A method for power system regional division considering the temporal and spatial distribution characteristics of frequency

Through modal decomposition and DBSCAN clustering algorithm, the partitioning problem in the analysis of the spatiotemporal distribution characteristics of the power system frequency response after the access of new energy is solved, the system is partitioned quickly and accurately, and the consistency of regional frequency response is ensured.

CN120372335BActive Publication Date: 2025-09-26NANJING UNIV OF SCI & TECH
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Patent Information

Application Number
CN202510861794.9
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-06-25
Publication Date
2025-09-26
Estimated Expiration
2045-06-25

AI Technical Summary

Technical Problem

The existing analysis method of the spatiotemporal distribution characteristics of power system frequency response fails to effectively consider the system partitioning after the integration of new energy, resulting in uneven inertia distribution and affecting the consistency of regional frequency response.

Method used

By modally decomposing the frequency response of the new energy power system, constructing the similarity matrix and Laplace matrix, and using the DBSCAN clustering algorithm to cluster and partition the system, the similarity clustering of frequency curves is achieved and real-time partitioning is performed.

Benefits of technology

It provides a fast and accurate method for power system regional division, ensuring the consistency of regional frequency response under various disturbances, and is suitable for system partitioning after the integration of new energy.

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Abstract

The present invention discloses a method for power system regional division that takes into account the frequency and time-space distribution characteristics. The method models the equipment side and the network side of the new energy power system respectively to obtain a closed-loop frequency response model of the system, decomposes the frequency response into multiple components based on the spectral decomposition of the system hysteresis matrix; analyzes the response characteristics such as the lowest frequency point and the average change rate of each frequency component to quantify the frequency and time-space distribution characteristics; measures the frequency of the PMU configuration node when disturbances occur at different locations of the system through simulation, and uses the measured frequency response curve after modal decomposition and an improved spectral clustering algorithm to construct a similarity matrix and a Laplace matrix to extract the eigenvector of the modal frequency; finally, uses the DBSCAN clustering algorithm to cluster frequency curves with high similarity to achieve system partitioning; the present invention can quickly and accurately provide real-time system partitioning results, ensuring the consistency of regional frequency responses under various disturbances.
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