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检索条件"机构=State Key Laboratory of Intelligent Power Grid Protection and Operation Control"

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Construction and verification of a power simulation system middle platform based on domain driven design and microservices

Construction and verification of a power simulation system m...

引用

2023 International Conference on Artificial Intelligence, Systems and Network Security, AISNS 2023

作者： Guo, Qi Zhang, Jie Lu, Yuanhong Tu, Liang Guo, Haiping Luo, Hui Huang, Libin CSG Electric Power Research Institute Co. Ltd State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou510663 China National Energy Power Grid Technology RandD Centre Guangzhou510663 China State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid Guangzhou510663 China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou510663 China

ISBN: (纸本)9798400716966

Aiming at the problems of complex design, low scalability and low reusability of resources in the power simulation system, a middle-platform design scheme based on domain-driven design and microservice data is proposed. Through an in-depth study of domain-driven design theory and the characteristics of microservices, this paper proposes a middle-platform design scheme for the power simulation system based on exploring the structure of the power simulation system and the system domain-driven model, and combining the functional requirements and structural characteristics of the simulation software. Finally, this paper verifies that the middle-platform construction of the power simulation system based on domain-driven design and microservices has the characteristics of high scalability, high maintainability and high reusability of resources through the application and analysis of typical business scenarios of power simulation. © 2023 ACM.

关键词： Reusability

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Drone inspection path planning with self-organizing neural network of elastic Hebbian learning rule 4

Drone inspection path planning with self-organizing neural n...

引用

2024 4th International Conference on Artificial Intelligence and Industrial Technology Applications, AIITA 2024

作者： Li, Rui Zhang, Lei Yi, Chenying Lu, Yufeng Chen, Liangyuan Su, Yi Huang, Wei Guangxi Key Laboratory of Intelligent Control and Operation and Maintenance of Power Equipment Electric Power Research Institute Guangxi Power Grid Co. Ltd. Guangxi Nanning530023 China Guangxi Power Grid Equipment Monitoring and Diagnosis Technology Innovation Center Electric Power Research Institute Guangxi Power Grid Co. Ltd. Guangxi Nanning530023 China

As the scale of the power grid continues to expand, inspection scenarios become increasingly complex, and inspection and maintenance work in the power industry faces huge challenges. The traditional manual inspection mode has problems such as high cost, low efficiency, and poor safety. Using electric drones to inspect all equipment nodes in the area can effectively reduce operation and maintenance costs and ensure personnel safety. As a key technology to realize autonomous power inspection, UAV path planning needs to overcome difficulties such as long solution time and intersection of inspection paths. Therefore, this article conducts research on UAV path planning algorithms for large-scale power inspections, which is of great significance to improving the efficiency of power inspections. To avoid the occurrence of path intersections and improve the path planning effect, this paper uses the convex hull property in graph theory to design elastic Hebbian learning rules and proposes a self-organizing neural network algorithm based on elastic Hebbian learning rules. © Published under licence by IOP Publishing Ltd.

关键词： Drones

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A state evaluation method for oil-impregnated paper bushing based on dielectric modulus and k-nearest neighbor algorithm 3

A state evaluation method for oil-impregnated paper bushing ...

引用

3rd International Conference on Energy, power and Electrical Technology, ICEPET 2024

作者： Zhang, Yiyi Cheng, Meng Su, Yi Pan, Shaoming Zhang, Wei Xia, Xiaofei Feng, Bo Electric Power Research Institute of Guangxi Power Grid Co. Ltd. Guangxi Key Laboratory of Intelligent Control and Operation and Maintenance of Power Equipment Guangxi Nanning530023 China Electric Power Research Institute of Guangxi Power Grid Co. Ltd. Guangxi Power Grid Equipment Monitoring and Diagnosis Engineering Technology Research Center Guangxi Nanning530023 China

ISBN: (纸本)9798350352658

The deterioration of the oil-immersed paper bushing can lead to a decrease in its insulation performance. Moisture intrusion and thermal aging are important reasons for the insulation degradation of the bushing. Due to its advantages of non-destructive measurement and strong anti-interference ability, the frequency domain spectroscopy (FDS) method has become a powerful tool for evaluating the state of oil-paper insulation. However, the relaxation polarization information of the FDS curve in the low-frequency region will become difficult to identify and extract. Therefore, this article extracts the characteristic parameter of dielectric modulus and combines it with the K-nearest neighbor (K-NN) algorithm to achieve the status evaluation of the OIP bushing, and conducts method validation on three field bushings. The results show that the evaluation accuracy of the proposed method exceeds 83%, proving the effectiveness of the proposed method. © 2024 IEEE.

关键词： Bushings

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Distance protection Setting Scheme for the Loss of Main protection in High-Voltage power grid

Distance Protection Setting Scheme for the Loss of Main Prot...

引用

2023 International Conference on power System Technology, powerCon 2023

作者： Zhang, Yongjie Cong, Wei Tang, Yi Li, Yudun Li, Congcong Wang, Anning Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Jinan China State Grid Shandong Electric Power Company Jinan China State Grid Shandong Electric Power Research Institute Jinan China

ISBN: (纸本)9798350300222

With the continuous construction and development of high-voltage power grids, strategies such as dual redundancy configuration of main protection have been proposed successively to ensure reliable operation of the protection. However, certain abnormal conditions, such as loss of communication power supply, failure of both main protection channels, total station DC power loss (due to fire, etc.), theoretically cannot be completely ruled out in terms of their potential occurrence. According to the power system operation regulations, when the main protection is lost, it is necessary to trip the line, which affects the normal operation of the power grid and disrupts production and daily life. Therefore, a distance protection setting scheme for the loss of main protection in high-voltage power grids has been proposed. When abnormal operating conditions occur, the proposed scheme defines the emergency protection boundary and identifies the protective devices that require protection value modifications. Following the proposed principles, necessary adjustments will be made to the setting values of these protective devices. Using PSCAD/EMTDC to construct a simulation model, the simulation results demonstrate that the proposed distance protection setting scheme in this paper does not require additional protective devices and effectively ensures the safe operation of the power grid under abnormal operating conditions. © 2023 IEEE.

关键词： Electric power system protection

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Identification of hidden danger discharges in transmission lines based on multi-scale convolutional neural network 3

Identification of hidden danger discharges in transmission l...

引用

2024 3rd International Conference on Smart grid and Green Energy, ICSGGE 2024

作者： Huang, Zhidu Huang, Wei Liu, Yinglong Chen, Yajuan Li, Shengdong Guangxi Key Laboratory of Intelligent Control and Operation and Maintenance of Power Equipment Electric Power Research Institute of Guangxi Power Grid Co. Ltd. Guangxi Zhuang Autonomous Region Nanning530023 China Nanning Power Supply Bureau of Guangxi Power Grid China Southern Power Grid Guangxi Zhuang Autonomous Region Nanning530021 China Beihai Power Supply Bureau of Guangxi Power Grid China Southern Power Grid Guangxi Zhuang Autonomous Region Beihai536006 China

The presence of hidden dangers in transmission lines poses a significant threat to the safe and stable operation of the power grid. Timely identification of these hidden dangers is crucial to simplify maintenance tasks for the operation department. This paper introduces a model based on a Multi-Scale Convolutional Neural Network (MSCNN) to identify the discharge types of hidden dangers in transmission lines. Initially, the Intrinsic Mode Functions (IMFs) of the hidden danger discharge signal measured from the transmission line are obtained through Variational Mode Decomposition (VMD). Subsequently, multi-scale time-frequency features within the IMFs are extracted by MSCNN. Finally, a Softmax classifier completes the task of identifying the type of hidden danger discharge. The training and testing results of the model demonstrate that its accuracy in identifying the four types of hidden dangers researched in this paper can reach 90.38%. © Published under licence by IOP Publishing Ltd.

关键词： Convolutional neural networks

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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...

引用

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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Multi-Component Mixed Oil with Transformer Typical Material Compatibility Analysis 5

Multi-Component Mixed Oil with Transformer Typical Material ...

引用

5th International Conference on power Engineering, ICPE 2024

作者： Liu, Ying Fu, Guofeng Li, Hongwei Ye, Wenyu Qin, Yekang Huang, Zhijian Chen, Liangyuan Guangxi Power Grid Co. Ltd. Guigang Power Supply Bureau Guigang China Chongqing University State Key Laboratory of Power Transmission Equipment Technology School of Electrical Engineering Chongqing China Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment Nanning China

ISBN: (纸本)9798331531140

Mixed insulation oil can complement the performance advantages of different oils and can be directly applied to existing mineral oil transformers without changing the transformer structure, which is an important development direction of high voltage and large capacity transformers. The compatibility study of mixed insulation oil and typical transformer materials has important significance for transformer design and operation. In this paper, we investigated the compatibility of multi-component mixed oil (MCMO) with typical transformer materials, and analyzed the changes in color, viscosity, relative dielectric constant, dielectric loss factor, volume resistivity, breakdown voltage, acid value, and interfacial tension parameters of MCMO before and after thermal aging. The results show that the MCMO has good compatibility with iron block, silicon steel sheet, enameled wire and epoxy plate, and the MCMO showed remarkable stability in kinematic viscosity, relative dielectric constant and breakdown voltage. But it has some compatibility problem with nitrile rubber. © 2024 IEEE.

关键词： Thermal aging

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Bayesian Probability intelligent Forecasting Model Based on Rainfall during Flood Season 5

Bayesian Probability Intelligent Forecasting Model Based on ...

引用

5th International Conference on Information Science, Parallel and Distributed Systems, ISPDS 2024

作者： Zeng, Peng Zhang, Wei Zhou, Yangjun Wei, Guohui Guangxi Meteorological Disaster Prevention Technology Center Nanning China Guangxi Power Grid Equipment Monitoring and Diagnosis Technology Innovation Center Electric Power Research Institute of Guangxi Power Grid Co. Ltd. Guangxi Key Laboratory of Intelligent Control and Operation and Maintenance of Power Equipment Electric Power Research Institute of Guangxi Power Grid Co. Nanning China Customer Service Center of Guangxi Power Grid Co. Ltd Nanning China

ISBN: (纸本)9798350352719

In order to make better use of the revised ensemble probability forecast based on the information of the historical prior probability precipitation distribution function, based on the Bayesian probability decision theory, this paper used the actual rainfall data from 1981 to 2010 in Xijiang River Basin and the European ensemble forecast products from April to September in 2016 as the prior information, and established Bayes based probability prediction model for heavy rain in Xijiang River Basin to correct the European ensemble probability prediction products and to carry out the grading test. Bayesian methods are more accurate than other methods, making it easier to establish predictive models. From the results of forecasting experiments, it can be seen that the ensemble probability forecasting product modified by the Bayesian method can improve the forecasting ability of heavy rain in flood season. Except for September, the Brier scores (BS) of other months in flood season within 24-72 hours are better than those of ensemble probability forecast, and the possibility of a false heavy rain forecast can be reduced to a certain extent;there is a monthly difference in the distribution of the true skill statistic (TSS) high score areas in pre-flood season: with the increase of precipitation intensity and scope from April to June, the scores of most river basins increase. In conclusion, this work can provide a reference for forecasters to carry out the prediction of heavy rainfall in the Xiiang River Basin. © 2024 IEEE.

关键词： Prediction models

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Active Support Performance Test of grid-connected Photovoltaic System Based on grid-forming control 3

Active Support Performance Test of Grid-connected Photovolta...

引用

3rd International Conference on intelligent power and Systems, ICIPS 2023

作者： Xi, Xinze Hu, Yun Xing, Chao Guo, Qi Xu, Shoudong Tu, Liang He, Peng Zhu, Yihua Su, Mingzhang Luo, Chao Yunnan Electric Power Research Institute Kunming China National Energy Power Grid Technology R&D Centre Guangzhou China State Key Laboratory of HVDC Electric Power Research Institute CSG 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)9798350328691

With the continuous increase penetration of new energy, the integration of grid-following (GFL) converter is prone to frequency stability issue, while the utilization of grid-forming (GFM) converter with active support capability has become an inevitable trend in development. In this paper, the model of grid-connected photovoltaic system using GFL/GFM control is established. The support characteristic of GFM is compared and analyzed in different testing scenarios with GFL as the reference: (1) Small disturbance test (2) Large disturbance test (3) Island capability test. Finally, the active support performance of the system is quantitatively analyzed based on corresponding evaluation indexes. ©2023 IEEE.

关键词： power converters

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Research on Construction of Dispatching Knowledge Model of power grid 5

Research on Construction of Dispatching Knowledge Model of P...

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5th International Conference on Energy, Electrical and power Engineering, CEEPE 2022

作者： Qing, Zheng Dai, Zemei Zhu, Nanyang Yang, Chunxiang Si, Xiaofeng Zhang, Kaifeng Southeast University School of Automation Nanjing China Nari CO.LTD & Nari Technology CO.LTD State Key Laboratory of Intelligent Power Grid Protection and Operation Control Nanjing China State Grid GanSu Electric Power Company Gansu China

ISBN: (纸本)9781665479059

With the construction of the new power market, the tasks of dispatching operation in the power grid become more frequent, and the scenes of dispatching operation are more complicated. The existing dispatching operation system and the technology of decision in power grid cannot meet the requirements. Therefore, this work establishes a knowledge model of power grid dispatching to provide an efficient decision-making tool. This work extracts the benefits of historical operation scenarios and the regulation of dispatching of power grid, and establishes a joint knowledge model of power grid dispatching based on mining and extracting the benefits of historical operation scenarios and the regulation of dispatching of power grid by big data analysis technology and natural language processing technology. The joint knowledge model is essential for dispatcher to formulate more reasonable dispatching operations, reduce the difficulty of decision-making and lower the requirements for dispatchers, which ensures the safe operation of the power grid. © 2022 IEEE.

关键词： Analytical models Decision making Dispatching power grids Natural language processing Data models Regulation

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