A Prediction Method Based on the Influence of Electricity Consumption Habits on Distribution Network Losses

Firstly, the influence of user behavior on the distribution network at different time scales is analyzed, and the multi-temporal and spatial variation law and probability estimation method of user habit volatility are used to establish a distribution network loss model based on seasonal changes. Then, according to the influence of power quality problem on distribution network loss, the calculation methods of three-phase unbalance, voltage deviation and harmonic parameters of distribution network are studied, and a distribution network loss model considering power quality is established. Finally, according to the time series and nonlinear characteristics of power quality data in a long time span, a power quality prediction method for distribution network based on clustering and long short-term memory network is proposed. Algorithms are used to predict distribution network losses and quantify the impact of electricity consumption habits on distribution network losses.