论文部分内容阅读
本文提出了一种由水文随机模拟模型和网络模矢优化方法两部分所组成的水库隐性随机优化调度模型。其中水文随机模拟采用的是蒙特卡罗法(MC法);优化技术是应用由网络分析法与模矢探索法相结合而形成的网络模矢法(NAPS法)。该模型的主要特点是在采用上述两种模型的组合形式时进行了某些合理可行的处理技巧,使整个模型在保持具有较高决策精度的前提下,计算机时和存储量都较少,且不受“维数”的限制,因此,它表现出较好的经济性和实用性。
In this paper, we propose a reservoir implicit stochastic optimal scheduling model consisting of a hydrological stochastic simulation model and a network model optimization method. Among them, the Monte Carlo method (MC method) is adopted in the random simulation of hydrology; and the network mode method (NAPS method), which is formed by the combination of network analysis and modulo-search, is used as the optimization technique. The main features of this model are that some reasonable and feasible processing techniques are used in the combination of the above two models so that the whole model has less computer time and storage capacity while maintaining a higher decision precision Not limited by the “dimension”, therefore, it shows good economy and practicality.