Power system dynamic safety assessment method based on relation exploration and regression tree

Abstract

A power system dynamic safety assessment method based on relation exploration and a regression tree comprises the following steps: 1) obtaining a power system operation data sample, constructing a corresponding dynamic safety index, and forming an original sample matrix; 2) performing feature selection on the original sample set to form a processed high-efficiency sample set; 3), proposing an online dynamic security integration assessment model, and performing offline training and updating on the model by utilizing the high-efficiency sample set; and 4) based on the real-time operation data of the power system and the continuously updated integrated evaluation model, completing evaluation of the real-time dynamic safety state of the power system, and evaluating an evaluation result by using a confidence detection method to obtain a final evaluation result. The invention aims to provide a dynamic safety assessment method for an electric power system, which is beneficial to improving the applicability of a data driving method in the field of dynamic safety assessment of the electric power system, is beneficial to system operation personnel to timely take preventive control measures and improves the safety operation level of a power grid.

Description

technical field [0001] The invention relates to the field of dynamic security assessment of power systems, in particular to a method for dynamic security assessment of power systems based on relationship exploration and regression trees. Background technique [0002] On the one hand, with the rapid increase of the penetration rate of distributed energy in the power system and the development of large-scale cross-regional interconnected power grids, the problem of safe and stable operation of the power system has become more and more prominent. While the power system is forming a wide-area interconnection, the scope affected by major disturbance accidents will become wider and wider, and the risk of major blackouts will also increase; on the other hand, with the gradual implementation of my country's power grid development strategy towards smart grid Synchronous vector measurement devices and wide-area measurement systems are gradually expanding in the power grid. How to make ...

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Problems solved by technology

[0004] (1) The traditional mechanism analysis method mainly relies on offline calculation, which is difficult to apply to real-time online evaluation. The time domain simulation method is closely related to the accuracy of modeling. If the modeling cannot be done accurately, the analysis results are often unsatisfactory, and there is a huge amount of calculation. , long calculation time and other issues; and the direct method analysis results are often too conservative

[0005] (2) When traditional data-driven methods are applied to power system dynamic security assessment, there are many limitations, such as too long learning and training time, easy overfitting, difficult to apply to large-scale data, etc., and often do not consider the actual power grid operation There may be many influencing factors, and no evaluation was made on the evaluation results

[0006] To sum up, the traditional method has been difficult to meet the practical needs of real-time dynamic security assessment in the fast-growing modern power grid, and there is an urgent need for a real-time assessment method that can meet high adaptability and high precision.

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