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A Global Data Model for Electric Power Data Centers

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Abstract

With the development of large-scale regional interconnected power grid, smart electronic devices and phasor measurement units have been widely used. How to realize high-speed processing of global data in power enterprise data center has become the key to real-time computing. This paper presents a data center global data model (DCGDM) for power enterprises. According to the computational coupling between tasks, the global data model of data center is established. With the constraints of CPU utilization and memory utilization of virtual machine and the goal of energy saving, the optimal configuration of the global data model of power enterprise data center is established. The results show that DCGDM is superior to traditional single-machine multi-threaded parallel computing in terms of time and system consumption. The calculation time of IEEE118 nodes is shortened by 42.32%, and the actual calculation time of 1133 nodes is shortened by 75.8% with the increase of system scale.

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Abbreviations

DCGDM:

Data center global data model

IEDs:

Intelligent electronic devices

PMU:

Phasor measurement unit

USP-UPA:

Undifferentiated sequential placement -- data processing algorithm

USP-DDPA:

Undifferentiated sequential placement -- descending data processing algorithm

PBP-DDPA:

Preference binding placement - descending data processing algorithm

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Acknowledgements

This work was supported by the Science and Technology Project of State Grid Corporation of China (5211XT17001N).

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Authors and Affiliations

  1. State Grid Zhejiang Electric Power Co., Ltd., Hangzhou, 310000, China

    ZhiQiang Wang

  2. State Grid Shandong Province Electric Power Co., Ltd., Jinan, 250000, China

    WanJian Bai

  3. State Grid Information & Telecommunication Group Co., Ltd., Beijing, 100000, China

    AiQiang Dong

  4. Xi’an Jiaotong University, Xi’an, 710000, China

    FuHua Zhang

  5. Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, 100191, China

    Bo Li

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  1. ZhiQiang Wang
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  2. WanJian Bai
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  3. AiQiang Dong
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Correspondence to Bo Li.

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Wang, Z., Bai, W., Dong, A. et al. A Global Data Model for Electric Power Data Centers. J Sign Process Syst 93, 201–208 (2021). https://doi.org/10.1007/s11265-019-01474-5

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  • DOI: https://doi.org/10.1007/s11265-019-01474-5

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