基于遗传算法的小水电站优化调度方法的研究与实践

Research and practice of optimum operation method based on genetic algorithm for small hydropower stations

针对以发电为主的小水电站单库和串联小水电站群,以水电站的发电引用流量为决策变量,以水电站在调度周期内发电量最大为目标,分别建立了优化调度的数学模型。基于浮点数编码的改进遗传算法用于对模型的优化计算,从而提高了算法的搜索效率。基于VC + +编程设计了小水电站运行调度智能算法系统软件,用类CbestGA封装了求解一般水库调度问题的遗传算法,并应用于一个实际的小水电站调度。

Optimum operation problems of small hydropower stations are studied mainly aiming at s single small hydropower station and a small cascaded reservoir system. Their optimization operation models for different variety are established. The water discharge is used to be variable and the objective of the model is maximal energy output in period of operation. GA based on float coding is applied to optimal calculation of the model for improving the search efficiency. Intelligence algorithm system software by VC + + program is designed for operation of a factual small hydropower station. In this system, GA for solving general problem of operation is encapsulated by class CbestGA. Experimental results show that for optimization operation of small hydropower station GA is viable and efficient.