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2016 IEEE PES Asia Pacific Power and Energy Engineering Conference, APPEEC 2016

作者： Haiyan, Tang Wei, He Chi, Yongning Tian, Xinshou Yan, Li Yukun, Wang State Key Laboratory of Operation and Control of Renewable Energy and Storage Systems China Electric Power Research Institute Beijing100192 China State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan430074 China

ISBN: (纸本)9781509054183

Along with the increasing of wind power penetration, the sub-synchronous oscillation phenomena may happen in wind power integrated system. This paper studies the sub-synchronous oscillation phenomena of doubly-fed induction generator (DFIG) based wind farm with series compensation, focuses on the dynamic characteristics of grid side converter control of DFIG and its optimal control. First, this paper analyzes the transfer characteristic of rotor-side and stator-side active power of DFIG, then combining with the analysis of DC capacitor voltage dynamic characteristics, the impacts of control strategy of grid side converter and its parameters on sub-synchronous oscillation behavior are studied. On this basis, a novel additional control strategy to suppress oscillation is proposed in grid side converter. The conclusions are verified by simulation cases of system integrated with DFIG based wind farm by series compensation. © 2016 IEEE.

关键词： Wind farm

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Distributed Consensus Tracking control for Multiple Simple-Pendulum Network systems 35

Distributed Consensus Tracking Control for Multiple Simple-P...

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第35届中国控制会议

作者： JIANG Yulian WANG Shenquan LI Yuanchun LIU Derong College of Electrical and Electronic Engineering Changchun University of Technology The State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences School of Automation and Electrical Engineering University of Science and Technology Beijing

ISBN: (纸本)9781509009107

This paper investigates the consensus tracking problem for networked control systems consisting of multiple simplependulums driven by corresponding DC motors.A distributed adaptive consensus control algorithm is developed to guarantee the state tracking for each simple-pendulum with nonlinear *** dynamic model of networked simple-pendulums driven by DC motors is obtained first,and the mathematical description of consensus tracking control problem for multi-agent system is ***,fully distributed consensus tracking protocol without any global information is designed by using adaptive control technology to adjust the coupling weights between neighboring ***,simulation results demonstrate the effectiveness of the proposed consensus tracking control algorithm.

关键词： consensus tracking simple-pendulum network system adaptive control nonlinear dynamics multi-agent system

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Reliability evaluation of PV power systems with consideration of time-varying factors

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The Journal of Engineering 2017年第13期2017卷 1783-1787页

作者： Hongtao Li Jie Ding Jingsheng Huang Yinghua Dong Xiaoyan Li China Electric Power Search Institute Nanjing 210003 People's Republic of China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing 100192 People's Republic of China Hefei University of Technology Hefei 230009 People's Republic of China

With the large-scale grid-connected operation of solar photovoltaic (PV) power systems in recent years, the accurate assessment of its reliability level has received increasing focus. This study obtained a probability model for system power output by analysing the structural characteristics of the PV power system and by examining its component failure mode and the effect of the component failure mode on the output power. The algorithmic model for the reliability evaluation of the PV power system was established based on the sequential Monte Carlo method, the weather conditions, component ageing, and light intensity. Finally, the six states model and their reliability indices of the PV power system were studied considering the resource constraint and the structural characteristics of the PV power system. The results showed that the model can fully reflect the actual operation reliability of a PV power system.

关键词： solar power stations photovoltaic power systems power generation reliability Monte Carlo methods probability power grids resource constraint reliability indices light intensity component ageing weather conditions sequential Monte Carlo method component failure mode structural characteristics system power output reliability level probability model solar photovoltaic power systems large-scale grid-connected operation time-varying factors solar PV power systems reliability evaluation

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Modeling Study of a Summertime Rainstorm Process Over North China Plain with a Meso-scale Meteorological Model

Modeling Study of a Summertime Rainstorm Process Over North ...

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2017 International Conference on Mathematics, Modelling and Simulation Technologies and Applications（MMSTA 2017)

作者： Run-fang WANG Zong-peng SONG Tian-liang ZHAO Shuang-long JIN Ju HU Han DING Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological AdministrationNanjing University of Information Science and Technology Renewable Energy Research Center China Electric Power Research Institute(CEPRI) State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems

Using meso-scale meteorological model FDDA,this study presented a high-definition modeling of a rainstorm process during July 19-21,2016 in the North China *** meso-scale meteorological model captured the precipitation distribution of the observed rainstorm over North China Plain,showing that the FDDA model has strong ability to simulate and forecast *** modeling study also revealed the mechanism of rainfall formation with 3-dimensional structures of atmospheric *** subtropical high pressure peripheral warm and wet air flow and the coexistence of cold shear affect the development of convection in the rainfall *** to the vapor transport of low-level jet stream,the rainfall area has sufficient water vapor supply.A convergence of the south-easterly and northerly airstreams triggered a strong convection for the summer rainstorm in North China *** study provided us the valuable information for further development of a high-definition modeling of rainstorm process.

关键词： Rainstorm Modeling North China Plain Synoptic Pattern

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Distributed Gaussian Mixture Model for Monitoring Multimode Plant-wide Process

Distributed Gaussian Mixture Model for Monitoring Multimode ...

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第28届中国控制与决策会议

作者： Jinlin Zhu Zhiqiang Ge Zhihuan Song State Key Laboratory of Industrial Control Technology Institute of Industrial Process ControlCollege of Control Science and EngineeringZhejiang University

ISBN: (纸本)9781467397155

For large-scale plant-wide processes with multiple operating conditions,a distributed Gaussian mixture modeling and monitoring mechanism is *** overcome the deficient prior modeling knowledge for complex process,a two-dimensional probabilistic topic model based technique named Bayesian co-clustering method is developed to simultaneously conduct the sub-block division and operating mode *** the obtained sub-blocks and operating modes,a global Gaussian mixture model is first built and then several local Gaussian mixture models are extracted and applied for distributed monitoring of plant-wide *** conducting distributed modeling and monitoring,both global and local process changes can be reflected and the fault region can be localized more easily for further *** feasibility and effectiveness of the proposed method is confirmed through the Tennessee Eastman benchmark process.

关键词： Plant-wide process monitoring Distributed data modeling Gaussian mixture model Bayesian co-clustering Variational Bayesian inference

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Moving Window Adaptive Quality Prediction for state Shifting ProcessB ased on Weighted Supervised Latent Factor Analysis

Moving Window Adaptive Quality Prediction for State Shifting...

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第27届中国过程控制会议（CPCC2016）

作者： Le Yao Zhiqiang Ge State Key Laboratory of Industrial Control Technology Institute of Industrial Process ControlCollege of Control Science and EngineeringZhejiang University

Process nonlinearity and state shifting are two of the main factors that cause poor performance of online *** soft sensor is the common practice to ensure high predictive *** this paper,the movingwindow method is introduced to the supervised latent factor analysis model to capture the state shifting feature of *** make the moving window strategy

关键词： Moving Window Adaptive Quality Prediction for state Shifting ProcessB ased on Weighted Supervised Latent Factor Analysis

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Optimal Innovation-Based Deception Attack on Remote state Estimation

Optimal Innovation-Based Deception Attack on Remote State Es...

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American control Conference

作者： Shuang Wu Ziyang Guo Dawei Shi Karl Henrik Johansson Ling Shi Electronic and Computer Engineering Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong State Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology 100081 China ACCESS Linnaeus Centre School of Electrical Engineering KTH Royal Institute of Technology Stockholm Sweden

ISBN: (纸本)9781509045839

The security issue in cyber-physical systems has attracted growing interests in the last decades. This paper considers how false data injection attack can degrade the estimation quality of a remote state estimation system. In this system, smart sensors measure a dynamic process and send preprocessed data through a communication network to a remote estimator to estimate the process. It is assumed that there are malicious attackers in the communication network, who are able to obtain and falsify all the data sent by the sensors. It is common that the remote estimator is equipped with a residue-based detector to detect potential attacks. We propose a class of deception attack and analyze its feasibility. We show that the proposed attack enables the attacker to inject false data into the remote estimator without being detected. We derive a criterion to judge the optimality of performance of this type of attack in the sense of maximizing the estimation error covariance. Furthermore, we find that a simple linear attack strategy, which flips the sign of intercepted signal, satisfies the optimality criterion. We present numerical examples to illustrate our theoretical results.

关键词： cyber-physical systems (CPS) deception attack remote state estimation

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The Box-Jenkins Steiglitz-McBride algorithm

The Box-Jenkins Steiglitz-McBride algorithm

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作者： Zhu, Yucai Hjalmarsson, Håkan State Key Laboratory of Industrial Control Technology Department of Control Science and Engineering Zhejiang University Zheda Road 38 Hangzhou310027 China ACCESS Linnaeus Center Electrical Engineering KTH - Royal Institute of Technology StockholmS-100 44 Sweden

An algorithm for identification of single-input single-output Box-Jenkins models is presented. It consists of four steps: firstly a high order ARX model is estimated;secondly, the input-output data is filtered with the inverse of the estimated disturbance model;thirdly, the filtered data is used in the Steiglitz-McBride method to recover the system dynamics;in the final step, the noise model is recovered by estimating an ARMA model from the residuals of the third step. The relationship to other identification methods, in particular the refined instrumental-variable method, are elaborated upon. A Monte Carlo simulation study with an oscillatory system is presented and these results are complemented with an industrial case study. The algorithm can easily be generalized to multi-input single-output models with common denominator. © 2015 Elsevier Ltd. All rights reserved.

关键词： Monte Carlo methods

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Color centers induced by proton exposure in aluminum oxide hollow particles

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AIP Conference Proceedings 2018年第1期2051卷

作者： V. I. Iurina V. V. Neshchimenko M. M. Mikhailov Chundong Li 1Space Materials Laboratory Amur State University Blagoveshchensk 675027 Russia 2Radiation and Space Materials Laboratory Tomsk State University of Control Systems and Radio-Electronics Tomsk 634050 Russia 3Key Laboratory of Science and Technology on Material Performance Evaluating in Space Environment Harbin Institute of Technology Harbin 150001 PR China

The effects of proton (E = 100 keV, F = 54×1015 cm–2) exposure on the reflective spectra of Al2O3 hollow particles in wavelength range from 250 to 2500 nm have been investigated. Hollow particles were obtained by deposition nanoparticles on polystyrene balls in chitosan solution with subsequent heat treatment. X-ray photoelectron spectra of the material were analyzed for the O1s peak before and after irradiation. It has been established that radiation stability of the hollow particles is higher than that of Al2O3 microparticles. This effect is caused by the low concentration of color centers in the hollow particle due to lack of material in the bulk of particles.

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Weighted H-index for identifying influential spreaders

arXiv

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arXiv 2017年

作者： Yu, Senbin Gao, Liang Wang, Yi-Fan Gao, Ge Zhou, Congcong Gao, Zi-You Institute of Transportation Systems Science and Engineering Moe Key Laboratory of Urban Transportation System Theory and Technology State Key Laboratory of Rail Traffic Control and Safety Center of Cooperative Innovation for Beijing Metropolitan Transportation Beijing Jiaotong University Beijing100044 Yinchuan Municipal Bureau of Big Data Management and Service Yinchuan750011

Spreading is a ubiquitous process in the social, biological and technological systems. Therefore, identifying influential spreaders, which is important to prevent epidemic spreading and to establish effective vaccination strategies, is full of theoretical and practical significance. In this paper, a weighted h-index centrality based on virtual nodes extension is proposed to quantify the spreading influence of nodes in complex networks. Simulation results on real-world networks reveal that the proposed method provides more accurate and more consistent ranking than the five classical methods. Moreover, we observe that the monotonicity and the computational complexity of our measure can also yield excellent performance. Copyright © 2017, The Authors. All rights reserved.

关键词： Complex networks

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