A Web Service Software Design Pattern Targeting  Power System Data Analytics and its Application on State Estimation Data

Zhantao Fan; Yuan Xu; Yiping Chen; Ligang Zhao; Yan Guo; Hongyue Zhen; Wenjun Mao; Tinghui Zhou; Xiaoshan Wu; Guanbiao Huang; Yingqi Tang; Changxiang Wang

Proceedings of the 3rd International Conference on Innovation Design and Digital Technology, ICIDDT 2023, November 3–5, 2023, Zhenjiang, China

Research Article

A Web Service Software Design Pattern Targeting Power System Data Analytics and its Application on State Estimation Data

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Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/eai.3-11-2023.2342227,
    author={Zhantao  Fan and Yuan  Xu and Yiping  Chen and Ligang  Zhao and Yan  Guo and Hongyue  Zhen and Wenjun  Mao and Tinghui  Zhou and Xiaoshan  Wu and Guanbiao  Huang and Yingqi  Tang and Changxiang  Wang},
    title={A Web Service Software Design Pattern Targeting  Power System Data Analytics and its Application on State Estimation Data},
    proceedings={Proceedings of the 3rd International Conference on Innovation Design and Digital Technology, ICIDDT 2023, November 3--5, 2023, Zhenjiang, China},
    publisher={EAI},
    proceedings_a={ICIDDT},
    year={2024},
    month={1},
    keywords={software design pattern power system data analytics state estimation},
    doi={10.4108/eai.3-11-2023.2342227}
}

Zhantao Fan
Yuan Xu
Yiping Chen
Ligang Zhao
Yan Guo
Hongyue Zhen
Wenjun Mao
Tinghui Zhou
Xiaoshan Wu
Guanbiao Huang
Yingqi Tang
Changxiang Wang
Year: 2024
A Web Service Software Design Pattern Targeting Power System Data Analytics and its Application on State Estimation Data
ICIDDT
EAI
DOI: 10.4108/eai.3-11-2023.2342227

Zhantao Fan¹, Yuan Xu²^,*, Yiping Chen¹, Ligang Zhao², Yan Guo¹, Hongyue Zhen², Wenjun Mao¹, Tinghui Zhou², Xiaoshan Wu², Guanbiao Huang², Yingqi Tang², Changxiang Wang²

1: China Southern Power Grid
2: Electric Power Research Institute, CSG

*Contact email: xuyuan@csg.cn

Abstract

More and more data-driven analyzing methods are proposed to thoroughly reveal risks of the high proportion new energy power system in academia. However, the development of digital infrastructure of power grid enterprises can’t keep pace, due to the security requirements, and, more directly, the data silos between different data services. A web service software design pattern targeting power system data analytics is introduced in this paper to improve data interaction efficiency, and the pattern is validated by an actual application on state estimation data.

Keywords: software design pattern power system data analytics state estimation

Published: 2024-01-15
Publisher: EAI

: http://dx.doi.org/10.4108/eai.3-11-2023.2342227