应用BP神经网络确定汽轮机组滑压运行的最优初压  

DETERMINATION OF THE OPTIMUM PRESSURE FOR SLIDING-PRESSURE OPERATION OF TURBINE UNIT BY USING BP NEURAL NETWORK

作　　者：胡冰[1] 张仲民[1] 武永运[1] 张安祥[1] 于会群[1] 庄水祥 张建军 杜智武 

机构地区：[1]西安交通大学,陕西西安710049 [2]渭河发电有限公司,陕西咸阳712000

出　　处：《热力发电》2003年第7期24-26,38,共4页Thermal Power Generation

摘　　要：应用BP神经网络技术 ,对汽轮机组滑压运行特性进行了研究 ,并对其特性参数进行了优化。结果表明 ,应用BP神经网络 ,可以较准确地计算出不同负荷下汽轮机在不同初压下的热耗率 。A study on the peformance of sliding-pressure operation for turbine unit has been carried out by using back propagation(BP) neural network, and the performance parameters of said operation being optimized. The results show that the application of BP neural network can more accurately work out the computation for specific heat consumption of the said turbine unit in sliding-pressure operation under different loads with different initial pressure, thus the optimal initial pressure can be determined.

关 键 词：汽轮机组 滑压运行 BP神经网络 最优初压 热耗率 

分 类 号：TK267[动力工程及工程热物理—动力机械及工程] TP183[自动化与计算机技术—控制理论与控制工程]