改进遗传算法在水电站日优化运行模型中的应用APPLICATION OF IMPROVED GENETIC ALGORITHM IN DAILY OPTIMAL OPERATION MODEL FOR HYDROPOWER STATIONS
贾嵘,李阳,丁建河,罗兴锜
摘要(Abstract)：
根据水电站日优化运行模型的特点,提出了一种基于遗传算法求解的新思路。该算法针对传统遗传算法的不足,设计了基于浮点数编码的选择、交叉、变异等遗传操作,并将其应用于水电站日优化运行模型的求解中。该算法实现简单,大大减小了求解问题的规模,有效地处理了模型中的各种约束条件,收敛速度快。仿真计算结果验证了该算法的有效性。
关键词(KeyWords)： 遗传算法;水电站;日发电计划;最优分配;电力系统
基金项目(Foundation):
作者(Author): 贾嵘,李阳,丁建河,罗兴锜
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参考文献(References)：
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