关键词: 发电要素, 关联规则, 数据挖掘, 目标电量

Abstract: The assessment of power generation ability is an important aspect in the regulation of hydropower plant. The correlation between targeted power generation quantity and the water level, water quantity obtained from historical data has great referential value to the regulation of hydropower plant. In this paper, the methods for format conversion were proposed, which made the data of hydropower plant generation regulation be available to data mining through the way that calibrates the range of related parameters. In detail, the range of water level was from dead level to the maximum flood level, the range of power generation was from the minimal to the installed capacity, and the range of water inflow and interval flow were determined by the frequency curve. All the parameter ranges were divided into 10 intervals, and each of them was labeled with certain name. Based on this, using FP-tree algorithm and taking two hydropower plants on Wujiang River as example, the association rules of water level and water quantity were calculated in the conditions of various months and power generation aims. The coupled relations of lowest levels, inflow and interval water quantity were discussed to meet the given targeted power generation.

Key words: key factors for power generation, association rules, data mining, hydropower station