| 引用本文: | 张子仪,蔡泽祥,郭采珊,孙宇嫣,曾兴.面向泛在电力物联网的分布式云数据中心优化选址[J].电力系统保护与控制,2020,48(3):36-42.[点击复制] |
| ZHANG Ziyi,CAI Zexiang,GUO Caishan,SUN Yuyan,ZENG Xing.Optimization of distributed cloud computing data center layout for ubiquitous power internet of things[J].Power System Protection and Control,2020,48(3):36-42[点击复制] |
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| 摘要: |
| 泛在电力物联网是应对海量综合能源设备、数据和业务计算负荷的关键，云计算是泛在电力物联网的关键技术。云数据中心是云计算架构核心，云数据中心选址对云计算性能意义重大。变电站是能量流、业务流和信息流的核心节点，且有建设数据中心的有利资源，分布式架构可以高效利用变电站资源。因此，基于变电站建设多站融合的分布式云数据中心是支持泛在电力物联网的有效方式。首先考虑能量流、业务流和信息流的关系，分析变电站特性，提出基于变电站的分布式云计算架构。然后针对该架构提出云数据中心优化选址策略。最后基于案例对优化选址策略进行仿真，证明了优化策略的有效性。 |
| 关键词: 泛在电力物联网 云数据中心 变电站 分布式架构 优化选址 |
| DOI：10.19783/j.cnki.pspc.191166 |
| 投稿时间：2019-09-24修订日期：2019-12-03 |
| 基金项目:国家自然科学基金项目资助(51577073);广东省自然科学基金项目资助(2016A030313476) |
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| Optimization of distributed cloud computing data center layout for ubiquitous power internet of things |
| ZHANG Ziyi,CAI Zexiang,GUO Caishan,SUN Yuyan,ZENG Xing |
| (South China University of Technology, Guangzhou 510641, China) |
| Abstract: |
| Ubiquitous Power Internet of Things (UPIoT) is the key to cope with the massive devices, data and application computing workloads of integration energy and cloud computing is key technique of UPIoT. Cloud data centers are the cores in cloud computing architecture, and cloud data center layout is crucial to cloud computing performance. Substations are core nodes of energy flow, application flow and information flow and have favorable resources for data center construction. The distributed architecture utilizes substation resources efficiently. Therefore, constructing multi-station integration distributed cloud data centers based on substations is an effective method to support UPIoT. Firstly, considering the relation of energy flow, application flow and information flow, substation characteristics are analyzed, and the distributed cloud computing architecture based on substations is proposed. Then, cloud data center layout optimization strategy for this architecture is presented. Finally, the strategy is analyzed by simulation based on case study and is proved effective. This work is supported by National Natural Science Foundation of China (No. 51577073) and Natural Science Foundation of Guangdong Province (No. 2016A030313476). |
| Key words: ubiquitous power internet of things cloud data center substation distributed architecture layout optimization |
