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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Main Authors: Oriol Alàs, Francesc Sebé
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Applied Sciences
Subjects:
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.
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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