Digital Twin-Based Modeling Platform Development for Complex Regulation Rules of Large Power Grids

Abstract

With the rapid growth of new energy and cross-region interconnected power grids in China, the requirements for accuracy and real-time control of power grid operation are increasing, and the safety constraints are often associated with the data of multiple operation modes. Based on the demand for automatic matching, monitoring and decision making of complex regulation rules, this paper proposes a digital modeling platform for complex regulation rules of power grids, which can be used to transform various regulation rules into a common Decision Model and Notation (DMN) model for dispatch operation monitoring and safety checking modules. The logical description of rules is established using Friendly Enough Expression Language (FEEL) based definition of parameters and variables, simuModel object based common calculation formulas for values of parameters and variables, BOX expression based logical decision table, FEEL based description of operation modes, etc. The application shows that the platform is rich in modeling language, flexible tools, high degree of standardization, and the model comes with multi-level logical decision function, which is well adapted to the monitoring and calibration platform, and provides a solution for the digitization of complex regulation rules.