基于数据分区的负荷密度显示的实现

Implement of visualization of load density based on data-partitioning

以Arc/info作为开发平台,提出电力系统区域负荷密度分区显示的实现方法,将地理信息系统与电力系统节点数据相结合,应用最近邻优先吸收算法将区域负荷节点进行分区,并结合实例表明该方法简洁可靠,能够满足实际需要。

This paper introduces how to implement the visualization for load density based on data-partitioning. By combining geographical information with nodal operation data of power system, making the regional nodes of load clustered by using Nearest Neighbors Absorbed First clustering algorithm. Example on test grid shows that the proposed method is simple, reliable and competent for the practical operation of power network.