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All issues Volume 236 (2021) E3S Web Conf., 236 (2021) 02011 References
Open Access
Issue
E3S Web Conf.
Volume 236, 2021
3rd International Conference on Energy Resources and Sustainable Development (ICERSD 2020)
Article Number 02011
Number of page(s) 4
Section New Energy Technology and Clean Energy Production and Transformation
DOI https://doi.org/10.1051/e3sconf/202123602011
Published online 09 February 2021
  1. Deng Jianling. Concept and development mode of energy Internet [J]. Power automation equipment, 2016,36 (03): 1-5 [Google Scholar]
  2. Zeng Ming, Peng Lilin, sun Jinghui, Liu Wei, Wu Geng. Economic optimal operation of distributed energy system compatible with demand side controllable resources and its solution algorithm [J]. Power grid technology, 2016,40 (06): 1650-1656 [Google Scholar]
  3. Wang Yanling, Li Bei, Cui hang. Comprehensive value analysis of natural gas distributed energy station [J]. Power system automation, 2016,40 (01): 136-142 [Google Scholar]
  4. Li Bin, Cao Wangzhang, Qi Bing, Sun Yi, Guo Nai, Su Yun, Cui Gaoying. Overview of application of block chain technology in power auxiliary service field [J]. Power grid technology, 2017,41 (03): 736-744 [Google Scholar]
  5. Zhang Jun, Gao Wenzhong, Zhang Yingchen, Zheng Xinhu, Yang Liuqing, Hao Jun, Dai Xiaoxiao. Intelligent distributed power system running on blockchain: demand, concept, method and prospect [J]. Acta automatica Sinica, 2017,43 (09): 1544-1554 [Google Scholar]
  6. Tai Xue, sun Hongbin, Guo Qinglai. Power transaction and congestion management method based on blockchain in energy Internet [J]. Power grid technology, 2016,40 (12): 3630-3638 [Google Scholar]
  7. Wu Geng, Zeng Bo, Li Ran, Zeng Ming. Research on application mode of blockchain technology in comprehensive demand side response resource transaction [J]. Chinese Journal of electrical engineering, 2017,37 (13): 3717-3728 [Google Scholar]
  8. Ping Jian, Chen Sijie, Zhang Ning, Yan Zheng, Yao Liangzhong. Decentralized transaction mechanism of distribution network based on smart contract [J]. Chinese Journal of electrical engineering, 2017,37 (13): 3682-3690 [Google Scholar]
  9. Shi Quansheng, Liu Kun, Wen Mi. Trans provincial generation rights trading model based on blockchain technology [J]. Electric power construction, 2017,38 (09): 15-23 [Google Scholar]
  10. [Ji bin, Tan Jiancheng. Preliminary study on distributed micro energy trading in distribution side using blockchain technology [J]. Modern power, 2019,36 (01): 29-36 [Google Scholar]
  11. Kang J, Yu R, Huang X, et al. Enabling Localized Peer-to-Peer Electricity Trading Among Plug-in Hybrid Electric Vehicles Using Consortium Blockchains[J]. IEEE Transactions on Industrial Informatics, 2017, PP(6):1-1. [Google Scholar]
  12. Sabounchi M, Wei J. Towards resilient networked microgrids: Blockchain-enabled peer-to-peer electricity trading mechanism[C]//IEEE Conference on Energy Internet & Energy System Integration. IEEE, 2017. [Google Scholar]
  13. Chen Weili, Zheng Zibin. Blockchain data analysis: current situation, trend and challenge [J]. Computer research and development, 2018,55 (09): 1853-1870 [Google Scholar]
  14. [Lu Jing, song bin, Xiang Wanhong, Zhou Zhiming. Smart contract for power market transaction settlement based on blockchain [J]. Computer system application, 2017,26 (12): 43-50 [Google Scholar]
  15. Chen S, Liu C C. From demand response to transactive energy: state of the art[J]. Journal of Modern Power Systems and Clean Energy, 2017(1). [Google Scholar]
  16. Zhang Yong, Li Xiaohui. Research and implementation of an improved blockchain consensus mechanism [J]. Electronic design engineering, 2018,26 (01): 38-42 + 47 [Google Scholar]
  17. Teixeira Brígida, Tiago P, Francisco S, et al. Multi-Agent Decision Support Tool to Enable Interoperability among Heterogeneous Energy Systems[J]. Applied Sciences, 2018, 8(3):328. [Google Scholar]
  18. Sharma P K, Chen M Y, Park J H. A Software Defined Fog Node Based Distributed Blockchain Cloud Architecture for IoT[J]. IEEE Access, 2018, 6:115-124. [Google Scholar]
  19. Ma Tiannan, Du Ying, Gou Quanfeng, Peng Lilin, Wang Chao, He Puyu. Multi-agent non-cooperative game competition model of power market based on Berge-NS equilibrium [J]. Electric Power Automation Equipment, 2019, 39(06): 192-204. [Google Scholar]

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