摘要
将遗传算法用于解决梯级水电系统短期发电优化调度问题。建立了短期发电优化调度模型,详细阐述了用遗传算法解决问题的步骤。实例证明,该方法能够求解具有复杂约束条件下的非线性优化问题,算法编程简洁,易于实现,从而为梯级水电站短期发电优化调度问题提供了一种有效的解决方法。
This paper puts forward a model of Short-term generate electricity optimized scheduling and discuss the step of solving the problem with GA in detail. The calculating result of this model shows that GA can solve complex constrained nonlinear optimization problem and the advantages of it are following: simple programming ,easy realization, therefore an efficient method is provided for short- term cascaded hydro system scheduling.
出处
《计算机仿真》
CSCD
2003年第10期120-122,128,共4页
Computer Simulation
基金
国家教育部跨世纪优秀人才基金资助(2003714)