首页> 外文会议>Chinese Control and Decision Conference >Statistical model identification for cogeneration system using statistical analysis
【24h】

Statistical model identification for cogeneration system using statistical analysis

机译:利用统计分析识别热电联产系统的统计模型

获取原文

摘要

Cogeneration system isnonlinear, wide range of operating regime, and multivariate. The generating efficiency and thermoelectric conversion coefficient of turbine generator are affected by many factors such as load variation, extracted steam change, and unstable supplied power etc. In this paper, a statistical model identification algorithm has been proposed to build the model of generating efficiency. Firstly, key variables were selected by using stepwise regression method. Then, statistical models were identified in different operating regimes. The experimental results demonstrated the performance of the presented algorithm. The field engineer can take the developed model as a reference and determine the operating regime of cogeneration system. As a result, the power management is improved and the operating cost is reduced.
机译:热电联产系统是非线性的,工作范围很广,并且是多变量的。汽轮发电机的发电效率和热电转换系数受负荷变化,抽汽量变化,供电不稳定等因素的影响。本文提出了一种统计模型辨识算法来建立发电效率模型。首先,采用逐步回归方法选择关键变量。然后,在不同的操作方案中确定统计模型。实验结果证明了该算法的性能。现场工程师可以将开发的模型作为参考并确定热电联产系统的运行方式。结果,改善了功率管理并且降低了运行成本。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号