A Supply Guarantee Method for Urban Power Grid Based on Time Series Sensitivity Matrix
As the global climate gradually warms up,the load under extreme weather is on the rise,making it difficult for urban power grids to maintain supply.To address the issues of poor relief of local blockages and voltage exceeding limits in extreme weather conditions,a time series sensitivity matrix-based urban power grid supply guarantee method is proposed.Firstly,local outlier factors are employed to detect abnormal data in urban power grids and the linear interpolation method is utilized for repair.Secondly,a temporal sensitivity matrix is established among the load rate of urban power grid lines,node load shedding rate,line loss,and voltage impact.The impact of node access power on the urban power grid is comprehensively evaluated.Based on this,the optimal configuration of the urban power grid is solved through greedy algorithm iteration,and power protection control is implemented.Finally,verification is conducted in a demonstration area of a certain city.The accuracy rate of the urban power grid supply guarantee configuration is 98.7%.The proposed method can effectively improve the accuracy of urban distribution network configuration and alleviate the problems of local blocking and voltage exceeding limits in urban supply guarantee.
time series sensitivity matrixurban power gridguaranteed supplygreedy algorithmlinear interpolation methodgenerator train
万方数据
维普
