Study of operation optimization based on data mining technique in power plants

被引：1

作者：

Li J. ^{[1
]}

Liu J. ^{[1
]}

Gu J. ^{[1
]}

Niu C. ^{[1
]}

机构：

[1] North China Electric Power University

来源：

Frontiers of Energy and Power Engineering in China | 2007年 / 1卷 / 4期

关键词：

Data mining; Fuzzy association rule mining; Operation optimization; Operation optimization value; Performance monitoring;

D O I：

10.1007/s11708-007-0067-1

中图分类号：

学科分类号：

摘要：

The determination of operation optimization value is very important for economic analysis and operation optimization in power plants. The operation optimization value determined by traditional methods usually cannot reflect the actual running states correctly in power plants with the increase in running time. Based on a large amount of history data stored in power plants, a way of operation optimization by applying data mining technique is proposed. The structure of operation optimi-zation based on data mining is established and the fuzzy association rule mining algorithm is introduced to find the operation optimization target value to guide the operation in power plants. Based on the actual local data in a 300 MW unit, the operation optimization value in typical load ranges is found out by data mining to provide better adjustment guidance in industry process. Experimental results show that the determination of operation optimization value based on data mining can improve the efficiency and decrease the emission of pollutants. © 2007 Higher Education Press and Springer-Verlag.

引用

页码：457 / 462

页数：5

共 9 条

[1] Li W., Ren H., Sheng D., Et al., Developing a software for analyzing on-line the energy-loss for 300 MW unit, Processings of the CSEE, 22, pp. 153-155, (2002)
[2] Cui Y., Zhang C., Zhou L., Determination method of base operation condition in on-line monitoring for thermal power plant, Journal of Power Engineering, 24, pp. 298-302, (2004)
[3] Hu H., Huang T., Ai W., Et al., Study and determination of operation optimization target values of large size fossil-fired power unit, Electric Power, 37, pp. 22-25, (2004)
[4] Li W., Liu C., Sheng D., Et al., Status and development trend of economic operation and optimization system in demestic coal-fired power plant, Power System Engineering, 20, pp. 59-61, (2004)
[5] Bao W., Yu D., Wang W., Et al., Sensor fault detection in thermal power plants based on association rule, Proceedings of the CSEE, 23, pp. 170-174, (2003)
[6] Agrawal R., Imielinski T., Swami A., Mining association rules between sets of items in large database, The 1993 ACM SIGMOD Conference, pp. 207-216, (1993)
[7] Tzung-Pei H., Chan-Sheng K., Sheng-Chai C., A fuzzy data mining algorithm for quantitative values, Third International Conference on Knowledge-based Intelligent Information Engineering System, pp. 480-483, (1999)
[8] Wang X., Effect of the parameters and systems on the operational economy for the steam turbo generator sets, Journal of Power Engineering, 17, pp. 48-52, (1997)
[9] Liu F., Performance characteristics identification and optimization of station boiler based on statistical analysis, Journal of Power Engineering, 24, pp. 477-480, (2004)

← 1 →