云计算在智能电网调度中的应用
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摘要
为解决传统电力系统中集中式计算平台海量数据流的存储和分析功能不足的问题,针对云计算在智能电网调度技术中的应用进行了研究。首先,对云计算技术在IT行业的发展进行阐述,对云计算的关键技术从虚拟化与快速部署技术、大规模分布式存储技术、资源调度技术、大规模多租户技术、海量数据处理技术以及大规模信息通信技术等方面出发进行介绍。其次,借鉴IT行业云计算技术,设计了基于云计算的智能电网计算平台以及基于云计算的智能电网互动式节能优化调度架构,以期推动云计算在电力系统中的发展,解决智能电网互动式节能优化调度算法方面的问题。
In order to solve the problem of insufficient storage and analysis functions of massive data flow in centralized computing platform in traditional power system,the application of cloud computing in smart grid scheduling technology is studied. First of all,the development of cloud computing technology in the IT industry,the key technologies of cloud computing from virtualization and rapid deployment technology,large-scale distributed storage technology,resource scheduling technology,large-scale multi-tenant technology,massive data processing technology and Introduction to large-scale information and communication technologies. Secondly,based on the IT industry cloud computing technology,the cloud computing-based smart grid computing platform and the cloud-based smart grid interactive energy-saving optimization scheduling architecture are designed to promote the development of cloud computing in the power system and solve the smart grid interactive energy-saving,optimize problems with scheduling algorithms.
In order to solve the problem of insufficient storage and analysis functions of massive data flow in centralized computing platform in traditional power system,the application of cloud computing in smart grid scheduling technology is studied. First of all,the development of cloud computing technology in the IT industry,the key technologies of cloud computing from virtualization and rapid deployment technology,large-scale distributed storage technology,resource scheduling technology,large-scale multi-tenant technology,massive data processing technology and Introduction to large-scale information and communication technologies. Secondly,based on the IT industry cloud computing technology,the cloud computing-based smart grid computing platform and the cloud-based smart grid interactive energy-saving optimization scheduling architecture are designed to promote the development of cloud computing in the power system and solve the smart grid interactive energy-saving,optimize problems with scheduling algorithms.
引文
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[2] JAN BEYEA. The smart electricity grid and scientific research[J]. Science,2016,328(5981):979-980.
[3] KIUHUA HUANG,MIKE ZHOU,YAO ZHANG,et al. Exploiting cloud computing for power system analysis[C]//International Conference on Power System Technology. Guangzhou:2016:1-6.
[4] ARMANDO FOX. Cloud computing——What’s in it for me as a scientist[J]. Science,2016,331(6016):406-407.
[5] JAYANT BALIGA,ROBERT W. A. AYRE,RODNEY S. TUCKER,et al. Green cloud computing:Balancing energy in processing,storage,and transport[J]. Proceeding of the IEEE,2016,99(1):149-167.
[6]沐连顺,崔立忠,安宁.电力系统云计算中心的研究与实践[J].电网技术,2016,35(06):171-175.MU Lianshun,CUI Lizhong,AN Ning. Research and practice of power system cloud computing center[J]. Power System Technology,2016,35(06):171-175.
[7]丁杰,奚后玮,韩海韵,等.面向智能电网的数据密集型云存储策略[J].电力系统自动化,2012,36(12):66-70.DING Jie,XI Houwei,HAN Haiyun,et al. Data-intensive cloud storage strategy for smart grid[J]. Automation of Electric Power Systems,2012,36(12):66-70.
[8]罗军舟,金嘉晖,宋爱波,等.云计算:体系架构与关键技术[J].通信学报,2016,32(07):3-21.LUO Junzhou,JIN Jiahui,SONG Aibo,et al. Cloud computing:architecture and key technologies[J]. Journal of Communications,2016,32(07):3-21.
[9] MING LI,QIN ZHOU. Distribution transformer midterm heavy and over load pre-warning based on logistic regression[C]//2015IEEE Eindhoven Powertech,June29 to July 2,Eindhoven,Netherlands.
[10] PERI V S,VANFRETTI L. Optimal PMU placement for power system ambient data-based mode estimation applications[C]//Proceedings of 2016 IEEE PES Innovative Smart Grid Technologies Conference Europe(ISGT-Europe). Ljubljana:IEEE,2016:1-6.
[11] OPREA G,ANDREI H. Power quality analysis of industrial company based on data acquisition system,numerical algorithms and compensation results[C]//Proceedings of 2016 International Symposium on Fundamentals of Electrical Engineering(ISFEE).Bucharest:IEEE,2016:1-6.
[12]张恒,王建学,曹晓宇.采用全寿命周期成本与风险分析的农村配电变压器更换投资策略[J].西安交通大学学报,2015,49(08):133-140.ZHANG Heng,WANG Jianxue,CAO Xiaoyu. Replacement and investment strategy for distribution transformers in rural area based on Life cycle cost theory and risk assessment[J]. Journal of Xi'an Jiaotong University,2015,49(08):133-140.
[13]杨楠,李宏圣,袁景颜,等.计及不确定性和全寿命周期成本的配电变压器规划方法[J].电力系统自动化,2017,41(21):94-104.YANG Nan,LI Hongsheng,YUAN Jingyan,et al. Planning method of distribution transformer considering uncertainty and life cycle cost[J]. Automation of Electric Power Systems,2017,41(21):94-104.
[14]苏韵掣,刘俊勇,刘友波,等.大规模中压配电网可靠性建设改造措施优选模型及求解方法[J].电网技术,2017,41(01):201-209.SU Yunche,LIU Junyong,LIU Youbo,et al. Optimization model of selecting power supply reliability reconstruction measures in large-scale MV distribution network and its solution method[J].Power System Technology,2017,41(01):201-209.
[15]杨凤生,熊波,蔡广林,等.基于数据分析的配电网故障数据特征变量提取[J].电力大数据,2017,21(03):22-27.YANG Fengsheng,XIONG Bo,CAI Guanglin,et al. Characteristic extracting of the fault information in distribution feeder based on data analysis[J]. Power system and big data,2017,21(03):22-27.