基于区块链的能源互联网大数据知识共享模型

doi:10.12204/j.issn.1000-7229.2022.03.013

电力建设 ›› 2022, Vol. 43 ›› Issue (3): 123-130.doi: 10.12204/j.issn.1000-7229.2022.03.013

基于区块链的能源互联网大数据知识共享模型

席嫣娜¹^,²(), 张宏宇¹^,²(), 高鑫¹(), 杨铭³(), 梁惠施³(), 周奎³()

1.国网北京市电力公司,北京市 100031
2.北京电力经济技术研究院有限公司,北京市 100055
3.清华四川能源互联网研究院,成都市 610213

收稿日期:2021-10-27 出版日期:2022-03-01 发布日期:2022-03-24
作者简介:席嫣娜(1992),女,博士,工程师,主要研究方向为电力技术与大数据应用等,E-mail: xiyanna@163.com;
张宏宇(1983),男,博士,高级工程师,主要研究方向为电力工程与大数据应用等,E-mail: zhanghongyuz@bj.sgcc.com.cn;
高鑫(1979),男,硕士,高级工程师,主要研究方向为电子技术与软件工程等,E-mail: gaoxin@bj.sgcc.com.cn;
杨铭(1994),男,硕士,工程师,主要研究方向为电力系统仿真与电力大数据挖掘等,E-mail: yanggmingg@vip.qq.com;
梁惠施(1983),女,博士,高级工程师,主要研究方向为智能配电网、分布式电源接入、能源大数据分析、电池主动安全等,E-mail: lianghuishi@tsinghua-eiri.org;
周奎(1992),男,硕士,工程师,主要研究方向为智能配电网、能源大数据分析等,E-mail: zkmarx11@163.com。
基金资助:
国网北京市电力公司科技项目“能源大数据共享、挖掘与应用关键技术研究”

Knowledge Sharing Model Based on Blockchain forBig Data of Energy Internet

XI Yanna¹^,²(), ZHANG Hongyu¹^,²(), GAO Xin¹(), YANG Ming³(), LIANG Huishi³(), ZHOU Kui³()

1. State Grid Beijing Electric Power Company, Beijing 100031, China
2. Beijing Electric Power Economic and Technical Research Institute Co., Ltd., Beijing 100055, China
3. Sichuan Energy Internet Research Institute, Tsinghua University, Chengdu 610213, China

Received:2021-10-27 Online:2022-03-01 Published:2022-03-24
Supported by:
the Science and Technology Project of State Grid Beijing Electric Power Company

摘要/Abstract

摘要：

随着能源革命与数字革命的深度融合,大数据助力能源互联网创新发展已成必然趋势。传统能源数据的存储和利用形态是以企业为中心的信息孤岛,缺乏高效可靠的数据共享机制,直接阻碍了能源大数据的信息挖掘。针对这个问题,提出一种基于区块链的能源互联网大数据知识共享模型,其中基于云边协同的能源大数据知识提取架构解决了数据隐私难以保证、海量数据传输效率低及安全性差的问题,基于联盟区块链的知识共享模型为实体间的知识共享提供了可信、可靠的平台。所提出的架构可支持能源互联网背景下各实体间快捷高效地实现知识共享,具有高透明度、高可靠性、可追溯性的特点,为能源大数据的知识共享提供了新的解决思路。

关键词: 联盟区块链, 能源大数据, 知识共享, 云边协同

Abstract:

With the deep integration of the energy revolution and the digital revolution, it has become an inevitable trend for big data to help the innovation and development of the energy internet. The storage and utilization of traditional energy data is an enterprise-centered information island, lack of efficient and reliable data sharing mechanism, which directly hinders the information mining of energy big data. In response to this problem, this paper proposes a blockchain-based knowledge sharing model for big data of energy internet, in which the cloud-side collaboration-based knowledge extraction architecture of energy big data solves the problems of difficult data privacy guarantee, low mass data transmission efficiency and poor data security. The architecture proposed in this paper can support the rapid and efficient realization of knowledge sharing between entities under the background of the energy internet. It has the characteristics of high transparency, high reliability, and traceability, and it provides a new solution for the knowledge sharing of energy big data.

Key words: alliance blockchain, energy big data, knowledge sharing, cloud-edge collaboration

中图分类号:

TM73

席嫣娜, 张宏宇, 高鑫, 杨铭, 梁惠施, 周奎. 基于区块链的能源互联网大数据知识共享模型[J]. 电力建设, 2022, 43(3): 123-130.

XI Yanna, ZHANG Hongyu, GAO Xin, YANG Ming, LIANG Huishi, ZHOU Kui. Knowledge Sharing Model Based on Blockchain forBig Data of Energy Internet[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(3): 123-130.

图/表 6

图1 能源互联网构架及要素

Fig.1 Architecture and elements of energy Internet

图2 基于云边协同知识提取机制

Fig.2 Knowledge extraction based on cloud edge collaboration

图3 基于联盟区块链的数据共享架构

Fig.3 Data-sharing framework based on alliance blockchain

图4 基于云边协同的多层联邦学习构架

Fig.4 Multi-layer federated learning architecturebased on cloud-side collaboration

图5 纵向联邦学习模型示意图

Fig.5 Diagram of vertical federated learning mode

图6 基于联盟区块链的能源数据共享模型构架

Fig.6 Energy data sharing framework based onalliance blockchain

参考文献 22

[1]	康重庆. 能源互联网促进实现“双碳”目标[J]. 全球能源互联网, 2021, 4(3):205-206.
	KANG Chongqing. Energy Internet promotes the achievement of carbon peak and neutrality targets[J]. Journal of Global Energy Interconnection, 2021, 4(3):205-206.
[2]	董朝阳, 赵俊华, 文福拴, 等. 从智能电网到能源互联网: 基本概念与研究框架[J]. 电力系统自动化, 2014, 38(15):1-11.
	DONG Zhaoyang, ZHAO Junhua, WEN Fushuan, et al. From smart grid to energy Internet: Basic concept and research framework[J]. Automation of Electric Power Systems, 2014, 38(15):1-11.
[3]	刘翠玲, 徐敏, 张翠翠, 等. 基于企业中台云化构建及大数据分析研究[J]. 现代计算机, 2021(11):141-144.
	LIU Cuiling, XU Min, ZHANG Cuicui, et al. Research on cloudification construction and big data analysis based on enterprise middle stations[J]. Modern Computer, 2021(11):141-144.
[4]	刘永辉, 张显, 孙鸿雁, 等. 能源互联网背景下电力市场大数据应用探讨[J]. 电力系统自动化, 2021, 45(11):1-10.
	LIU Yonghui, ZHANG Xian, SUN Hongyan, et al. Discussion on application of big data in electricity market in background of energy Internet[J]. Automation of Electric Power Systems, 2021, 45(11):1-10.
[5]	鄢晶, 高天露, 张俊, 等. 边云链协同技术在能源互联网数据管理中的应用及展望[J]. 华电技术, 2020, 42(8):41-47.
	YAN Jing, GAO Tianlu, ZHANG Jun, et al. Application and prospect of edge-cloud-chain collaboration technologies for energy Internet data management[J]. Huadian Technology, 2020, 42(8):41-47.
[6]	王继业, 高灵超, 董爱强, 等. 基于区块链的数据安全共享网络体系研究[J]. 计算机研究与发展, 2017, 54(4):742-749.
	WANG Jiye, GAO Lingchao, DONG Aiqiang, et al. Block chain based data security sharing network architecture research[J]. Journal of Computer Research and Development, 2017, 54(4):742-749.
[7]	白健, 董贵山, 安红章, 等. 基于区块链的数据共享解决方案[J]. 信息安全与通信保密, 2021, 19(1):21-31.
	BAI Jian, DONG Guishan, AN Hongzhang, et al. Blockchain-based data sharing solution[J]. Information Security and Communications Privacy, 2021, 19(1):21-31.
[8]	佘佐超, 李喆, 刘浩宇. 基于区块链的电力数据共享研究初探[J]. 四川电力技术, 2020, 43(6):31-38.
	SHE Zuochao, LI Zhe, LIU Haoyu. Research on power data sharing based on blockchain[J]. Sichuan Electric Power Technology, 2020, 43(6):31-38.
[9]	孙保阳. 区块链技术发展现状与展望[J]. 数字通信世界, 2018(11):51.
[10]	田阳, 陈智罡, 宋新霞, 等. 区块链在供应链管理中的应用综述[J]. 计算机工程与应用, 2021, 57(19):70-83.
	TIAN Yang, CHEN Zhigang, SONG Xinxia, et al. Overview of blockchain application in supply chain management[J]. Computer Engineering and Applications, 2021, 57(19):70-83.
[11]	DI SILVESTRE M L, GALLO P, SANSEVERINO E R, et al. Aggregation and remuneration in demand response with a blockchain-based framework[J]. IEEE Transactions on Industry Applications, 2020, 56(4):4248-4257.
[12]	喻小宝, 郑丹丹. 区块链技术在能源电力领域的应用及展望[J]. 华电技术, 2020, 42(8):17-23.
	YU Xiaobao, ZHENG Dandan. Application and exploration of blockchain technology in energy and electricity[J]. Huadian Technology, 2020, 42(8):17-23.
[13]	王胜寒, 郭创新, 冯斌, 等. 区块链技术在电力系统中的应用:前景与思路[J]. 电力系统自动化, 2020, 44(11):10-24.
	WANG Shenghan, GUO Chuangxin, FENG Bin, et al. Application of blockchain technology in power systems: Prospects and ideas[J]. Automation of Electric Power Systems, 2020, 44(11):10-24.
[14]	邰雪, 孙宏斌, 郭庆来. 能源互联网中基于区块链的电力交易和阻塞管理方法[J]. 电网技术, 2016, 40(12):3630-3638.
	TAI Xue, SUN Hongbin, GUO Qinglai. Electricity transactions and congestion management based on blockchain in energy Internet[J]. Power System Technology, 2016, 40(12):3630-3638.
[15]	张俊, 王飞跃. 基于区块链的电网大数据数字资产管理架构[J]. 电力信息与通信技术, 2018, 16(8):1-7.
	ZHANG Jun, WANG Feiyue. Digital asset management system architecture based on blockchain for power grid big data[J]. Electric Power Information and Communication Technology, 2018, 16(8):1-7.
[16]	逯遥, 毛知新, 邱志斌. 区块链技术在能源物联网领域的发展与应用综述[J]. 广东电力, 2021, 34(7):1-12.
	LU Yao, MAO Zhixin, QIU Zhibin. Review of development and applications of blockchain technology in the field of energy Internet of things[J]. Guangdong Electric Power, 2021, 34(7):1-12.
[17]	葛纪红, 沈韬. 基于区块链的能源数据访问控制方法[J]. 计算机应用, 2021, 41(9):2615-2622. doi: 10.11772/j.issn.1001-9081.2020111844
	GE Jihong, SHEN Tao. Energy data access control method based on blockchain[J]. Journal of Computer Applications, 2021, 41(9):2615-2622. doi: 10.11772/j.issn.1001-9081.2020111844
[18]	杨佩, 蔡皓, 裘洪彬, 等. 面向能源互联网的大数据关键技术研究[J]. 电力信息与通信技术, 2016, 14(4):9-12.
	YANG Pei, CAI Hao, QIU Hongbin, et al. Research on key technologies of big data for energy interconnection[J]. Electric Power Information and Communication Technology, 2016, 14(4):9-12.
[19]	刘世成, 张东霞, 朱朝阳, 等. 能源互联网中大数据技术思考[J]. 电力系统自动化, 2016, 40(8):14-21, 56.
	LIU Shicheng, ZHANG Dongxia, ZHU Chaoyang, et al. A view on big data in energy Internet[J]. Automation of Electric Power Systems, 2016, 40(8):14-21, 56.
[20]	窦悦. 数据开放共享与个人隐私保护对策研究: 层次数据与算法问责[J]. 现代情报, 2021, 41(7):146-153.
	DOU Yue. Research on strategy of data open sharing and personal privacy protection: hierarchical data and algorithm accountability[J]. Journal of Modern Information, 2021, 41(7):146-153.
[21]	张依琳, 陈宇翔, 田晖, 等. 联邦学习在边缘计算场景中应用研究进展[J]. 小型微型计算机系统, 2021, 42(12):2645-2653.
	ZHANG Yilin, CHEN Yuxiang, TIAN Hui, et al. Survey on federated learning application on scenarios of edge computing[J]. Journal of Chinese Computer Systems, 2021, 42(12):2645-2653.
[22]	宋焘谊, 赵运磊. 区块链共识算法的比较研究[J]. 计算机应用与软件, 2018, 35(8):1-8.
	SONG Taoyi, ZHAO Yunlei. Comparison of blockchain consensus algorithm[J]. Computer Applications and Software, 2018, 35(8):1-8.

基于区块链的能源互联网大数据知识共享模型

Knowledge Sharing Model Based on Blockchain forBig Data of Energy Internet

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

图/表 6

参考文献 22

相关文章 3

编辑推荐

Metrics

本文评价

[1]	陈人杰, 李华取, 彭晓涛, 杨军, 董旭柱, 刘首文, 李祥杰. 基于改进TOPSIS的新能源大数据服务项目评价研究[J]. 电力建设, 2021, 42(3): 126-134.
[2]	陈明庆，李建林. 基于局部电压幅值与云边协同的分散式充电桩充电协调方法[J]. 电力建设, 2020, 41(6): 60-68.
[3]	于建成，王旭东，张东，杨宇全. 面向多元能源互联的天津生态城智能电网创新示范区建设[J]. 电力建设, 2015, 36(11): 58-63.