Peak Capacity Enhancement of Biomass Power Plants Based on Modified Active Disturbance Rejection Control And Feedforward Decoupling

This paper focuses on the peak capacity enhancement of biomass power plants, where biomass power plants receive increasing attention with the rapid development of agriculture. Firstly, the degree of coupling is analyzed for the coordinated control system of biomass power plants, and then a control structure combining modified active disturbance rejection control and feedforward decoupling is proposed. The design methods of modified active disturbance rejection control and feedforward decoupling are presented. Simulation results show that the proposed control structure has better tracking performance, and strong abilities to reject external disturbances and loop coupling. The results of Monte Carlo experiments indicate that it can also handle system uncertainties well compared with comparative controllers. This means that the proposed control structure can play a core role and have promising application prospects for the peak process of biomass power plants.

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Publication Details

Published
2025-05-17
DOI
https://doi.org/10.1109/yac66630.2025.11150093
Primary Topic
Neural Networks and Applications
Type
article
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article

Peak Capacity Enhancement of Biomass Power Plants Based on Modified Active Disturbance Rejection Control And Feedforward Decoupling

Neural Networks and Applications
article

Peak Capacity Enhancement of Biomass Power Plants Based on Modified Active Disturbance Rejection Control And Feedforward Decoupling

article en

Abstract

This paper focuses on the peak capacity enhancement of biomass power plants, where biomass power plants receive increasing attention with the rapid development of agriculture. Firstly, the degree of coupling is analyzed for the coordinated control system of biomass power plants, and then a control structure combining modified active disturbance rejection control and feedforward decoupling is proposed. The design methods of modified active disturbance rejection control and feedforward decoupling are presented. Simulation results show that the proposed control structure has better tracking performance, and strong abilities to reject external disturbances and loop coupling. The results of Monte Carlo experiments indicate that it can also handle system uncertainties well compared with comparative controllers. This means that the proposed control structure can play a core role and have promising application prospects for the peak process of biomass power plants.

Electric Power Research Institute (US), Zhengzhou University (CN), Shangqiu Institute of Technology (CN), Shanghai Electric (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 25%
Neural Networks and Applications
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Peak Capacity Enhancement of Biomass Power Plants Based on Modified Active Disturbance Rejection Control And Feedforward Decoupling · (2025) | TGRS Research Map | TGRS