Dynamic Reconstruction of Distribution Network in Different Time Periods Based on Dynamic Time Regulation
Distribution network reconstruction refers to adjusting the topology of the network and optimizing power transmission by changing the switch state,which is an important method for maintaining stability in the distribution system.The traditional fixed time cross-sectional static reconstruction method cannot adapt to the rapidly changing topology requirements after new energy is connected to the distribution network,and the high time-varying power of distribution network nodes also brings difficulties to the traditional static reconstruction method.A distribution network dynamic reconstruction method based on dynamic time warping is proposed for this purpose.By measuring the local distance of the regular time series of nodes in the topology structure of the power grid during dynamic time using Markov distance,the range of load fluctuations is divided,and the optimal number of dynamic segments and segmentation points in the power grid topology are obtained.By using the linear weighting method,the single objective of power grid reconstruction is transformed into multi-objective optimization,and the multi-objective optimization equation for dynamic reconstruction of distribution networks in different time periods is calculated.Use this method to control the switch state and achieve power grid reconstruction.Experimental results show that after the reconstruction of the distribution network,the network loss value of this method is 539.2 kW,and the lowest point voltage is 0.994.The reconstructed node voltage has a good fit with the actual value,and the frequency deviation and harmonic content of the distribution network have significantly decreased.This indicates that the reliability of the proposed method for distribution network reconstruction is good.
dynamic time warping algorithmdistribution networkdynamic reconstruction in different time periodsreliability analysisload curve
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