基于等熵原则的抽蓄电站过渡过程压力数据分析

水力机械过渡过程试验是调节保证计算模型验证的有效途径。长期以来,过渡过程压力数据处理由于缺乏相关标准的指导,测试结果与调节保证模型计算之间往往存在显著偏差。针对这一问题,本文引入排列熵和经验模态分解方法对数据进行处理,建立了压力数据处理的等熵准则:首先对实测压力进行经验模态分解,获得各阶本征模态函数;其次按熵增过程,由高阶向低阶逐步合成,直至获得与调节保证计算结果具有一致排列熵的试验数据;最后采用等熵数据进行调节保证计算模型验证。案列研究表明:结合经验模态分解方法的等熵准则可以有效获得水力机械过渡过程中压力数据的趋势项,实现调节保证计算模型的评估。

Transient process pressure analysis of hydroelectric power station based on isoentropy principle

Transient process test of hydraulic machinery is an effective way to verify the calculation model for regulating guarantee. By now,due to the lack of relevant guidance for the data analysis of transient process, there is often a significant deviation between the test results and the calculation results of regulating guarantee model. Therefore,permutation entropy (PE) and empirical mode decomposition (EMD) were introduced and isoentropy principle method was proposed for transient pressure data analysis. Firstly, EMD was applied to obtain intrinsic mode functions (IMFs) for the measured pressure signal. Secondly,by implementing entropy-increasing process, synthesize IMFs from high to low orders until the PE values of synthesized signal and regulation calculation result are identical; then use the synthesized signal to check regulation guarantee calculation model. The case research indicates that combining with EMD the pressure trend of signal manipulated by isoentropy principle can be obtained in hydraulic machinery transient processes, and the evaluation of regulation guarantee calculation can be achieved.