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6th IEEE Conference on Energy Internet and Energy system Integration, EI2 2022

作者： Ma, Qinfeng Zhu, Yihua Liu, Mingshun Chang, dongxu Pu, Qingxin Li, Chengxiang Power Dispatching Control Center of Guizhou Power Grid Co. Ltd Guizhou China Southern Power Grid State Key Laboratory of HVDC Electric Power Research Institute China Guangzhou China National Energy Power Grid Technology R&D Centre Guangzhou China China Southern Power Grid CSG Key Laboratory for Power System Simulation Electric Power Research Institute Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China

ISBN: (纸本)9798350347159

The stability control system is an important means to ensure the safe and stable operation of the power system. In view of the shortcomings of the existing offline/real-time simulation test methods, a closed-loop simulation scheme based on virtual component technology is proposed. The virtual component technology of the stability control device is researched, and the virtualization method of the external hardware interface of the device is designed. On this basis, a closed-loop simulation framework of the stability control system under the offline/real-time simulation test environment is proposed. The functional logic of each component under the framework are analyzed. The calculation and feedback process of the entire closed-loop simulation system are analyzed in depth, which effectively solves the difficulty of simulation analysis and test verification of large-scale stability control system, providing a new method for the research and verification of stability control system strategy. © 2022 IEEE.

关键词： control system stability

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The development of Simulation Mirror system and its Application in HVdC

The Development of Simulation Mirror System and its Applicat...

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HVdC (HVdC), International Conference on

作者： Kaijian Ou Wencong Wu Haiqing Cai State Key Laboratory of HVDC Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System CSG Key Laboratory for Power System Simulation National Energy Power Grid Technology R&D Centre Electric Power Research Institute China Southern Power Grid Electric Power Research Institute China Southern Power Grid Guangzhou China

ISBN: (数字)9798350387759

ISBN: (纸本)9798350387766

The testing of HVdC new control function and training of HVdC operation personnel require the integration of power system simulation and dispatching automation. This paper presents and builds AC&dC power system simulation mirror system, which is the closed-loop of real-time digital simulation and dispatching automation. Moreover, the applications of simulation mirror system on HVdC new control function testing and HVdC simulation training cabinet are also introduced in this paper.

关键词： Training Automation HVdC transmission Power system simulation High-voltage techniques dispatching real-time systems Mirrors Personnel Testing

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A real-time Framework of Multi-Camera Vehicle Tracking system

A Real-time Framework of Multi-Camera Vehicle Tracking Syste...

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2024 IEEE International Conference on real-Time Computing and robotics, rCAr 2024

作者： Zhuang, Hanyang Chen, Xingyuan Lan, Jianglin Wang, Ying Lu, Zhaoxuan Wang, Chunxiang Yang, Ming University of Michigan Shanghai Jiao Tong University Joint Institute Shanghai Jiao Tong University Shanghai200240 China University of Glasgow James Watt School of Engineering GlasgowG12 8QQ United Kingdom Shanghai Jiao Tong University School of Mechanical Engineering Shanghai200040 China Shanghai Intelligent and Connected Vehicle R and D Center Co. LTD Shanghai201400 China Shanghai Jiao Tong University Department of Automation Shanghai200240 China Ministry of Education of China Key Laboratory of System Control and Information Processing Shanghai200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240 China

ISBN: (纸本)9798350372601

Multi-camera vehicle tracking (MCVT) system is a key technology to build an intelligent city and intelligent transportation system. The MCVT system utilizes roadside monitoring devices and computing platforms to achieve city-level road traffic perception at a finer scale by tracking each vehicle on the road to obtain the trajectory. The existing MCVT system mainly focuses on dealing with the algorithm modules separately, without studying the real-time performance and system architecture of the entire pipeline. However, in real-world applications, many of the tricks in improving evaluation metrics are not applicable since there is endless traffic flow running all the time. Therefore, this paper proposes a real-time framework of the MCVT system to streamline all the algorithm modules with proper data flow. Firstly, a multi-threaded multi-vehicle tracking (MVT) module is developed to detect vehicles in each camera. re-identification is implemented during MVT to provide the feature for tracking in the same camera and across different cameras. Then, after the vehicle leaves the camera field of view, the feature of vehicle trajectory is calculated by averaging the feature at each frame. Meanwhile, a background thread runs continuously to match the incoming feature of vehicle trajectory with past features by conducting a topology searching method. In the end, the vehicle trajectories with well-matched features are considered to be the same vehicle. The entire pipeline has been validated on two different datasets, the precision is 0.64 in the CityFlow dataset which uses 6 cameras simultaneously. In the customized dataset, the same method can still reach real-time when using 16 cameras at the same time with smaller network modules. © 2024 IEEE.

关键词： Vehicle locating systems

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A capacitor-type dC circuit breaker for offshore all-dC grids

A capacitor-type DC circuit breaker for offshore all-DC grid...

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Energy, Power and Electrical Engineering (EPEE), International Conference on

作者： Qianqian Xu Qihui Liu Xipeng Cai Yihua Zhu Chao Luo State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing China Laboratory of HVDC Electric Power Research Institute China Southern Power Grid National Energy Power Grid Technology R&D Centre Guangzhou China Laboratory of HVDC Electric Power Research Institute China Southern Power Grid National Energy Power Grid Technology R&D Centre Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China

ISBN: (数字)9798331518066

ISBN: (纸本)9798331518073

Full dC of offshore wind farms is the future development trend of large-scale offshore wind farms, however, the probability of dC line faults is high, and the use of dC circuit breakers can realise the fault ride-through of offshore full dC wind farms, improve the safe operation of the system during faults, and is one of the mainstream solutions to realise dC fault isolation. In this paper, a capacitive dC circuit breaker suitable for offshore full dC grid is proposed, which can effectively suppress the fault current by introducing a current limiting device. The topology and working principle of this circuit breaker are analysed, and the circuit breaker fault handling process is theoretically analysed. Finally, for the single-end equivalent system using capacitor-type dC circuit breaker, a simulation model is established in Matlab/Simulink software for verification, and the simulation results show that the proposed circuit breaker has a better current limiting effect and has the ability to isolate faults quickly.

关键词： Thyristors Limiting Circuit breakers Simulation Wind farms Software Topology Circuit faults Fault currents Switching circuits

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Impedance Network Modeling of GFL and GFM Converters system Considering AC/dC Couplings

Impedance Network Modeling of GFL and GFM Converters System ...

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IEEE International Conference on Power and Power and renewable Energy (ICPrE)

作者： Kun Zheng Chao Luo Zhiyuan Sun Yihua Zhu Jiawei Yu Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Guangxi Power Grid Electric Power Research Institute China Southern Power Grid Nanning China State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid National Energy Power Grid Technology R&D Centre Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guang zhou China

ISBN: (数字)9798350377460

ISBN: (纸本)9798350377477

With the rapid development of grid-forming (GFM) control technology, integrating GFM control into grid-following (GFL) control-dominated systems has been attached with great importance due to the enhancement of grid supporting capability. To keep the normal operation of such GFL/GFM hybrid system, its small-signal stability needs to be studied, while the current research mainly focuses on the GFL/GFM converters' ac-side dynamics and usually ignore their ac/dc couplings. Therefore, this paper proposes an impedance network modeling method for GFL/GFM multi-converters system, and then a nodal admittance matrix retaining both ac and dc nodes is obtained. With such model, system marginal unstable condition can be accurately determined. Further, the influence of the capacity ratio between GFL and GFM converter is discussed. Simulation results of a typical GFL/GFM hybrid system verify the theoretical analysis.

关键词： Couplings renewable energy sources Grid following Simulation Power system stability Stability analysis Admittance Impedance Matrix converters Grid forming

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Pressures monitored by 3d printed capacitive pressure sensor embedded on prosthetic upper-limb socket;a case study

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Journal of Biomechanical Science and Engineering 2021年第3期16卷 1-9页

作者： Lee, Sunkon Kwon, Hyeonjung Jung, Sung-Yoon Shin, Hyun-Jun Kwon, Chil-Yong Kim, Joo-Hyung Lab. of Intelligent Devices and Thermal Control Department of Mechanical Engineering Inha University 100 Inha-ro Michuhol-gu Incheon22212 Korea Republic of Advanced Prosthesis R&D Team Korea Orthopedics & Rehabilitation Engineering Center 10 Beon-gilGyeongin-ro Bupyeong-gu Incheon21417 Korea Republic of

The comfort fit of a limb prosthetic socket is one of the most important considerations for developing the socket for an amputee. The pressure at the touchpoint, which is the interface between the residual limb with natural skin and the prosthetic limb socket with a polymeric material, should be monitored precisely when fabricating the comfort fit. Even a small volume or shape discrepancy between the residual limb and prosthetic limb sock causes several problems in the residual limb, such as skin breakage, tissue irritation, and associated pain. Volume variations of the residual limb due to squeezing by a prosthetic limb sock result in pressure changes that can be detected using a pressure sensor. In this study, the interface pressures between the residual limb and prosthetic upper-limb socket were obtained using a 3d printed capacitive pressure sensor. An upper-limb prosthetic socket and capacitive pressure sensor were fabricated using a dual nozzle 3d Fused deposition Modelling technique. Polylactic acid, polylactic acid-carbon black compound, and polyurethane were used as the personalized upperlimb socket and sensing electrode, and substrate material, respectively. The as-fabricated sensors were embedded into the sock wall, and their sensing properties were characterized. For a case study, the sensor-embedded sockets were worn on an amputee's residual upper-limb to characterize empirically the contact pressure occurring at the interfaces. A weight was attached to the end of the limb socket to examine the effects of weight on the local pressures acting on the residual upper limb. The observed interface pressures and pressure distribution at the interface can provide valuable information to clinicians and developers that can guide fit improvements. © 2021. All rights reserved.

关键词： Pressure sensors

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Adaptive Identification of Power system Operational States Based on Spatio-Temporal dynamic Graph Neural Networks

Adaptive Identification of Power System Operational States B...

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Electronic Technology, Communication and Information (ICETCI), IEEE International Conference on

作者： Qingqing Zhang Qinfeng Ma Mingshun Liu Jie Zhang Yihua Zhu Zhuohang Liang Su An Qingxin Pu Jiang dai Power Dispatching and Control Center of Guizhou Power Grid Co. Ltd. Guizhou China State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou China National Energy Power Grid Technology R&D Centre Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China

ISBN: (数字)9798350361643

ISBN: (纸本)9798350361650

The state identification of the operational status of power systems plays a crucial role in ensuring the safety, efficiency, and reliable operation of power systems, forming the foundation for the management and control of power system operations. In the practical operation of power systems, the duration of fault states is short, while the system remains in a safe and stable state for a significantly longer period, leading to an imbalance in the training samples available. This imbalance can cause traditional machine learning classification algorithms to favor the majority categories of power system operational states, resulting in inaccurate evaluation metrics and reduced model generalization capability. To address this issue, this paper introduces a spatiotemporal dynamic graph neural network model for the identification of power system operational states. By incorporating class cost coefficients, focal loss, and cross-entropy in a joint loss function, the model adaptively focuses on the less represented operational state categories during training, improving classification accuracy on imbalanced and challenging samples. Moreover, the integration of temporal information and spatial topology information within the graph neural network enhances the model’s robustness and generalization ability in state identification. Experimental results on the standard IEEE 68-bus system demonstrate that, compared to traditional machine learning methods, the proposed joint loss with the spatiotemporal dynamic graph neural network model achieves higher accuracy in the identification of power system operational states, significantly improving classification performance on imbalanced samples with a 4.8% increase in F1-score, reaching a peak F1-score of 98.6%.

关键词： Training Adaptation models Accuracy Power system dynamics Power system stability Graph neural networks Stability analysis

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Clustering and Equivalent Modeling Method for direct-drive Wind Farms Based on Particle Swarm Neural Network

Clustering and Equivalent Modeling Method for Direct-Drive W...

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Energy, Power and Electrical Engineering (EPEE), International Conference on

作者： Liang Tu Libin Huang Haiping Guo Binjiang Hu Jingyue Zhang Hui Luo China Southern Power Grid State Key Laboratory of HVDC Electric Power Research Institute Guangzhou China National Energy Power Grid Technology R&D Centre China Southern Power Grid Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System China Southern Power Grid Guangzhou China China Southern Power Grid CSG Key Laboratory for Power System Simulation Electric Power Research Institute Guangzhou China National Energy Power Grid Technology R&D Centre Guangzhou China

ISBN: (数字)9798331518066

ISBN: (纸本)9798331518073

In the realm of large-scale integration of wind farms or clusters into power grids, the fault transient characteristics of these grids have experienced significant transformations. Unfortunately, the prevalent single-machine equivalent models are inadequate in accurately depicting the fault transient behavior of wind farms or clusters. Moreover, their simulation computations are exceedingly intensive, resulting in suboptimal simulation efficiency. To address these challenges, this paper introduces a clustering and equivalent modeling approach tailored for direct-drive wind farms, leveraging the capabilities of a particle swarm neural network. Initially, a transient model for direct-drive wind turbines is formulated, and fault characteristic influence factors are established through theoretical analysis. These factors encompass the distance between the wind turbine and the point of common coupling (PCC), the implementation of dC-side current limiting measures, wind speed, and reactive power at the outlet. Following this, the Euclidean distance of the influence factor set is computed, and the initial cluster centers of wind turbines are derived using an enhanced max-min distance method. Ultimately, an equivalent clustering model is formulated by utilizing the influence factors and initial cluster centers as the training set. Simulation outcomes reveal that, in comparison to the single-machine equivalent model, this method enhances simulation efficiency by a range of ${6 2 \%}$ to ${6 7 \%}$ and reduces the steady-state error in fault current simulation by ${0 . 8 \%}$ to ${1 . 9 \%}$.

关键词： Training Computational modeling Wind speed Current measurement Wind farms data models Wind turbines Steady-state Transient analysis Particle swarm optimization

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dynamic Short-Circuit Current Characterization for Bipolar Photovoltaic Units Under Fault ride-Through Conditions

Dynamic Short-Circuit Current Characterization for Bipolar P...

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Electrical, Electronic Information and Communication Engineering (EEICE), International Conference on

作者： Yuyan Liu Binjiang Hu Chao Luo Zun Ma Xian Meng Kewei Xu State Key Laboratory of HVDC Electric Power Research Institute Guangzhou China National Energy Power Grid Technology R&D Centre Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China Electric Power Research Institute of Yunnan Power Grid Co. Ltd Kunming China

ISBN: (数字)9798331532598

ISBN: (纸本)9798331532604

The calculation of short-circuit current during the entire fault ride-through process of photovoltaic (PV) power generation units is a crucial prerequisite for equipment selection and protection strategy design after their large-scale integration into the system. Currently, research on the short-circuit current of PV power generation units primarily focus on the transient process calculation at the initial stage of a short-circuit, while analytical calculation of the short-circuit current during the entire fault ride-through process is rarely addressed. Moreover, most studies do not consider the actual operating conditions of the units, neglecting the impact of fault ride-through strategies, and the short-circuit current calculation methods are only applicable to specific single-fault scenarios. This study, based on a detailed electromagnetic transient model of a bipolar PV power generation unit, analyzes the characteristics of short-circuit current during the entire fault ride-through process. Combined with the fault ride-through control strategy, the analytical expression of short-circuit current during the fault transient period is derived, and an analytical calculation method suitable for the entire fault ride-through process is proposed. Finally, the effectiveness of the analytical method for short-circuit current during the low-voltage ride-through process of bipolar PV power generation units is verified by comparing it with the manufacturer's encapsulated model.

关键词： Photovoltaic systems Analytical models Low voltage Short-circuit currents Power quality Process control Power system stability Large scale integration Transient analysis Protection

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Evaluating the Accuracy and robustness of Initial Orbit determination Methods for SSA in Low Earth Orbit Using real Observation data 74

Evaluating the Accuracy and Robustness of Initial Orbit Dete...

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74th International Astronautical Congress, IAC 2023

作者： Altınışık, S. Erkan, Y.B. Hamurcu, E. R&D Department OBSS Technology Oran Mahallesi Zülfü Tigrel Caddesi No:1/2 Çankaya Ankara06550 Turkey Air Defence and Space Command & Control Systems Directorate ASELSAN Konya Yolu 8. Km Oğulbey Mah. 3051. Sok. No:3 Ankara06830 Turkey System Engineering Department Büyütech Üniversiteler Mahallesi ODTÜ Teknokent Silikon Blok ZK-12 Çankaya Ankara06800 Turkey

Space Situational Awareness (SSA) has become the focal point of space-borne missions with ever-increasing activity in near earth orbit. Governments and private corporations rapidly started to invest in their SSA programmes to track, identify and catalogue orbiting objects. Maintaining an accurate catalogue is crucial not only to take precautions to avoid potential collisions of space assets but also it is important to classify domestic and foreign space activity. To be able to effectively track and identify space objects, orbital parameters or the state vectors of the object should be determined. This study will be carried out with the real observation data gathered from the ground station located in Ankara, Turkey. Using ground-based telescopes, high-fidelity images of low-earth orbit (LEO) satellite tracks will be obtained, and using an open-source image processing library stvid by Cees Bassa, equatorial right ascension (rA, α) and declination (dEC, δ) angles of the satellite will be extracted. One can then obtain Keplerian parameters by applying various Initial Orbit determination (IOd) methods such as Laplace, Gauss, Gooding, etc. Since the question here becomes an accuracy issue rather than how to implement IOd methods, the efficiency, accuracy, and robustness of these different methods as a function of the observation arc and the temporal separation between individual observations will be addressed within this study. A comparison of already available IOd algorithms and potentially improved algorithms will be thoroughly discussed. Additionally, a circular orbit assumption will be applied to the aforementioned IOd methods that require three sets of angle measurements so that this necessity will be reduced to only two observations. Upon thorough examination of different IOd methods, it is found that when the number of observations is limited, it is necessary to increase the time between observations to improve the accuracy of the solution. For the objects orbitin

关键词： circular orbit assumption initial orbit determination optical observation SSA

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