摘要
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。
According to the features of daily optimal operation model of hydropower stations, a new idea based on genetic algorithm is proposed. To improve the defects in traditional genetic algorithm, in the proposed algorithm the floating mumber coding based genetic operations such as selection, chiasma and variation are designed and applied to the solution of hydropower station's daily optimal operation model. The proposed algorithm possesses high convergence speed and is easy to implement. The scale of the problem to be solve is evidently reduced and the constraints in the proposed model are effectively dealt with. Simulation results show that the proposed algorithm is effective and practicable.
出处
《电网技术》
EI
CSCD
北大核心
2005年第14期77-80,共4页
Power System Technology
关键词
遗传算法
水电站
日发电计划
最优分配
电力系统
Computer simulation
Electric power generation
Electric power systems
Genetic algorithms
Mathematical models
Problem solving
