Research on Indexes of Energy Efficiency and Its Reference-value for Coal-fired Power Units Based on Data-mining

被引：0
|
作者：
Xu J. [1 ]
Gu Y. [1 ]
Wang Z. [1 ]
Li Q. [1 ]
Yang N. [1 ]
机构：
[1] National Thermal Power Engineering & Technology Research Center, North China Electric Power University, Changping District, Beijing
来源：
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2017年 / 37卷 / 07期
关键词：
Coal-fired power units; Data-mining; Energy efficiency indexes; Operation optimization; Reference-value;
D O I：
10.13334/j.0258-8013.pcsee.152768
中图分类号：
学科分类号：
摘要：
The operation optimization of the coal-fired power is of great significance to energy saving and consumption reduction. And how to choose the indexes of energy efficiency and determine its target-value is the key point to the optimized operation of the units. Based on the data mining algorithm, the historical operation data was analyzed: The energy efficiency features related to coal consumption of electricity supply was selected by grey correlation degree analysis algorithm; The target-value of the multi feature parameters in typical operating conditions was determined by K-means clustering algorithm; Combined with generalized regression neural network, the target value of the coal consumption of electricity supply under the reference condition was predicted; And the unit dynamic reference condition database under all conditions was established by spline interpolation for the sample points of the given target-value. Historical data of an ultra-supercritical water cooling unit with 1000 MW capacity was adopted as an instance to analyze, and results show that the proposed system can provide the adjustment direction for optimizing operation of the coal-fired power unit. © 2017 Chin. Soc. for Elec. Eng.
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页码：2009 / 2015
页数：6
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