脉冲负载下柴油发电机组建模优化与评价

Optimization and evaluation of simulation model for diesel generator set with pulse load

  • 摘要: 针对柴油发电机组-三相不控整流器-DC/DC变换器-脉冲负载系统中柴油发电机组的输出特性,提出仿真模型与试验电源输出电压(流)波形契合度的评价指标,以判断模型的仿真程度;提出了基于反向(BP)传播神经网络算法的同步发电机励磁电压输出动态限幅方法,应用于脉冲负载下柴油发电机组的模型优化。试验验证表明:27组算例中,初始仿真模型有18组波形实时契合度值不足90%,优化仿真模型27组值均大于90%。说明本文提出的优化方法使仿真模型比初始模型更加有效,可应用于后续柴油发电机组带脉冲负载系统的研究。

     

    Abstract: Aiming at the output characteristics of diesel generator set with pulse load, an index is proposed to evaluate the consistency of output voltage (current) waveform to judge the simulation degree of the model. Also, a dynamic limiting method for synchronous generator excitation voltage output based on BP neural network algorithm is proposed, and it is applied to the model optimization of diesel generator set. Experimental results show that among the 27 sets of examples, 18 groups’ real-time waveform proximity (RWP) values are less than 90% in the original simulation but in the optimized simulation, the RWP values of all the test groups are higher than 90%, indicating that the optimized simulation model is more effective, and can be applied to further research on diesel generator set with pulse load.

     

/

返回文章
返回