A Concurrent Simulation Framework of Power Plant for Online Fuel Analysis Based on GRNN Neural Network

摘要：

　　A concurrent simulation framework is proposed for biomass-coal blending combustion.General Regression Neural Network (GRNN) is employed as a fast black box model for biomass property modeling.Higher Heat value (HHV) and fractions of C,H.O.N.S are selected as output and input parameters and the training is based on data collected from literatures.Then the model is combined with simulator of power plant to simulate operation process concurrently.Experiments on a 750 MW and a 550MW power plant system show that the framework can provide fast and flexible simulation of a batch of operation process concerning fuel changing,whilst keeping the computing accuracy at an acceptable level.

关键词： concurrent simulation fuel property modeling general regression neural network (GRNN) online power plant

作者: Jingge SONG Xiaochao MA Boshu HE Linbo YAN Xiaohui PEI Chaojun WANG

作者单位: School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University,Beijing, China

会议类型: 国际会议

会议名称: The 21st ISPE International Conference on Concurrent Engineering (2014国际并行工程学术会议)

会议地点: 北京

会议语种:英文

页码: 506-514

在线出版日期: 2014-09-08（万方平台首次上网日期，不代表论文的发表时间）