Method and device for optimizing the equipment utilization rate of power distribution network

• Main Authors: WEN BINGLIN, TAN JIAN, CHEN JINGYI, FAN MING, ZENG ZHIYONG, LI JINYAO, HUANG KAIHUAN, SHI LIANGYUAN, LIANG XIANGWEI
• Format: Patent
• Language: Chinese; English
• Published: 26.02.2021
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention discloses a method and device for optimizing the equipment utilization rate of a power distribution network, and the method comprises the steps: building an LSTM autoencoder through training, carrying out the feature extraction of a daily load curve set of the power distribution network, obtaining a deep feature load sequence of the power distribution network, and achieving the dimension reduction of a high-dimensional load curve; and then clustering the deep characteristic load sequences by using an improved fuzzy C-means clustering algorithm to achieve accurate classification of load characteristics of various power consumers, and establishing a power distribution network equipment utilization rate optimization model taking the maximum equipment utilization rate and the maximum user satisfaction as targets and considering the classification load time-sharing demand response based on a load sequence classification result. The method and device can accurately guide usersto use electricity in an