基于水动力模型和遗传算法的梯级泵站优化调度研究

Research of Optimized Dispatching of Cascade PumpingStations Based on Hydrodynamic Dispersion Model and Genetic Algorithm

引滦入津输水沿线采用梯级泵站级联提水的方式工作。为降低泵站系统总能耗,在分析研究梯级泵站输水特点的基础上,设计出梯级泵站站间水位优化结合各单级泵站站内机组优化的调度方法,并利用丹麦DHI MIKE11水动力模型和遗传算法分别建立了河道水位数学模型和泵站优化调度模型,根据各泵站机组实测运行记录,拟合了机组运行效能曲线来计算功耗。结合2011年该梯级泵站运行实测数据,验证了该调度方法的合理性、有效性,能够满足梯级泵站节能降耗的要求。

Cascade pumping stations working together is the way of pumping water used in the Tianjin Luanhe River Diver-sion Project,aims at energy saving and consumption reducing,the method of optimizing water level and the running mode of pumping stations together are introduced in this paper after analyzing the working feature of the cascade pumping sta-tions. The hydrodynamic dispersion model and optimized dispatching model of cascade pumping stations are built on the ground of DHI MIKE11 hydrodynamic dispersion model and genetic algorithm. Based on pumping stations operational log, the performance curve of the pumping stations is fit which help counting the energy used. The cascade pumping stations op-erational log in 2011 is used to validate this optimizing method and result shows that this method is rational and effective and can reach the goal of energy saving and consumption reducing.