基于FP遣传算法的梯级水库短期优化调度  

Short-term optimal operation of cascade reservoirs based on FP genetic algorithm

作　　者：武学毅[1,2] 陈守伦[1] 郭倩[3] 

机构地区：[1]河海大学水利水电工程学院,南京210098 [2]中国水利水电科学研究院,北京100022 [3]北京工业大学建筑工程学院,北京100022

出　　处：《水力发电学报》2010年第1期72-75,101,共5页Journal of Hydroelectric Engineering

摘　　要：梯级水库短期发电优化调度是一个复杂的非线性问题,涉及变量较多、数据范围较大,传统二进制编码遗传算法严重影响搜索时间。采用实数编码遗传算法(FPGA)可以较好地解决计算精度与搜索时间问题。工程实例证明,FP遗传算法容易实现、计算准确、搜索计算速度快,对求解梯级水库短期优化调度可行、正确。Optimal operation of cascade reservoir power generation is a very complex nonlinear problem. This paper establishes a mathematic model for such all optimal operation, and then focuses on the solution steps using genetic algorithm with floating-point（FP） representation. A test case of practical application shows that the FP genetic algorithm that can be simply coded and easily implemented with a quick searching, is of higher efficiency and better accuracy in optimizing cascade reservoirs operation.

关 键 词：水利经济学 短期优化 FP遗传算法 梯级 水库调度 

分 类 号：TV697.12[水利工程—水利水电工程]