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Research on Intelligent Predictive AGC of a Thermal Power Unit Based on Control Performance Standards

School of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China
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Energies 2019, 12(21), 4073; https://doi.org/10.3390/en12214073
Received: 5 July 2019 / Revised: 12 October 2019 / Accepted: 23 October 2019 / Published: 25 October 2019
In order to satisfy the growing demands of control performance and operation efficiency in the automatic generation control (AGC) system of a grid, a novel, intelligent predictive controller, combined with predictive control and neural network ideas, is proposed and applied to the AGC systems of thermal power units. This paper proposes a Bayesian neural network identification model for typical ultra-supercritical thermal power units, which was found to be accurate and can be used as a simulation model. Based on the model, this paper develops an intelligent predictive control for the AGC of thermal power units, which improves unit load operation and constitutes a novel, closed-loop AGC structure based on online control performance standard (CPS) evaluations. Intelligent predictive control is mainly improved because the neural network rolling optimization model replaces the traditional rolling optimization model in the rolling optimization module. The simulation results indicate that the intelligent predictive controller developed in the two-area interconnected power grid under CPS can, on the one hand, improve the load tracking performance of AGC thermal power units, and, on the other hand, the controller has strong robustness. Whether the system parameters change considerably or the AGC has different grid disturbances, the new type of the loop AGC system can still sufficiently meet the control requirements of the power grid. View Full-Text
Keywords: automatic generation control; Bayesian neural network identification; control performance standard; intelligent predictive control automatic generation control; Bayesian neural network identification; control performance standard; intelligent predictive control
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MDPI and ACS Style

Peng, D.; Xu, Y.; Zhao, H. Research on Intelligent Predictive AGC of a Thermal Power Unit Based on Control Performance Standards. Energies 2019, 12, 4073. https://doi.org/10.3390/en12214073

AMA Style

Peng D, Xu Y, Zhao H. Research on Intelligent Predictive AGC of a Thermal Power Unit Based on Control Performance Standards. Energies. 2019; 12(21):4073. https://doi.org/10.3390/en12214073

Chicago/Turabian Style

Peng, Daogang; Xu, Yue; Zhao, Huirong. 2019. "Research on Intelligent Predictive AGC of a Thermal Power Unit Based on Control Performance Standards" Energies 12, no. 21: 4073. https://doi.org/10.3390/en12214073

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