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水电站群的优化调度是个含有线性与非线性约束，而且目标函数是非线性的动态最优控制问题，已有的优化方法大多基于数学规划技术。本文提出一种新方法，即浮点表示的遗传算法（简称ＦＰＧＡ），它的主要优点在于状态和控制变量不必离散化，所需内存少，编程简单，它为克服水电站群优化调度“维数灾”问题提供了一条新途径。
The optimal scheduling of a hydropower station is a dynamic optimal control problem that contains both linear and nonlinear constraints and the objective function is nonlinear. Most existing optimization methods are based on mathematical programming techniques. The main advantage of this paper is that the floating-point representation of the genetic algorithm (FPGA) has the main advantage that the state and control variables do not have to be discretized, the memory required is small, and the programming is simple. In order to overcome the optimal scheduling of hydropower plants, Disaster "provides a new way.