EconPapers    
Economics at your fingertips  
 

Fuzzy K-Means Network Based Generalized Predictive Control for Power Plant

Chen Peng (), Chuanliang Cheng () and Ling Wang ()
Additional contact information
Chen Peng: Shanghai University, School of Mechatronic Engineering and Automation
Chuanliang Cheng: Shanghai University, School of Mechatronic Engineering and Automation
Ling Wang: Shanghai University, School of Mechatronic Engineering and Automation

Chapter Chapter 7 in Reconstruction and Intelligent Control for Power Plant, 2023, pp 135-155 from Springer

Abstract: Abstract In modern power plant, ultra supercriticalUltra supercritical power plant (USC) unit is an advanced power generation equipment with high combustion efficiency and low pollution emissions. Due to the complexity of the system and the strong nonlinearity under large-scale load variations, conventional control methods are difficult to realize the coordinated control in the case of load tracking and power grid frequency disturbances.

Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-19-5574-7_7

Ordering information: This item can be ordered from
http://www.springer.com/9789811955747

DOI: 10.1007/978-981-19-5574-7_7

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-06-01
Handle: RePEc:spr:sprchp:978-981-19-5574-7_7