Optimization and privacy protection of microgrid power trading system based on attribute encryption technology
This paper presents an effective technique and approach to deal with the dual challenges of performance optimization and privacy protection in microgrid power trading systems (MPTS) by utilizing attribute encryption technology. By embedding advanced cryptographic techniques into the operational sub...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
European Alliance for Innovation (EAI)
2024-03-01
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| Series: | EAI Endorsed Transactions on Energy Web |
| Subjects: | |
| Online Access: | https://publications.eai.eu/index.php/ew/article/view/5431 |
| _version_ | 1797260609939570688 |
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| author | Kangqian Huang Xin Hu Rui Zhou Dejun Xiang |
| author_facet | Kangqian Huang Xin Hu Rui Zhou Dejun Xiang |
| author_sort | Kangqian Huang |
| collection | DOAJ |
| description |
This paper presents an effective technique and approach to deal with the dual challenges of performance optimization and privacy protection in microgrid power trading systems (MPTS) by utilizing attribute encryption technology. By embedding advanced cryptographic techniques into the operational substrate of microgrids, we introduce a novel approach to dramatically enhance the efficiency of energy distribution, while guaranteeing the privacy protection and integrity of participant data. The core objective of this technique is the application of attribute-based encryption (ABE), a method that offers fine-grained access control, ensuring sensitive information is made available only to eligible users based on their attributes, rather than their identities. In doing so, it meets the important requirement of securing data, without impairing the overall productivity of a power trading system. This paper presents a novel technique of ABE in the domain of MPTS, but also quantifies, through extensive theoretical analysis and simulations, how this integration leads to superior energy resource allocation and lower operational costs.
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| first_indexed | 2024-04-24T23:28:03Z |
| format | Article |
| id | doaj.art-5324fceb769b40c08c332e495c3f3be4 |
| institution | Directory Open Access Journal |
| issn | 2032-944X |
| language | English |
| last_indexed | 2024-04-24T23:28:03Z |
| publishDate | 2024-03-01 |
| publisher | European Alliance for Innovation (EAI) |
| record_format | Article |
| series | EAI Endorsed Transactions on Energy Web |
| spelling | doaj.art-5324fceb769b40c08c332e495c3f3be42024-03-15T18:58:49ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Energy Web2032-944X2024-03-011110.4108/ew.5431Optimization and privacy protection of microgrid power trading system based on attribute encryption technologyKangqian Huang0Xin Hu1Rui Zhou2Dejun Xiang3Information Data Department Guangdong Electric Power Trading Center Co. Ltd., Guangzhou, Guangdong 510000, ChinaInformation Data Department Guangdong Electric Power Trading Center Co. Ltd., Guangzhou, Guangdong 510000, ChinaInformation Data Department Guangdong Electric Power Trading Center Co. Ltd., Guangzhou, Guangdong 510000, ChinaInformation Data Department Guangdong Electric Power Trading Center Co. Ltd., Guangzhou, Guangdong 510000, China This paper presents an effective technique and approach to deal with the dual challenges of performance optimization and privacy protection in microgrid power trading systems (MPTS) by utilizing attribute encryption technology. By embedding advanced cryptographic techniques into the operational substrate of microgrids, we introduce a novel approach to dramatically enhance the efficiency of energy distribution, while guaranteeing the privacy protection and integrity of participant data. The core objective of this technique is the application of attribute-based encryption (ABE), a method that offers fine-grained access control, ensuring sensitive information is made available only to eligible users based on their attributes, rather than their identities. In doing so, it meets the important requirement of securing data, without impairing the overall productivity of a power trading system. This paper presents a novel technique of ABE in the domain of MPTS, but also quantifies, through extensive theoretical analysis and simulations, how this integration leads to superior energy resource allocation and lower operational costs. https://publications.eai.eu/index.php/ew/article/view/5431Microgrid OptimizationPrivacy ProtectionPower Trading SystemAttribute-Based EncryptionEnergy Security |
| spellingShingle | Kangqian Huang Xin Hu Rui Zhou Dejun Xiang Optimization and privacy protection of microgrid power trading system based on attribute encryption technology EAI Endorsed Transactions on Energy Web Microgrid Optimization Privacy Protection Power Trading System Attribute-Based Encryption Energy Security |
| title | Optimization and privacy protection of microgrid power trading system based on attribute encryption technology |
| title_full | Optimization and privacy protection of microgrid power trading system based on attribute encryption technology |
| title_fullStr | Optimization and privacy protection of microgrid power trading system based on attribute encryption technology |
| title_full_unstemmed | Optimization and privacy protection of microgrid power trading system based on attribute encryption technology |
| title_short | Optimization and privacy protection of microgrid power trading system based on attribute encryption technology |
| title_sort | optimization and privacy protection of microgrid power trading system based on attribute encryption technology |
| topic | Microgrid Optimization Privacy Protection Power Trading System Attribute-Based Encryption Energy Security |
| url | https://publications.eai.eu/index.php/ew/article/view/5431 |
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