遗传算法在短期发电优化调度中的研究与应用

Research and application of genetic algorithm to cascade hyroelectric stations' short-term optimization scheduling

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,并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 used for short-term generation optimization scheduling of stepped hy-dropower stations system and discusses the process for solving this problem with genetic algorithm (GA) in detail. The calculation result shows that GA can solve complex constrained nonlinear optimization problem and its advantages are simple programming and easy realization, therefore an efficient method is provided for short-term hydropower system scheduling.