面向智能电网的变压器经济运行与负荷预测自动化算法研究  

Research on Automated Algorithm for Economic Operation and Load Forecasting of Transformers for Smart Grid

作　　者：杜鹃 侯洁 董国梁 闫明蔚 DU Juan;HOU Jie;DONG Guoliang;YAN Mingwei

机构地区：[1]济南鲁源电气集团有限公司,山东济南250000 [2]国网济南供电公司,山东济南250000

出　　处：《今日自动化》2024年第11期145-147,共3页Automation Today

摘　　要：在当前用电负荷特性变化显著的背景下,为高效应对类似季节性峰谷差明显的电力负荷,有效提升配电变压器运行经济性,响应智能电网建设号召,文章以调容变压器为视角,提出一种基于encoder-decoder预测模型的电力负荷预测方法,并在此基础上开展调容变压器适用性分析与节能评估工作,可为智能电网节能降损及精准投资提供重要支持。In the context of significant changes in current electricity load characteristics,in order to achieve efficient response to power loads with obvious seasonal peak valley differences,effectively improve the operational economy of distribution transformers,and respond to the call for smart grid construction,this paper proposes a power load forecasting method based on encoder decoder prediction model from the perspective of regulating transformers.Based on this,the applicability analysis and energy-saving evaluation of regulating transformers can be carried out,which can provide important support for energy conservation,loss reduction,and precise investment in smart grids.

关 键 词：智能电网 变压器 电力负荷预测 经济运行 

分 类 号：TM421[电气工程—电器]