Research on GPC Predictive Control Method for Ultra-Supercritical Units

Ultra-supercritical units are a critical component of modern power systems, playing a key role in efficient and clean power generation. However, traditional control methods face limitations due to the complex dynamics, nonlinearities, time delays, and multivariable couplings of these units. This paper introduces the Generalized Predictive Control (GPC) method to enhance control performance in ultra-supercritical units. It first analyzes the characteristics and control challenges of these units, followed by a detailed discussion on GPC principles and its advantages in unit control. A GPC-based control strategy is then designed, implemented, and validated through simulations, demonstrating improvements in response speed, control accuracy, and disturbance rejection. The paper concludes with a summary of findings and suggestions for future research directions.

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Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1109/sgei63936.2024.10914210
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Research on GPC Predictive Control Method for Ultra-Supercritical Units

Xiaowen Fan, Yanfei Li, Yuming Ding, Xuejun Ren et al.
Advanced Control Systems Optimization
article

Research on GPC Predictive Control Method for Ultra-Supercritical Units

Xiaowen Fan, Yanfei Li, Yuming Ding, Xuejun Ren, Pengwei Zhang, Dong Wang, Yingchun Wang, Li Dai, Xiujin Liang, Weizhen Hou, J. Dong
article en

Abstract

Ultra-supercritical units are a critical component of modern power systems, playing a key role in efficient and clean power generation. However, traditional control methods face limitations due to the complex dynamics, nonlinearities, time delays, and multivariable couplings of these units. This paper introduces the Generalized Predictive Control (GPC) method to enhance control performance in ultra-supercritical units. It first analyzes the characteristics and control challenges of these units, followed by a detailed discussion on GPC principles and its advantages in unit control. A GPC-based control strategy is then designed, implemented, and validated through simulations, demonstrating improvements in response speed, control accuracy, and disturbance rejection. The paper concludes with a summary of findings and suggestions for future research directions.

China Huadian Corporation (China) (CN), Northeastern University (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 65%
Advanced Control Systems Optimization
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Research on GPC Predictive Control Method for Ultra-Supercritical Units — Xiaowen Fan, Yanfei Li, et al. · (2024) | TGRS Research Map | TGRS