Yan Ore Distribution Automation Design And Implementation

Distribution system is an important link to suplly and assign electricity to customers at the end of the power system.As generation,supplying and utilization of electrical production is simultaneous, it will result in system-wide interruption of supply to users once the distribution system failure. So distribution system reliability targets are actually the concentrated reflection of the entire power system structure and operating characteristics.In this thesis, Aiming at the problem analysis, and combined the civil optimization program of the power grid and Yankuang network development plan, it is conducted a design of distribution network automation for the resident city of Yanzhou Mining Group. Realizing urban distribution network automation first needs to solve the operation unreliable problem of the power network,Based on statistical data of power trip in recent years , lightning is the primary factor to influence power grid for safe operation. The number of suffering lightning to make the power supply circuit tripped up is almost all statistical power outage accidents.So,with ATP-EMTP method (Alternative Transient Program-Electromagnetic Transient Program) in this thesis,the lightning resisting level calculation of Yankuang power supply circuit is conducted, and combining with the actual, and to raise rebuilding measures of lightning resisting level from three aspects.Ensure that the basis of the electric reliable operation, then the urban distribution network automation system of Yankuang is planned and designed,to bring up the rational distribution of disconnect switches and contact switches; and to realize fault detection, isolation and power of the automatic recovery.This article is performed on the basis of reading much literature and field research and expert advices . Then selecting Yankuang grid as a typical target,the data collected is detailed,there is a certain reference and guiding significance for the large industrial and mining enterprises within the power grid optimization and transformation.