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Practical research on On-Line Monitoring and control Function Module of relay Protection in Smart Substation 18

Practical Research on On-Line Monitoring and Control Functio...

引用

18th International Conference on AC and dC Power Transmission, ACdC 2022

作者： Huang, Zhida Wu, Wencong Cai, Haiqing Huang, Libin State Key Laboratory of HVDC Electric Power Research Institute CSG Guangzhou510663 China National Energy Power Grid Technology R&D Centre Guangzhou510663 China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou510663 China CSG Key Laboratory for Power System Simulation Guangzhou510663 China

ISBN: (数字)9781839537615

ISBN: (纸本)9781839537615

At present, the power grid is carrying out the practical work of smart substation On-line monitoring and control function module of relay protection. Compared with traditional substations, the new-generation assurance system has been greatly improved in 7 functional modules, including fault archiving, special maintenance information patrol, fixed value checking, configuration checking, substation testing, intelligent alarm, and master station modeling. It can fully adapt to the functional requirements of smart substations and traditional substations. This paper analyzes the monitoring and analysis requirements of the assurance system based on the equipment configuration of the station control layer of the new generation of intelligent substations, and proposes a complete design scheme of seven functional modules from three aspects: functional requirements, implementation logic, and performance design. The practical application results in the power grid simulation laboratory show that the On-line monitoring and control function module of relay protection based on the guarantee system can be compatible with the traditional 103 substations and 61850 substations and achieve the expected goals and performance requirements. It has the value of promotion and application. © ACdC 2022. All rights reserved.

关键词： relay protection

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Conflict Mechanism Analysis Method for Electric Vehicles Participating in Multiple Types of Power Grid Ancillary Services

Conflict Mechanism Analysis Method for Electric Vehicles Par...

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2023 International Conference on Power system Technology, PowerCon 2023

作者： Xue, Yinjuan Chen, Qifang Cai, Haiqing Xia, Mingchao Gu, Haohan School of Electrical Engineering Beijing Jiaotong University Beijing China State Key Laboratory of Hvdc Electric Power Research Institute China Southern Power Grid 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 Csg Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China

ISBN: (纸本)9798350300222

As the high-quality flexible resource of the grid, electric vehicles (EVs) can provide multiple auxiliary services for the grid at the same time. However, due to the one-way charging and discharging of EVs, as well as the limitation of power and capacity, which may cause availability conflicts when EVs participate in different auxiliary services simultaneously. This paper focuses on the analysis of the conflict mechanism of EVs participating in the secondary frequency regulation and peak shaving ancillary services at the same time. The impact mechanism between different auxiliary services in this conflict mode is revealed from the two aspects of limit conflict and charging and discharging instruction conflict, and the results of availability conflict of the two types of auxiliary services are verified and analyzed through simulation examples. © 2023 IEEE.

关键词： Frequency modulation

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direct Torque control of Permanent Magnet Synchronous Motor Using Voltage Vector Prediction 6

Direct Torque Control of Permanent Magnet Synchronous Motor ...

引用

6th CAA International Conference on Vehicular control and Intelligence, CVCI 2022

作者： Lin, Zhixiang Xu, Junqi Cao, Guang-Zhong Liang, Tao Huang, Su-dan Shenzhen University Guangdong Key Laboratory of Electromagnetic Control and Intelligent Robots Shenzhen China Tongji University National Maglev Transportation Engineering R&d Center Shanghai China The Fourth Engineering Co.led. of China Railway Constraction Bereau Group Changsha China

ISBN: (数字)9781665453745

ISBN: (纸本)9781665453745

In order to suppress the flux and torque ripples of direct torque control (dTC) for permanent magnet synchronous motors (PMSMs), a direct torque control based on voltage vector prediction is proposed in this paper. First, the system model of PMSMs is established. Based on the system model, the voltage vector prediction model is built. The voltage vector predictive torque control algorithm is then designed using the voltage vector prediction model. Moreover, the maximum torque current ratio is deduced applying the defined cost function. Finally, the proposed method is performed via simulation, and the effectiveness of the method proposed in this paper is verified with the comparison results. © 2022 IEEE.

关键词： Forecasting

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Active disturbance rejection Position control of Permanent Magnet Linear Synchronous Motors Using Feedback Nonlinear State Error 2

Active Disturbance Rejection Position Control of Permanent M...

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2nd International Conference on Sensing, Measurement and data Analytics in the Era of Artificial Intelligence, ICSMd 2021

作者： Xiao, Yang Huang, Sudan Cao, Guangzhong Wang, Huaizhi Xu, Junqi Shenzhen University Guangdong Key Laboratory of Electromagnetic Control and Intelligent Robots Shenzhen China Tongji University National Maglev Transportation Engineering R&D Center Shanghai China

ISBN: (纸本)9781665427470

Permanent magnet linear synchronous motors (PMLSMs) have the advantages of simple structure, high efficiency, high accuracy, and direct drive. However, the motion accuracy of PMLSMs is hindered due to the negative effect of various disturbances directly acting on the mover, and thus, the development of effective control method against disturbances is a key task for PMLSMs. An active disturbance rejection position control method of PMLSMs using feedback nonlinear state error is proposed to achieve precision motion against disturbances in this paper. The electromagnetic thrust model and the dynamics model of PMLSMs are firstly established. Subsequently, an active disturbance rejection position controller is developed based on the nonlinear state error feedback. In order to reduce the number of control parameters and the jitter of control law, a sliding mode controller based on an improved exponential convergence law is designed to optimize the nonlinear state error feedback control law. In addition, the performance of the extended state observer and an improved nonlinear state error feedback control law are discussed, and the optimal control parameters are determined using the simplex method. Finally, simulation results demonstrate the implementation of high-precision motion and the improvement of anti-interference capability for the PMLSMs, and the effectiveness of the proposed method is verified. © 2021 IEEE.

关键词： Sliding mode control

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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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Closed-loop Simulation Method of Stability control system Based on Virtual Component Technology 6

Closed-loop Simulation Method of Stability Control System Ba...

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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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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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Nonlinear Modeling of the VSC Grid-Connected system with controller Saturation 4

Nonlinear Modeling of the VSC Grid-Connected System with Con...

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4th International Conference on Electrical Engineering and control Technologies, CEECT 2022

作者： Yu, Jiawei Zhu, Yihua Li, Chengxiang Luo, Chao State Key Laboratory of Hvdc Electric Power Research Institute China Southern Power Grid China National Energy Power Grid Technology R&d Center Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China Csg Key Laboratory for Power Sytem Simiulation ELectic Power Reasearch Institute China Southern Power Grid Guangzhou China

ISBN: (纸本)9781665498999

With the development of power electronics technology, the power system is now evolving into a new-generation power system dominated by renewable energy. due to the physical limitations of power electronics, controller saturation is widely adopted in wind turbines and photovoltaics. In this paper, a nonlinear system model considering output saturation is proposed in the view of general dynamic systems. By defining saturation-activation vector L, all the saturations of the system are uniquely represented. Then, the proposed modeling method is applied to a voltage source converter (VSC) grid-connected system. Based on rTdS simulation, this paper revealed that a class of oscillations at a specific frequency are caused by the activation of the phase-locked loop (PLL) saturation. The frequency of the oscillation depends on the top and bottom boundaries of PLL saturation. © 2022 IEEE.

关键词： Chemical activation

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design and Implementation of intelligent Simulation drill system of Power Communication Access Network and Transmission Network 3

Design and Implementation of Intelligent Simulation Drill Sy...

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3rd International Conference on Artificial Intelligence and Advanced Manufacture, AIAM 2021

作者： Hao, Xue Geng, Lizhuo Liu, Lu Fan, Yukun Jin, Wei Gao, Qi Training Center State Grid Hebei Electric Power Company Limited Shijiazhuang China Simulation R&D Dept. Beijing Kedong Power Control System Company Limited Beijing China

ISBN: (纸本)9781450385046

Aiming at solving problems such as the lack of systematic management of simulation models and drill cases in existing power communication simulation drill tools, large difference between simulation network scene and working environment of the trainees, and failure to intelligently recommend drill contents according to individual conditions, this paper puts forward the solution of intelligent simulation drill system of power communication access network and transmission network. This paper introduces the architecture and functions of the system, focuses on the key technologies related to the construction of knowledge graph for power communication skill drills and intelligent drill services, and finally gives an outline of the application of the system. The system establishes an intelligent simulation platform, which can efficiently meet the personalized and practical skill improving needs of power communication technicians in terms of access network and transmission network. © 2021 ACM.

关键词： drills

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research on Boot Problem and Automatic repair of an Embedded real-Time Operating system

Research on Boot Problem and Automatic Repair of an Embedded...

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Computer Technologies (ICCTech), International Conference on

作者： Haoshang Zhou Zhaoling Gao Zhongfu Wang Xiaopeng Wang State Key Laboratory for Traction and Control System of EMU and Locomotive CRRC Dalian Electric Traction R&D Center Co. Ltd. School of Intelligence and Electronic Engineering Dalian Neusoft University of Information

At present, in the communication between Electric Multiple Units (EMU) and locomotive network control system, in order to ensure the stability of vehicle control and the accuracy and reliability of data recording, its key components - Central control Unit (CCU) and Event record Machine (ErM) adopt an embedded real-time operation system. In order to facilitate debugging, the system needs to start Microsoft's dOS system before being called to start. Based on the feedback of the embedded real-time operating system startup failure from each locomotive and rolling stock depot, this paper will elaborate on its startup process and propose a solution that can automatically repair the startup problem, which has been tested in the laboratory to prove that this method can effectively avoid the system startup failure.

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