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第36届中国控制会议

作者： YANG Tingting DI Xiaohui HONG Feng Beijing Key Laboratory of New Technology and System on Measuring and Control for Industrial Process(North China Electric Power University)

ISBN: (纸本)9781538629185

The combustion system of Circulating Fluidized Bed(CFB) boiler is a strong-coupled non-linear system with large *** temperature is one of the most important parameters,which influences the safety of unit and couples with the main steam pressure *** control method is beneficial to suppress the temperature *** this paper,a fuzzy PI controller based on Genetic Algorithm(GA) is designed for the model of bed temperature,of which the parameters are optimal in the region to ensure the control *** the basis of mechanism analysis and gray correlation analysis,a multivariable model is *** coal feed and the primary air are selected as inputs,the bed temperature and main steam pressure are selected as *** the model is decoupled by partial feed-forward method,and the GA is used to optimize the parameters of the fuzzy PI *** are carried out in different conditions and the results indicate that the performance of optimized fuzzy PI controller based on proposed model is better than fuzzy PI controller.

关键词： CFB bed temperature partial feed-forward decoupling fuzzy PI controller genetic algorithm

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Research of Optimal Load Dispatch in Power Plant Prevents Frequent Coal Mills Operation based on Speediness 2

Research of Optimal Load Dispatch in Power Plant Prevents Fr...

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2017 IEEE 2nd Information technology, Networking, Electronic and Automation control Conference (ITNEC 2017)

作者： Li Qing Gao Yao-kui Xv Hao Control and Computer Engineering Beijing Key Laboratory of New Technology and System on Measuring and Control for Industrial Process North China Electric Power University

ISBN: (纸本)9781509064151;9781509064144

In order to satisfy the rapid load adjustment requirements of coal-fired units in the situation of alternate electrical power system, the optimal load dispatch in power plant prevents frequent coal mills operation based on speediness is studied in this paper. Firstly, the mathematical formulation of PPLD with POZs based on speediness is presented, and then strategy of POZs constraints and improved GA-TS algorithm to find the optimal solution are introduced. Finally, through simulation the effectiveness of the mathematical formulation of PPLD with POZs based on speediness is tested. The simulation result show: when the load is distributed with the economy and speediness as target separately, the distribution results are significantly different, and the load adjustment time with the aim of speediness is obviously shorter than that of economy. It shows that the optimal load dispatch in power plants based on speediness is an effective control strategy for the rapid load adjustment of units, which can contribute to the further improvement of the operating flexibility of coal-fired units in the new energy power system situation.

关键词： optimal load dispatch in power plant prohibited operating zones improved GA-TS algorithm speediness economy

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Day-ahead Electricity Price Forecasting Based on Rolling Time Series and Least Square-Support Vector Machine Model

Day-ahead Electricity Price Forecasting Based on Rolling Tim...

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2011 China control and Decision Conference(2011中国控制与决策会议 CCDC)

作者： Guolian Hou Jianhua Zhang Rui Wang Jian Han Beijing Key Laboratory of Industrial Process Measurement & Control New Technology and System North Beijing Key Laboratory of Industrial Process Measurement & Control New Technology and System North

Considering the electricity price’s volatility and various elements which affect the price in the electricity market, the paper presents hybrid model for the day-ahead electricity market clearing price forecasting. The paper adopts autoregressive moving average (ARMAX) model to reveal the linear relationship between power load and electricity price;the generalized autoregressive conditional heteroskedasticity (GARCH) model to reveal the heteroskedasticity properties of residual. Simultaneously the paper presents the inexactness and irrationality that modeling by the historical data long ago to forecast the price with the change of the time, then presents the rolling forecast that constantly using the latest data to modeling the ARMAX-AR-GARCH model. To reveal the nonlinear relationship between power load and electricity price, the paper adopts least squares support vector machine (LS-SVM). Using the proposed method, the day-ahead electricity prices of California electricity market are forecasted, prediction results show the efficiency of the proposed method.

关键词： day-ahead price forecast ARMAX GARCH rolling forecast LS-SVM

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Study on the interlayer and interphase multiple coordination deformation mechanism of Fe-20.4Cr-4.7Mn-0.27N duplex stainless steel with gradient heterostructure

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Applied Surface Science 2025年 701卷

作者： Li, Lingxiao Yang, Tingsong Liu, Zhilei Feng, Yanfeng Zhang, Xinjun Jin, Miao Chen, Lei Yang, Kun Hao, Shuo School of Quality and Technical Supervision Hebei University Baoding071002 China School of Mechanical and Power Engineering Zhengzhou University Zhengzhou450001 China School of Mechanical Engineering Yanshan University Qinhuangdao066004 China Hebei Technology Innovation Center for Lightweight of New Energy Vehicle Power System Hebei University Baoding071002 China Industrial Science &Technology Institute for Anti-fatigue Manufacturing Zhengzhou450016 China National Engineering Research Center of Flat Rolling Equipment University of Science and Technology Beijing Beijing100083 China Guangdong Provincial Key Laboratory of Micro/Nano Optomechatronics Engineering College of Mechatronics and Control Engineering Shenzhen University Shenzhen518060 China

In this work, ultrasonic rolling treatment was conducted on the surface (USRT) of the Fe-20.4Cr-4.7Mn-0.27N duplex stainless steel plate for 6 passes, its influences on the tensile deformation and damage behaviors were clarified by means of XRD, EBSD, TEM, SEM, etc. The results show that the USRT introduced gradient heterostructure layers with a total volume ratio of about 27 % in the Fe-20.4Cr-4.7Mn-0.27N steel, the α’bcc-martensite proportion increases from 0 % in the base-material core to 5 % on the USRT surface. This leaded to an improvement in yield strength of 125 MPa, an increase in ultimate tensile strength of 17 MPa and a decrease in total elongation of 20 %. Besides, a further increase in α’bcc-martensite proportion of 35 %–38 % was shown in austenite throughout the USRT specimen after tensile fracture. While in ferrite, the dislocation activity in the USRT layer was obviously weaker than that in the base-material core during tensile deformation. The complex coordination deformation behavior is closely associated with the plasticity partitioning difference between the heterogeneous phases and between the heterogeneous layers. This finally leaded to different damage characteristics on the USRT surface from that in the as-annealed specimen. © 2025 Elsevier B.V.

关键词： Tensile strength

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A compensation method for the packet loss deviation in system identification with event-triggered binary-valued observations

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Science China(Information Sciences) 2020年第12期63卷 266-268页

作者： Jing-Dong DIAO Jin GUO Changyin SUN School of Automation and Electrical Engineering University of Science and Technology Beijing Key Laboratory of Knowledge Automation for Industrial Processes Ministry of Education School of Automation Southeast University Key Laboratory of Measurement and Control of Complex System of Engineering Ministry of Education

Dear editor,With the rapid development of network and communication technology, group systems interrelated in terms of both time and space are commonly encountered, such as sensor networks, multi-agent systems, and sm... 详细信息

关键词： system identification event-triggered binary-valued observations packet loss convergence

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Real-time pollution monitoring model of convection heating surfaces based on coal online soft sensing

Real-time pollution monitoring model of convection heating s...

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2012 3rd International Conference on Manufacturing Science and technology, ICMST 2012

作者： Zeng, Deliang Guan, Zhaoliang Peng, Can Zhang, Man Beijing Key Laboratory of New Technology and System on Measuring and Control for Industrial Process North China Electric Power University Beijing 102206 China

ISBN: (纸本)9783037855638

This paper presents a real-time pollution monitoring model of convection heating surfaces based on coal online soft sensing, This model reality the optimization calculation of clean factor and get the information of coal moisture, ash content and ultimate only according to the existing measuring points and data in the Distributed control system (DCS) of thermal power plants, no need to use additional equipment. Used this technique in 1000MW power units and the result shows that, the computational accuracy of clean factor has greatly improved, which will correct the boiler blowing operation. © (2013) Trans Tech Publications, Switzerland.

关键词： Distributed parameter control systems

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Determination of the optimal initial steam pressure for the power plant under different loads

Determination of the optimal initial steam pressure for the ...

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2012 3rd International Conference on Manufacturing Science and technology, ICMST 2012

作者： Zeng, Deliang Peng, Can Guan, Zhaoliang Shen, Rui Beijing Key Laboratory of New Technology System on Measuring and Control for Industrial Process North China Electric Power University Beijing 102206 China

ISBN: (纸本)9783037855638

Combined with the thermal system analysis, the mathematical model for selecting the optimal initial pressure of the power unit is established based on the comprehensive consideration of the effect of main steam pressure on governing stage efficiency, steam feed pump consumption and flow passage efficiency. Then the steam pressure with the maximum unit efficiency is searched using variable condition calculation. With quantitative calculations of N600-16.7/537/537-I unit of Pan Shan thermal power plant taken as an example, the optimal initial pressure is obtained by exhaustive method around the 75% load point. The results reveal that the unit power, heat absorption and unit efficiency all increase with the increase of the main steam pressure. However, the increasing velocity of efficiency is less than heat absorption when main steam pressure attains to certain value, which makes the unit efficiency begin to decrease. Therefore, this main steam pressure is the optimal initial point to be searched. © (2013) Trans Tech Publications, Switzerland.

关键词： Steam

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Path planning of robotic fish based on genetic algorithm and modified dynamic programming

Path planning of robotic fish based on genetic algorithm and...

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2011 International Conference on Advanced Mechatronic systems, ICAMechS 2011

作者： Yang, Qian Yu, Mei Liu, Shu Chai, Zhong-Ming School of Control and Computer Engineering North China Electric Power University Beijing 102206 China Key Laboratory of Measurement and Control New Technology and System for Industrial Process North China Electric Power University Beijing 102206 China

ISBN: (纸本)9780955529375

In this paper, genetic algorithm and modified dynamic programming are applied to path planning of robotic fish for the first time. Using grid method to the environment modeling and applying genetic algorithm to the path planning, an optimal or sub-optimal robot path can be obtained. Since the robotic fish can't track linear motion, the robot path can be seen as several circular arc. Based on the optimal path obtained via genetic algorithm, modified dynamic programming algorithm is proposed to calculate the shortest circular arc path, fish velocity and direction in every step. Finally the experiment on the robotic fish control software shows the effectiveness of the proposed method. © 2011 Intl Journal of Adv Mechatr.

关键词： Motion planning

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Influence of condensed water temperature on thermal efficiency of coal-fired power plant and energy strategy

Influence of condensed water temperature on thermal efficien...

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3rd International Conference on Energy and Environmental Protection, ICEEP 2014

作者： Zeng, De Liang Diao, Shu Wen Hu, Yong Gao, Shan Li, Qing North China Electric Power University Beijing Key Laboratory of New Technology and System on Measuring and Control for Industrial Process Changping District 102206 Beijing China

ISBN: (纸本)9783038351344

For the problem of the abandoned large-scale wind power currently, in order to improve the utilization of wind power and make full use of wind resources, a method of using wind power to heat the condensed water through electrothermal furnace is proposed. On the basis of mass and energy conservation, through analyzing variable condition of the regenerative heating system and water-cooled condenser, the dynamic mathematical model is created and then the dynamic influence of condensed water temperature on the economy of thermal power plant is studied. This paper, taking a typical 660MW water-cooled unit as an example, discusses the dynamic characteristics of steam turbine and energy-saving effects of this method. Results show that obvious economic effects can be obtained through non-grid-connected wind power heating the low-pressure condensed water, which can reduce the steam extraction flow from steam turbine, improve the thermal efficiency of thermal power plant and save the amount of coal. It has positive significance to digging energy-saving potential of plant. © (2014) Trans Tech Publications, Switzerland.

关键词： Water temperature

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A new Robust Least Squares Support Vector Machine for Regression with Outliers

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Procedia Engineering 2011年 15卷 1355-1360页

作者： Lü You Liu Jizhen Qu Yaxin Key Laboratory of Measurement & Control New Technology and System for Industrial Process North China Electric Power University Beijing 102206 China

The least squares support vector machine (LS-SVM) is sensitive to noises or outliers. To address the drawback, a new robust least squares support vector machine (RLS-SVM) is introduced to solve the regression problem with outliers. A fuzzy membership function, which is determined by heuristic method, is assigned to each training sample as a weight. For each data point, firstly a deleted input neighborhood is found when the high-dimension feature space of input is focused on. Then the new field is reformulated after the output is brought in the neighborhood which we have found. The fuzzy membership function (weight) is set according to the distance from the data point to the center of its neighborhood and the radius of the neighborhood, which implies the probability to be an outlier. Two benchmark simulation experiments and analysis are presented to verify that the performance is improved.

关键词： Outlier Robust Weight Least squares support vector machine Regression

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