摘要
随着用电负荷持续增长,配电变压器及用户侧低电压问题日益突出,严重影响供电可靠性和用电设备正常运行。通过采集配电变压器运行数据和用户侧电压数据构建电力大数据分析模型,深入挖掘低电压成因,研究发现配电线路过长、负荷不均衡、设备老化等因素导致电压降过大。针对不同成因,提出优化配变容量配置、应用无功补偿装置、合理调整分接头等改进策略,并结合实际案例验证策略有效性。实践表明,基于大数据分析的低电压治理方案可有效提升供电质量,为配电网运行优化提供数据支撑和技术参考。
As the power load continues to increase,the problem of distribution transformers and low voltage on the user side becomes increasingly prominent,which affects the reliability of power supply and the normal operation of electrical equipment.By collecting the operation data of distribution transformers and voltage data on the user side,data analysis model is established,and the causes of low voltage are deeply explored.It is found that the factors such as excessively long distribution lines,load imbalance and equipment aging lead to excessive voltage drop.In view of different causes,improvement strategies such as optimizing distribution variable capacity configuration,applying reactive power compensation devices,and reasonably adjusting tap are proposed,and the effectiveness of the strategies is verified by combining actual cases.Practice shows that the low voltage governance scheme based on big data analysis can effectively improve the quality of power supply,and provide data support and technical reference for the optimization of distribution network operation.
作者
郭越
杨梅
王建红
杨悦
GUO Yue;YANG Mei;WANG Jianhong;YANG Yue(Gansu Tongxing Intelligent Technology Development Co.,Ltd.,Lanzhou 730000,China)
出处
《电工技术》
2025年第S1期222-224,227,共4页
Electric Engineering
关键词
电力大数据
配电变压器
低电压分析
供电质量
power big data
distribution transformer
low voltage analysis
power supply quality
