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Adaptive Robust control Method of Battery Storage systems for Power Oscillation Suppression of MMC-HVDC Offshore Wind Farms

Adaptive Robust Control Method of Battery Storage Systems fo...

引用

ieee international conference on Power and Energy systems (ICPES)

作者： Miaosong Gu Lei Huang Ming Lv Rong Bian Guoqiang Li Zekai Ma Chaofeng Hong Wenke Jiang Xiao Qi State Grid Zhejiang Electric Power Co Economic Research Institute Hangzhou China Zhejiang HuaYun Electric Power Engineering Design & Consultation Co. Hangzhou China Energy and Electricity Research Center Jinan University Zhuhai China

With the large-scale and long-distance grid connection of offshore wind farms via MMC-HVDC, the operating characteristics of power systems have become more complex. the interaction between wind power generation equipment and the power system has caused new sub-synchronous oscillations, which seriously threaten the safety and stability of the power grid. Taking the offshore wind farms connected to the power grid via MMC-HVDC, this paper analyzes the mechanism of oscillation and proposes an adaptive robust control method of battery storage systems to suppress power oscillations. Finally, the effectiveness and robustness of the proposed control strategy are verified on the PSCAD simulation platform.

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Transient Frequency Coordination Support Method Considering Multiple HVDC Power Modulations and Flexible Load Regulation

Transient Frequency Coordination Support Method Considering ...

引用

ieee international conference on Power and Energy systems (ICPES)

作者： Changyong Chen Peng Liu Yanfeng Gou Yi Hu Jinglin Luo China Energy Construction Group International Engineering Co. Ltd. Beijing China China Gezhouba Group Overseas Investment Co. Ltd. Beijing China National Intellectual Property Administration Patent Examination Cooperation Sichuan Center Chengdu China School of Electrical and Electronic Information Xihua University Chengdu China

In response to the modern power grid with multiple HVDC injections, extractions, and flexible loads, this paper proposes a transient frequency coordination support method based on wide-area measurement technology. the method first linearizes the power increment equations for each node in the power grid, establishing a system state equation based on wide-area measurement data after disturbance. then, using this equation, the paper constructs a frequency dynamic analysis model for the power grid, considering both HVDC power modulation and flexible load regulation. By taking into account the impact of different control schemes on the power flow safety, an optimization model for transient frequency coordination control is constructed. Finally, through solving the optimization model, the paper presents a transient frequency coordination support strategy for emergency situations involving both multiple HVDC power modulations and flexible load regulations. the proposed method is validated using the improved ieee 50-generator system, and the results and control effects are compared and analyzed, demonstrating the correctness and effectiveness of the proposed approach.

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Optimal control of Wave Energy Conversion Supplemented by the Adaptive Compensation

Optimal Control of Wave Energy Conversion Supplemented by th...

引用

ieee international conference on Power and Energy systems (ICPES)

作者： Huijin Lin Weihong Kuang Junhua Yang Jinchuan Guo Xinmei Gu Yu Zhou Xin He LiTao Huang Ni Liu Power Grid Engineering Company China energy engineering group guangdong electric power design institute CO.LTD Guang Zhou China School of Automation Guangdong University of Technology Guang Zhou China South China University of Technology Guang Zhou China Guangdong Environmental Protection Technical School Guang Zhou China

Under conditions of irregular waves, the enhancement of the optimal power capture state can be achieved through the construction of the optimal power capture configuration using the extremum of the energy function. By employing fluid simulation software, a nonlinear hydrodynamic model is developed for the corresponding wave power generation apparatus. this model serves as the foundation for establishing an optimal electromagnetic force, guided by a magnetic field directional control strategy. To surmount the intricacies of the maritime environment, a super-twisting sliding mode observer is introduced, affording sensorless technology and elevating the precision of state variable acquisition. Simulation results unequivocally demonstrate that the envisaged control strategy exhibits prompt response dynamics and formidable adaptability when exposed to uniform wave excitation. Consequently, this strategy can significantly amplify system output power by approximately 40%, concurrently addressing a 10% compensation of power losses.

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Trajectory Optimization of Manipulator for Loading and Unloading the Ladle Nozzle Based on Decomposition Multi-Objective Improved Whale Optimization Algorithm

Trajectory Optimization of Manipulator for Loading and Unloa...

引用

ieee international conference on Cyber Technology in Automation, control, and Intelligent systems

作者： Dongliang Zhao Yiming Fang Chen Yang Jingliang Xin Key Lab of Industrial Computer Control Engineering Yanshan University Qinhuangdao Hebei Province China Engineering Research Center of the Education Ministry for Intelligent Control System and Intelligent Equipment Yanshan University Qinhuangdao Hebei Province China Hebei Iron and Steel Group Tangshan Hebei Province China

In recent years, industrial manipulators are widely used in factories. To solve the problems of low efficiency and high joint jitter in ladle nozzle loading and unloading, a new trajectory optimization method is proposed. Firstly, a manipulator model is established on the base of mechanical construction and parameters of KR1000L750. And the 3-5-3 segmented polynomial interpolation approach is used to design the trajectory. then a trajectory optimization model is proposed based on time and impact as optimization objectives. Secondly, the traditional whale optimization algorithm is improved by introducing a nonlinear adaptive convergence factor to balance the exploration and development of the algorithm. the improved algorithm has also added a new search mechanism during the exploration phase. To reduce the waste of exploration resources, the information on the current optimal solution is added by the Cauchy mutation method. then, a decomposition-based multi-objective improved whale optimization algorithm (DMOIWOA) is proposed. the algorithm combines a penalty-based boundary intersection approach with the improved whale optimization algorithm. Six representative optimization algorithms are selected for comparison on the test functions. the DMOIWOA has evident superiority in convergence and distribution. Finally, the algorithm is applied to the trajectory optimization model to obtain a better Pareto front. In conclusion, the DMOIWOA can reasonably optimize the manipulator trajectory, improving the manipulator operation efficiency and reducing the manipulator jitter.

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Efficient and Low-Cost Monitoring of Sea Ice thickness Using Shipborne Vibration Sensors and Machine Learning: A Novel Approach

Efficient and Low-Cost Monitoring of Sea Ice Thickness Using...

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ieee international conference on Cyber Technology in Automation, control, and Intelligent systems

作者： Han Zhang Xiyu Quan Le Yang Yuefang Li Leng Han Dongli Deng Weishi Li Xiaoyong Lv Yuliang Zhao Detachment 60 PLA Unit 92493 Huludao China Hebei Key Laboratory of Micro-Nano Precision Optical Sensing and Measurement Technology School of Control Engineering Northeastern University at Qinhuangdao Qinhuangdao China Experimentalist with Northeastern University at Qinhuangdao Qinhuangdao China

Sea ice is a significant factor in ship navigation, and accurately identifying its thickness is crucial for timely decision-making to ensure ship structural integrity and personnel safety. However, current methods for sea ice thickness measurement, such as shipborne imaging devices and synthetic aperture radar altimeters, have limitations such as high costs, difficulties in data acquisition, and poor timeliness. In this article, we present an approach to detect sea ice thickness using a combination of sensors and machine learning techniques. Vibration signals from ship-ice collisions are collected using acceleration vibration sensors, undergo data preprocessing and time-domain alignment, and the true value of sea ice thickness is obtained through field measurements and a sea ice image information identification system. Time-frequency domain features are extracted, and feature quantity optimization is performed, followed by machine learning regression algorithms to predict sea ice thickness. Experimental results show that excellent regression results can be obtained using a single node for thickness prediction, with an R2 value of 0.908 and an RMSE of 1.374 cm. Our findings demonstrate that analyzing vibration signals generated by ship-ice collisions during vessel navigation can effectively identify sea ice thickness. this approach provides a practical and cost-effective alternative for sea ice thickness measurement and identification in the field.

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A Hierarchical Framework for Vehicle-to-Grid (V2G) Distributed control Combining Peer-to-peer Blockchain with systemic Scheduling

A Hierarchical Framework for Vehicle-to-Grid (V2G) Distribut...

引用

ieee international conference on Power and Energy systems (ICPES)

作者： Yifan Wei Yimin Zhu Yudi Qin Yalun Li Hewu Wang Xuebing Han Languang Lu Minggao Ouyang State Key Laboratory of Automotive Safety and Energy Tsinghua University Beijing China School of Mechanical and Aerospace Engineering Nanyang Technological University Singapore Singapore Beijing LianYu Technology Co. Ltd. Beijing China

To achieve the carbon peak and neutrality target in China, the future electricity system will face the challenge of a high level of intermittent renewable energy, in which the energy storage will become the bottleneck. Vehicle-to-grid (V2G) is one of the most promising technologies to provide large-scale short-term energy storage with low cost. However, there is ‘trade-off’ between the global optimality and computational burden to schedule massive distributed vehicles. Additionally, the concern on battery degradation has become a critical obstacle for electric vehicle (EV) owners to participate in the vehicle-grid integration services, which is often ignored in existing scheduling methods. therefore, a hierarchical framework is proposed in this work, using global optimization to allocate the energy consumption and supply boundaries at the upper level, and ‘self-organization’ by peer-to-peer energy trading among prosumers with blockchain to execute instant transactions at the regional lower level. the evolutionary game and double auction are applied for iteration. the characteristics of EV charging and travel are generated with real-world statistics, and the battery degradation is included in the social welfare function. the simulation example has verified the effectiveness of the proposed method, achieving 13.8% and 15.7% increase of the overall utility compared with the method without blockchain and disregarding battery degradation, respectively.

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Simulation and Analysis of Monitoring Signals of thyristor Level control Unit Considering Parameters Deterioration of Converter Valve

Simulation and Analysis of Monitoring Signals of Thyristor L...

引用

ieee international conference on Power and Energy systems (ICPES)

作者： Longchen Liu Zhijie Jia Lei Pang Peng Zhang Shixiong Tang Yu Huang State Grid Sichuan Electric Power Research Institute Chengdu China School of Electrical Engineering Xi’an Jiaotong University Xi’an China State Grid Sichuan Electric Power Corporation UHVDC Center Chengdu China

the thyristor control unit (TCU) is the core component of the electric-controlled converter valve control and protection system. It is of great significance to explore the monitoring signal rules of the TCU in depth for real-time monitoring and evaluation of the operation status of the converter valve. Based on the analysis of the working principle of the TCU for the thyristor level of the converter valve and the timing characteristics of the monitoring feedback signal, this article combines the I-V curve characteristics of the thyristor in the converter valve measured on-site. Using MATLAB/Simulink, a six-pulse converter valve simulation model considering multistage thyristor series connection is established. In view of the typical statistical distribution of degradation of series devices, the influence of degradation parameters such as damping capacitors and equivalent insulation resistances of thyristor on the voltage waveform and monitoring signal timing distribution characteristics of each thyristor level in the TCU is studied, and a simulation test verification platform was built.. the results show that when the circuit parameters of the thyristor deteriorate, its feedback signal will appear ahead of the healthy thyristor, and the timing difference will increase with the degree of deterioration. In addition, compared with the deterioration of the damping capacitance parameter, the timing of the feedback signal is more sensitive to the insulation deterioration of the thyristor. When the insulation of the thyristor deteriorates, the healthy thyristors will bear a higher voltage compared to the deteriorated thyristor, and the voltage borne by the thyristor with a deteriorated damping capacitance will increase. Finally, the relevant conclusions obtained from the simulation were verified through experiments. this research can provide support for further real-time online evaluation of the health status of key components of the valve based on TCU unit monitoring sign

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Adaptive Request Scheduling for Device Cloud 13

Adaptive Request Scheduling for Device Cloud

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ieee 13th international conference on Services computing (SCC)

作者： Dong, Han Xu, Enze Jing, Xiang Cai, Huaqian Huang, Gang Peking Univ Sch Software & Microeletron Beijing Peoples R China Peking Univ Sch Elect Engn & Comp Sci Beijing Peoples R China

ISBN: (纸本)9781728187891

Nowadays, more and more cloud testing platforms provide enterprise developers with solutions for cloud device debugging and automatic testing. It is a great challenge for these cloud platforms to schedule the arriving requests to run on the specific smart device resources in real-time and efficiently. the traditional scheduling algorithm is difficult to adapt to the application interface call request with a vast difference in volume and behaviour ability. To solve this problem, we integrate these smart devices into a device cloud and propose a measurement method of the service capability of a single device in the group. then we build an adaptive scheduling algorithm model according to the characteristics of the serviceability of a single device to improve the scheduling efficiency of the group. Practice shows that the adaptive scheduling algorithm can effectively control the network traffic. Finally, through the analysis and optimization, we get the method of obtaining the optimal parameter combination in the algorithm.

关键词： adaptive scheduling smart devices traffic control device cloud competitive counting

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Towards an Approach of Risk Analysis in Access control 13

Towards an Approach of Risk Analysis in Access Control

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13th international conference on Developments in esystems engineering (DeSE)

作者： Jayabalan, Manoj Liverpool John Moores Univ Sch Comp Sci & Math Liverpool L3 3AF Merseyside England

ISBN: (纸本)9781665422383

Information security provides a set of mechanisms to be implemented in the organisation to protect the disclosure of data to the unauthorised person. Access control is the primary security component that allows the user to authorise the consumption of resources and data based on the predefined permissions. However, the access rules are static in nature, which does not adapt to the dynamic environment includes but not limited to healthcare, cloud computing, IoT, National Security and Intelligence Arena and multi-centric system. there is a need for an additional countermeasure in access decision that can adapt to those working conditions to assess the threats and to ensure privacy and security are maintained. Risk analysis is an act of measuring the threats to the system through various means such as, analysing the user behaviour, evaluating the user trust, and security policies. It is a modular component that can be integrated into the existing access control to predict the risk. this study presents the different techniques and approaches applied for risk analysis in access control. Based on the insights gained, this paper formulates the taxonomy of risk analysis and properties that will allow researchers to focus on areas that need to be improved and new features that could be beneficial to stakeholders.

关键词： Risk analysis Access control Privacy security Information security

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the Research on control and Dynamic Property of Autonomous Vehicle Adaptive Lidar system 13

The Research on Control and Dynamic Property of Autonomous V...

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2020 ieee Congress on Cybermatics: 13th ieee international conferences on Internet of things, ithings 2020, 16th ieee international conference on Green computing and Communications, GreenCom 2020, 13th ieee international conference on Cyber, Physical and Social computing, CPSCom 2020 and 6th ieee international conference on Smart Data, SmartData 2020

作者： Chen, Jing Zhang, Hanlin Lu, Yi Zhang, Qingrui Information Center Tianjin Research Institute for Water Transport Engineering Tianjin China Tianjin Research Institute for Water Transport Engineering Development Department Tianjin China Shanghai University of Engineering Science Shanghai China Computer Science School Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9781728176475

Autonomous driving has attracted remarkable attention from both industry and academic, lidar is one of the most sensors in the core module of autonomous driving, it plays an important role in vehicle positioning and obstacle avoidance, Lidar is usually expensive and noble, but to reduce the blind area of vehicles, it has to increase the number of lidars, making autonomous vehicles are expensive. Based on this background, a servo system with two degrees of freedom is designed in this paper to make up for blind spots in a lidar system. Autonomous vehicle lidar servo system works when the car turns, goes up and down ramps. Based on the kinematic behavior of the vehicle, dynamic analysis was performed, the angle of lidar detection changes with the rotation of the steering wheel, and the tilt angle of the vehicle body. the blind area caused by the angle of the vehicle can be avoided. the servo lidar control system was simulated by MATLAB, and its performance was verified. In a word, the blind zone of an autonomous driving vehicles can be effectively reduced. At the same times lidars can be fully utilized to reduce hardware costs. © 2020 ieee.

关键词： Autonomous vehicles

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