An Efficient Robust Predictive Control of Main Steam Temperature of Coal-Fired Power Plant

Di Wang, Xiao Wu and Jiong Shen
Additional contact information
Di Wang: Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, Southeast Univerisity, Nanjing 210096, China
Xiao Wu: Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, Southeast Univerisity, Nanjing 210096, China
Jiong Shen: Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, Southeast Univerisity, Nanjing 210096, China

Energies, 2020, vol. 13, issue 15, 1-24

Abstract: Regulating performance of the main steam temperature (MST) system concerns the economy and safety of the coal-fired power plant (CFPP). This paper develops an offset-free offline robust model predictive control (RMPC) strategy for the MST system of CFPP. Zonotope-type uncertain model is utilized as the prediction model in the proposed RMPC design owing to its features of higher accuracy, compactness of representation and less complexity. An offline RMPC aiming at the system robustness and computational efficiency is then developed to maintain the desired steam temperature in case of wide operating condition change. The proposed RMPC is realized by two stages: in the first stage, the RMPC law set, which is the piecewise affine (PWA) of the MST system state is designed offline; then in the second stage, the explicit control law is selected online according to the current state. To achieve an offset-free tracking performance, a manipulated variable target observer is employed to update the chosen RMPC law. The control simulations using on-site operating data of a 1000 MW ultra-supercritical power plant show that the proposed approach can achieve satisfactory control performance and online computation efficiency even under complicated operating conditions.

Keywords: energy system control; coal-fired power plant; uncertain model; robust model predictive control; explicit model predictive control (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: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1996-1073/13/15/3775/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/15/3775/ (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:13:y:2020:i:15:p:3775-:d:388426

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 ().