The Research Of Distribution GIS Data Management Methods And Its Application

With the development of electric power industry, the electric power network becomes denser, the load information varies rapidly, so do the road and constructions. There are many problems that attract people's attention, e.g. power-supply quality, environment protection, and electric de-regulation. Meantime, Geographic Information System ( GIS ) technology is developing rapidly. The GIS data management method and its application in distribution network running and planning to meet the requirements of practical distribution should be studied and established, which have important academic and practical values to improve the reliability of distribution power-supply. The distribution GIS data management methods and its application in distribution running are systematically researched :(1) With systematic analysis on the relationship between spatial data model and spatial data structure, the distribution feature and the two common GIS data models are analyzed, which are vector and raster data models. Then the conceptual and logic data models of distribution GIS are designed. The spatial data storage structure is given by using vector method, and their detailed data management methods are proposed. At last, the procedure of designing the property data coding and database by partitioning the dealing objects off information layer space step by step is given. Within these results, the foundation for research on its application in distribution running and planning is established.(2) The distribution electrical source and connected switch are defined to simplify the distribution GIS NTA, whose background is GIS map. Then the distribution GIS NTA is gotten, after the affected factors are analyzed, such as voltage grade. After the distribution GIS NTA coloring is defined and tested, the detailed method of realizing distribution GIS NTA coloring algorithm's function is concluded. Meanwhile, a new method that cut the rank degree of node-branch incidence matrix to distinguish radial branch from loop is proposed, which could speed up the loop topology coloring.