Privacy-Preserving Electricity Trading for Connected Microgrids
The electricity market is evolving from the traditional unidirectional model into a bidirectional one in which households also generate and sell energy. This new scenario requires technology able to manage the available energy and guarantee that all the participants pay or are paid appropriately. Un...
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Format: | Article |
Language: | English |
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MDPI AG
2024-02-01
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Series: | Applied Sciences |
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Online Access: | https://www.mdpi.com/2076-3417/14/4/1458 |
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author | Oriol Alàs Francesc Sebé |
author_facet | Oriol Alàs Francesc Sebé |
author_sort | Oriol Alàs |
collection | DOAJ |
description | The electricity market is evolving from the traditional unidirectional model into a bidirectional one in which households also generate and sell energy. This new scenario requires technology able to manage the available energy and guarantee that all the participants pay or are paid appropriately. Unfortunately, fine-grained monitoring of energy production and consumption makes it possible to infer sensitive information about confidential aspects of people’s private life. In this paper, we propose a system designed for privacy-preserving electricity trading in a connected microgrid. The system guarantees that at the end of a billing period, the distribution system operator can compute the quantity to be charged or paid to each household while being unable to trace its consumption details. |
first_indexed | 2024-03-07T22:43:39Z |
format | Article |
id | doaj.art-8c29764f31864b5183ca26094c691f08 |
institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-03-07T22:43:39Z |
publishDate | 2024-02-01 |
publisher | MDPI AG |
record_format | Article |
series | Applied Sciences |
spelling | doaj.art-8c29764f31864b5183ca26094c691f082024-02-23T15:06:03ZengMDPI AGApplied Sciences2076-34172024-02-01144145810.3390/app14041458Privacy-Preserving Electricity Trading for Connected MicrogridsOriol Alàs0Francesc Sebé1Department of Mathematics, University of Lleida, C.Jaume II, 69, E-25001 Lleida, SpainDepartment of Mathematics, University of Lleida, C.Jaume II, 69, E-25001 Lleida, SpainThe electricity market is evolving from the traditional unidirectional model into a bidirectional one in which households also generate and sell energy. This new scenario requires technology able to manage the available energy and guarantee that all the participants pay or are paid appropriately. Unfortunately, fine-grained monitoring of energy production and consumption makes it possible to infer sensitive information about confidential aspects of people’s private life. In this paper, we propose a system designed for privacy-preserving electricity trading in a connected microgrid. The system guarantees that at the end of a billing period, the distribution system operator can compute the quantity to be charged or paid to each household while being unable to trace its consumption details.https://www.mdpi.com/2076-3417/14/4/1458microgridprivacysecurity |
spellingShingle | Oriol Alàs Francesc Sebé Privacy-Preserving Electricity Trading for Connected Microgrids Applied Sciences microgrid privacy security |
title | Privacy-Preserving Electricity Trading for Connected Microgrids |
title_full | Privacy-Preserving Electricity Trading for Connected Microgrids |
title_fullStr | Privacy-Preserving Electricity Trading for Connected Microgrids |
title_full_unstemmed | Privacy-Preserving Electricity Trading for Connected Microgrids |
title_short | Privacy-Preserving Electricity Trading for Connected Microgrids |
title_sort | privacy preserving electricity trading for connected microgrids |
topic | microgrid privacy security |
url | https://www.mdpi.com/2076-3417/14/4/1458 |
work_keys_str_mv | AT oriolalas privacypreservingelectricitytradingforconnectedmicrogrids AT francescsebe privacypreservingelectricitytradingforconnectedmicrogrids |