Engineering Fastest Control: A New Process Control Method for Thermal Power Units

Shangyao Shi, Jiayu Chen, Jun Li, Jiahao Liu, Ziyi Wang, Zhiru Li, Pengyun Chen () and Lizhou Li ()
Additional contact information
Shangyao Shi: School of Software, North University of China, Taiyuan 030051, China
Jiayu Chen: School of Aerospace Engineering, North University of China, Taiyuan 030051, China
Jun Li: Electric Power Research Institute of Guangdong Power Grid Co., Ltd., Guangzhou 510080, China
Jiahao Liu: School of Software, North University of China, Taiyuan 030051, China
Ziyi Wang: School of Aerospace Engineering, North University of China, Taiyuan 030051, China
Zhiru Li: School of Aerospace Engineering, North University of China, Taiyuan 030051, China
Pengyun Chen: School of Software, North University of China, Taiyuan 030051, China
Lizhou Li: School of Aerospace Engineering, North University of China, Taiyuan 030051, China

Energies, 2024, vol. 17, issue 4, 1-16

Abstract: The intermittent and volatile nature of wind power generation necessitates thermal power units to provide deep-peak shaving and fast frequency regulation services within the same grid. However, the current proportional integral differential (PID) control performance in the process control foundation of thermal power units falls short of meeting these requirements. Despite the lack of comprehensive research on engineering fastest control (EFC), this article aims to address this gap by studying and analyzing the mechanism and physical defects of the fast tracking filter (FTF), the output tracking input characteristics of EFTF reconstructed by FTF engineering, and the control performance of the constructed EFC. Through mathematical calculation analysis, simulation experiments, and real-world engineering practice, it is concluded that EFC surpasses the limitations of PID control performance and effectively enhances feedback control performance. As a result, it is deemed suitable for process control in thermal power units.

Keywords: PID control; fastest tracking filtering; engineering reconstruction; engineering fastest tracking filtering; engineering fastest control; coal-fired thermal power units (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/17/4/924/pdf (application/pdf)
https://www.mdpi.com/1996-1073/17/4/924/ (text/html)

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:gam:jeners:v:17:y:2024:i:4:p:924-:d:1339823

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().