Harmonic traceability method and device based on electrified railway and new energy inverter

By employing the Newton-Raphson method, harmonic power flow calculation method, Latin hypercube sampling, and deep belief network model, the dominant equipment type of harmonic sources in electrified railway and new energy inverters can be quickly identified, solving the problem of cumbersome acquisition process in existing technologies and improving efficiency and accuracy.

CN121350846APending Publication Date: 2026-01-16LANZHOU JIAOTONG UNIV
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Patent Information

Application Number
CN202511704293.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-11-19
Publication Date
2026-01-16

AI Technical Summary

Technical Problem

The existing technology for obtaining the dominant equipment types for harmonic sources of electrified railways and new energy inverters is cumbersome, consumes a lot of human resources and time, and results in low efficiency.

Method used

The fundamental and harmonic admittance matrices of the power system are processed using the Newton-Raphson method and harmonic power flow calculation method. Combined with the Latin hypercube sampling strategy and deep belief network model, the harmonic distortion rate and voltage spectrum of each node are generated through the harmonic emission model of electrified railway and new energy inverter. The dominant equipment type of harmonic source is identified by the trained deep belief network model.

Benefits of technology

It can quickly identify the dominant device type of harmonic sources without human intervention, improving acquisition efficiency and accuracy of harmonic responsibility allocation.

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Abstract

The invention relates to the technical field of electric energy quality analysis and the technical field of artificial intelligence, and discloses a harmonic traceability method and device based on an electrified railway and a new energy inverter, and the method comprises the steps: obtaining the voltage spectrum amplitude of each harmonic of the new energy inverter through a trained deep belief network model, according to the voltage frequency spectrum amplitude of each harmonic wave of the electrified railway and the voltage frequency spectrum amplitude of each harmonic wave of the new energy inverter, generating a root-mean-square value of a harmonic voltage frequency spectrum of the electrified railway and a root-mean-square value of a harmonic voltage frequency spectrum of the new energy inverter; when the root-mean-square value of the harmonic voltage frequency spectrum of the electrified railway is greater than the harmonic threshold value of the electrified railway, marking the dominant equipment type of the harmonic source as the electrified railway, and when the root-mean-square value of the harmonic voltage frequency spectrum of the new energy inverter is greater than the harmonic threshold value of the new energy inverter, marking the dominant equipment type of the harmonic source as the electrified railway; and marking the dominant equipment type of the harmonic source as a new energy inverter. According to the invention, the acquisition efficiency of the dominant equipment type of the harmonic source can be improved.
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