基于遗传模拟的水库发电优化调度模型及应用

为快速高效绘制适宜性强、效益高、便于操作的水库发电调度图，以常规发电调度图运行方式（时历法）作为模拟规则，以保证出力保证率满足前提下发电量最大为目标函数，借助实码加速遗传算法的并行计算能力，把调度图绘制（模拟规则）与有效性检验（智能优化）结合起来，建立水库发电优化调度模型。作为实例，应用该模型于中国某大型年调节水电站优化调度图绘制中。结果表明：该模型是有效的，可以考虑下游生态需水等水电站优化调度若干复杂约束条件与水库管理者的经验（常规调度绘制方法不能），调度图更符合实际；把调度图的绘制与有效性检验结合起来，得出的调度图无需再检验，较常规方法更为快速高效；利用了遗传算法的并行计算能力，可快速获得满足保证出力要求的多组优化调度方案（调度图），决策信息更加丰富。

Hydropower Reservoir Optimal Operation Model Combining Simulation Rules and Genetic Algorithm

Operating rules curves are the most commonly used tools for reservoirs management.A novel model,called hydropower reservoir optimal operation model combining simulation rules and genetic algorithm(hereafter referred to as a HROO SRGA) was set up, which combines two processes of the formulating of the operating rule curves and their validity check.HROO SRGA can get a set of satisfying reservoir operating rule curves which can consider the constraints of downstream the river ecological water requirement and guaranteed rate of guaranteed output of hydropower plant.This model was applied to a large annual storage plant in China,and the results showed that the proposed method is effective and can obtain many scheduling schemes which their capacity reliability and capacity are much higher than that of conventional operating rule curves did.