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智能园区管控平台集成架构设计及关键技术

Design and Key Technologies of Integrated Architecture in Intelligent Park Management and Control Platform
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摘要 随着智能配用电园区规模的扩大,配电自动化、用电信息采集等应用系统的推广应用,配电网中会产生指数级增长的海量异构、多态的数据,配用电环节的管理需求也逐渐复杂起来,因此需要建立高效的管控平台。基于海量数据的运行监控、用电管理等基本功能高度融合,智能运维、能源服务、售电管理等多种智慧功能按需集成的智能园区管控平台是未来智能园区管控系统的发展方向。针对智能园区海量数据的高速采集、高效处理、高速存储与计算,以及统一服务等需求,提出了管控平台的集成架构设计方案。通过关键技术性能验证了智能园区管控平台集成架构的优势和可行性。 In recent years,with the expansion of the scale of the intelligent power distribution parks,and the popularization and application of distribution automation system,electricity information collection system and other application systems,exponentially growing,massive heterogeneous and polymorphic data are produced in the distribution network.And the management needs of the distribution link are gradually becoming more complicated.Therefore,an efficient management and control platform is necessary.The development direction of the management and control system of the future intelligent park should be based on massive data,highly integrated with basic functions such as operation monitoring and power management,on-demand integrated with intelligent functions such as intelligent operation and maintenance,energy service,and power selling management.For the actual demands of the intelligent park such as the high-speed acquisition,efficient processing,high-speed storage and calculation of massive data and unified service in intelligent park,this paper proposes an integrated architecture design scheme for the management platform.Through the performance verification of key technologies,the advantages and feasibility of the integrated architecture in intelligent park management and control platform which is proposed in this paper are verified.
作者 万静 罗开明 徐大青 黄浩然 WAN Jing;LUO Kaiming;XU Daqing;HUANG Haoran(XJ Group Co.,Ltd.,Xuchang 461000,China)
出处 《供用电》 2018年第12期21-28,共8页 Distribution & Utilization
基金 国家电网公司科技项目"基于大数据与云架构的配电主站关键技术研究与应用"(5292C0170023)~~
关键词 智能园区 集成架构 海量数据 实时并行处理 分布式存储与计算 intelligent park integrated architecture massive data real-time parallel processing distributed storage and calculation
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