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Stochastic distribution control theory applied in superheated steam temperature systems

Stochastic distribution control theory applied in superheate...

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作者： Zhang, Jianhua Zhang, Fenfang Hou, Guolian Zhang, Jinfang Beijing Key Laboratory of Industrial Process Measurement and Control New Technology and System Beijing 102206 China

ISBN: (纸本)9789881725592

A novel control algorithm is applied to control superheated steam temperature in power plants. Since the disturbances existed in practical processes are probably non-Gaussian, the performance index is constructed by minimizing the entropy and mean value of tracking error besides the constraints on control energy. The optimal control solution is given and applied to control superheated steam temperature in a power plant. The simulation results verify its effectiveness. © 2011 Chinese Assoc of Automati.

关键词： Probability density function

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A Flexible Antenna Array Design for Microwave Energy Transmission 17th

A Flexible Antenna Array Design for Microwave Energy Transmi...

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17th Annual Conference of China Electrotechnical Society, CES 2022

作者： Chen, Jinghan Guo, Siwei Nie, Yongjie Liu, Siyang Wang, Ping State Key Laboratory of Power Transmission Equipment and System Security and New Technology Chongqing University Chongqing China Yunnan Key Laboratory of Green Energy Electric Power Measurement Digitalization Control and Protection Yunnan Power Grid Co. Ltd. Kunming China

ISBN: (纸本)9789819904075

Microstrip antenna as a kind of receiver front-end equipment of microwave energy transmission system, which plays an important role on the overall transmission efficiency of the system. Conventional solid metal antennas have poor mechanical properties and are susceptible to plastic deformation and cracks under external forces, which will degrade their performance. Gallium-indium alloy (EGaIn), which is liquid at room temperature, has similar electrical properties to copper and can recover itself after bending, which can make up for the shortcoming of solid-state antennas;Polyethylene naphthalate two formic acid glycol ester (PEN) is an organic polymer material, which has similar electrical properties and superior mechanical properties to conventional materials. Based on the above two materials, this paper proposes a microstrip antenna array based on flexible materials, which can endure a wide range of mechanical deformation and has better ductility and mechanical toughness. The simulation results indicate that the proposed antenna array can operate at 2.45 Hz and achieve 90% efficiency of conventional antennas, which can better meet the demand of microwave energy transmission. © 2023, Beijing Paike Culture Commu. Co., Ltd.

关键词： Microstrip antennas

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Network-based reliable H∞ filter designing for the systems with sensor failures

Network-based reliable H∞ filter designing for the systems ...

引用

作者： Lilong, Du Zhou, Gu Jinliang, Liu Beijing Key Laboratory of Industrial Process Measurement and Control New Technology and System North China Electric Power University Beijing China School of Power Engineering Nanjing Normal University Nanjing Jiangsu China College of Information Science and Technology Donghua University Shanghai China

ISBN: (纸本)9780955529337

This paper is concerned with the reliable filtering problem for network-based linear continuous-time system with sensor failures, The purpose of the addressed filtering problem is to design a filter such that the error dynamics of the filtering process is stable. By using the linear matrix inequality (LMI) method, sufficient conditions are established that ensure the filter parameters are characterized by the solution to a set of LMIs. Simulation results are provided to illustrate effectiveness of the proposed method.

关键词： Continuous time systems

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A Minimized Zero Mean Entropy Approach to Networked control systems

A Minimized Zero Mean Entropy Approach to Networked Control ...

引用

Joint 48th IEEE Conference on Decision and control and 28th Chinese control Conference

作者： Jianhua Zhang Hong Wang Beijing Key Laboratory of Industrial Process Measurement & Control New Technology and System North China Electric Power University Control Systems Centre The University of Manchester

A novel control method is proposed for networked control systems with nonlinear process,probably non-Gaussian process noise and time *** performance index of closed loop control system consists of entropy,mean value and control energy *** stochastic control methods for networked control systems are given under the same general *** method utilizes gradient optimal techniques to obtain an optimal control law,and the stability of closed loop systems is *** other method gives the optimal solution of control law *** implementation issues are *** sliding window techniques and non-parametric probability density function estimation techniques are employed to obtain the entropy of tracking error *** a result,the controller can be on-line ***,the methodology is illustrated by simulations.

关键词： Gaussian A Minimized Zero Mean Entropy Approach to Networked control systems

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A study on the application of BPNN based on Minimum Error Entropy in electricity price forecasting

A study on the application of BPNN based on Minimum Error En...

引用

IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Jianhua Zhang Fang Wang Rui Wang Guolian Hou Beijing Key Laboratory of Industrial Process Measurement & Control New Technology and System North China Electric Power University Beijing China

Market clearing price (MCP) forecasting techniques is very important for the development of the electricity market. A three-layered neural network is used to predict electricity prices. MCP is seen as a multi-input single-output system and the historical electricity price and load data is utilized in an electricity market. The neural network is based on Minimum Entropy Error (MEE) cost function and Batch-Sequential mode. Compared with other models, the proposed approach improves the prediction accuracy and speed.

关键词： Electricity Forecasting Artificial neural networks Entropy Predictive models Accuracy Training

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Forecasting next-day electricity prices with Hidden Markov Models

Forecasting next-day electricity prices with Hidden Markov M...

引用

IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Jianhua Zhang Jingyue Wang Rui Wang Guolian Hou Beijing Key Laboratory of Industrial Process Measurement & Control New Technology and System North China Electric Power University Beijing China

Next-day electricity prices forecasting is essential to consumers and producers. Due to the stochastic characteristics of the electricity price time series, a novel model of electricity price forecasting is presented based on the Hidden Markov Model (HMM). The factors impacting the electricity price forecasting are discussed. The proposed approach is utilized in an electricity market, the results show the effectiveness.

关键词： Hidden Markov models Economic forecasting Stochastic processes Predictive models technology forecasting Energy consumption Power markets Support vector machines Probability distribution Laboratories

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Bidding Strategy Based on Adaptive Particle Swarm Optimization for Electricity Market

Bidding Strategy Based on Adaptive Particle Swarm Optimizati...

引用

The 8th World Congress on Intelligent control and Automation(第八届智能控制与自动化世界大会 WCICA 2010)

作者： Jianhuan Zhang Yingxin Wang Rui Wang Guolian Hou Beijing Key Laboratory of Industrial Process Measurement & Control New Technology and System North China Electric Power University Beijing China

In an open electricity market, generation companies (GENCO) have to optimally bid to gain more profits with incomplete information of other competing generators. In this structure, market participants must develop their bids in order to maximize their profits. Building optimal bidding strategies for GENCO could need to evaluate some market parameters such as forecasting market-clearing price (MCP), non-convex production cost function and forecasting load. A new framework to build bidding strategies for GENCO in an electricity market is presented in this paper. A normal probability distribution function (PDF) is used to describe the bidding behaviors of other competing generators. Bidding strategy of a generator for each trading period in a day-ahead market is solved by a new adaptive particle swarm optimization APSO). APSO can dynamically follow the frequently changing market demand and supply in each trading interval. A numerical example serves to illustrate the essential features of the approach and the results are compared with the solutions by other PSO algorithms.

关键词： Optimization Particle swarm optimization Generators Power generation Electricity supply industry Companies Markov processes

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Study of Sliding-Mode control Based Grid-side PWM Rectifier for Wind Power Generation system under Unbalanced Input Voltage Condition

Study of Sliding-Mode Control Based Grid-side PWM Rectifier ...

引用

IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Jianhua Zhang Xiaojun Li Guolian Hou Xuemin An Beijing Key Laboratory of Industrial Process Measurement & Control New Technology and System North China Electric Power University Beijing China

ISBN: (纸本)9781424427994

A sliding mode control scheme is presented in αβframe for grid-side PWM rectifiers in wind power generation systems. The positive and negative sequence voltages are needed to design the controller, nevertheless, the positive and negative sequence currents are not needed. This scheme is compared with the dual current control scheme in the rotating frame d-q. The simulation results show that sliding mode control scheme can realize unit power factor operation when the amplitude is unbalanced.

关键词： Grid-side PWM rectifier Unbalanced voltage Sliding-mode control

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Generalized predictive control for wind turbine systems

Generalized predictive control for wind turbine systems

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IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Jianhua Zhang Hua Wang Guolian Hou Jinfang Zhang Beijing Key Laboratory of Industrial Process Measurement & Control New Technology and System North China Electric Power University Beijing China

ISBN: (纸本)9781424450459;9781424450466

It is difficult to deal with the variable speed constant frequency (VSCF) wind turbine systems due to the stochastic characteristics and the pneumatic effects of wind. In this paper, a new pitch controller based on generalized predictive control theory is designed to improve the power-output quality of variable speed constant frequency wind turbines. An application to a 300MW wind turbines is given, and simulation results show that the proposed method is effective in wind speed interference suppression and constant out power.

关键词： Predictive control Wind turbines Mathematical model Wind speed Power system modeling Rotors Shafts Wind power generation Frequency Wind energy generation

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Dynamic characteristics and predictive control for Organic Rankine Cycle

Dynamic characteristics and predictive control for Organic R...

引用

IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Jianhua Zhang Ying Li Zhuofei Wang Guolian Hou Beijing Key Laboratory of Industrial Process Measurement & Control New Technology and System North China Electric Power University NCEPU Beijing China

Organic Rankine Cycle (ORC) is particularly suitable for the recovery of energy from low-quality heat sources. In this paper, a generalized predictive controller is proposed for a low-quality heat recovery process operating on an Organic Rankine Cycle. The simulation results show that the proposed control strategy can achieve good transient and steady response along with decoupling performance.

关键词： Mathematical model Fluids Predictive models Heat recovery Equations Predictive control Waste heat

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