A knowledge modeling method for complex power grid regulation rules

Jilin Chen; Mike Zhou; Qianhong Wu

doi:10.1117/12.2627669

11 March 2022 A knowledge modeling method for complex power grid regulation rules

Jilin Chen, Mike Zhou, Qianhong Wu

Proceedings Volume 12160, International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021); 121600G (2022) https://doi.org/10.1117/12.2627669
Event: International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021), 2021, Sanya, China

Abstract

In order to solve the problems of large workload and relatively complex maintenance caused by the scripted input of power grid regulation documents, a knowledge modeling method of complex power grid regulation rules based on DMN is proposed. This method is based on the planning expression of power grid regulation and stability provisions based on DMN standard, so as to ensure the consistency and integrity of logic expression of power grid stability provisions. Practice has proved that, this method is applied to the provincial power grid regulation system and improves the intelligent level in the field of power grid regulation.

Citation Download Citation

Jilin Chen, Mike Zhou, and Qianhong Wu "A knowledge modeling method for complex power grid regulation rules", Proc. SPIE 12160, International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021), 121600G (11 March 2022); https://doi.org/10.1117/12.2627669

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