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7th International Conference on Electric power Equipment - Switching Technology, ICEPE-ST 2024

作者： You, Yimin Wang, Xiankun Dai, Dongyun Zhuo, Kaicai Wang, Xu School of Electrical Engineering and Automation Xiamen University of Technology Xiamen Key Laboratory of Frontier Electric Power Equipment and Intelligent Control Xiamen China

ISBN: (纸本)9798350388947

The current rapid development of China's power transmission and transformation industry, inflatable switchgear has excellent environmental adaptability and small size, in the transmission and distribution network has been widely used. In order to further enhance the application range of inflatable cabinets, it is important to optimize the insulation performance of miniaturized switchgear. In this paper, electrostatic field simulation of 40.5kV inflatable switchgear based on the finite element method is carried out to judge the internal electric field distribution. Simulate and analyze the potential distribution and electric field strength distribution under the operating condition of the circuit breaker of the inflatable switchgear. The simulation results show that the electric field of sulfur hexafluoride in the outer shell of the inflatable switchgear is more concentrated near the poles, and the maximum value of the electric field reaches 78.2kV/mm, which exceeds the breakdown strength of the sulfur hexafluoride medium by 9kV/mm. Subsequently, the problem of excessive localized field strength is solved by studying the effects of conditions such as the length of the metal shielding ring and the radius of the metal crimp on the shielding effect. According to the simulation data, maintaining the volume and basic layout of the existing inflatable switchgear cabinet unchanged, after adding the optimized grounded metal shielding ring, the field strength at the pole and shell can be reduced to less than 9kV/mm, which meets the insulation requirements. The research results of this paper can provide theoretical guidance for the optimal design of the insulation of inflatable switchgear. © 2024 IEEE.

关键词： Sulfur hexafluoride

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Research on Lightweighting of Secondary Cables Over Door in Instrumentation Room of Segmented Isolation Cabinet 7

Research on Lightweighting of Secondary Cables Over Door in ...

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7th International Conference on Electric power Equipment - Switching Technology, ICEPE-ST 2024

作者： Zhao, Jing Wang, Xu Dai, Dongyun You, Yimin Cai, Ning Tu, Di School of Electrical Engineering and Automation Xiamen University of Technology Xiamen Key Laboratory of Frontier Electric Power Equipment and Intelligent Control Xiamen China

ISBN: (纸本)9798350388947

In order to solve the problems such as cable not easy to bundle and difficulty to open and close the instrument room door caused by too much secondary cables passing through the instrument room of intelligent miniaturized switchgear cabinet, this paper takes the secondary wiring diagram of intelligent miniaturized longitudinal rotary/shift-open sectional isolation cabinet installed in 220kV substation of a certain place as an entry point, analyzes the signal categories, connection methods, signal flow direction among different types of intelligent electronic device (IED), sensors and other components with the terminal internal wiring mode of the instrumentation room. Under the condition of keeping the function of the wiring diagram unchanged and conforming to the wiring regulations, the optimized design of the secondary cable of the instrumentation room door line of the switchgear cabinet is completed by adjusting the space arrangement of the IED and terminals, optimizing the redundant junction, and integrating the design of parts and components by other technical means. After optimization, the total number of secondary cables in the instrument room of the sectional isolation cabinet is reduced from 181 to 97, and the overall optimization rate reaches 46%. This research result can provide reference for intelligent miniaturized switchgear cabinet secondary cable lightweight design. © 2024 IEEE.

关键词： Electric switchgear

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Research and Application of Partial Discharge Identification Method of Switchgear Based on Joint Feature Collocation GBDT 7

Research and Application of Partial Discharge Identification...

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7th International Conference on Electric power Equipment - Switching Technology, ICEPE-ST 2024

作者： Dai, Dongyun Lin, Yuji You, Yimin Sang, Zhongqing Liao, Quanchang Tu, Yuanting School of Electrical Engineering and Automation Xiamen University of Technology Xiamen Key Laboratory of Frontier Electric Power Equipment and Intelligent Control Xiamen China

ISBN: (纸本)9798350388947

The audio signal in the running process of the switchgear contains a lot of operating state information, which is of great significance to the monitoring of the internal insulation fault and abnormal state. In order to accurately identify partial discharge signals and non-partial discharge signals from audio signals collected in the complex environment of switching station, a method of feature extraction and recognition of partial discharge signals based on joint feature and gradient lifting decision tree (GBDT) is proposed. Firstly, the information distribution of partial discharge signal and non-partial discharge signal in time domain, frequency domain and time-frequency domain is analyzed, and corresponding features are extracted to form joint features. Then, GBDT is used to train the model and complete the recognition. Finally, the recognition method is verified, and various combinations are compared with common features and support vector machine (SVM). The recognition accuracy of combined features with GBDT reaches 100%. Based on this method, an online monitoring system is designed, and the audio recording and partial discharge identification results are displayed in the WeChat mini program. The research method and the system designed in this paper can be used for the online analysis and detection of the audio signal of the switchgear, which has certain engineering application value. © 2024 IEEE.

关键词： Audio recordings

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Optimization Strategy for Virtual Energy Storage of Electric Vehicles to Participate in Multiple Ancillary Services 5

Optimization Strategy for Virtual Energy Storage of Electric...

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5th International Conference on Clean Energy and Electric power engineering, ICCEPE 2024

作者： Guo, Qi Gu, Haohan Zhao, Yifei Tu, Liang Chen, Qifang Cai, Haiqing Chen, Wei Chen, Zhihao Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou510663 China Csg Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou510663 China School of Electrical Engineering Beijing Jiaotong University Beijing100044 China

ISBN: (纸本)9798350390315

When EVs participate in multiple ancillary services of the power grid, due to the lack of a unified management scheduling plan, various ancillary service demands compete for limited energy storage resources. This would lead to conflicts when the virtual energy storage of EV participates in the regulation of multiple ancillary services. In order to solve the above problems, a reasonable and feasible optimization strategy for virtual energy storage of EVs is formulated to alleviate the conflict problems of ancillary services. The validity of the proposed method is verified by simulation cases. © 2024 IEEE.

关键词： control strategies electric vehicles multiple auxiliary services

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Distributionally Robust Scheduling for Benefit Allocation in Regional Integrated Energy system with Multiple Stakeholders

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Journal of Modern power systems and Clean Energy 2024年第5期12卷 1631-1642页

作者： Qinglin Meng Xiaolong Jin Fengzhang Luo Zhongguan Wang Sheharyar Hussain the Comprehensive Service Center State Grid Tianjin Electric Power CompanyTianjin 300010China the Key Laboratory of Smart Grid of Ministry of Education School of Electrical and Information EngineeringTianjin UniversityTianjin 300072China the School of Electrical Engineering Tiangong UniversityTianjin 300387China the Key Laboratory of Smart Energy&Information Technology of Tianjin Municipality Tianjin 300072China the Institute of Marine Electronic and Intelligent System Ocean CollegeZhejiang UniversityZhoushanChina

A distributionally robust scheduling strategy is proposed to address the complex benefit allocation problem in regional integrated energy systems(RIESs)with multiple stakeholders.A two-level Stackelberg game model is established,with the RIES operator as the leader and the users as the *** considers the interests of the RIES operator and demand response users in energy *** leader optimizes time-of-use(TOU)energy prices to minimize costs while users formulate response plans based on prices.A two-stage distributionally robust game model with comprehensive norm constraints,which encompasses the two-level Stackelberg game model in the day-ahead scheduling stage,is constructed to manage wind power ***-Kuhn-Tucker(KKT)conditions transform the two-level Stackelberg game model into a single-level robust optimization model,which is then solved using column and constraint generation(C&CG).Numerical results demonstrate the effectiveness of the proposed strategy in balancing stakeholders'interests and mitigating wind power risks.

关键词： Regional integrated energy system(RIES) distributionally robust scheduling Stackelberg game uncertainty demand response

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Swarm-Based Dynamic Coverage of Multi-ASV systems in the Presence of Measurement Noises

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IEEE Transactions on Vehicular Technology 2025年第5期74卷 7237-7250页

作者： Liu, Lu Jiao, Shijian Han, Bing Li, Tieshan Peng, Zhouhua Dalian Maritime University School of Marine Electrical Engineering Dalian116026 China Dalian Key Laboratory of Swarm Control and Electrical Technology for Intelligent Ships Dalian116026 China State Key Laboratory of Maritime Technology and Safety Dalian116026 China Shanghai Ship and Shipping Research Institute National Engineering Research Center of Ship & Shipping Control System Shanghai200135 China University of Electronic Science and Technology of China School of Automation Engineering Chengdu611731 China

This paper is concerned with the dynamic coverage of multiple autonomous surface vehicles (ASVs) in the presence of static and dynamic obstacles, limited communication distance, and measurement noises. A modular control method including planning, guidance, and control is proposed. At the planning level, a swarm-based dynamic coverage strategy is developed to achieve the coverage of a given domain. Both the collision avoidance and connectivity preservation issues are solved by using artificial potential fields. At the kinematic level, novel adaptive line-of-sight guidance laws are presented based on cascade extended state observers (CESOs), such that accurate guidance signals are given by compensating for time-varying sideslip angle and suppressing measurement noises. At the kinetic level, two CESOs are developed to estimate the internal model uncertainties and external environmental disturbance, and antidisturbance kinetic control laws are designed subsequently. The proposed CESOs overcome the noises sensitivity problem of classical observers, and thus facilitate the practical implementation under measurement noises. The input-to-state stability of the closed-loop system is confirmed by the Lyapunov theory and cascade stability theory. Simulation and hardware-in-the-loop experiment results are provided to demonstrate the effectiveness of the proposed swarm-based dynamic coverage method. © 1967-2012 IEEE.

关键词： Velocity measurement

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An Improved Solov2 Based on Attention Mechanism and Weighted Loss Function for electrical Equipment Instance Segmentation

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Computers, Materials & Continua 2024年第1期78卷 677-694页

作者： Junpeng Wu Zhenpeng Liu Xingfan Jiang Xinguang Tao Ye Zhang Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of EducationNortheast Electric Power UniversityJilin132012China School of Electrical Engineering Northeast Electric Power UniversityJilin132012China Baishan Power Supply Company State Grid Jilin Electric Power CoLtd.Jilin134300China

The current existing problem of deep learning framework for the detection and segmentation of electrical equipment is dominantly related to low *** of the reliable,safe and easy-to-operate technology provided by deep learning-based video surveillance for unmanned inspection of electrical equipment,this paper uses the bottleneck attention module(BAM)attention mechanism to improve the Solov2 model and proposes a new electrical equipment segmentation ***,the BAM attention mechanism is integrated into the feature extraction network to adaptively learn the correlation between feature channels,thereby improving the expression ability of the feature map;secondly,the weighted sum of CrossEntropy Loss and Dice loss is designed as the mask loss to improve the segmentation accuracy and robustness of the model;finally,the non-maximal suppression(NMS)algorithm to better handle the overlap problem in instance *** results show that the proposed method achieves an average segmentation accuracy of mAP of 80.4% on three types of electrical equipment datasets,including transformers,insulators and voltage transformers,which improve the detection accuracy by more than 5.7% compared with the original Solov2 *** segmentation model proposed can provide a focusing technical means for the intelligent management of power systems.

关键词： Deep learning electrical equipment attention mechanism weighted loss function

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A Binocular Vision-Based Method for Volume Measurement of Colloids

A Binocular Vision-Based Method for Volume Measurement of Co...

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2024 China Automation Congress, CAC 2024

作者： Liao, Binrong Li, Yuxuan Zhang, Hao Zhu, Cong Yang, Yongkuan School of Electrical Engineering and Automation Xiamen University of Technology Xiamen Key Laboratory of Frontier Electric Power Equipment and Intelligent Control Xiamen361024 China

ISBN: (纸本)9798350368604

Traditional binocular vision matching methods struggle to correctly match left and right colloid images due to the high reflectivity and textureless characteristics of colloid material surfaces, making effective volume detection difficult. To address this issue, we propose a binocular vision-based method for detecting the volume of dot-shaped colloids. First, to overcome the challenge of image edge extraction caused by specular reflection on colloid surfaces, we introduce an improved method for detecting and removing specular reflections. This method effectively detects and eliminates specular highlights on the colloid surface while restoring the surface color information, thereby enhancing edge detection accuracy. Next, we acquire the morphological characteristics of colloids from two perspectives (top view and side view) using binocular vision. Finally, we construct a mathematical model of the colloid volume based on its morphological characteristics and use a scale conversion factor to calculate the colloid volume. Experimental results show that the error precision of this volume measurement method is 4.52%, meeting the requirements of industrial production. © 2024 IEEE.

关键词： Binocular vision

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Research and Design of New Energy Dry-Type Transformer Prediction Device 2

Research and Design of New Energy Dry-Type Transformer Predi...

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2nd IEEE International Conference on Sensors, Electronics and Computer engineering, ICSECE 2024

作者： Lin, Zhangzheng Sang, Zhongqing Feng, Nairu He, Zewen School of Electrical Engineering and Automation Xiamen University of Technology Xiamen Key Laboratory of Frontier Electric Power Equipment and Intelligent Control Xiamen361024 China

ISBN: (纸本)9798350373646

The main problem in dry-type transformers for new energy applications is the frequent temperature changes, which can reach temperatures of up to 180°C in actual operation. Due to the different expansion coefficients between epoxy resin and copper rows in dry-type transformers, the sealing of epoxy resin will be destroyed, leading to serious consequences such as dry-type transformer fire and explosion. For this reason, this paper designs a new energy dry-type transformer prediction device for transformer temperature and partial discharge signal monitoring and fault alarm, and studies the application of high-frequency current transformer (HFCT) in partial discharge monitoring to achieve real-time monitoring of transformer operation status. Finite element simulation software was used to analyze a dry-type transformer's simulation model. The simulation data obtained were then verified through real experimental testing. In the real grid system, simulations were conducted to model turn-to-turn short-circuit faults. The aim was to validate the simulation results and determine the required monitoring devices. The effectiveness of different monitoring methods-HFCT (High-Frequency Current Transformer), ultrasonic, ultra-high-frequency (UHF), and ground wave detection-was compared. It was found that HFCT is more effective than the other three methods in monitoring dry-type transformers. © 2024 IEEE.

关键词： Partial discharges

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Multi-physics Based Temperature Distribution Simulation of HVAC Submarine Cable at Various Velocity 4th

Multi-physics Based Temperature Distribution Simulation of H...

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4th International Symposium on Insulation and Discharge Computation for power Equipment, IDCOMPU 2023

作者： Zhang, Zhen Zhou, Yuanxiang Chen, Jianning Li, Yuhang Dai, Yasong The Wind Solar Storage Division of State Key Laboratory of Power System and Generation Equipment School of Electrical Engineering Xinjiang University Urumqi830047 China State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100084 China

ISBN: (纸本)9789819974009

The temperature distribution of submarine cables is an important parameter reflecting its operation status. The acquisition of temperature distribution trends for submarine cables under varying seawater flow rates holds important engineering significance. In this paper, the geometric model is constructed using a 220 kV three-core AC armored submarine cable laid on the seabed. The simulation model of AC three-core submarine cable temperature field is proposed based on the coupling of electro-thermal-flow multi-physics field. Finally, the study investigates how the steady-state temperature distribution of submarine cables varies with different seawater flow velocities. The results show that the temperature is radially distributed at the seawater velocity of 0m/s, and the temperatures of different phase conductors are different by the relative position, which are 89.9 °C, 89.6 °C and 89.08 °C, respectively. As the seawater flow velocity increases, the heat taken away from the cable surface by convection increases. When the seawater flow velocity is 1 × 10−6m/s, 0.0001 m/s, 0.001 m/s, 0.001 m/s and 0.001 m/s, the maximum conductor temperatures are 69.5 °C, 44.6 °C, 38.5 °C, 33.6 °C and 32.7 °C, and the ampacity is 871.7 A, 1216 A, 1382.8 A, 1590.7 A and 1640.9 A, respectively. The simulation results can provide reference for submarine cable transmission engineering design. © 2024, Beijing Paike Culture Commu. Co., Ltd.

关键词： Temperature distribution

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