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Mobile Observation Point Calculation and Meter Reading Based on the Digital Twin Model of Substations 24

Mobile Observation Point Calculation and Meter Reading Based...

引用

2024 International Conference on Industrial Automation and Robotics, IAR 2024

作者： Zhang, Yubo Zhang, Wei Lu, Yufeng Liu, Xu Huang, Chengwei Electric Power Research Institute of Guangxi Power Grid Co. Guangxi Key Laboratory of Intelligent Control and Operation and Maintenance of Power Equipment Guangxi Nanning China Electric Power Research Institute of Guangxi Power Grid Co. Guangxi Nanning China Southern Power Grid Research Institute Co. Ltd. Guangdong Guangzhou China Hezhou Power Supply Bureau of Guangxi Power Grid Co. Ltd. Guangdong Hezhou China

ISBN: (纸本)9798400711268

With the development of the power system, the number of substation equipment continues to increase, and the use of intelligent mobile robots to replace traditional manual inspection methods is a trend, which can improve inspection efficiency and stability, and reduce the operation and maintenance costs of substations. However, in the current mobile robot inspection process, to ensure that meter readings are not affected by factors such as lighting and the observation angle of the gimbal, operators need to pre-adjust the corresponding observation points for each device to be observed, resulting in a significant workload for debugging. To reduce the extensive debugging time invested by staff in the early stages, this paper proposes a method for robot meter reading without preset positions based on a digital twin model of the substation. The positions of equipment are marked in the digital twin model and sent to the mobile robot, which then calculates the optimal observation route autonomously. An RGBD camera is used to obtain the point cloud of the meter, and the normal vectors of the point cloud are extracted to calculate the corresponding optimal observation position and gimbal angle. Subsequently, image processing methods are employed to obtain the meter reading. Finally, the experiment results show that the proposed method can reduce the workload of manual debugging in substation inspection and improve the stability and accuracy of meter readings. © 2024 Copyright held by the owner/author(s).

关键词： Mobile robots

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A Method for Solving Transformer Load Eigenvalues and Weights 10

A Method for Solving Transformer Load Eigenvalues and Weight...

引用

10th International Forum on Electrical Engineering and Automation, IFEEA 2023

作者： Li, Rui Zhang, Lei Chen, Liangyuan Zhao, Jian Electric Power Research Institute of Guangxi Power Grid Co. Ltd Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Guangxi Power Grid Equipment Monitoring and Diagnosis Engineering Technology Research Center Nanning China

ISBN: (纸本)9798350309379

This thesis discloses a method for solving transformer load eigenvalues and weights, comprising processing of transformer load data, load analysis, extraction of eigenvalues, and solving for weights. The load analysis includes fitting algebraic polynomials of functions, residual plot validation, and F and R tests. Due to the diversity and time-varying nature of transformer loads, which leads to increased transformer losses, the analysis of transformer loads is carried out to solve this problem. Due to the complexity of the time-varying nature and diversity, there is no good solution at home or abroad, and there are disadvantages such as low accuracy, complex methods and relying mainly on the subjective judgement of the decision maker. The analysis of the load lies mainly in the analysis of eigenvalues and weights, and the method in this thesis starts with these two parts of the analysis in a simple way, using residual plots, F and R tests to assist in validating the algebraic polynomial of the fitted function to improve accuracy. The extracted eigenvalues best represent the stable value of output power in that typical subinterval as the mean of the load data. The use of a comprehensive subjective and objective weighting method takes into account the subjective judgement of the decision maker, supplemented by practical experience and combined with the actual situation, but also allows for objectivity, based on a solid foundation of mathematical model theory, so that subjectivity and objectivity are combined to ensure the reliability and practicality of the weights The weights in the method of this thesis refer to the proportion of the eigenvalues within each typical subinterval that are within the overall interval. © 2023 IEEE.

关键词： Load Eigenvalues low accuracy proportion

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Modeling method of transformer sensor communication model based on intelligent algorithm 10

Modeling method of transformer sensor communication model ba...

引用

10th International Forum on Electrical Engineering and Automation, IFEEA 2023

作者： Yi, Chenying Zhou, Yangjun Electric Power Research Institute of Guangxi Power Grid Co. Ltd Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Guangxi Power Grid Equipment Monitoring and Diagnosis Engineering Technology Research Center Nanning China

ISBN: (纸本)9798350309379

In this paper, a modeling method of sensor communication model of distribution transformer based on intelligent algorithm is studied. By this method, the reliability of distribution transformer can be improved, thus the reliability of distribution network with distributed energy access can be improved. This paper includes communication model establishment and solution, improved communication model establishment, improved communication model solution, improved communication model verification and comparison. As the test time becomes longer, the sensor itself will heat up, which will lead to the temperature rise of the surface and its surrounding environment. The traditional communication model does not take these excellent factors into account, and ignores the AC characteristics based on the DC characteristics. The improved communication model of the method in this paper takes into account the influence of temperature, taking into account both DC characteristics and AC characteristics, and accurately calculates the use limit temperature of the sensor, thus improving the reliability. The methods of error and goodness-of-fit test show that the method is far superior to the traditional methods. © 2023 IEEE.

关键词： Distributed energy access Distribution transformer Establishment of communication model Genetic algorithm Reliability of distribution network

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Analysis of a New Method for Evaluating Lightning Trip-Out Fault Rate in Active Distribution Networks

Analysis of a New Method for Evaluating Lightning Trip-Out F...

引用

2024 International Conference on Artificial Intelligence and power Systems, AIPS 2024

作者： Chen, Henglong Li, Chang Bai, Juan Zou, Yu Huang, Zhidu Mo, Honghuai Wang, Deyin Liao, Junming Xie, Zhenjun Wang, Ming Qinzhou Power Supply Bureau of Guangxi Power Grid Co. Ltd. Qinzhou535019 China Electric Power Research Institute of Guangxi Power Grid Co. Ltd. Nanning530023 China Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Nanning530023 China

ISBN: (纸本)9798350392210

In this paper, a simulation study of the lightning-induced overvoltage protection by line surge arresters in the overhead transmission line is presented, using the electromagnetic transient program ATP-EMTP. The simulation results show that the overhead transmission line can be protected from the lightning-induced overvoltage by the installation of line surge arresters. Arresters and grounding resistance of transmission line can influnce the lightning protection effects. To lower tower grounding resistance can reduce the density of line arrester installation. With the widespread adoption of distributed photovoltaic (PV) power sources, the assessment of lightning strike risks in active distribution network systems has garnered increasing attention. Traditional distribution network fault location diagnosis, risk assessment, and disaster prevention strategies are no longer suitable for the operational needs of new distribution networks, and adjustments need to be made based on operational characteristics. This paper elaborates on a comprehensive method for assessing lightning strike risks that considers both the PV side and the line side, with a focus on analyzing the lightning strike-induced flashover rate on the line side and the resulting fault rate in the PV system. By combining simulation models with actual data, this method provides a scientific assessment tool for enhancing the lightning protection capabilities of active distribution network systems. © 2024 IEEE.

关键词： Flashover

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Calculation and Analysis Method for Distribution Network Fault Location Based on Improved Differential Evolution Algorithm 5

Calculation and Analysis Method for Distribution Network Fau...

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5th International Conference on Computer Information Science and Artificial Intelligence, CISAI 2022

作者： Zhou, Yangjun Yi, Chenying Gao, Like Ouyang, Jianna Zhang, Wei Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Electric Power Research Institute of Guangxi Power Grid Co. Ltd Nanning530023 China Guangxi Power Grid Co. Ltd Nanning530023 China

ISBN: (纸本)9781510662520

Distribution network has complicated grid structure and various kinds of faults，which make the current measures hard to accurately locate fault zones in field operation. This paper proposes a differential evolutionary algorithm to locate the fault based on the transient wave record data from the distribution network, using the mechanism of cooperative coevolution with penalty factor to optimize the solution set and punishment factor. The simulation result shows that the proposed method has good convergence and fault-tolerant ability when single point or multi-points fault occurs in the distribution network. In addition， it can provide important technical support for the fault position in the distribution network based on the transient wave data. © 2023 SPIE.

关键词： Electric power distribution

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EV Charging Load Forecasting Method Considering Time-of-Use Price and Meteorological Factors 7

EV Charging Load Forecasting Method Considering Time-of-Use ...

引用

7th International Conference on power and Energy Applications, ICPEA 2024

作者： Li, Guangxiao Yang, Yilu Wang, Chunyi Xu, Ziyu Wang, Yue Liu, Yutian State Grid Jining Power Supply Company Development Planning Department Jining China State Grid Shandong Electric Power Company Development Planning Department Jinan China Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

ISBN: (纸本)9798350356113

The randomness of load fluctuations at electric vehicle (EV) charging stations presents a significant challenge for the accurate load forecasting. Considering time-of-use (TOU) price and meteorological factors, EV charging load forecasting method for EV charging station is proposed. First, the factors affecting charging load are analyzed using the Pearson correlation coefficient and the maximum information coefficient (MIC). key factors such as TOU price, temperature, weekday type, and recent historical load data are determined. Next, convolutional neural network (CNN) is used to extract important features and capture complex nonlinear relationships from key factors. Finally, the extracted features are processed by gated recurrent unit (GRU) network to forecast charging load at different time scales. Case study is conducted using load data from EV charging station with a capacity of 1800 kW. The results demonstrate that the CNN-GRU model significantly improves forecasting accuracy at 4h, 24h, 72h, and 168h forecasting lengths compared to other models. © 2024 IEEE.

关键词： Charging stations

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Study on Short-circuit Withstand Capacity of Transformer Windings in Hot State 10

Study on Short-circuit Withstand Capacity of Transformer Win...

引用

10th International Forum on Electrical Engineering and Automation, IFEEA 2023

作者： Zhang, Lei Li, Rui Chen, Liangyuan Zhao, Jian Guangxi Power Grid Equipment Monitoring and Diagnosis Engineering Technology Research Center Electric Power Research Institute of Guangxi Power Grid Co. Ltd Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Nanning China

ISBN: (纸本)9798350309379

With the wide application of Epoxy-bonded continuously transposed conductors (CTCs), the mechanical strength of transformer windings has been effectively improved. However, the mechanical strength of CTCs decreases in the hot state. In this paper, the stability of the coil in the transformer winding is analyzed, and the amplitude instability model of single conductor and CTCs is established. The winding short-circuit withstand capacity test platform under hot state is designed, and the experimental design ideas and schemes are introduced in detail. The short circuit test at 20°C-100°C was carried out, and the test results showed that the mechanical strength and ability to withstand short circuit of the winding at high temperature were reduced. The research results can provide an important basis for the evaluation of transformer short circuit withstand capacity in hot state. © 2023 IEEE.

关键词： CTCs hot state short-circuit withstand capacity transformer

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An Effective Mesh Optimization Strategy for Oil Immersed Transformer Thermal Fluid Field Calculation 11th

An Effective Mesh Optimization Strategy for Oil Immersed Tra...

引用

11th Frontier Academic Forum of Electrical Engineering, FAFEE 2024

作者： Zhang, Lei Li, Rui Chen, Liangyuan Sun, Zhiyuan Electric Power Research Institute of Guangxi Power Grid Co. Ltd Guangxi Nanning530023 China Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Guangxi Nanning530023 China Guangxi Power Grid Equipment Monitoring and Diagnosis Engineering Technology Research Center Guangxi Nanning530023 China

ISBN: (纸本)9789819788279

A transformer thermal fluid field mesh optimization generation method based on the calculation results difference feedback is proposed. The number of meshes obtained by the local mesh refinement optimization based on the difference distribution feedback of results is 1.972 million, which is reduced to 72.7% of the number of meshes obtained based on the global refinement method. A temperature rise test platform is built in which the windings have embedded optical fiber temperature measurement system, and based on the test results under rated condition, the absolute errors between the calculated hot spots of HV and LV windings and the test values are 0.81% and 0.40%, respectively, which verify the effectiveness of the method. The thermal fluid field calculation mesh optimization generation method can reduce the number of calculation meshes while ensuring the calculation accuracy, and can provide a reference for mesh optimization control in transformer thermal fluid field calculation. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Mesh generation

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Nonlinear Vibration Model of Transformer Windings and Its Application in Short-Circuit Axial Strength Evaluation 4th

Nonlinear Vibration Model of Transformer Windings and Its Ap...

引用

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

作者： Zhang, Lei Li, Rui Chen, Liangyuan Pan, Shaoming Electric Power Research Institute of Guangxi Power Grid Co. Ltd Nanning530023 China Guangxi Power Grid Equipment Monitoring and Diagnosis Engineering Technology Research Center Nanning530023 China Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Nanning530023 China

ISBN: (纸本)9789819973927

The transformer winding produces strong axial vibration under the short-circuit condition, which affects the strength. In order to deeply study the short circuit nonlinear vibration characteristics of the winding and its influence on the axial strength, the nonlinear vibration model of the winding is established first and the calculation method of dynamic compression force of windings, spacers, and clamping rings as well as axial bending stress of conductor is proposed;Then the axial strength of a SZ-50,000/110 kV transformer is evaluated and compared with the traditional static calculation results;The results show that the calculated compressive forces, the stresses on clamping rings and axial bending stress from the dynamic assessment are little bit higher than that of the static assessment. The model and calculation method proposed in this paper are of great significance for improving the evaluation level of transformer short-circuit strength. © 2024, Beijing Paike Culture Commu. Co., Ltd.

关键词： power transformers

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Unbalanced few-shot classification based on ME-MAML framework 43

Unbalanced few-shot classification based on ME-MAML framewor...

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43rd Chinese control Conference, CCC 2024

作者： Liao, Zherun Lv, Zheng Sun, Qiao Zhao, Jun Dalian University of Technology Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian116024 China Electric Operations Control Center State Grid Dalian Power Supply Company Dalian China

ISBN: (纸本)9789887581581

Aiming at the few-shot problem of lack of sufficient samples and uneven samples, which is common in medical image classification tasks, this paper proposes a meta-learning framework ME-MAML (Medical ModelAgnostic Meta-Learning) for few-shot medical image classification tasks. The framework aims to train a set of parameters with good generalization performance for the multi-class medical image classification task by learning the base class of medical images, and complete the generalization for the new class of medical image classification task by learning a small number of new classes of medical images. ME-MAML improves the MAML (Model-Agnostic Meta-Learning) meta-learning framework from the aspects of the feature extraction network, the loss function and the algorithmic framework, which makes the framework more suitable for few-shot medical image classification tasks. The experimental results demonstrate that for few-shot medical image classification task, the framework has better classification performance compared to supervised learning frameworks as well as advanced meta-learning frameworks. © 2024 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Contrastive Learning

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