Abstract
The increasing energy demand and the changing of energy structure have imposed higher requirements on the conventional large-scale power plants control. Complexity of the power plant processes and the frequent change of operation condition make the accurate physical models hard to obtain for control design. To this end, a data-driven control strategy, the active disturbance rejection control (ADRC) has received much attention for the estimation and mitigation of uncertain dynamics beyond the canonical form of cascaded integrators. However, the robustness of ADRC is seldom discussed in a quantitative manner. In this study, the maximum sensitivity is used to evaluate and then constrain the robustness of ADRC applied to high-order processes. Firstly, by using the new idea of the vertical asymptote of the Nyquist curve, a preliminary one-parameter-tuning method is developed. Secondly, a quantitative relationship between the maximum sensitivity and the tuning parameter is established using optimization methods. Then, the feasibility and effectiveness of the proposed method is initially verified in the total air flow control of a power plant simulator. Finally, field tests on the secondary airflow control in a 330 MWe circulating fluidized bed confirm the merit of the proposed maximum sensitivity-constrained ADRC tuning.
Highlights
Power generation control remains a challenge problem due to the increasing electricity demand and the penetration of renewables—such as wind, solar, and tidal power—into a grid
The main contributions of this study are: (i) a simple quantitative active disturbance rejection control (ADRC) tuning method is proposed with the help of the asymptote of Nyquist curve, which is solved out for the first time; (ii) the desired maximum sensitivity is incorporated into the tuning formulas so that the proposed method can achieve certain robustness level with high precision; (iii) field tests in an in-service 330 MWe circulating fluidized bed (CFB)
Because the maximum sensitivity Ms is closely related to the open-loop transfer function Gl (s), the function Gl (s) of the first-order ADRC controlling the high-order processes is necessary for further analysis
Summary
Power generation control remains a challenge problem due to the increasing electricity demand and the penetration of renewables—such as wind, solar, and tidal power—into a grid. Fu [38] changed the ADRC into a two-degree-of-freedom internal model control (IMC) structure and suggested parameter tuning via IMC Those methods are simple and effective for practical use but the robustness requirements are often not considered. This study aims at deriving quantitative tuning rules for 1st-order ADRC that controls the typical high-order industrial processes under maximum sensitivity constraint. The main contributions of this study are: (i) a simple quantitative ADRC tuning method is proposed with the help of the asymptote of Nyquist curve, which is solved out for the first time; (ii) the desired maximum sensitivity is incorporated into the tuning formulas so that the proposed method can achieve certain robustness level with high precision; (iii) field tests in an in-service 330 MWe CFB unit verify the effectiveness and depict the potential of the proposed ADRC tuning method.
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