水电站群中长期调度优化

Annual Optimal Operation of Hydropower Station Group Based on TS-GA

比较了遗传算法和Tabu搜索两种算法的优缺点,针对水电站群中长期调度优化的复杂性、高维性和非线性特点,提出利用TS-GA组合算法的策略,应用于水电站群中长期调度优化中。计算机仿真结果表明:与单一优化算法相比较,TS-GA组合算法具有更强的全局寻优能力和更少的寻优时间,因而是一种很有应用前景的水电站群中长期调度优化方法。

The advantages and disadvantages of Genetic Algorithm （GA） and Tabu Search （TS） are compared, and a TS-GA coupling method for the long and medium-term optimal operation of hydropower station group, which is complex and nonlinear with high dimension, is presented. Computer simulation result of an example of the annual optimal operation of hydropower station group has shown that the TS-GA coupling method is more efficient and powerful for overall optimization than the single TS or GA method, and it will have a good foreground for the annual optimal operation of hydropower station group in the future.