水电站群优化调度的FP遗传算法

A FP Genetic Algorithm for Reservoir Operation Optimization

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 optimum operation of multi-hydropower stations is a dynamic control problem which contains nonlinear objective function, linear and nonlinear constraints.Many methods have been developed for the optimization of reservoir management and operation.This paper presents a genetic algorithm with floating point representation(FPGA) for optimizing operation of reservoirs.The FPGA is suitable for reservoir operation problem from both a mathematical and pratical point of view. Its main advantages lie in great robustness and less memory space.At the same time combining FP representation with special operators can greatly improve GA's performance and such approach provides new means for overcoming dimensionality curse of reservoir operation problem.A case study is given.