建立由温州电网属下的梯级水电站群优化调度的数学模型,采用基于浮点数编码的改进遗传算法对该模型进行了优化计算,该算法设计编程简单,计算量小,收敛速度快。利用三插溪水库的入库径流实测值进行了仿真实验,实验结果表明优化调度比常规调度经济效益超过5%,说明了遗传算法用于梯级水电站群优化调度既可行又有效。 The mathematic model of cascade hydropower station group under the Wenzhou power grid is set up. The model is optimized by the improved genetic algorithm based on floating-point coding. The algorithm has the advantages of simple programming, small computation and fast convergence. Experimental results show that the economic benefits of the optimized operation are over 5% compared with the conventional operation, which shows that the genetic algorithm is feasible and effective for the optimal operation of cascaded hydropower stations.