摘要
【目的/意义】伴随着新型电力系统的推进,电能质量问题日益复杂且多变,电能质量数据精准溯源的重要性日渐凸显,高效稳定的配电网电能质量数据存储与溯源方法已成为目前亟待解决的技术难题。【方法/过程】本研究以配电网电能质量数据为研究对象,对配电网电能质量数据与联盟链技术的融合机理进行分析,并结合联盟链和云计算技术构建基于联盟链的配电网电能质量数据存储与溯源模型,阐述该模型的运行机理;最后借助python、remix等开发工具进行仿真验证。【结果/结论】结果表明,本研究所提出的方案相较于同类型的传统中心化系统和常规区块链系统,在实现电能质量数据高效存储和溯源的同时,能有效降低系统时延性,提升电能质量数据的质量。【创新/局限】但随着信息库的积累,在运用联盟链技术处理配电网电能质量数据时,各环节的处理效率会存在限制,后续仍需进行不断提升。
【Purpose/significance】With the development of the new power system,the power quality problem is becoming increasingly complex and changeable.The importance of accurate traceability of power quality data is becoming increasingly prominent.Efficient and stable storage and traceability methods of power quality data in distribution networks have become a technical problem to be solved.【Method/process】This research takes the power quality data of the distribution network as the research object,analyzes the integration mechanism of the power quality data of the distribution network and the alliance chain technology,and combines the alliance chain and cloud computing technology to build the storage and traceability model of the power quality data of the distribution network based on the Alliance chain,and expounds the operation mechanism of the model.Finally,the simulation is carried out with the help of python,remix and other development tools.【Result/conclusion】The results show that compared with the traditional centralized system and the conventional blockchain system of the same type,the proposed scheme can effectively reduce the system time delay and improve the quality of power quality data while achieving efficient storage and traceability of power quality data.【Innovation/limitation】However,with the accumulation of information base,the processing efficiency of each link will be limited when the alliance chain technology is used to process the power quality data of the distribution network,and it needs to be continuously improved in the future.
作者
崔金栋
包晨瑞
周念成
CUI Jin-dong;BAO Chen-rui;ZHOU Nian-cheng(Northeast Electric Power University,Jilin 132012,China;Chongqing University,Chongqing 400044,China)
出处
《情报科学》
CSSCI
北大核心
2022年第11期110-117,132,共9页
Information Science
基金
国家自然科学基金项目“直流配电网电能质量扰动及污染源定位研究”(51877017)。
关键词
联盟链
配电网
电能质量
数据存储
信息溯源
alliance chain
distribution network
power quality
data storage
information traceability
作者简介
崔金栋(1980-),男,山东德州人,博士,教授,主要从事区块链技术、电力数据资产管理、信息系统建模等研究工作;通讯作者:包晨瑞(1998-),男,浙江嘉兴人,硕士研究生,主要从事区块链技术、电网数据安全管理等研究,1076118732@qq.com;周念成(1969-),男,四川重庆人,博士,教授,主要从事电力系统自动化及电能质量等研究。
