Abstract
The quality of broadband power line carrier communication mainly depends on the carrier communication frequency. However, there is a lack of fast and effective optimal carrier frequency selection method. One frequency selection method based on frequency point optimization neural network is proposed by this paper. This method combines transmission line theory and voltage partial reflection theory to build a power line carrier channel mathematical model of the distribution network. The input frequency point sample set is used as the training set of the frequency point optimization neural network to obtain a neural network model that can predict the local optimal frequency point set. Then the actual distribution network is taken as an example for simulation analysis. When inputting any frequency range, the model outputs the corresponding optimal frequency point set. Simulation results show that the algorithm saves a lot of input impedance or channel strength testing time, while the error rate is limited to about 3%.
Highlights
Power line carrier communication is a unique communication method for power systems, which has natural network channel resources and application convenience [1]
Under the application background of broadband power line communication, the number of sub-carrier frequencies of Orthogonal Frequency Division Multiplexing (OFDM) technology has greatly increased, and traditional frequency selection methods based on empirical estimation or traversal methods have become difficult to implement
The frequency point optimization neural network algorithm reduces the workload of a large amount of testing signal strength or equivalent input impedance, and realizes the optimal selection of frequency points
Summary
Power line carrier communication is a unique communication method for power systems, which has natural network channel resources and application convenience [1]. Most of the optimization studies for OFDM sub-frequency points are based on the premise that the communication frequency points have been confirmed, and the power and modulation methods are adaptively selected, such as Hughes-Hartogs algorithm [8], Chow algorithm [9] and Fischer algorithm [10]. These three algorithms can allocate the bit and power of each sub-carrier channel under the premise of knowing the real-time status of the channel. A model that predicts the input frequency point corresponding to the local optimal frequency point in the wideband range of the application is obtained
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
