Minqi Yu
ABSTRACT
Aiming at the current electric power industry's problems related to the unreasonable configuration of smart meter data collectors and the smart meter measurement technology, this paper proposes a comprehensive analysis method for the optimal configuration of smart meter data collectors based on the PSO-BP neural network prediction model. Through the analysis of historical data in the station area, PSO is used to optimize the index. The database is established to import the BP neural network algorithm and training, and then the prediction of the station area to be configured with the data collector is completed. The experimental case proves that the above steps can reasonably configure the collector in the station area and optimize the data collection of the smart meter. While realizing convenient and effective data transmission, it also guarantees a certain degree of economy.
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