摘要
为满足水电厂实时调度需要,构建了以发电量最大为目标的径流式水电厂实时优化调度模型,采用离散动态规划法逐步逼近寻优计算,开发出径流式水电厂实时优化调度系统。该系统可预报计算未来24 h的入库流量过程,并可实时滚动计算满足约束条件的未来24 h内各时段最优发电运行过程,从而量化指导水电厂实时优化调度。通过对6座径流式水电厂的应用,入库流量计算准确率达98%以上,平均每年可优化增加发电量4 500万k W·h。
In order to meet the requirements of hydropower station real-time scheduling, the real-time optimal scheduling model of run-off hydropower station is built with the goal of maximizing power generation. The discrete dynamic programming method is adopted in model calculation. The real-time optimal scheduling system can forecast the flow process of next 24 hours, and calculate the power generation process of next 24 hours which satisfies the requirements of constraint conditions in the ways of real-time and rolling. The system has been used in six run-off hydropower stations, and the results show that the accuracy rate of inflow calculation is more than 98% and the average annual power generation increases 45 million k W·h.
出处
《水力发电》
北大核心
2016年第4期97-100,108,共5页
Water Power
关键词
径流式水电厂
实时优化调度
离散动态规划法
run-off hydropower station
real-time optimization dispatching
discrete dynamic programming