基于改进遗传算法的水电站日优化调度方法研究

Research of developed genetic algorithm for short-term optimization operation of hydroelectric station

将遗传算法用于解决水电系统短期发电优化调度问题 ,利用改进的遗传算法初始编码方式 ,结合最优日调度权重系数 ,构造了水电站短期优化调度的改进遗传算法模型 ,由于原始基因已经具有了一定的规律性 ,所以模型具有计算速度快 ,结果准确、合理 ,便于实际调度需求等特点。实例证明 ,该方法能够求解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 。

A developed genetic algorithm for short term optimization operation of hydroelectric station is presented in this paper.On the basis of the developed algorithm of genetic code,the developed genetic algorithm model for short\|term optimization operation of hydropower station is constructed with the weight coefficients.The calculation results show that the advantages of the model are rapid,exact,reasonable and also easy realized.The calculation of an example shows that GA can solve the complex nonliner optimization problem,the algorithm programming is simple and easy realized。therefore,an efficient method is provided for short\|term optimization operation of hydroelectric station by the “separate price on separate time”.