KEYWORDS: Transformers, Power grids, Data modeling, Error analysis, Instrument modeling, Nuclear power plants, Statistical analysis, Switches, Circuit switching, Signal processing
The large-scale real-time data of the entire network provides complete and reliable basic data for global analysis and decision-making business scenarios, improves the accuracy of online analysis and calculation, and supports the integrated online analysis and decision-making of the large power grid. In the actual operation process, due to various reasons such as model parameter maintenance errors, abnormal equipment operation, and delayed startup of new equipment, data quality levels fluctuate, affecting the accuracy and real-time performance of calculation results. To further improve the quality of real-time data, balance analysis and calculation tools are used to accurately evaluate the quality of basic data in various power grids through real-time balance calculations and statistical analysis of calculation results for equipment such as power plants, topology buses, lines, and main transformers. This provides technical support for operation and maintenance personnel to promptly identify data quality issues and make targeted corrections.
KEYWORDS: Power grids, Data modeling, Logic, Design and modelling, Modeling, Instrument modeling, Automation, Computing systems, Statistical modeling, Data storage
Smart grid scheduling automation system has a high demand for system computation capability, the existing system has no automatic computation and storage means for grid-level real-time monitoring objects, and the model construction and automatic computation of grid monitoring object computation and analysis results need to rely on a large number of heavy manual maintenance, which cannot satisfy the demand of the gradual expansion of the grid scale. In this paper, an automatic calculation method based on abstract rule syntax for grid objects is proposed. Firstly, the calculation logic and the calculation result storage model are designed according to the principle of object-oriented modeling, so that the calculation data have the basis for modeling; secondly, an abstract rule syntax is designed to support the electronic description of the calculation logic; next, a resolution algorithm for the abstract description of the object calculation rules is discussed and the common statistical algorithms for grid objects are cited to verify the calculation results of the grid objects; finally, the parsing algorithm for the abstract description of object computation rules is discussed, and the common statistical algorithms of power grid to verify the completeness and feasibility of the abstract rule grammar are cited.
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