摘要
配电网原有的停电管理决策方式缓慢、加之有的资料不全,有一定的盲目性,质量不高,停电效果不佳,最终影响到客户满意度,为改变这以现状需要一系列客观科学的数据来支持决策。基于配电网数据庞大的数据,利用深度优先搜索算法从配电网数据中提取相应数据,可以很好的辅助停电管理中的停电范围分析及转供电方案决策。
the original power cut management decision-making method is slow, and some information is not complete, there is a certain degree of blindness, quality is not high, the power failure effect is not good, ultimately affect customer satisfaction, to change this situation requires a series of objective scientiifc data to support decision-making. Based on the data of the distribution network data, the use of depth ifrst algorithm to extract the corresponding data from the distribution network data, can be a very good power supply management in the power outage range analysis and power supply scheme decision.
出处
《云南电力技术》
2016年第2期106-109,共4页
Yunnan Electric Power
关键词
配电网
深度优先搜索算法
停电
转供电
depth ifrst search
distribution network
power cut
power supply
