梯级水电站群优化调度算法研究

根据梯级水电站群远程集控调度的特点,研究了适用于梯级水电站群的优化调度算法。讨论了梯级水电站群优化调度准则,对几种典型优化算法的适应性和局限性进行了分析比较。结果表明,在流域梯级电站数量较少时可采用动态规划算法,在流域梯级电站规模较大时可采用基于遗传算法的改进型优化算法。按照流域梯级水电站的实际情况采用适应的优化算法,才能发挥梯级水电站远程集控优化调度系统的优势。

Study on Optimal Scheduling Algorithm of Cascade Hydroelectric Stations

According to the characteristics of the cascade hydropower stations remote control scheduling,optimal scheduling algorithm applicable for the cascade hydropower stations was studied.Adaptability and limitations of several typical optimal algorithms were analyzed and studied on the basis of introducing optimal scheduling criteria of cascade hydropower stations,the results showed that dynamic programming algorithm can be used when river basin cascade hydropower stations are few,improved optimization algorithm based on genetic algorithm can be used when the river basin cascade hydropower plant size is larger.Adaptive optimization algorithm can be adopted in accordance with the actual situation of the cascade hydropower stations,thereby maximizing the advantages of remote centralized control optimized scheduling system in cascade hydropower stations.