About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
ew 24(1):

Research Article

Optimization and privacy protection of microgrid power trading system based on attribute encryption technology

Download151 downloads
Cite
BibTeX Plain Text
  • @ARTICLE{10.4108/ew.5431,
        author={Kangqian Huang and Xin Hu and Rui Zhou and Dejun Xiang},
        title={Optimization and privacy protection of microgrid power trading system based on attribute encryption technology},
        journal={EAI Endorsed Transactions on Energy Web},
        volume={11},
        number={1},
        publisher={EAI},
        journal_a={EW},
        year={2024},
        month={12},
        keywords={Microgrid Optimization, Privacy Protection, Power Trading System, Attribute-Based Encryption, Energy Security},
        doi={10.4108/ew.5431}
    }
    
  • Kangqian Huang
    Xin Hu
    Rui Zhou
    Dejun Xiang
    Year: 2024
    Optimization and privacy protection of microgrid power trading system based on attribute encryption technology
    EW
    EAI
    DOI: 10.4108/ew.5431
Kangqian Huang1,*, Xin Hu1,*, Rui Zhou1,*, Dejun Xiang1,*
  • 1: Information Data Department Guangdong Electric Power Trading Center Co. Ltd., Guangzhou, Guangdong 510000, China
*Contact email: 278271099@qq.com, 278271099@qq.com, 278271099@qq.com, 278271099@qq.com

Abstract

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.

Keywords
Microgrid Optimization, Privacy Protection, Power Trading System, Attribute-Based Encryption, Energy Security
Received
2024-12-04
Accepted
2024-12-04
Published
2024-12-04
Publisher
EAI
http://dx.doi.org/10.4108/ew.5431

Copyright © 2024 Huang et al., licensed to EAI. This is an open access article distributed under the terms of the CC BYNC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL