水电站站内运行优化通用系统设计

Design of the general system for operation optimization of hydropower station

利用人工神经网络建立水轮机组能量特性模型并用遗传算法进行优化,统一采用多项式方式分别对水电站内各台水轮发电机组的引水管路进行分段水头损失计算,在对下游水位和流量关系处理时,除利用流量-下游水位关系曲线计算外,针对特殊情况引入了逻辑条件输入模式进行编程处理,设计了通用的水电站站内优化系统。试运行结果表明,该系统在处理电站参数、管路水力损失、下游水位及优化运行等方面均表现出很好的适应性。

Aiming for the various type hydropower stations, artificial neural network with Genetic Algorithm have been adopted to establish the energy characteristic model of the hydropower station. In this paper, the polynomial method is adopted uniformly to calculate sectional head loss of water diver- sion pipeline for each water turbine generating set respectively. For the relationship of the downstream water level and the flow, besides the application of the polynomial calculation method, for the special case, the logic condition input mode is introduced to be programmed and the system for general optimization of hydropower station is also designed having been in trial operation for some hydropower stations which show the good adaptability in processing the parameters, head loss and downstream water level and so on.