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Primary Frequency Control Ability Evaluation of Valve Opening in thermal power units Based on Artificial Neural Network

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Journal of thermal Science 2020年第3期29卷 576-586页

作者： LIAO Jinlong LUO Zhihao YIN Feng CHEN Bo SHENG Deren LI Wei YU Zitao Institute of thermal Science and power Systems Zhejiang UniversityHangzhou 310027China Electric power Research Institute of State Grid Zhejiang Electric power Co.Ltd Hangzhou 310027China

With the development of new energy,the primary frequency control(PFC)is becoming more and more important and *** improve the reliability of the PFC,an evaluation method of primary frequency control ability(PFCA)was ***,based on the coupling model of the coordinated control system(CCS)and digital electro-hydraulic control system(DEH),principle and control mode of the PFC were introduced in *** simulation results showed that the PFC of the CCS and DEH was the most effective control ***,the analysis of the CCS model and variable condition revealed the internal relationship among main steam pressure,valve opening and *** term of this,the radial basis function(RBF)neural network was established to estimate the *** the simulation curves fit well with the actual curves,the accuracy of the coupling model was *** this basis,simulation data was produced by coupling model to verify the proposed evaluation *** low predication error of main steam pressure,power and the PFCA indicated that the method was *** addition,the actual data obtained from historical operation data were used to estimate the PFCA accurately,which was the strongest evidence for this method.

关键词： primary frequency control valve opening main steam pressure thermal power unit artificial neural network evaluation

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Improving the Ramp Rate of thermal power units Based on Deep Utilization of Coal Powder in Milling Systems

Improving the Ramp Rate of Thermal Power Units Based on Deep...

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第32届中国控制与决策会议

作者： GAO Yao-kui ZHANG Li-xia SHI Yu-wei HU Yong ZENG De-liang LI Geng-da LIU Miao State Key Laboratory of Alternate Electrical power System with Renewable Energy Sources North China Electric Power University School of Control and Computer Engineering North China Electric power University Guodian New Energy Technology Research Institute Co. Ltd

ISBN: (数字)9781728158556

ISBN: (纸本)9781728158563

Improving the ramp rate of thermal power units is an important way to solve the problem of large-scale consumption of new energy in *** deep utilization of the coal powder in the milling system is one of the methods to accelerate the response rate of the boiler,thereby improving the ramp rate of thermal power *** on the analysis of the working principle and characteristics of a milling system,this paper considers the effect of primary air flow on the dynamics of the milling system,improves the simplest model of the milling system,and introduces the improved model into a drum boiler unit *** on the model,a new control strategy is designed based on the deep utilization of the coal powder in the milling *** strategy is based on the predictive control algorithm and combines the traditional feedforward and decoupling control *** importantly,the dynamic compensation of the primary air flow is used to achieve the deep utilization of the coal powder in the milling system,thus rapidly changing the amount of coal powder entering the *** results show that the strategy can better ensure the rapidity and stability of the thermal power unit when the load is changed.

关键词： thermal power unit Milling System Ramp Rate Predictive Control

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