【摘要】 优化调度是一个典型的多阶段决策过程 ,其目的是以梯级电站在调度周期内发电量最大为目标 ,在保证大坝安全的前提下确定水库的最优放水决策。介绍采用浮点数编码的遗传算法对浙江安地水库梯级电站进行优化计算 ,通过和常规调度结果比较 ,说明了该算法的有效性及优化运行的优越性更多还原

【Abstract】 Optimal dispatching is a typical multi stage policy making process with the aim of achieving maximum generating capacity during dispatching period by the cascade hydropower stations and determining the optimal water discharge while guaranteeing the security of the dam. The optimization calculation was carried out with the cascade hydropower stations using genetic algorithm based on float coding. The effectiveness of the algorithm and the advantage of the optimal operation were revealed through comparison with the result of traditional dispatching.更多还原