4.7 Article

Direct energy balance based active disturbance rejection control for coal-fired power plant

Journal

ISA TRANSACTIONS
Volume 70, Issue -, Pages 486-493

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.isatra.2017.06.003

Keywords

Direct energy balance; Active disturbance rejection control; Extended state observer; Multi-objective optimization; Boiler-turbine unit

Funding

  1. Natural Science Foundation of Jiangsu Province, China [BK20170686]
  2. National Natural Science Foundation of China [51576040]
  3. National Key Technology RD Program [2015BAA01801]
  4. Fundamental Research Funds for the Central Universities in China [3203007452]

Ask authors/readers for more resources

The conventional direct energy balance (DEB) based PI control can fulfill the fundamental tracking requirements of the coal-fired power plant. However, it is challenging to deal with the cases when the coal quality variation is present. To this end, this paper introduces the active disturbance rejection control (ADRC) to the DEB structure, where the coal quality variation is deemed as a kind of unknown disturbance that can be estimated and mitigated promptly. Firstly, the nonlinearity of a recent power plant model is analyzed based on the gap metric, which provides guidance on how to set the pressure set point in line with the power demand. Secondly, the approximate decoupling effect of the DEB structure is analyzed based on the relative gain analysis in frequency domain. Finally, the synthesis of the DEB based ADRC control system is carried out based on multi-objective optimization. The optimized ADRC results show that the integrated absolute error (IAE) indices of the tracking performances in both loops can be simultaneously improved, in comparison with the DEB based PI control and H infinity control system. The regulation performance in the presence of the coal quality variation is significantly improved under the ADRC control scheme. Moreover, the robustness of the proposed strategy is shown comparable with the Ho. control. (c) 2017 Published by Elsevier Ltd. on behalf of ISA.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available