摘要
以人工神经网络为工具,建立了燃气发电机组和吸附式制冷机组成的微型冷热电联供系统的模型,对于模型的仿真结果进行了分析。通过对模型的分析和评价,发现人工神经网络模型能准确适应联供系统的高度非线性。仿真结果显示了模型与系统的实际运行规律较为符合,为以后指导系统的优化运行和控制的设计奠定了良好的基础。
The article uses the artificial neural network(ANN) as a tool to build the model of the micro Combined Cooling Heating and Power(CCHP) system based on gas engine and adsorption refrigerator and analyse the simulation results. Through the analyzation and evaluation, we find that the ANN model can adapt the high nonlinearation of the CCHP system.. The simulation results show that the model and the system actually operational rule have a good agreement, which makes a better foundation to supervise the optimal operation and the control design.
出处
《能源技术》
2006年第3期123-126,共4页
Energy Technology
基金
高校博士科学专项科研基金(20040248055)