【摘要】：水庫興利、防洪和生態(tài)等目標之間既非完全協調也非完全對立,這是多目標間協調的物理基礎。本文綜合考慮水庫不同目標間的矛盾性和統一性,構建考慮生態(tài)和興利的水庫多目標優(yōu)化調度模型,為提高模型求解效率,本文提出了一種基于個體約束和群體約束技術的改進快速非劣排序遺傳算法(ICGC-NSGA-Ⅱ)。以黃河下游小浪底-西霞院梯級水庫為例進行多目標優(yōu)化調度,綜合考慮下游不同時期各生態(tài)功能用水和綜合利用需求,建立黃河下游梯級水庫多目標調度模型,并采用ICGC-NSGA-Ⅱ求解,探究水庫的供水效益、發(fā)電效益和生態(tài)效益之間的關系。實例研究表明,改進算法能在較短時間內獲取一組反映多目標間非劣關系的調度方案集。黃河下游生態(tài)、綜合供水和發(fā)電效益之間存在不對稱競爭關系,一方面隨發(fā)電量增加,生態(tài)供水和綜合供水保證率均呈下降趨勢;另一方面發(fā)電和生態(tài)供水競爭強烈,而與綜合供水競爭關系較弱。研究成果可為制定黃河下游多目標共贏的調度方式提供理論基礎和決策依據。
[Abstract]:The objectives of reservoir prosperity flood control and ecology are neither completely coordinated nor completely opposed which is the physical basis of multi-objective coordination. In this paper, considering the contradiction and unity among different objectives of the reservoir, a reservoir multi-objective optimal operation model considering ecology and profit is constructed, in order to improve the efficiency of solving the model. In this paper, an improved fast noninferior sorting genetic algorithm (ICGC-NSGA- 鈪，

本文編號：2244197