A novel distributed privacy‐preserving control and data collection method for IoT‐centric microgrids
Abstract The privacy of electricity consumers has become one of the most critical subjects in designing smart meters and their proliferation. In this work, a multilayer architecture has been proposed for anonymous data collection from smart meters, which provides: (1) The anonymity of information fo...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-05-01
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| Series: | IET Generation, Transmission & Distribution |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/gtd2.12803 |
| _version_ | 1797824350897831936 |
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| author | Seyed Amir Alavi Mehrnaz Javadipour Ardavan Rahimian Kamyar Mehran |
| author_facet | Seyed Amir Alavi Mehrnaz Javadipour Ardavan Rahimian Kamyar Mehran |
| author_sort | Seyed Amir Alavi |
| collection | DOAJ |
| description | Abstract The privacy of electricity consumers has become one of the most critical subjects in designing smart meters and their proliferation. In this work, a multilayer architecture has been proposed for anonymous data collection from smart meters, which provides: (1) The anonymity of information for third‐party data consumers; (2) Secure communication to utility provider network for billing purposes; (3) Online control of data sharing for end‐users; (4) Low communication costs based on available Internet of things (IoT) communication protocols. The core elements of this architecture are, first, the digital twin equivalent of the cyber‐physical system and, second, the Tangle distributed ledger network with IOTA cryptocurrency. In this architecture, digital twin models are updated in real‐time by information received from trusted nodes of the Tangle distributed network anonymously. A small‐scale laboratory prototype based on this architecture has been developed using the dSPACE SCALEXIO real‐time simulator and open‐source software tools to prove the feasibility of the proposed solution. The numerical results confirm that after a few seconds of anomaly detection, the microgrid was fully stabilized around its operating point with less than 5% deviation during the transition time. |
| first_indexed | 2024-03-13T10:37:40Z |
| format | Article |
| id | doaj.art-0d3c3d3e331f491aa53ba0f98297926b |
| institution | Directory Open Access Journal |
| issn | 1751-8687 1751-8695 |
| language | English |
| last_indexed | 2024-03-13T10:37:40Z |
| publishDate | 2023-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Generation, Transmission & Distribution |
| spelling | doaj.art-0d3c3d3e331f491aa53ba0f98297926b2023-05-18T05:19:43ZengWileyIET Generation, Transmission & Distribution1751-86871751-86952023-05-0117102249225910.1049/gtd2.12803A novel distributed privacy‐preserving control and data collection method for IoT‐centric microgridsSeyed Amir Alavi0Mehrnaz Javadipour1Ardavan Rahimian2Kamyar Mehran3School of Electronic Engineering and Computer Science Queen Mary University of London London UKSchool of Electronic Engineering and Computer Science Queen Mary University of London London UKSchool of Engineering Ulster University Belfast UKSchool of Electronic Engineering and Computer Science Queen Mary University of London London UKAbstract The privacy of electricity consumers has become one of the most critical subjects in designing smart meters and their proliferation. In this work, a multilayer architecture has been proposed for anonymous data collection from smart meters, which provides: (1) The anonymity of information for third‐party data consumers; (2) Secure communication to utility provider network for billing purposes; (3) Online control of data sharing for end‐users; (4) Low communication costs based on available Internet of things (IoT) communication protocols. The core elements of this architecture are, first, the digital twin equivalent of the cyber‐physical system and, second, the Tangle distributed ledger network with IOTA cryptocurrency. In this architecture, digital twin models are updated in real‐time by information received from trusted nodes of the Tangle distributed network anonymously. A small‐scale laboratory prototype based on this architecture has been developed using the dSPACE SCALEXIO real‐time simulator and open‐source software tools to prove the feasibility of the proposed solution. The numerical results confirm that after a few seconds of anomaly detection, the microgrid was fully stabilized around its operating point with less than 5% deviation during the transition time.https://doi.org/10.1049/gtd2.12803Distributed systemIOTAMicrogridPrivacySmart meterTangle |
| spellingShingle | Seyed Amir Alavi Mehrnaz Javadipour Ardavan Rahimian Kamyar Mehran A novel distributed privacy‐preserving control and data collection method for IoT‐centric microgrids IET Generation, Transmission & Distribution Distributed system IOTA Microgrid Privacy Smart meter Tangle |
| title | A novel distributed privacy‐preserving control and data collection method for IoT‐centric microgrids |
| title_full | A novel distributed privacy‐preserving control and data collection method for IoT‐centric microgrids |
| title_fullStr | A novel distributed privacy‐preserving control and data collection method for IoT‐centric microgrids |
| title_full_unstemmed | A novel distributed privacy‐preserving control and data collection method for IoT‐centric microgrids |
| title_short | A novel distributed privacy‐preserving control and data collection method for IoT‐centric microgrids |
| title_sort | novel distributed privacy preserving control and data collection method for iot centric microgrids |
| topic | Distributed system IOTA Microgrid Privacy Smart meter Tangle |
| url | https://doi.org/10.1049/gtd2.12803 |
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