KEYWORDS: Signal processing, Circuit switching, Switches, Statistical analysis, Nuclear power plants, Instrument modeling, Error analysis, Data modeling, Power grids, Transformers
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.
In recent years, with the significant increase in the proportion of new energy in the power grid, the uncertainty of the grid has increased significantly. Quantifying the impact of uncertainty on the power grid is of great significance for maintaining the safety and stability of the power system. As an uncertainty quantification method used to evaluate the influence of uncertainty factors on system output, global sensitivity analysis has been extensively studied by domestic and foreign scholars for its application in power systems. The concept of sensitivity analysis is elaborated and the analysis method of global sensitivity is introduced firstly. Secondly the paper describes the application scenarios of global sensitivity in power systems, and finally summarizes and outlooks on the analysis method and application of global sensitivity.
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