摘要
遗传算法因其简单、通用、适于并行处理而用于解决非线性复杂问题。在研究了基于Matlab遗传算法工具箱(GAOT)的基础上,提出把水电站水库看作一个系统,把系统的各元素、输入/输出参数等简化和假设后建立简化通用的数学模型。用该数学模型讨论了实现梯级水电站的优化调度问题,详细分析了算法设计中遗传算法控制参数的确定、编码、随机生成初始母体群、适应度计算、选择、交叉、变异、停止准则判断等。以某梯级水电站为例,利用提出的优化调度模型计算了比较简单的情况,表明是可行的,对较复杂的情况也同样适用。
Because of its simplicity,generality and parallelism,GA（Genetic Algorithm） is effective for complex and nonlinear problems. The genetic algorithm toolbox of Matlab,named GAOT,is introduced. Regarding the reservoir of hydropower stations as a system and making some simplifica- tions and assumptions for its elements and input/output parameters,a simplified mathematical model is built up for the optimal dispatch of cascaded hydropower stations. The GA applied in it is discussed on control parameter determination,coding,random generation of initial parent group, fitness calculation,selection,crossover,mutation and end rules. With a cascaded hydropower station as an example,the proposed model for optimal dispatch is applied to a simple condition,resuh shows that it is feasible and also works in complex conditions.
出处
《电力自动化设备》
EI
CSCD
北大核心
2005年第11期30-33,共4页
Electric Power Automation Equipment
关键词
遗传算法
水电站
MATLAB
优化调度
genetic algorithm
hydropower station
Matlab
optimal dispatch
