Research on Intelligent Adaptive Control Method for Waste Heat Power Generation Stability Problem

• Published in: IEEE access Vol. 10; pp. 90017 - 90033
• Main Authors: Xiao, Yanjun, Zhang, Kun, Zhang, Yameng, Xiao, Yanchun
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive control; Atmospheric modeling; Control methods; Couplings; Decoupling; intelligent; Power generation; Process control; Proportional integral derivative; stability; Stability analysis; Thermal stability; Tracking errors; Valves; Waste heat; Waste heat power generation; Waste heat recovery; Waste utilization
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2022.3201653

The effective recovery and utilization of waste heat is an important part of the energy industry chain, but the gas source of waste heat has large fluctuations and strong random frequency changes, which easily affects the quality of power generation. In order to obtain more continuous and stable electricity in the process of waste heat power generation, this paper proposes an intelligent adaptive control method. This control method decouples the variables for the characteristics of strong coupling of the waste heat power generation system, which improves the anti-disturbance performance of the system on the one hand and reduces the steady-state tracking error of the system on the other hand. Experiments show that when the gas source fluctuates, the system fluctuation rate is stable within 7%; when the set value changes, the adjustment time is within 7 s, and the overshoot is small, so the performance is better than the traditional PID control method. The intelligent adaptive control method proposed in this paper is of great significance for the future development of intelligent grid-connected power generation.