摘要
智能电网逐渐成为主体电力系统模式,变电站是电力系统关键组成,负荷预测和能效管理在电网运行中非常重要。通过大数据技术的变电站负荷预测模型构建方式对管理策略进行优化。深入分析负荷预测关键影响因素,结合大数据处理方式提出新的负荷预测方法,并通过负荷预测模型完成数学描述。根据预测结果涉及变电站能效评估指标,提出有针对性的负荷调动和大数据智能化策略,以扩大变电站能效。通过实际案例实际数据分析方式验证模型和策略有效性和可行性。为变电站负荷预测和能效管理提出新的思路和方向,有助于智能电网建设和发展。
Smart grid has gradually become the main mode of power system,and substations are a key component of the power system.Load forecasting and energy efficiency management are very important in the operation of the power grid.This article optimizes management strategies through the construction of a substation load forecasting model using big data technology.Deeply analyze the key influencing factors of load forecasting,propose a new load forecasting method combined with big data processing methods,and complete mathematical description through load forecasting models.Based on the predicted results involving energy efficiency evaluation indicators for substations,targeted load mobilization and big data intelligence strategies are proposed to expand substation energy efficiency.Validate the effectiveness and feasibility of the model and strategy through actual case studies and data analysis.This article proposes new ideas and directions for load forecasting and energy efficiency management in substations,which is beneficial for the construction and development of smart grids.
作者
张强
ZHANG Qiang(Guodian Nanrui Nanjing Control System Co.,Ltd.,Nanjing 211100,China)
出处
《电工技术》
2025年第S1期146-148,共3页
Electric Engineering
关键词
变电站负荷预测
能效优化
大数据技术
substation load forecasting
energy efficiency optimization
big data technology
