Song, Yuhui (Southeast University), Xia, Chunlin (Southeast University), Zhang, Junli (Southeast University), Wang, Jiaxing (Southeast University), Li, Yiguo (Southeast University)

Disturbance Rejection Model Predictive Control for Solar Collector Fields Based on Fast Fourier Transform

Scheduled for presentation during the Regular Session "Photovoltaic and Concentrated solar systems" (ThuS2T1), Thursday, July 11, 2024, 12:10−12:30, Salle des conférences

12th IFAC Symposium on Control of Power & Energy Systems, July 10-12, 2024, Rabat, Morocco

This information is tentative and subject to change. Compiled on January 2, 2025

Abstract

Stability of fluid temperature in the collector field guarantees for the safe operation of a trough solar power plant. As a control algorithm that handles process characteristics, the model predictive control (MPC) algorithm provides good effectiveness in temperature control of the collector field. In order to compensate for model errors and unmeasurable disturbances, this paper proposes a novel model predictive control algorithm based on the Fast Fourier Transform (FFT) to control the temperature of the collector field. During the control process, the dominant frequencies of model deviations and disturbances are acquired by the FFT. Then, the effects brought by these factors can be estimated and compensated in advance by the expansion of the prediction model and the calculation of the estimator. Simulation results show that the proposed FFT-based MPC algorithm has good disturbance rejection ability, especially for periodic disturbances.