DPSA和大系统分解协调在梯级水电站短期优化调度中的应用研究

The application research of DPSA and large-scale system decomposition-coordination for cascaded hydroelectric short-term optimal scheduling

建立了梯级水电站短期优化调度的数学模型,在此基础上探讨了逐次逼近(DPSA)和大系统分解协调2种降“维”算法的主要思想和实现方法,并对其进行了较深入的对比分析,认为2种算法的核心思想是相同的,都将收敛于满意优化解。决策者可根据计算精度和时间等的需要从不同优化方法中选择,以寻求满意解。最后给出了2种优化算法在工程中的算例,其结果可供实际应用参考。

The mathematical model in cascaded hydroelectric short-term optimal scheduling is introduced. Then two methods,DPSA and Large-Scale System decomposition-coordination, are contrasted and analyzed in detail from calculating idea and process. Both methods will arrive convergence because of the identical idea. Finally,an example of two methods is given,whose results can be referred in real project. The two methods can be chosen on the need of precision and time etc.