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research and Application of Simplified Service Bus in New Generation dispatching Technical Support system and Heterogeneous system 6

Research and Application of Simplified Service Bus in New Ge...

引用

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

作者： Qiang, Yi Shupeng, Wan Zhemin, Wang Weihua, He Ping, Zhang Feng, Zhang NARI Technology Co. Ltd System R&D Center Nanjing China State Grid Shanxi Electric Power Co. Ltd Taiyuan China State Key Laboratory of Smart Grid Protection and Control System R&D Center Nanjing China

ISBN: (纸本)9798350347159

With the rapid development of UHV AC / dC hybrid power grid, in order to cope with the large-scale access of new energy, the power market reform has been continuously promoted. Therefore, it is proposed to build a new generation of dispatching technical support system to meet the needs of future power system development and safe, stable and high-quality operation. This paper proposes a simplified service bus that supports a new generation of service-oriented architecture, and meets the deployment characteristics of cloud terminals that are cross platform, lightweight, easy to deploy, open and efficient. The simplified service bus can well meet the location independent characteristics and be easily deployed in and out of the system. The flexible protocol processing mode cooperating with the gateway can meet the needs of accessing the services of the system and external systems. At the same time, it supports multiple man-machine network and automatic switching of service network shutdown under N-1 mode, which greatly improves the availability and stability of the system, Which Provide a strong guarantee for the safe, stable and efficient operation of the new generation system. © 2022 IEEE.

关键词： Gateways (computer networks)

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research on Boot Problem and Automatic repair of an Embedded real-time Operating system 2

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

引用

2nd International Conference on Computer Technologies, ICCTech 2023

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

ISBN: (纸本)9781665455824

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. © 2023 IEEE.

关键词： Program debugging

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FTM Implementation and ranging Performance Characterization for Indoor Localization 13

FTM Implementation and Ranging Performance Characterization ...

引用

13th IEEE Global Conference on Consumer Electronic, GCCE 2024

作者： Hirata, rei Koizumi, Atsushi Oguma, Hiroshi Sakaguchi, Naotaka Sumi, Takenori Nagai, Yukimasa Nit Toyama College Department of Control Information System Enginering 1-2 Ebie-Neriya Toyama Imizu933-0239 Japan Mitsubishi Electric Corporation Information Technology R&d Center 5-1-1 Ofuna Kanagawa Kamakura247-8501 Japan

ISBN: (纸本)9798350355079

Indoor positioning technologies for IoT sensing are attracting attention. We are currently exploring standard indoor positioning methods using IEEE 802.11 / Wi-Fi. In this paper, we utilize the IEEE802.11-2016 FTM (Fine Timing Measurement) protocol, which enables to calculate distances between devices and access points (APs). The ranging accuracy of FTM, however, varies depending on multipath propagation of wireless signals and device-specific factors. Therefore, we implemented FTM on two models, Google Pixel4 and Zenfone9, and conducted experiment studies in the gymnasium and corridor of our school to evaluate position detection accuracy. In the gymnasium, the average error was 1.42 m for Zenfone9, while 1.07 m for Pixel4. In the corridor, the average error was 0.66m for Zenfone9, whereas 2.47 m for Pixel4. © 2024 IEEE.

关键词： FTM Indoor Localization IoT sensing machine dependence round Trip Time

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Adaptive Identification of Power system Operational States Based on Spatio-Temporal dynamic Graph Neural Networks 4

Adaptive Identification of Power System Operational States B...

引用

4th IEEE International Conference on Electronic Technology, Communication and Information, ICETCI 2024

作者： Zhang, Qingqing Ma, Qinfeng Liu, Mingshun Zhang, Jie Zhu, Yihua Liang, Zhuohang An, Su Pu, Qingxin dai, Jiang Power Dispatching and Control Center of Guizhou Power Grid Co. Ltd. Guizhou China China Southern Power Grid State Key Laboratory of HVDC Electric Power Research Institute 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

ISBN: (纸本)9798350361643

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%. © 2024 IEEE.

关键词： Graph neural networks

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A capacitor-type dC circuit breaker for offshore all-dC grids 4

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

引用

4th International Conference on Energy, Power and Electrical Engineering, EPEE 2024

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

ISBN: (纸本)9798331518066

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. © 2024 IEEE.

关键词： Offshore wind farms

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Clustering and Equivalent Modeling Method for direct-drive Wind Farms Based on Particle Swarm Neural Network 4

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

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4th International Conference on Energy, Power and Electrical Engineering, EPEE 2024

作者： Tu, Liang Huang, Libin Guo, Haiping Hu, Binjiang Zhang, Jingyue Luo, Hui State Key Laboratory of Hvdc Electric Power Research Institute China Southern Power Grid 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 Csg Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China National Energy Power Grid Technology R&d Centre Guangzhou China

ISBN: (纸本)9798331518066

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 62% to 67% and reduces the steady-state error in fault current simulation by 0.8% to 1.9%. © 2024 IEEE.

关键词： Windmill

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A Networked Method Applied to Sensitivity Analysis of a VSG controlled BESS system 5

A Networked Method Applied to Sensitivity Analysis of a VSG ...

引用

5th International Conference on Power Engineering, ICPE 2024

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

ISBN: (纸本)9798331531140

The grid-forming battery energy storage system (BESS) plays important role in constructing new energy system. This paper presents a frequency domain modal-based stability analysis of virtual synchronous generator (VSG) controlled BESS. Both ac and dc side interactive dynamics of the grid-tied inverter system are considered, by establishing a hybrid ac/dc impedance network. Then, the frequency domain modal analysis (FMA) method for networked converter systems is applied to the BESS system, covering the eigen-sensitivity from the node level to parameter level. Using this method, key parameters that influence the BESS system's weakly/negative damping modes most can be better analyzed and identified. The analysis results are validated via the time-domain simulations. © 2024 IEEE.

关键词： Frequency domain analysis

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Optimized Adaptive Three-Phase Active Inductance Considering Multiple Factors 2

Optimized Adaptive Three-Phase Active Inductance Considering...

引用

2nd IEEE International Power Electronics and Application Symposium, PEAS 2023

作者： Shen, Longling Zhu, Guorong Liu, Feng Wang, Haoran Wang, Qian School of Automation Wuhan University of Technology Wuhan China Yantai Power Supply Company State Grid Shandong Electric Power Company Yantai China Three Gorges Intelligent Control Technology Co. Ltd R&d Center Wuhan China

ISBN: (纸本)9798350313765

Based on the topology of active inductance, an optimized adaptive three-phase active inductance control strategy considering multiple factors is proposed, and the proposed optimized adaptive active inductance is applied to the grid-side filtering of the variable frequency speed motor drive system to replace the passive inductor. Compared with the adaptive control based on grid-side current THd, this paper adds a dC bus current ripple adaptive control loop and a working condition judgment loop on this basis, which can not only further reduce the 100Hz and 200Hz harmonics generated under unbalanced working conditions, but also reduce the third harmonic on the grid-side, thereby further improving power quality. Through the dynamic characteristics simulation and comparison experiments of multiple control strategies, it can be seen that the optimized adaptive three-phase active inductor reduces the grid-side current THd and dC bus current ripple under different working conditions.4 © 2023 IEEE.

关键词： harmonic suppression optimize adaptive control power quality three-phase active inductor

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Low-Frequency Structure-Borne Noise Identification Based on FastICA-WPA Algorithm 8

Low-Frequency Structure-Borne Noise Identification Based on ...

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8th IEEE International Conference on Advanced robotics and Mechatronics, ICArM 2023

作者： Liu, Qiang Zhu, Jianxin Sunward Intelligent Equipment Co. Ltd. National Enterprise R&D Center Hunan Research Center of Geotechnical Construction Equipment and Control Engineering Changsha410100 China Central South University State Key Laboratory for High Performance Complex Manufacturing Changsha410100 China

ISBN: (纸本)9798350300178

Low-frequency structure-borne noise in enclosed space is easy to produce booming sensation, which seriously affects the auditory comfort. But its sources are complex and the transmission path is strongly coupled, meanwhile it is difficult to be directly measured by experiments, so making identification difficult. To address the problem of decoupling multi-source mixed signals, this paper proposes a low-frequency structure-borne noise identification method based on FastICA-WPA algorithm. Using FastICA (Fast algorithm of Independent Component Analysis) algorithm to identify the structure-borne noise components in single-channel noise, then WPA (Wavelet Packet Analysis) method is applied to identify the low-frequency components of structure-borne noise. Finally decouple the contribution of low-frequency structure-borne noise. This method is applied to an intelligent excavator cab. The correctness of the method is verified by applying vibration signal correlation analysis. The identification algorithm lays the foundation for developing a low-frequency structure-borne noise control strategy. © 2023 IEEE.

关键词： Independent component analysis

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T-KMGA a Two-Stage Approach for Collaborative Task Allocation with Air-Sea Heterogeneous Autonomous Unmanned systems

T-KMGA a Two-Stage Approach for Collaborative Task Allocatio...

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International Conference on Guidance, Navigation and control, ICGNC 2024

作者： Chen, Xinyu Qi, Juntong Peng, Yan Ping, Yuan Wu, Chong Wang, Mingming Institute of Artificial Intelligence Shanghai University Shanghai China Technology Co. Ltd. R&D Center Hainan China Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System Institute of Electrical and Information Engineering Tianjin University Tianjin China

ISBN: (纸本)9789819622634

This paper introduces a two-stage method, combining K-means++ and a modified genetic algorithm (T-KMGA), aimed at simplifying collaborative task allocation complexity and enhancing operational efficiency within heterogeneous autonomous task allocation unmanned systems. The proposed T-KMGA constructs a solution for task allocation through two stages: task clustering and path planning. In the first stage, we develop a modified K-means++ clustering model sensitive to unmanned aerial vehicle (UAV) endurance radii to tackle the increasing complexity of task allocation as the scale of tasks grows. In the second stage, we propose a modified genetic algorithm to plan paths for multiple UAVs and a single unmanned surface vehicle (USV) to minimize the execution time of cooperative tasks. We adopt a virtual node encoding method to solve the multiple UAV task allocation problem in the second stage. The effectiveness of the proposed approach is assessed through simulation experiments. The results demonstrate that the proposed method can significantly reduce task execution time and computational consumption, especially in large-scale task scenarios. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Antennas

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