Data-driven high-proportion renewable energy power system operation scene identification method

Abstract

The invention provides a data-driven high-proportion renewable energy power system operation scene identification method, and belongs to the technical field of power system operation. The method comprises the following steps: firstly, carrying out refined operation simulation on a to-be-identified power system to obtain a daily operation mode vector corresponding to the system; preprocessing all daily operation mode vectors by using a principal component analysis method to obtain a preprocessed power system operation mode matrix; determining a typical operation scene of the power system through a Kmeans + + algorithm and the compactness index of the operation mode of the power system; and realizing visualization of the operation characteristics by utilizing a t-SNE algorithm to obtain an extreme operation scene. According to the method, a typical scene in planning and operation can be effectively determined by using a data driving method, an extreme operation mode in protection and stability analysis can be rapidly identified, important reference can be provided for planning and operation personnel of a power system, and the analysis capability of the high-proportion renewable energy power system is improved.

Description

technical field [0001] The invention belongs to the technical field of power system operation, and in particular relates to a data-driven high-proportion renewable energy power system operation scene identification method. Background technique [0002] Grid-connected power generation with a high proportion of renewable energy (in the present invention refers to the proportion of renewable energy exceeding 30%) has become an important technical means for the power system to achieve low-carbon and clean transformation. As of the end of 2019, China's grid-connected wind power and grid-connected photovoltaic installed capacity reached 209GW and 204GW respectively, ranking first in the world. The strong uncertainty of the high proportion of renewable energy and the complex dynamics of the high proportion of power electronics have brought multiple challenges to the power system, such as diversified operation modes, bidirectional power grid flow, and complex stability mechanisms. ...

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Problems solved by technology

[0006] However, there are no reports on the use of data-driven methods to identify high-proportion renewable energy power system operating scenarios and their changing laws.

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