多元数据分析的配网图模设备及拓扑准确性反推技术

Multivariate Data Analysis of Distribution Network Graphics Model Equipment and Topology Accuracy Inversion Technology

针对现有配电网图模分析技术中精准度低、成本高和对系统性能需求高的问题,采用一种适用的解决方案。基于配网图模、PMS设备台账、营销配网设备台账和停电计划等信息构建配电网自动化系统,通过大数据分析技术,利用拓扑反推现有配网图模台账及多元数据合理性及准确性,提高了提升反校核范围和智能化程度。试验结果表明,方法误差只有0.4%。

Aiming at the problems of low accuracy,high cost and high demand for system performance in the existing power distribution network graph analysis technology,an appropriate solution was adopted.A distribution network automation system was built based on information such as distribution network diagrams,PMS equipment ledgers,marketing distribution network equipment ledgers,and power outage plans.Through big data analysis technology,the rationality and accuracy of the existing distribution network diagram model ledger and multivariate data were backward deduced by using topology,which improves the scope of counter-checking and the degree of intelligence.The test results show that the error of the method is only 0.4%.