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IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

作者： Pu Zhao Qing Chen Luhua Xing Key Laboratory of Power System Intelligent Dispatch and Control(Shandong University) Ministry of Education Jinan China Shandong University Jinan Shandong CN State Grid Shandong Electric Power Research Institute Jinan China

ISBN: (纸本)9781467381338

Voltage Source Converter (VSC) based HVDC (VSC- HVDC) transmission technology as a kind of new dc transmission, is attracting more and more research. VSCs are susceptible to cable short-circuit fault and ground fault. This paper focuses on the transient characteristics of electrical quantities in a two terminal VSC-HVDC system after the occurrence of short-circuit fault and ground fault. Equivalent circuits and equations are given to calculate the voltage and over-current in cable. Simulations are undertaken in PSCAD to verify the calculation results, and different fault points and fault resistances are considered. Due to the behaviors of DC voltage and cable over-current in faulty cable and non-faulty cable after the ground fault, a DC cable protection principle was proposed to determine the faulty cable and to decide fault within or outside the protected area.

关键词： Circuit faults Power conversion Power cables Capacitors Equivalent circuits Transient analysis

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A new motion control method for omnidirectional intelligent wheelchair based on improved Fuzzy Support Vector Machine

A new motion control method for omnidirectional intelligent ...

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IEEE International Conference on Mechatronics and Automation

作者： Wentao Guo Songmin Jia Tao Xu Xiuzhi Li College of Electronic and Control Engineering Beijing University of Technology Beijing China Ministry of Education Engineering Research Center of Digital Community Beijing China Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing China

ISBN: (纸本)9781479970995

This paper proposed the FSVM (Fuzzy Support Vector Machine) based on affinity to achieve the intelligent wheelchair motion control. The gravity center, which can be computed by calculating the weights of four force sensors under the wheelchair seat, is the key factor to determine the intention of movement of the user. The improved fuzzy membership function of FSVM can reduce the effect of clustering gravity center caused by abnormal clustering gravity center data generated from malfunction. Comparing with the traditional SVM (Support Vector Machine), the improved FSVM algorithm has lower error rate. This paper further validates the practical feasibility and validity of the proposed control algorithm. The experiment results show that the proposed algorithm can improve the precision of omnidirectional intelligent wheelchair motion control.

关键词： Wheelchairs Gravity Support vector machines Clustering algorithms Training Force sensors Noise

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Optimization Scheme for the SSC Discrimination Logic of Xinsong-Dongfang HVDC under Small Islanded Operation Mode

Optimization Scheme for the SSC Discrimination Logic of Xins...

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IEEE International Conference on Power and Energy systems (ICPES)

作者： Yukun Zhu Chengxiang Li Yihua Zhu Dongxu Chang Shengnan Li Yong Chen State Key Laboratory of HVDC China Southern Power Grid Electric Power Research Institute Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System CSG Key Laboratory for Power System Simulation China Southern Power Grid Electric Power Research Institute Guangzhou China Electric Power Research Institute Yunan Power Grid Co Ltd Kunming China

ISBN: (纸本)9781665413268

The sending end of HVDC in islanded operation mode is a weak AC system, the security and stability control (SSC) system is very important for the operation of the islanded system. In this paper, the SSC strategy of Xinsong-Dongfang HVDC under islanded mode is deeply analyzed, and the defects and risks of the SSC discrimination logic for the small islanded operation mode is exposed during the RTDS simulation tests, as a result, some of the generators cannot be cut off. In addition, Then the research of the action sequence of SSC reveals the improper time coordination between the small islanded mode signal and the cut-off command. Based on the above work, an optimized scheme to discriminate the small islanded operation mode is proposed, and the correctness and effectiveness are verified through the same RTDS tests. This new method has great significance in the SSC design and implementation in HVDC transmission project with similar techniques.

关键词： HVDC transmission Standardization Power system stability control systems Stability analysis Generators Power grids

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Research on Mural Restoration Method Based on Generative Multi-column Transformer

Research on Mural Restoration Method Based on Generative Mul...

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IEEE Advanced Information Management,Communicates,Electronic and Automation control Conference (IMCEC)

作者： Hui Ren Fanhua Zhao Zhen Li Ke Sun Shilin Gao State Key Laboratory of Media Convergence and Communication Communication University of China Key Laboratory of Acoustic Visual Technology and Intelligent Control System (Communication University of China) Ministry of Culture and Tourism Beijing Key Laboratory of Modern Entertainment Technology (Communication University of China) Center for Ethnic and Folk Literature and Art Development Ministry of Culture and Tourism Beijing China

ISBN: (纸本)9781665479691

Ancient mural are splendid artistic treasures of ancient civilizations, but their blurring and destruction are becoming more and more serious due to the effects of time and environment. In this paper, a Generative Multi-column Transformer method is proposed to recover the missing areas of mural. The method synthesizes different image components in a parallel manner by transformer and enhances local details by employing implicit diversified Markov random fields regularization. Generative Multi-column Transformer is used in combination with reconstruction and Markov random field loss methods to propagate local and global information from the background to the target defaced region to reconstruct the loss in that part. The experimental results show that the method based on Generative Multi-column Transformer adopted in this paper is able to restore mural images with complex textures and missing areas very well, while the peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM) of the method are improved, this paper provides theoretical guidance for the digital restoration of murals.

关键词： Measurement Visualization PSNR Transformers Propagation losses Feature extraction Image restoration

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Interval Reliability Assessment of Power system under Epistemic Uncertainty Based on Belief UGF Method

Interval Reliability Assessment of Power System under Episte...

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2017 2nd Asia Conference on Power and Electrical Engineering (ACPEE2017)

作者： Bolun WANG Yong WANG Ying DING Ming LI Cong ZHANG Key Laboratory of Power System Intelligent Dispatch and Control Shandong University State Grid of China Technology College State Grid Shan Dong Electric Power Research Institute Shandong Zibo Power Supply Company

At present, reliability assessment plays an important role in power systems. When the component failure probabilities are interval valued, common methods fail to achieve reasonable interval reliability assessment result of power systems. In this paper a novel approach based on the belief universal generating function(BUGF) is proposed to calculate the reliability indexes of power systems. Instead of giving a single-valued assessment result, a belief function and a plausibility function are exploited to calculate the lower and upper bounds of the loss of load probability(LOLP), the loss of load expectation(LOLE), the expected unsupplied load(EUL) and the expected unsupplied energy(EUE) in UGF, respectively. The proposed approach can track the correlation of the original data well and keep it to the end of the calculation. By using BUGF compared to other common methods to calculate the interval LOLP, LOLE, EUL, and EUE of IEEE-RTS 79, the results show the BUGF method can track the correlation of the original data well, and can get narrower and more accurate interval reliability indexes of the power generation system, which illustrates the effectiveness of the proposed approach.

关键词： Interval Reliability Assessment of Power system under Epistemic Uncertainty Based on Belief UGF Method

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Human behavior model and its application on performance management in a chemical plant workshop

Human behavior model and its application on performance mana...

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2012 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2012

作者： Han, Feng Liu, Xiwei Shang, Xiuqin Cheng, Changjian Li, Bo Fan, Dong Olefine Plant SINOPEC Qilu Petrochemical Co. Ltd. Zibo China School of Chemical Engineering Beijing University of Chemical Technology Beijing China State Key Laboratory of Management and Control for Complex Systems Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Beijing China Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Songshan Lake Dongguan China

ISBN: (纸本)9781467324007

To investigate the influences of performance management rules on human behavior in a chemical plant workshop, we construct an artificial workshop. It mainly contains human behavior model, workshop environment model including the definition of work position performance management rules and production events, and their interaction rules. The human behavior model is built based on DISC (Dominance, Influence, Steadiness, Compliance) behavior model and the Agent technology. A platform for workshop human behavior computing is finally created for computational experiments on performance management and decision-making. The platform can be used as a support for refined management in the chemical plant. © 2012 IEEE.

关键词： Chemical plants

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Charged Lovelock black holes in the presence of dark fluid with a nonlinear equation of state

arXiv

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arXiv 2019年

作者： Li, Xiang-Qian Chen, Bo Xing, Li-Li College of Physics and Optoelectronic Engineering Taiyuan University of Technology Taiyuan030024 China Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi Province Taiyuan University of Technology Taiyuan030024 China

We consider a model that charged static spherically-symmetric black hole is surrounded by dark fluid with nonlinear equation of state pd = -B/ρd. We find that the energy density of the dark fluid can be characterized by two parameters. The derivation of metric solution, as well as the calculation of black hole thermodynamical quantities as functions of horizon radius, are performed. Specially, in D-dimensional Einstein gravity and Gauss-Bonnet gravity cases, we plot the metric functions and corresponding thermodynamical quantities, such as mass, Hawking temperature and heat capacity, by varying the values of spacetime dimensions and dark fluid parameters. The effects of the dark fluid parameters on black hole solutions as well as on thermodynamical stability of black holes are discussed. Copyright © 2019, The Authors. All rights reserved.

关键词： Gravitation

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Reliability assessments of Chinese high speed railway network

Reliability assessments of Chinese high speed railway networ...

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IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI

作者： Jianhua Zhang Liu Hong Shuliang Wang Xiaoming Xu Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan China Department of Control Science and Engineering Key Laboratory for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan China Shanghai Academy of System Science University of Shanghai for Science and Technology Shanghai China

With the economic developments, high speed railway has been paid many attentions in China and medium- short term planning of Chinese high speed railway network has been formed and most of the railways have been started into operations. In this paper, graph theory and complex network theory are adopted to assess the reliability of Chinese high speed railway network. The topological characteristics and real distances between pairs of stations are discussed to investigate the reliability of Chinese high-speed rail network. Several parameters are presented to investigate the topological characteristics and the reliability and robustness of the network subject to failures. The parameter called unit degree betweenness is proposed to assess the transport capacity of lines connecting with the nodes. The largest degree node-based attacks and the highest betweenness node-based attacks are involved into Chinese high speed railway network to assess the topological reliability and robustness. The results show that the highest betweenness node-based attacks are more effective to destroy the network than the largest degree node-based attacks. Moreover, the cumulative degree distribution and the real mileages of railways between pairs of stations can be fitted by Gauss functions, and the distribution of real shortest distances over all pairs of stations of the network is fitted by a normal distribution function. By the simulations, the critical stations, Guangzhou Station, Zhengzhou Station and Jinan Station for the largest degree node-based attacks, and Wuhan Station, Xuzhou Station and Shijiazhuang Station for the highest betweenness node-based attacks, can be obtained in this paper.

关键词： Artificial neural networks Robustness Rail transportation

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Multi-Segment Droop control and Optimal Parameter Setting Strategy of Wind Turbine for Frequency Regulation

SSRN

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SSRN 2023年

作者： Gao, Haishu Zhang, Feng Ding, Lei Cornélusse, Bertrand State Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan250061 China Departments of Computer Science Electrical Engineering and Geography University of Liège Liège Belgium

Traditionally virtual inertia is the control strategy of wind turbines when participating in frequency regulation. However, it has inherent defects in measurement error amplification, due to the frequency differential, and it may incur large response power deviation or even inverse response. Also, when control delay of wind turbines is taken into consideration, virtual inertia is essentially a kind of fast power response, just the same as droop control of wind turbines. Hence, considering the reliability of droop control, it’s valuable to explorer a novel droop control method without virtual inertia, as the frequency response model of wind turbines. For this reason, a multi-segment droop control strategy was proposed to provide a reliable frequency regulation model for wind turbines, which can be broadly applied in other inverter-based power sources. Firstly, based on the extended system frequency response (SFR) model, a differential equation including piecewise time-varying coefficient was established to analyze the frequency response of the presented strategy. To deal with impulse function emerged during the deduction, the impulse function balancing principle and the integration by parts algorithm were adopted. Then the analytical expression of the frequency response with multi-segment droop control strategy can be obtained. Subsequently, based on analytical expression, the performance of multi-segment droop control strategy was theoretically analyzed via comparison with traditional virtual inertia control, and meanwhile the conclusion that the presented multi-segment droop control has better frequency regulation performance can be got. Furthermore, to achieve optimal frequency regulation performance, a Lagrangian function was established to get the optimal parameters of the proposed control strategy, according to the relationship between the frequency nadir and frequency regulation parameters. During its solution, the exponential homotopy algorithm was adopted. F

关键词： Wind turbines

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Evaluation method of module granularity partition for intelligent service robot based on D-S evidence theory

Evaluation method of module granularity partition for intell...

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International Conference on Information and Automation (ICIA)

作者： Songmin Jia Guoliang Zhang Boyang Li Mingchao Ding College of Electronic and Control Engineering Beijing University of Technology Beijing China Ministry of Education Engineering Research Center of Digital Community Beijing China Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing China

ISBN: (纸本)9781509041039

The granularity partition for functional modules is a fundamental research topic in robot distributed control technology. How to evaluate the module partition scheme with different granularity, and then obtain the optimum scheme is the urgent problem. In this paper, we proposed a novel evaluation strategy for the granularity partition of functional modules in robotic system using RTM as control platform based on D-S evidence theory. The fuzzy clustering algorithm is primarily used to get the collection of granularity partition schemes for RT Components encapsulated by the platform of OpenRTM. As the two source of evidence, the indices of cohesion and coupling for the robotic system are achieved to measure the degree of module independence by analyzing the correlation matrix of RT Components. Then the Dempster's combination rule and the priority method for utility intervals are applied to obtain the optimal partition granularity. In the end, the effectiveness and progressiveness of the novel evaluation strategy are verified by applying it to the robotic 3D mapping system.

关键词： Robots Correlation Couplings Partitioning algorithms Clustering algorithms Decentralized control Middleware

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