基于电力大数据的配电变压器损耗治理研究

Research on Loss Control of Distribution Transformer Based on Power Big Data

文章采用数据中台的大数据技术,利用配变96点负荷运行数据和配电变压器容量、短路阻抗等静态参数,通过监测配电变压器平均负载率,精准定位空载、轻载配电变压器,采取合并轻载空载配电变压器、停运部分配电变压器的方法,降低配电变压器损耗。采用DataWorks(数据工场)开发平台,构建配电变压器损耗治理辅助系统,多维度分析配电变压器合并前后的损耗变化、降损收益等核心指标,模拟未来配电变压器合并场景,测算未来配电变压器合并前后各项指标的变化,加强专业分析,提升管理水平,降低综合线损率,减少企业运营成本。

The article uses the big data technology of the data center,uses the 96-point load operation data of the distribution transformer and static parameters such as the distribution transformer gas capacity and short-circuit impedance to accurately locate the no-load and light-load distribution by monitoring the average load rate of the distribution transformer For electric transformers,the method of combining light-load no-load distribution transformers and out-of-service distribution transformers is adopted to reduce the loss of distribution transformers.Use the DataWorks development platform to build a distribution transformer loss management auxiliary system,analyze the core indicators of loss changes before and after the merger of distribution transformers,loss reduction income and other core indicators in multiple dimensions,simulate future distribution transformer merger scenarios,and calculate future distribution transformers Changes in various indicators before and after the merger,strengthen professional analysis,improve management level,reduce comprehensive line loss rate,and reduce enterprise operating costs.