalresidentialenergymanagementsystemviavirtualizedpackets
AT sohailwahid acyberphysicalresidentialenergymanagementsystemviavirtualizedpackets
AT arunnarayanan acyberphysicalresidentialenergymanagementsystemviavirtualizedpackets
AT mauriciodecastrotome cyberphysicalresidentialenergymanagementsystemviavirtualizedpackets
AT pedrohjnardelli cyberphysicalresidentialenergymanagementsystemviavirtualizedpackets
AT hafizmajidhussain cyberphysicalresidentialenergymanagementsystemviavirtualizedpackets
AT sohailwahid cyberphysicalresidentialenergymanagementsystemviavirtualizedpackets
AT arunnarayanan cyberphysicalresidentialenergymanagementsystemviavirtualizedpackets
_version_ 1724566865599004672