基于自适应进化规划算法的水电站厂内经济运行方法

Economic Operation Method of Hydropower Station Based on Adaptive Evolutionary Programming

为合理安排水电站厂内经济运行,提高水电站经济效益和综合效益,提出一种基于自适应进化规划算法的水电站厂内经济运行方法。建立了一种定负荷运行的厂内经济运行模型,综合考虑机组运行、水库运行、水电站综合利用等约束条件,并计及机组振动、开停机损失工况,结合自适应变异策略的进化规划算法对水电站厂内经济运行进行求解,解决了复杂约束条件下水电站厂内经济运行的问题。以三峡水电站为算例结果表明,所述方法能够科学的制定水电站厂内运行方式,且相较于传统进化规划算法具有更快的收敛速度和收敛平缓性。

In order to rationally arrange the economic operation of hydropower stations and improve the economic and comprehensive benefits of hydropower stations, an economic operation method of hydropower stations based on adaptive evolutionary programming algorithm is proposed. An in-plant economic operation model for fixed load operation is established, which considers the unit operation, reservoir operation, comprehensive utilization of hydropower stations,unit vibration,start-up and shutdown losses.and calculates the in-plant economic operation with adaptive evolutionary programming algorithm.The problem of in-plant economic operation under complex constraints is solved. The method is applied to the Three Gorges hydropower station. The results show that the method can scientifically formulate the operation mode of the hydropower station, and has faster convergence speed and smoother convergence than the traditional evolutionary programming algorithm.