IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i4p881-d321509.html
   My bibliography  Save this article

Blockchain Technology for Information Security of the Energy Internet: Fundamentals, Features, Strategy and Application

Author

Listed:
  • Zilong Zeng

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • Yong Li

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • Yijia Cao

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • Yirui Zhao

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • Junjie Zhong

    (College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

  • Denis Sidorov

    (Energy Systems Institute, Russian Academy of Sciences, 664033 Irkutsk, Russia)

  • Xiangcheng Zeng

    (Xinning Electric Power Supply Company of State Grid Hunan Electric Power Company, Xinning 422700, China)

Abstract

In order to ensure the information security, most of the important information including the data of advanced metering infrastructure (AMI) in the energy internet is currently transmitted and exchanged through the intranet or the carrier communication. The former increases the cost of network construction, and the latter is susceptible to interference and attacks in the process of information dissemination. The blockchain is an emerging decentralized architecture and distributed computing paradigm. Under the premise that these nodes do not need mutual trust, the blockchain can implement trusted peer-to-peer communication for protecting the important information by adopting distributed consensus mechanisms, encryption algorithms, point-to-point transmission and smart contracts. In response to the above issues, this paper firstly analyzes the information security problems existing in the energy internet from the four perspectives of system control layer, device access, market transaction and user privacy. Then blockchain technology is introduced, and its working principles and technical characteristics are analyzed. Based on the technical characteristics, we propose the multilevel and multichain information transmission model for the weak centralization of scheduling and the decentralization of transaction. Furthermore, we discuss that the information transmission model helps solve some of the information security issues from the four perspectives of system control, device access, market transaction and user privacy. Application examples are used to illustrate the technical features that benefited from the blockchain for the information security of the energy internet.

Suggested Citation

  • Zilong Zeng & Yong Li & Yijia Cao & Yirui Zhao & Junjie Zhong & Denis Sidorov & Xiangcheng Zeng, 2020. "Blockchain Technology for Information Security of the Energy Internet: Fundamentals, Features, Strategy and Application," Energies, MDPI, vol. 13(4), pages 1-24, February.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:4:p:881-:d:321509
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/4/881/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/4/881/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Olamide Jogunola & Augustine Ikpehai & Kelvin Anoh & Bamidele Adebisi & Mohammad Hammoudeh & Sung-Yong Son & Georgina Harris, 2017. "State-Of-The-Art and Prospects for Peer-To-Peer Transaction-Based Energy System," Energies, MDPI, vol. 10(12), pages 1-28, December.
    2. Felipe Condon Silva & Mohamed A. Ahmed & José Manuel Martínez & Young-Chon Kim, 2019. "Design and Implementation of a Blockchain-Based Energy Trading Platform for Electric Vehicles in Smart Campus Parking Lots," Energies, MDPI, vol. 12(24), pages 1-25, December.
    3. Wadim Strielkowski & Dalia Streimikiene & Alena Fomina & Elena Semenova, 2019. "Internet of Energy (IoE) and High-Renewables Electricity System Market Design," Energies, MDPI, vol. 12(24), pages 1-17, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wu, Ying & Wu, Yanpeng & Guerrero, Josep M. & Vasquez, Juan C., 2021. "A comprehensive overview of framework for developing sustainable energy internet: From things-based energy network to services-based management system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    2. Feng Xue & Kang Chang & Wei Li & Qin Wang & Haitao Zhao & Hui Zhang & Yiyang Ni & Wenchao Xia, 2022. "Blockchain Smart Contract-Enabled Secure Energy Trading for Electric Vehicles," Energies, MDPI, vol. 15(18), pages 1-15, September.
    3. Xiu Guan & Xiang Feng & A.Y.M. Atiquil Islam, 2023. "The dilemma and countermeasures of educational data ethics in the age of intelligence," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    4. Muhammad Waseem & Muhammad Adnan Khan & Arman Goudarzi & Shah Fahad & Intisar Ali Sajjad & Pierluigi Siano, 2023. "Incorporation of Blockchain Technology for Different Smart Grid Applications: Architecture, Prospects, and Challenges," Energies, MDPI, vol. 16(2), pages 1-29, January.
    5. Aleksander Jakimowicz, 2022. "The Energy Transition as a Super Wicked Problem: The Energy Sector in the Era of Prosumer Capitalism," Energies, MDPI, vol. 15(23), pages 1-31, December.
    6. Denis Sidorov & Fang Liu & Yonghui Sun, 2020. "Machine Learning for Energy Systems," Energies, MDPI, vol. 13(18), pages 1-6, September.
    7. Xiaojun Wen & Yongzhi Chen & Wei Zhang & Zoe L. Jiang & Junbin Fang, 2022. "Blockchain Consensus Mechanism Based on Quantum Teleportation," Mathematics, MDPI, vol. 10(14), pages 1-9, July.
    8. Zishan Guo & Zhenya Ji & Qi Wang, 2020. "Blockchain-Enabled Demand Response Scheme with Individualized Incentive Pricing Mode," Energies, MDPI, vol. 13(19), pages 1-17, October.
    9. Kirli, Desen & Couraud, Benoit & Robu, Valentin & Salgado-Bravo, Marcelo & Norbu, Sonam & Andoni, Merlinda & Antonopoulos, Ioannis & Negrete-Pincetic, Matias & Flynn, David & Kiprakis, Aristides, 2022. "Smart contracts in energy systems: A systematic review of fundamental approaches and implementations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    10. Niloofar Etemadi & Pieter Van Gelder & Fernanda Strozzi, 2021. "An ISM Modeling of Barriers for Blockchain/Distributed Ledger Technology Adoption in Supply Chains towards Cybersecurity," Sustainability, MDPI, vol. 13(9), pages 1-28, April.
    11. Hamzah Khan & Tariq Masood, 2022. "Impact of Blockchain Technology on Smart Grids," Energies, MDPI, vol. 15(19), pages 1-27, September.
    12. Orestis Delardas & Panagiotis Giannos, 2022. "Towards Energy Transition: Use of Blockchain in Renewable Certificates to Support Sustainability Commitments," Sustainability, MDPI, vol. 15(1), pages 1-16, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Koo-Hyung Chung & Don Hur, 2020. "Towards the Design of P2P Energy Trading Scheme Based on Optimal Energy Scheduling for Prosumers," Energies, MDPI, vol. 13(19), pages 1-15, October.
    2. Matija Kostelac & Lin Herenčić & Tomislav Capuder, 2022. "Planning and Operational Aspects of Individual and Clustered Multi-Energy Microgrid Options," Energies, MDPI, vol. 15(4), pages 1-17, February.
    3. Thomas Pownall & Iain Soutar & Catherine Mitchell, 2021. "Re-Designing GB’s Electricity Market Design: A Conceptual Framework Which Recognises the Value of Distributed Energy Resources," Energies, MDPI, vol. 14(4), pages 1-26, February.
    4. Andreea Loredana Bîrgovan & Elena Simina Lakatos & Andrea Szilagyi & Lucian Ionel Cioca & Roxana Lavinia Pacurariu & George Ciobanu & Elena Cristina Rada, 2022. "How Should We Measure? A Review of Circular Cities Indicators," IJERPH, MDPI, vol. 19(9), pages 1-16, April.
    5. Pavlos S. Georgilakis, 2020. "Review of Computational Intelligence Methods for Local Energy Markets at the Power Distribution Level to Facilitate the Integration of Distributed Energy Resources: State-of-the-art and Future Researc," Energies, MDPI, vol. 13(1), pages 1-37, January.
    6. Tushar, Wayes & Saha, Tapan Kumar & Yuen, Chau & Azim, M. Imran & Morstyn, Thomas & Poor, H. Vincent & Niyato, Dustin & Bean, Richard, 2020. "A coalition formation game framework for peer-to-peer energy trading," Applied Energy, Elsevier, vol. 261(C).
    7. Chris Johnathon & Ashish Prakash Agalgaonkar & Joel Kennedy & Chayne Planiden, 2021. "Analyzing Electricity Markets with Increasing Penetration of Large-Scale Renewable Power Generation," Energies, MDPI, vol. 14(22), pages 1-15, November.
    8. Min Hee Chung, 2020. "Comparison of Economic Feasibility for Efficient Peer-to-Peer Electricity Trading of PV-Equipped Residential House in Korea," Energies, MDPI, vol. 13(14), pages 1-21, July.
    9. Mehdi Montakhabi & Ine Van Zeeland & Pieter Ballon, 2022. "Barriers for Prosumers’ Open Business Models: A Resource-Based View on Assets and Data-Sharing in Electricity Markets," Sustainability, MDPI, vol. 14(9), pages 1-29, May.
    10. Wadim Strielkowski & Andrey Vlasov & Kirill Selivanov & Konstantin Muraviev & Vadim Shakhnov, 2023. "Prospects and Challenges of the Machine Learning and Data-Driven Methods for the Predictive Analysis of Power Systems: A Review," Energies, MDPI, vol. 16(10), pages 1-31, May.
    11. Georgarakis, Elena & Bauwens, Thomas & Pronk, Anne-Marie & AlSkaif, Tarek, 2021. "Keep it green, simple and socially fair: A choice experiment on prosumers’ preferences for peer-to-peer electricity trading in the Netherlands," Energy Policy, Elsevier, vol. 159(C).
    12. Ki-Beom Lee & Mohamed A. Ahmed & Dong-Ki Kang & Young-Chon Kim, 2020. "Deep Reinforcement Learning Based Optimal Route and Charging Station Selection," Energies, MDPI, vol. 13(23), pages 1-22, November.
    13. Kristie Kaminski Küster & Daniel Gebbran & Alexandre Rasi Aoki & Germano Lambert-Torres & Daniel Navarro-Gevers & Patrício Rodolfo Impinisi & Cleverson Luiz da Silva Pinto, 2023. "Adoption of Local Peer-to-Peer Energy Markets: Technical and Economical Perspectives for Utilities," Energies, MDPI, vol. 16(5), pages 1-24, March.
    14. Lei, Yu-Tian & Ma, Chao-Qun & Mirza, Nawazish & Ren, Yi-Shuai & Narayan, Seema Wati & Chen, Xun-Qi, 2022. "A renewable energy microgrids trading management platform based on permissioned blockchain," Energy Economics, Elsevier, vol. 115(C).
    15. Christie Etukudor & Benoit Couraud & Valentin Robu & Wolf-Gerrit Früh & David Flynn & Chinonso Okereke, 2020. "Automated Negotiation for Peer-to-Peer Electricity Trading in Local Energy Markets," Energies, MDPI, vol. 13(4), pages 1-19, February.
    16. D’Amico, Gaspare & Arbolino, Roberta & Shi, Lei & Yigitcanlar, Tan & Ioppolo, Giuseppe, 2022. "Digitalisation driven urban metabolism circularity: A review and analysis of circular city initiatives," Land Use Policy, Elsevier, vol. 112(C).
    17. Sousa, Tiago & Soares, Tiago & Pinson, Pierre & Moret, Fabio & Baroche, Thomas & Sorin, Etienne, 2019. "Peer-to-peer and community-based markets: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 104(C), pages 367-378.
    18. Agyekum, Ephraim Bonah & Amjad, Fahd & Mohsin, Muhammad & Ansah, Michael Nii Sanka, 2021. "A bird's eye view of Ghana's renewable energy sector environment: A Multi-Criteria Decision-Making approach," Utilities Policy, Elsevier, vol. 70(C).
    19. Kirli, Desen & Couraud, Benoit & Robu, Valentin & Salgado-Bravo, Marcelo & Norbu, Sonam & Andoni, Merlinda & Antonopoulos, Ioannis & Negrete-Pincetic, Matias & Flynn, David & Kiprakis, Aristides, 2022. "Smart contracts in energy systems: A systematic review of fundamental approaches and implementations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    20. Sandra Giraldo & David la Rotta & César Nieto-Londoño & Rafael E. Vásquez & Ana Escudero-Atehortúa, 2021. "Digital Transformation of Energy Companies: A Colombian Case Study," Energies, MDPI, vol. 14(9), pages 1-14, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:13:y:2020:i:4:p:881-:d:321509. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.