金沙江梯级水库发电优化调度研究

Long-term optimal power scheduling of cascade hydropower plants in Jinshajiang River

以金沙江干流梯级水库群为研究对象,建立了兼顾保证出力要求以发电量最大为目标的梯级长期优化调度模型,利用遗传算法求解,同时还考虑了虎跳峡龙头水库的补偿调节作用,结果显示,梯级优化联合调度的效果更好,虎跳峡水库的补偿作用较为明显.

We established a long-term optimal power scheduling model for Jinshajiang cascade hydropower plants. The model took the power generation as optimal target in consideration of other power output requirements. Genetic algorithm was used to solve the problem. The compensative regulation of Hutiaoxia reservoir in Yunan Province, China, was taken into account. The research result shows the better effect of the optimal combined scheduling for cascaded hydropower plants, in which the Hutiaoxia reservior displays an obvious compensation function.