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High Voltage 2024年第4期9卷 930-938页

作者： Kai Yin Qihong Fan Jing Li Taqi ur Rahman Tianyin Zhang Ashish Paramane Xiangrong Chen School of Information and Electrical Engineering Hangzhou City UniversityHangzhouChina College of Electrical Engineering Zhejiang UniversityHangzhouChina State Grid Tianjin power Chengnan District supply company TianjinChina Electrical Engineering Department National Institute of TechnologySilcharAssamIndia

Ionic liquid(IL)as the dispersant can help disperse the organic nanofillers to improve the performance of epoxy resin ***,the effect of IL on the electrical properties of epoxy composites is not well *** comprehensive study consists of the preparation,material characterisation and systematical investigation of electrical properties of 1-Butyl-3-methylimidazole hexafluorophosphate-modified chitin fibre/epoxy *** findings show that introducing IL into a chitin/epoxy composite can minimise porosity defects and improve the compatibility between filler and ***,a high concentration of IL induces severe charge injection into chitin/epoxy composites and internal electric field *** addition of 0.75%–1.5%mass fraction IL results in maximum enhancement in the AC breakdown strength of the chitin/epoxy composite(by~71%)compared with the non-IL *** nonlinear conductivity and non-uniform charge injection phenomena of IL-modified composites can be attributed to the movement of radicals and anions due to the decomposition of *** this study,it is highly expected that the organic filler dispersion in the epoxy matrix can be optimised by tuning IL to improve the insulation properties.

关键词： composites composite filler

Distributed Photovoltaic Real-Time Output Estimation Based on Graph Convolutional Networks

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Journal of Shanghai Jiaotong university(Science) 2024年第2期29卷 290-296页

作者：陈利跃洪道鉴何星卢东祁张乾谢妮娜徐一洲应煌浩 State Grid Zhejiang Electric power Co. Ltd.Hangzhou 310007China State Grid Zhejiang Taizhou power supply company Taizhou 318000ZhejiangChina Department of Automation School of Electronic Information and Electrical EngineeringShanghai Jiao Tong UniversityShanghai 200240China

The rapid growth of distributed photovoltaic(PV)has remarkable influence for the safe and economic operation of power *** view of the wide geographical distribution and a large number of distributed PV power stations,the current situation is that it is dificult to access the current dispatch data *** to the temporal and spatial characteristics of distributed PV,a graph convolution algorithm based on adaptive learning of adjacency matrix is proposed to estimate the real-time output of distributed PV in regional power *** actual case study shows that the adaptive graph convolution model gives different adjacency matrixes for different PV stations,which makes the corresponding output estimation algorithm have higher accuracy.

关键词： distributed photovoltaic(PV) graph convolution network power estimation

Safety monitoring method for powerline corridors based on single‐stage detector and visual matching

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High Voltage 2024年第4期9卷 805-815页

作者： Jinheng Li Hanbo Zheng Peng Liu Yanshen Liang Feng Shuang Junjie Huang Guangxi Key Laboratory of power System Optimization and Energy Technology Guangxi UniversityNanningChina China Southern power Grid Guangxi power Grid company Ltd. NanningChina State Grid Hubei Electric power Research Institute WuhanChina

Effective monitoring and early warning of overhead power lines are critical for ensuring power supply stability and personnel ***,existing methods that rely solely on single vision or light detection and ranging(LiDAR)have limitations such as numerous invalid alarms,hardware equipment constraints,and lack of real-time monitoring *** article proposes an intelligent monitoring method for safety distance of the powerline corridor based on heterogeneous sensor ***,an optimised single-stage detector is designed to detect safety hazard *** the detector,the backbone network and the sample matching strategy are improved;in addition,the learning strategy is ***,the pose transformation relationship is obtained through the visual matching of prior LiDAR information and *** back projection transformation of 2D–3D is achieved according to the ***,a monocular camera-based end-to-end distance measurement scheme is proposed by combining 2D object information with coordinate transformation *** scheme is applied to the distance measurements from hazard objects to *** experimental results show that the optimisation method improves the detection accuracy and reduces the computational complexity of the ***,case experiments with continuous frame data verify the effectiveness of the safety distance monitoring scheme.

关键词： visual hardware matching

Energy Blockchain in Smart Communities: Towards Affordable Clean Energy supply for the Built Environment

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Energy Engineering 2024年第8期121卷 2313-2330页

作者： Mingguan Zhao Lida Liao Penglong Liang Meng Li Xinsheng Dong Yang Yang Hongxia Wang Zhenhao Zhang Electric power Research Institute State Grid Xinjiang Electric Power Co.Ltd.Urumqi830013China School of Energy and power Engineering Changsha University of Science&TechnologyChangsha410114China Kumul power supply company State Grid Xinjiang Electric Power Co.Ltd.Urumqi830013China Xinjiang Key Laboratory of Extreme Environment Operation and Detection Technology of power Transmission&Transformation Equipment Urumqi830013China

The rapid growth of distributed renewable energy penetration is promoting the evolution of the energy system toward decentralization and decentralized and digitized smart *** study was based on energy blockchain,and developed a dual-biding mechanism based on the real-time energy surplus and demand in the local smart grid,which is expected to enable reliable,affordable,and clean energy supply in smart *** the proposed system,economic benefits could be achieved by replacing fossil-fuel-based electricity with the high penetration of affordable solar PV *** reduction of energy surplus realized by distributed energy production and P2P energy trading,within the smart grid results in less transmission loss and lower requirements for costly upgrading of existing *** adopting energy blockchain and smart contract technologies,energy secure trading with a low risk of privacy leakage could be *** prototype is examined through a case study,and the feasibility and efficiency of the proposed mechanism are further validated by scenario analysis.

关键词： Solar PV smart community energy blockchain P2P energy trading smart grid affordable energy supply

A Disturbance Localization Method for power System Based on Group Sparse Representation and Entropy Weight Method

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Energy Engineering 2024年第8期121卷 2275-2291页

作者： Zeyi Wang Mingxi Jiao Daliang Wang Minxu Liu Minglei Jiang He Wang Shiqiang Li Changchun power supply company State Grid Jilin Electric Power Co.Ltd.Changchun130021China Economic and Technical Research Institute State Grid Jilin Electric Power Co.Ltd.Changchun130022China Key Laboratory of Modern power System Simulation and Control&Renewable Energy Technology Northeast Electric Power UniversityJilin132012China

This paper addresses the problem of complex and challenging disturbance localization in the current power system operation environment by proposing a disturbance localization method for power systems based on group sparse representation and entropy weight *** different electrical quantities are selected as observations in the compressed sensing *** entropy weighting method is employed to calculate the weights of different observations based on their relative disturbance ***,by leveraging the topological information of the power system and pre-designing an overcomplete dictionary of disturbances based on the corresponding system parameter variations caused by disturbances,an improved Joint Generalized Orthogonal Matching Pursuit(J-GOMP)algorithm is utilized for *** reconstructed sparse vectors are divided into three *** at least two parts have consistent node identifiers,the node is identified as the disturbance *** the node identifiers in all three parts are inconsistent,further analysis is conducted considering the weights to determine the disturbance *** results based on the IEEE 39-bus system model demonstrate that the proposed method,utilizing electrical quantity information from only 8 measurement points,effectively locates disturbance positions and is applicable to various disturbance types with strong noise resistance.

关键词： Disturbance location compressed sensing group sparse representation entropy power method GOMP algorithm

Real-Time Safety Behavior Detection Technology of Indoors power Personnel Based on Human Key Points

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Journal of Shanghai Jiaotong university(Science) 2024年第2期29卷 309-315页

作者：杨坚李聪敏洪道鉴卢东祁林秋佳方兴其喻谦张乾 State Grid Zhejiang Taizhou power supply company Taizhou 318000ZhejiangChina Department of Automation Shanghai Jiao Tong UniversityShanghai 200240China Zhejiang Huayun Information Technology Co. Ltd.Hangzhou 310012China

Safety production is of great significance to the development of enterprises and *** often cause great losses because of the particularity environment of electric ***,it is important to improve the safety supervision and protection in the electric power *** this paper,we simulate the actual electric power operation scenario by monitoring equipment and propose a real-time detection method of illegal actions based on human body key points to ensure safety behavior in real *** this method,the human body key points in video frames were first extracted by the high-resolution network,and then classified in real time by spatial-temporal graph convolutional *** results show that this method can effectively detect illegal actions in the simulated scene.

关键词： real-time behavior recognition human key points high-resolution network spatial-temporal graph convolutional network

Unreliability Tracing of power Systems for Identifying the Most Critical Risk Factors Considering Mixed Uncertainties in Wind power Output

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Protection and Control of Modern power Systems 2024年第5期9卷 96-111页

作者： Siying Zhao Changzheng Shao Jinfeng Ding Bo Hu Kaigui Xie Xueying Yu Zihan Zhu Hubei Electric power Planning Design and Research Institute Co.Ltd.Wuhan 430040China State Key Laboratory of power Transmis-sion Equipment Technology School of Electrical EngineeringChongqing UniversityChongqing 400044China State Grid Chengdu Electric power supply company Chengdu 610000China School of Electrical Engineering Si-chuan UniversityChengdu 610065China

For conventional power systems,the forced outage of components is the major cause of load *** tracing is utilized to allocate the total system load-shedding risk among individual components in ac-cordance with their different ***,critical components are identified and pertinent measures can be taken to improve system *** integra-tion of wind power introduces additional risk factors into power systems,causing previous unreliability tracing methods to become *** this paper,a novel unreliability tracing method is proposed that considers both aleatory and epistemic uncertainties in wind power output and their impacts on power system load-shedding ***,modelling methods for wind power output considering aleatory and epistemic uncertainties and component outages are ***,a variance-based index is proposed to measure the contributions of indi-vidual risk factors to the system load-shedding ***-nally,a novel unreliability tracing framework is devel-oped to identify the critical factors that affect power sys-tem *** studies verify the ability of the pro-posed method to accurately allocate load-shedding risk to individual risk factors,thus providing decision support for reliability enhancement.

关键词： Unreliability tracing epistemic uncer-tainty wind power multisource heterogeneous risk factors

A CNN-Based Single-Stage Occlusion Real-Time Target Detection Method

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Journal of Intelligent Learning Systems and Applications 2024年第1期16卷 1-11页

作者： Liang Liu Nan Yang Saifei Liu Yuanyuan Cao Shuowen Tian Tiancheng Liu Xun Zhao Rizhao power supply company State Grid Shandong Electric Power Company Rizhao China School of Automation Beijing Information Science and Technology University Beijing China

Aiming at the problem of low accuracy of traditional target detection methods for target detection in endoscopes in substation environments, a CNN-based real-time detection method for masked targets is proposed. The method adopts the overall design of backbone network, detection network and algorithmic parameter optimisation method, completes the model training on the self-constructed occlusion target dataset, and adopts the multi-scale perception method for target detection. The HNM algorithm is used to screen positive and negative samples during the training process, and the NMS algorithm is used to post-process the prediction results during the detection process to improve the detection efficiency. After experimental validation, the obtained model has the multi-class average predicted value (mAP) of the dataset. It has general advantages over traditional target detection methods. The detection time of a single target on FDDB dataset is 39 ms, which can meet the need of real-time target detection. In addition, the project team has successfully deployed the method into substations and put it into use in many places in Beijing, which is important for achieving the anomaly of occlusion target detection.

关键词： Real-Time Mask Target CNN (Convolutional Neural Network) Single-Stage Detection Multi-Scale Feature Perception

Image Processing for Denoising Using Composite Adaptive Filtering Methods Based on RMSE

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Open Journal of Applied Sciences 2024年第3期14卷 660-675页

作者： Yanlu Chen Ruijie Wang Puming Zong Da Chen Control Theory and Control Engineering College of Railway Transportation Hunan University of Technology Zhuzhou China Inner Mongolia power Group Xilingol Extra High Voltage power supply company Xilinhot China Inner Mongolia power Group Limited Liability company XilinGol power supply Branch Xilinhot China

As one of the carriers for human communication and interaction, images are prone to contamination by noise during transmission and reception, which is often uncontrollable and unknown. Therefore, how to denoise images contaminated by unknown noise has gradually become one of the research focuses. In order to achieve blind denoising and separation to restore images, this paper proposes a method for image processing based on Root Mean Square Error (RMSE) by integrating multiple filtering methods for denoising. This method includes Wavelet Filtering, Gaussian Filtering, Median Filtering, Mean Filtering, Bilateral Filtering, Adaptive Bandpass Filtering, Non-local Means Filtering and Regularization Denoising suitable for different types of noise. We can apply this method to denoise images contaminated by blind noise sources and evaluate the denoising effects using RMSE. The smaller the RMSE, the better the denoising effect. The optimal denoising result is selected through comprehensively comparing the RMSE values of all methods. Experimental results demonstrate that the proposed method effectively denoises and restores images contaminated by blind noise sources.

关键词： Blind Denoising Adaptive RMSE Image Restoratio

FaultMonitoring Strategy for PV System Based on I-V Feature Library

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Energy Engineering 2024年第3期121卷 643-660页

作者： Huaxing Zhao Yanbo Che Gang Wen Yijing Chen School of Electrical and Information Engineering Tianjin UniversityTianjin300000China State Grid Shuozhou Electric power supply company Shuozhou036000China China Huaneng Clean Energy Research lnstitute Technology Co. Ltd.Beijing102209China

Long-term use in challenging natural conditions is possible for photovoltaic modules,which are extremely prone to *** to diagnose and address faults in Photovoltaic(PV)power systems in a timely manner can cause permanent damage to PV modules and,in more serious cases,***,research into photovoltaic module defect detection techniques is crucial for the growth of the photovoltaic sector as well as for maintaining national economic prosperity and ensuring public *** the drawbacks of the current real-time and historical data-based methods for monitoring distributed PV systems,this paper proposes a method for monitoring PV systems at the module or string level that can be achieved by monitoring only electrical *** approach doesn’t need a lot of tests to get the operational data of PV modules beforehand and only requires theoretical feature libraries of PV modules through panel parameter *** present operating conditions and the open-circuit and short-circuit faults can be precisely identified by comparing the observed open-circuit voltage and short-circuit current with the corresponding data in the theoretical feature *** that,by comparing the measured maximum power point voltage and current with the corresponding data in the theoretical feature library through the threshold method,aging and shadowing faults can be accurately *** testing was done to see whether the suggested method was *** results show that the proposed technique is able to diagnose open-circuit faults,short-circuit faults,aging faults,and shadowing faults with shadow occlusion above 20%.

关键词： PV system lambert W function threshold method