A low-frequency power line carrier topology identification method

Abstract

The invention discloses a low-frequency power line carrier topology identification method, which includes the following steps: Step 1: Continuously perform continuous voltage sampling, and simultaneously process the sampled data at the previous moment in parallel in a pipeline; Step 2: Use FFT-based convolution The neural network method performs high-density data analysis on the sampling data; step 3: average the analysis results of multiple sliding window data, and use the averaged spectrum modulus as the basis for judging the carrier signal; Stepwise classification of value and amplitude, and output 16-bit modulation signal code; the signal detection method based on FFT convolutional neural network in the present invention can maximize the effective duration of modulation signal, and use digital filter and multi-sliding window FFT average phase The combined method improves the accuracy of topology identification and monitoring while reducing the interference of power line noise on the modulation signal.

Description

technical field [0001] The invention belongs to the technical field of power line carrier communication, and in particular relates to a method for identifying a topology of a low frequency power line carrier. Background technique [0002] Power line carrier communication is a way of using power lines as high-frequency signals to communicate in the transmission channel. Because it transmits high-frequency weak current signals and low-frequency large currents together, there is no need to lay a power supply circuit. It is used in smart homes, smart buildings, automatic copying Tables and many other fields have been widely used. In the field of power line carrier communication, network topology analysis is to divide the busbar and electrical island according to the switch state of the power grid. This technology is the basic module of power grid dispatch automation, energy management system, and distribution management system. The traditional topology identification technology...

AI Technical Summary

Problems solved by technology

The traditional topology identification technology generally uses a switch network to cooperate with a specific voltage and current detection module to identify, and the information transmitted is limited, which is not conducive to the rapid update of topology information.

The use of carrier communication can achieve richer information transmission, but the detection of carrier signals is relatively complicated, because the noise on the power line is strong, which constitutes a strong interference to the modulated carrier signal

[0003] At present, the analysis of the carrier signal mainly adopts the FFT method. The traditional FFT carrier parameter measurement method has the disadvantage of sacrificing the frequency resolution and has strict restrictions on the number of points and cycles of data sampling.

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