Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)

A Novel SCD Validation Scheme Based on Information Classified Extraction and Semantic Strength Grading

Authors
Xu Gao, Ke Wang, Zhihan Jiang, Yingxin Ma, Yan Hu, Peng Peng
Corresponding Author
Xu Gao
Available Online June 2016.
DOI
https://doi.org/10.2991/mecs-17.2017.123How to use a DOI?
Keywords
SCD, information, XML
Abstract
Substation Configuration Description (SCD), containing all the configuration information of a smart substation, is generally non-standard at present. SCD validation is essential to the normal operation of a smart substation. Typically, SCD is composed of some implicit information, secondary circuits for instance, which is hard to validate directly. In existing works, developing software is the most common method to validate implicit information, however, is quite complicated and inflexible. Against this, this paper proposes a novel scheme merely utilizes programs for information extraction and assigns validation to XML Schema due to its descriptive ability of rules. In addition, SCD correctness definitions are graded by their semantic strength in order to proceed the validation level by level. It is concluded that the novel scheme is not only good at describing validation rules, but also universal to all the application scenarios.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Xu Gao
AU  - Ke Wang
AU  - Zhihan Jiang
AU  - Yingxin Ma
AU  - Yan Hu
AU  - Peng Peng
PY  - 2016/06
DA  - 2016/06
TI  - A Novel SCD Validation Scheme Based on Information Classified Extraction and Semantic Strength Grading
BT  - Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)
PB  - Atlantis Press
SP  - 127
EP  - 134
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecs-17.2017.123
DO  - https://doi.org/10.2991/mecs-17.2017.123
ID  - Gao2016/06
ER  -