DocumentCode
2317915
Title
Online performance test software and its application for Large Capacity Combined-cycle Units
Author
Gao, Jianqiang ; Fan, Xiaoying ; Zhao, Junyou
Author_Institution
North China Electr. Power Univ., Baoding
fYear
2008
fDate
21-24 April 2008
Firstpage
192
Lastpage
195
Abstract
The paper introduces an online performance test software for large capacity combined-cycle units. The software is composed of four parts, i.e. the integrated modular modeling software (IMMS), real time database software, client browser software and communication software. The results of the model are displayed in B/S mode on the userpsilas terminals. With IMMS, on-line performance calculating model is developed by means of modular modeling method, which follows the guidelines of ldquoPerformance Test Code on Overall Plant Performancerdquo (PTC46-1996). All the primary parameters used for model calculation are from DCS of the unit. The software has been successfully applied to a 395 MW combined-cycle power unit for a year. It runs stably and reliably. It can provide the economic indicator on line, such as gross equipment power output and gross equipment heat rate etc., so as to help operators monitoring and adjusting the operation of unit more efficiently.
Keywords
combined cycle power stations; condition monitoring; power engineering computing; power generation reliability; power system stability; testing; client browser software; communication software; integrated modular modeling software; large capacity combined-cycle unit; online performance test software; real time database software; Application software; Cogeneration; Databases; Distributed control; Economic indicators; Guidelines; Monitoring; Performance evaluation; Software performance; Software testing; combined-cycle; condition monitoring; modeling; online; power generation testing; programming;
fLanguage
English
Publisher
ieee
Conference_Titel
Condition Monitoring and Diagnosis, 2008. CMD 2008. International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-1621-9
Electronic_ISBN
978-1-4244-1622-6
Type
conf
DOI
10.1109/CMD.2008.4580261
Filename
4580261
Link To Document