摘要
本文从调度图概化、调度图模拟模型、目标函数以及优化算法等方面全面介绍了基于可行空间搜索遗传算法的调度图优化模型的原理及建模方法。针对调度图优化问题可行空间搜索困难的特点,在传统遗传算法概念基础上提出了可行空间搜索的概念。根据决策变量间的几何关系,设计了调度图优化问题的编码结构以及信息交互机制,以NSGA-Ⅱ算法为基础实现了优化模型的构建。将研究成果应用于寺坪水库调度图优化,与设计调度图模拟结果相比,发电效益及保证率均得到了明显提高。
The theory and modeling method for reservoir operation chart optimization using feasible range searching technique based on Genetic Algorithm is introduced from several aspects, including operation chart generalization, simulation model, objective function and optimization algorithm. In order to improve the search efficiency of feasible solutions in the optimization of operation chart, feasible range searching technique based on Genetic Algorithm is proposed in the model. Considering the geometric relevance among decision variables, the special encoding structure and information interaction mechanism of operation chart optimization is designed. Finally, the optimization model is structured based on NSGA-Ⅱ algorithm. In the case of optimization operation in Siping Reservoir, the generated energy and energy reliability were all enhanced comparing with the simulated results of designed operation chart.
出处
《水利学报》
EI
CSCD
北大核心
2013年第1期26-34,共9页
Journal of Hydraulic Engineering
关键词
调度图优化
调度图概化
可行空间搜索
遗传算法
operating chart optimization
operating chart generalization
feasible range searching
genetic algorithms
