Optimization method of steam turbine sliding pressure curve based on multi-dimensional sorting of large data of unit operation

• Main Authors: LIU ZHICHAO, CAO YONG, SUN JIANGUO, WAN JIE, LI XIAOMING, E PENG, YAO WEIQIANG, ZHANG HANZHU, LI ZHIGUO, YAO KUN, XU DONGSHENG, LI WENKE, MA ZHIGUO, FU JUNFENG, WANG JIANGANG, SUN DIANCHENG
• Format: Patent
• Language: Chinese; English
• Published: 01.02.2019
• Subjects: CALCULATING; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The utility model relates to a steam turbine sliding pressure curve optimization method based on multi-dimensional sorting of large data of unit operation, which relates to the control field of steamturbines in thermal power plants. It solves the problem of how to optimize the sliding pressure curve by using the large data of the unit in actual operation. The invention utilizes the historical data of the unit under N working conditions to carry out multiple sorting and an average method to screen the data, and the optimization point can be obtained through comparison, and finally the slidingpressure curve can be obtained. The invention mainly optimizes the sliding pressure curve of the steam turbine. 基于机组运行大数据多维排序的汽轮机滑压曲线优化方法，涉及火电厂汽轮机控制领域。解决了如何利用机组在实际运行中的大数据进行滑压曲线的优化问题。本发明利用机组的在N个工况下的历史数据进行多次排序以及取平均的方法对数据进行筛选，通过对比即可得到优化点，最终获得滑压曲线。本发明主要对汽轮机滑压曲线进行优化。