Blind signal separation-based electric vehicle load identification method in power distribution area
A technology of blind signal separation and electric vehicles, which is applied in pattern recognition in signals, electric vehicle charging technology, character and pattern recognition, etc., and can solve problems such as unknown topology, missing information, and unrecognizable charging equipment access in distribution stations. problem, to achieve the effect of clear and intuitive results, high precision of separation results, and fast speed
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[0059] see Figure 1 to Figure 8 , in the embodiment of the present invention, with Figure 5 The topology shown is an example. Multiple LTUs are connected to the TTU. Each LTU is connected to various loads. The LTU will obtain the electrical value of the branch node. After the electric vehicle is connected to the grid, the charging start time, charging power and other information will be uploaded to the LTU in time. , LTU will package the information of each load and upload it to TTU, based on these big data, develop edge computing APP in TTU and realize corresponding functions.
[0060] The present embodiment is a method for identifying electric vehicle loads in the distribution station area based on blind signal separation, using MATLAB as the simulation platform to conduct simulation experiments, and the specific steps are:
[0061] Step 1. Considering the different characteristics of power and waveform of different power equipment, the sine wave, square wave and triangul...
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