摘要
应用可变精度粗糙集,对水电站水库最优出力规则进行知识发掘,并获得了出力决策规则.与一般优化调度规则相比,基于粗糙集的规则隐含了决策时段以外的入库水量信息,不同于仅以当前时段水库来水和水位进行决策的常规优化调度,具有更大的灵活性和合理性.
With a hydropower plant optimum output problem as an example, the output decision-making rules of a power station are obtained through knowledge discovery by introducing variable precision rough set. Compared with general optimized results determined only by water level and inflow of reservoir in current time, the proposed rule based on rough set contains both the current inflow information of reservoir and information of other period, with great flexibility and rationality.
出处
《应用科学学报》
CAS
CSCD
北大核心
2007年第6期645-650,共6页
Journal of Applied Sciences
基金
国家自然科学基金资助项目(50679070)
关键词
水资源
变精度粗糙集
信息系统
水电站最优出力
规则提取
water resources
variable precision rough set
information system
power station optimum output
rules generating