In this paper, a data-driven analysis method is proposed, which integrates the techniques of preprocessing, dimensionality reduction, clustering, and data visualization of high-dimensional data sets of power system operation. . Power system operation mode calculation (OMC) is the basis for unit commitment, scheduling arrangement, and stability analyses. At present, the selection of PSOM mainly depends on the experience of relevant staff.
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Traditionally, the annual operation of a power system can be represented by some typical operation modes and acts as the basis for the power-system-related analysis. The introduction of highly penetrated renewable energy will make the power system operation mode highly diversified and variable.
The real operation data of the power system has strong periodicity and strong correlation. In the corresponding comparative analysis of the data, the power system operation data set is preprocessed by the combination of normalization, time-series singular spectrum analysis, and principal component analysis (PCA) technique.
What is power system operation mode calculation (OMC)?
Multiple requests from the same IP address are counted as one view. Power system operation mode calculation (OMC) is the basis for unit commitment, scheduling arrangement, and stability analyses. In dispatch centers at all levels, OMC is usually realized by manually adjusting the parameters of power system components.
After the system operation is preprocessed, the typical operation modes analysis is conducted with the following three stages: Firstly, the k-means + + clustering algorithm is used to classify the system operation data into different groups, which represent the typical operation modes.
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