Operating parameters optimization of thermal power unit based on data mining

Chunhui Feng; Yanqiao Chen; Jinkun Liu

Operating parameters optimization of thermal power unit based on data mining

Chunhui Feng^*
, Yanqiao Chen
, Jinkun Liu

^*Corresponding author for this work

School of Automation Science and Electrical Engineering

Beihang University
Guodian Science and Technology Research Institute

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Rationally fixing operation optimization target values of thermal power sets is the premise and foundation of effectuating performance evaluation and operation optimization, which is the key for the power station to save energy and reduce consumption. The paper proposes using data mining to find the optimization target value of controllable parameters. Based on the history data stored in supervisory information system of a 600WM unit, firstly, a clustering method is used to construct fuzzy sets for the steady-state operating data under specific operation condition. Then, fuzzy association rules mining algorithm is used to get the operating target values when the power consumption rate is relatively low. Thus the operation optimization curve can be obtained to guide the practical operation.

Original language	English
Title of host publication	Proceedings of the 30th Chinese Control Conference, CCC 2011
Pages	2119-2123
Number of pages	5
State	Published - 2011
Event	30th Chinese Control Conference, CCC 2011 - Yantai, China Duration: 22 Jul 2011 → 24 Jul 2011

Publication series

Name	Proceedings of the 30th Chinese Control Conference, CCC 2011

Conference

Conference	30th Chinese Control Conference, CCC 2011
Country/Territory	China
City	Yantai
Period	22/07/11 → 24/07/11

Keywords

Clustering
Fuzzy Association Rules
Operating Optimization

Cite this

@inproceedings{8515097a63234d0ca6e208f57a425c0c,

title = "Operating parameters optimization of thermal power unit based on data mining",

abstract = "Rationally fixing operation optimization target values of thermal power sets is the premise and foundation of effectuating performance evaluation and operation optimization, which is the key for the power station to save energy and reduce consumption. The paper proposes using data mining to find the optimization target value of controllable parameters. Based on the history data stored in supervisory information system of a 600WM unit, firstly, a clustering method is used to construct fuzzy sets for the steady-state operating data under specific operation condition. Then, fuzzy association rules mining algorithm is used to get the operating target values when the power consumption rate is relatively low. Thus the operation optimization curve can be obtained to guide the practical operation.",

keywords = "Clustering, Fuzzy Association Rules, Operating Optimization",

author = "Chunhui Feng and Yanqiao Chen and Jinkun Liu",

year = "2011",

language = "英语",

isbn = "9789881725592",

series = "Proceedings of the 30th Chinese Control Conference, CCC 2011",

pages = "2119--2123",

booktitle = "Proceedings of the 30th Chinese Control Conference, CCC 2011",

note = "30th Chinese Control Conference, CCC 2011 ; Conference date: 22-07-2011 Through 24-07-2011",

}

Operating parameters optimization of thermal power unit based on data mining. / Feng, Chunhui; Chen, Yanqiao; Liu, Jinkun.
Proceedings of the 30th Chinese Control Conference, CCC 2011. 2011. p. 2119-2123 6000938 (Proceedings of the 30th Chinese Control Conference, CCC 2011).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Operating parameters optimization of thermal power unit based on data mining

AU - Feng, Chunhui

AU - Chen, Yanqiao

AU - Liu, Jinkun

PY - 2011

Y1 - 2011

N2 - Rationally fixing operation optimization target values of thermal power sets is the premise and foundation of effectuating performance evaluation and operation optimization, which is the key for the power station to save energy and reduce consumption. The paper proposes using data mining to find the optimization target value of controllable parameters. Based on the history data stored in supervisory information system of a 600WM unit, firstly, a clustering method is used to construct fuzzy sets for the steady-state operating data under specific operation condition. Then, fuzzy association rules mining algorithm is used to get the operating target values when the power consumption rate is relatively low. Thus the operation optimization curve can be obtained to guide the practical operation.

AB - Rationally fixing operation optimization target values of thermal power sets is the premise and foundation of effectuating performance evaluation and operation optimization, which is the key for the power station to save energy and reduce consumption. The paper proposes using data mining to find the optimization target value of controllable parameters. Based on the history data stored in supervisory information system of a 600WM unit, firstly, a clustering method is used to construct fuzzy sets for the steady-state operating data under specific operation condition. Then, fuzzy association rules mining algorithm is used to get the operating target values when the power consumption rate is relatively low. Thus the operation optimization curve can be obtained to guide the practical operation.

KW - Clustering

KW - Fuzzy Association Rules

KW - Operating Optimization

UR - https://www.scopus.com/pages/publications/80053084752

M3 - 会议稿件

AN - SCOPUS:80053084752

SN - 9789881725592

T3 - Proceedings of the 30th Chinese Control Conference, CCC 2011

SP - 2119

EP - 2123

BT - Proceedings of the 30th Chinese Control Conference, CCC 2011

T2 - 30th Chinese Control Conference, CCC 2011

Y2 - 22 July 2011 through 24 July 2011

ER -

Operating parameters optimization of thermal power unit based on data mining

Abstract

Publication series

Conference

Keywords

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