智能电表在配网负荷预测中的应用研究

摘要

Smart meters are densely distributed in the power distribution network, which can reflect the real-time status of the distribution network operation. It is the necessary link to realize intelligent Smart Grid management. This article is based on the load data collected by the Smart Meters, as the learning samples after performing pretreatment, using a support vector machine method of load forecasting to analyze and predict the daily load. The comparisons between the actual load forecasting and the actual load data indicates that the method is feasible.%智能电表密集分布于配电网络中，能够实时反映配电网运行状况，是实现电网智能化管理的重要环节。基于智能电表采集负荷数据，并进行预处理获得学习样本，采用支持向量机的负荷预测方法对日负荷进行分析和预测。通过应用于实际负荷预测与负荷实际值进行比较，证明该方法的可行性。