Published June 2018 | Version v1
Journal article

Affine nonlinear control for an ultra-supercritical coal fired once-through boiler-turbine unit

  • 1. Department of Automation, Wuhan University, Wuhan 430072 (China)
  • 2. School of Engineering, RMIT University, Melbourne VIC 3001 (Australia)

Description

Highlights: • The affine nonlinear system theory is used to transform the nonlinear ultra-supercritical OTB system into a linear one. • An optimal LQR is designed for the linearization nominal system. • The optimal nonlinear control is established by coordinate conversion and condition feedback. • The proposed nonlinear optimal control scheme has good control performance on different load disturbances. The ultra-supercritical once-through boiler (OTB) unit is an advanced power generation technology with high plant efficiency, high coal utilization, and low emission. However, it is difficult to realize a coordinate control for the ultra-supercritical OTB unit to achieve fast and stable dynamic response during load tracking and grid frequency disturbances, and its complexity and nonlinearity result in the ultra-supercritical OTB unit becoming a multiple-input and multiple-output system filled with severe coupling and interference. According to the affine nonlinear system theory, a nonlinear control method is developed to solve nonlinear decoupled optimal control problems of a nonlinear ultra-supercritical OTB unit. Firstly, the exact linearization technique is used to transform the nonlinear ultra-supercritical OTB system into a linear one and an optimal LQR is designed for the corresponding nominal system. The optimal nonlinear control law can be derived by coordinate conversion and condition feedback and the study can be conducted for reasonable experiments and analysis. Then, compared with the linear PID control and model predictive control, the effectiveness and superiority of the proposed nonlinear optimal control have been verified through different loads disturbances from 50% to 100% using the Matlab/Simulink Toolbox.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.energy.2018.04.061

Additional details

Identifiers

DOI
10.1016/j.energy.2018.04.061;
PII
S0360544218306686;

Publishing Information

Journal Title
Energy (Oxford)
Journal Volume
153
Journal Page Range
p. 638-649
ISSN
0360-5442
CODEN
ENEYDS

Optional Information

Copyright
Copyright (c) 2018 Elsevier Ltd. All rights reserved.