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Bi-Level Low-Carbon Optimization Operation Method For Electric Vehicle Grid Integration Considering Peak Load, Jinjin Zhao, Junjie Zhong, Jie Dai, Ziling Huang Feb 2026

Bi-Level Low-Carbon Optimization Operation Method For Electric Vehicle Grid Integration Considering Peak Load, Jinjin Zhao, Junjie Zhong, Jie Dai, Ziling Huang

Journal of Electric Power Science and Technology

As an emerging green energy carrier, electric vehicles (EVs), with their long idle time and energy storage characteristics, can not only relieve load pressure of the electric power grid but also achieve coordinated interaction between power sources and loads through rational scheduling, thereby reducing carbon emissions. Therefore, how to fully leverage the flexibility of EVs and develop an optimization operation strategy that takes the objectives of electric power grid safety, economy, and low carbon into account has become an urgent and critical issue. A low-carbon optimization scheduling method for peak loads is proposed, focusing on the scheduling strategy of EVs …

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Static Voltage Stability Assessment Of Power Systems Based On Mwmote And Ssa-Kelm, Songkai Liu, Jun Cao, Pan Su, Kun Gao, Yuheng Wu, Ming Wan, Di Ai Feb 2026

Static Voltage Stability Assessment Of Power Systems Based On Mwmote And Ssa-Kelm, Songkai Liu, Jun Cao, Pan Su, Kun Gao, Yuheng Wu, Ming Wan, Di Ai

Journal of Electric Power Science and Technology

The static voltage stability assessment method of a power system based on data drive usually has the problem of an unbalanced sample category in the initial data, which makes the performance of the data-driven assessment model greatly affected. Therefore, a static voltage stability assessment method of a power system is proposed based on the majority weighted minority oversampling technique (MWMOTE) and sparrow search algorithm-kernel extreme learning machine (SSA-KELM ) . First, MWMOTE is used to solve the problem of an unbalanced sample category and increase sample diversity. Then, the KELM model parameters are optimized by using SSA, and the static …

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Aggregation Optimization Method For Offshore Wind-Thermal-Storage Systems Based On Membership Degree Analysis, Da Xie, Zhou Tian, Yu Zhang, Yuchuan Wang Feb 2026

Aggregation Optimization Method For Offshore Wind-Thermal-Storage Systems Based On Membership Degree Analysis, Da Xie, Zhou Tian, Yu Zhang, Yuchuan Wang

Journal of Electric Power Science and Technology

To address the collaborative optimization of offshore wind-thermal-storage systems, this paper proposes an aggregation optimization method based on membership degree analysis. The proposed method enables dynamic resource aggregation and flexible scheduling by modeling and optimizing offshore wind farms, thermal power plants, and energy storage systems. Specifically, the aggregation set is generated using the Cartesian product, and initial aggregation schemes are filtered by introducing constraint conditions. A comprehensive evaluation is then conducted using membership degree analysis across three dimensions: wind power accommodation rate, economic benefit, and coordinated frequency regulation capability of thermal power. Simulation results demonstrate that the optimized aggregation configuration …

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Prediction Of Transmission Line Icing In Micrometeorological Areas Based On Rf-Gswoa-Svrm, Wei Zhang, Xingjie Liu, Rui Huang, Yizhou Rao, Jianning Liu, Dan Chen Feb 2026

Prediction Of Transmission Line Icing In Micrometeorological Areas Based On Rf-Gswoa-Svrm, Wei Zhang, Xingjie Liu, Rui Huang, Yizhou Rao, Jianning Liu, Dan Chen

Journal of Electric Power Science and Technology

The transmission lines in the micrometeorological area are more prone to icing, so it is extremely destructive to the safe operation of the power grid system. In view of the characteristics that icing monitoring data in micrometeorological areas is scarce, and interference is strong, RF-GSWOA-SVRM, a prediction method for transmission line icing in micrometeorological areas based on random forest (RF), global search whale optimization algorithm (GSWOA), and support vector regression machine (SVRM), is proposed to improve the accuracy of icing prediction. Firstly, the RF algorithm is used to extract the correlation between transmission line icing and micrometeorological data, thereby reducing …

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Dynamic Optimization Method For Provincial Distribution Network Disaster Recovery System Resources Based On Adaptive Feedback And Grey Wolf Optimization, Tianlong Wu, Longteng Wu, Zhiwei Chen, Manlu Chen, Jianyong Chen, Kaiyan Pan, Wenyi Huang Feb 2026

Dynamic Optimization Method For Provincial Distribution Network Disaster Recovery System Resources Based On Adaptive Feedback And Grey Wolf Optimization, Tianlong Wu, Longteng Wu, Zhiwei Chen, Manlu Chen, Jianyong Chen, Kaiyan Pan, Wenyi Huang

Journal of Electric Power Science and Technology

The large-scale integration of renewable energy sources poses significant challenges to provincial distribution network disaster recovery systems, particularly in data processing and resource optimization. Therefore, an intelligent and dynamically optimized resource management method is urgently required to enhance resource utilization efficiency, reduce operational costs, and improve system stability. This paper proposes a dynamic resource optimization method for provincial distribution network disaster recovery systems by integrating an adaptive feedback mechanism with the grey wolf optimization (GWO) algorithm. At the data acquisition layer, a multi-level adaptive feedback mechanism is introduced to realize real-time feedback control. At the resource allocation and system operation …

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Hybrid Configuration Method For Grid-Forming And Grid-Following Energy Storage Systems Considering Transient Stability And Dynamic Support, Baoyu Zhai, Shuchao Liang, Zh I Xu, Huan Jiang, Haiyang Wu Feb 2026

Hybrid Configuration Method For Grid-Forming And Grid-Following Energy Storage Systems Considering Transient Stability And Dynamic Support, Baoyu Zhai, Shuchao Liang, Zh I Xu, Huan Jiang, Haiyang Wu

Journal of Electric Power Science and Technology

With the significant increase in the proportion of renewable energy, power systems exhibit characteristics of low inertia and weak damping, posing challenges to transient stability. Traditional grid-following energy storage systems (GFL-ESS) lack the capability to autonomously support the operation of power systems, necessitating the configuration of grid-forming energy storage systems (GFM-ESS) to provide voltage support and enhance system stability. To address these issues, this paper investigates the proportion of GFM-ESS units required to effectively improve the transient stability and dynamic support capabilities of the system. First, a transient model of the hybrid grid-following (GFL) and grid-forming (GFM) system is developed …

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Transmission Line Protec Tion Method Based On Time-Frequency Analysis Matr Ix And Bp Neural Network, Jifeng Fan, Yongqiang Wang, Tianlong Zhang, Peng Chen, Yunfeng Yan Feb 2026

Transmission Line Protec Tion Method Based On Time-Frequency Analysis Matr Ix And Bp Neural Network, Jifeng Fan, Yongqiang Wang, Tianlong Zhang, Peng Chen, Yunfeng Yan

Journal of Electric Power Science and Technology

To address the misoperation and failure issues of existing transient protection schemes for high-voltage transmission lines, this paper proposes a transmission line protection method that combines a back propagation (BP) neural network with the time-frequency matrix of transient voltage signals. Transient protection of transmission lines is implemented based on the time-frequency analysis matrix obtained through a one-dimensional continuous wavelet transform of fault-induced voltage traveling waves. According to the existing fault voltage traveling wave data or simulated fault voltage traveling wave data, the time-frequency matrix is obtained by time-frequency analysis. The part with obvious time-frequency characteristics is taken as the input …

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Frequency Regulation Method Of Wind-Storage Coordination Considering Differences In Wind Turbine State, Xilin Zhao, Xiaoyu Ye, Jinxing Li Feb 2026

Frequency Regulation Method Of Wind-Storage Coordination Considering Differences In Wind Turbine State, Xilin Zhao, Xiaoyu Ye, Jinxing Li

Journal of Electric Power Science and Technology

To address the issue of frequency stability in power systems under large-scale wind power grid integration, a frequency regulation control method of wind-storage coordination considering the differences in wind turbine states is proposed. Initially, a power system model incorporating wind power is constructed, with model predictive control (MPC) as the primary controller to optimize the output of the wind turbines. Then, on this basis, considering the differences in wind turbine state, the state consistency control (SCC) method is introduced to address the problem of online computational complexity arising from uniform control of all wind turbines via MPC, thereby reducing the …

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Stability Analysis Of Fractional-Frequency Offshore Wind Power System Based On Lyapunov Energy Function, Yumeng Jiang, Peiyang He, Ruanming Huang, Wei Xie, Chen Qian, Boyang Zhao, Yongqing Meng Feb 2026

Stability Analysis Of Fractional-Frequency Offshore Wind Power System Based On Lyapunov Energy Function, Yumeng Jiang, Peiyang He, Ruanming Huang, Wei Xie, Chen Qian, Boyang Zhao, Yongqing Meng

Journal of Electric Power Science and Technology

The fractional-frequency transmission method has become an important solution for large-scale long-distance offshore wind power collection and transmission due to its advantages in transmission losses and construction costs compared with power frequency and direct current transmission methods. However, the stability research of fractional-frequency offshore wind power systems, especially the analysis under the background of typical large disturbances in system operation, is lacking. A high-order nonlinear state space model of the fractional-frequency offshore wind power system is proposed, and the sector-based nonlinear method is used to deal with the high-order nonlinear part of the model; the Lyapunov energy function of the …

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Phase Selection Capacity Recovery Strategy For Full-Scale New Energy Grid Based On Coordinated Control And Protection, Lin Zhang, Hongbin Wang, Xun Chen, Xiangning Lin, Zhengtian Li, Fanrong Wei Feb 2026

Phase Selection Capacity Recovery Strategy For Full-Scale New Energy Grid Based On Coordinated Control And Protection, Lin Zhang, Hongbin Wang, Xun Chen, Xiangning Lin, Zhengtian Li, Fanrong Wei

Journal of Electric Power Science and Technology

The negative-sequence suppression control strategy and low-voltage ride-through control strategy are adopted when the inverter-based power supply fails, which leads to a serious inequality between the distribution coefficients of positive- and negative-sequence currents at the energy storage station side in a full-scale new energy system, resulting in incorrect phase selection of the phase current difference mutation element. Based on the fault sequence component network, the constraint condition for the correct phase selection of the phase current difference mutation element is derived. A phase selection performance recovery scheme based on fault component regulation is proposed, which can eliminate the degradation of …

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State Estimation Of Supercapacitor Based On Transient Model, Shuang Rong, Xiaog Uang Chen, Wanlin Guan, Wenbo Hao, Yuanting Hu, Yanlong Liu, Jiandong Duan, Yuhan Wang Feb 2026

State Estimation Of Supercapacitor Based On Transient Model, Shuang Rong, Xiaog Uang Chen, Wanlin Guan, Wenbo Hao, Yuanting Hu, Yanlong Liu, Jiandong Duan, Yuhan Wang

Journal of Electric Power Science and Technology

The multi-branch model of a supercap acitor can accurately describe the charge and discharge characteristics of a supercapacitor, but it is difficult to obtain the exact parameters when it is used to estimate the state of the supercapacitor, resulting in large errors in the state estimation results. In order to improve the accuracy of supercapacitor parameter identification and state estimation in the transient process, a state estimation algorithm combining an extended Kalman filter (EKF) and an adaptive unscented Kalman filter (AUKF) based on a transient model is proposed. Firstly, the model simplification feasibility in the case of fast charge and …

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Optimized Operation Of Integrated Energy System With Underwater Compressed Air Energy Storage Based On Power And Heat Storage, Shuai Shi, Xiaomeng Lu, Yuanyuan Li, Chunyang Gong, Wei Song, Xiaoliang Wang Feb 2026

Optimized Operation Of Integrated Energy System With Underwater Compressed Air Energy Storage Based On Power And Heat Storage, Shuai Shi, Xiaomeng Lu, Yuanyuan Li, Chunyang Gong, Wei Song, Xiaoliang Wang

Journal of Electric Power Science and Technology

At present, underwater compressed air energy storage (UW-CAES) is mainly used in isolated island power grids of islands or ports. Firstly, inland abandoned mine pit lakes are utilized to establish large-scale UW-CAES gas storage chambers, and an integrated energy system on land with UW-CAES is constructed. Secondly, a new heat supply mode is proposed, which realizes the power and heat storage integration of the energy storage system through the coordination of heat supply between the heat storage tank and the heat pump. Finally, the effects of operating cost, system benefit, wind power consumption, and low-carbon emissions of the integrated energy …

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User Prioritization For Smart Electricity Services In Retail Market, Wei Yang, Jie Qin, Yuting Xie, Yuquan Chi, Yongjun Zhang, Runting Cheng Feb 2026

User Prioritization For Smart Electricity Services In Retail Market, Wei Yang, Jie Qin, Yuting Xie, Yuquan Chi, Yongjun Zhang, Runting Cheng

Journal of Electric Power Science and Technology

To effectively select users for smart electricity services in the context of the retail market, a user prioritization method for smart electricity services is proposed. First, according to the physical characteristics of user load data and the behavioral characteristics of transaction data, the value index system of smart electricity services is proposed from two aspects of established value and potential value. Then, based on the G1 method and the improved entropy weight method, the comprehensive weight of the evaluation index is solved, and a user prioritization method for smart electricity services is proposed, which provides a new idea for improving …

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Optimization Of Lightning Impulse Grounding Performance Of Claw-Shaped Tower Grounding Device, Zhanglei Chen, Tingfang Yang, Chao Zhuo, Gaojia Li, Minghao Feng, Xiong Li Feb 2026

Optimization Of Lightning Impulse Grounding Performance Of Claw-Shaped Tower Grounding Device, Zhanglei Chen, Tingfang Yang, Chao Zhuo, Gaojia Li, Minghao Feng, Xiong Li

Journal of Electric Power Science and Technology

Transmission line towers are prone to lightning strikes. When the grounding resistance of a tower is too high, the fault rate of the line is increased. To effectively reduce the lightning impulse grounding resistance of typical grounding devices and guide the grounding design of transmission line towers, a composite grounding device consisting of a typical tower foundation combined with a claw-shaped grounding body is proposed. A model of the claw-shaped grounding device is established using CDEGS software, and its time-domain impulse response characteristics are analyzed while considering the soil spark effect. Quantitative comparisons of the impulse grounding resistance of the …

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Local Electric Field Detection Method For Zero-Value Insulators Based On Quadcopter, Zhusheng Qiao, Sunton G Gu, Dongdong Zhang, Jicheng Yu, Ao Han, Yi Zhang, Hengdong Song Feb 2026

Local Electric Field Detection Method For Zero-Value Insulators Based On Quadcopter, Zhusheng Qiao, Sunton G Gu, Dongdong Zhang, Jicheng Yu, Ao Han, Yi Zhang, Hengdong Song

Journal of Electric Power Science and Technology

Insulators play the role of ensuring the insulation of conductors to the ground in the power system, which is an important piece of equipment for the external insulation of transmission and distribution, as well as a reliable guarantee for the safety and stability of the power system. Zero-value faults in insulators can cause serious problems in the operation of the power system. By detecting the local electric field by quadcopter, it is possible to determine whether the insulator is a zero-value unit. In order to figure out the reasonable detection distance and propose a rapid identification criterion, an insulator detection …

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Temperature Distribution Characteristics And Heat Identification Method Of Cable Intermediate Joints With Explosion-Proof Boxes, Dongdong Zhang, Huijuan Wan, Yi Zhang, Jicheng Yu, Tonghui Ye, Xinhan Qiao, Ting Jiao, Yinshan Wang, Ruoxi Wang Feb 2026

Temperature Distribution Characteristics And Heat Identification Method Of Cable Intermediate Joints With Explosion-Proof Boxes, Dongdong Zhang, Huijuan Wan, Yi Zhang, Jicheng Yu, Tonghui Ye, Xinhan Qiao, Ting Jiao, Yinshan Wang, Ruoxi Wang

Journal of Electric Power Science and Technology

The three-core cable intermediate joint is a vulnerable component of the cable system. The addition of an explosion-proof box can effectively prevent joint failure from affecting the normal operation of other cables, and also affects the surface temperature distribution of the joint. In this paper, a three-dimensional full-scale model of a 35 kV cable intermediate joint with an explosion-proof box is developed, and a multiphysics coupled simulation model based on finite element theory is established. The influence of contact resistance on the temperature of the joint inside the explosion-proof box and the influence of the gel-filled explosion-proof box on the …

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Wide-Band Oscillation Analysis Method For Grid-Connected Distributed Photovoltaics With High Penetration Rate, Di Zhang, Mingyang Liu, Junpeng Chen, Ze Gao, Hua Wang, Haoyu Tan, Shihong Miao Feb 2026

Wide-Band Oscillation Analysis Method For Grid-Connected Distributed Photovoltaics With High Penetration Rate, Di Zhang, Mingyang Liu, Junpeng Chen, Ze Gao, Hua Wang, Haoyu Tan, Shihong Miao

Journal of Electric Power Science and Technology

With the continuous increase in the penetration rate of distributed photovoltaics (PV) in the distribution network, the impact of power electronic equipment represented by grid-connected inverters on the power grid is increasing, and the risk of wide-band oscillation in the power grid is intensifying. However, few existing studies have proposed wide-band oscillation stability criteria to meet the safe operation of grid-connected distributed PV with a high penetration rate, so that effective suppression measures cannot be taken. In view of this, an analysis method for wide-band oscillation under grid-connected distributed PV with a high penetration rate based on the equivalent model …

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Coordinated Optimization Strategy Of Integrated Energy System Based On Dynamic Deviation Igdt, Huajun Ran, Daiqiang Yang, Youchun Gan, Can Wang, Mingchao Wang, Jun Zheng, Fang Huang Feb 2026

Coordinated Optimization Strategy Of Integrated Energy System Based On Dynamic Deviation Igdt, Huajun Ran, Daiqiang Yang, Youchun Gan, Can Wang, Mingchao Wang, Jun Zheng, Fang Huang

Journal of Electric Power Science and Technology

To improve the wind power accommodation rate and reduce the cost of hydrogen energy use and system-level carbon emissions, this paper proposes a coordinated optimization strategy for an integrated energy system (IES) based on information gap decision theory (IGDT) with dynamic deviation. First, a hybrid hydrogen production system and an oxy-fuel combustion capture system are introduced into the IES, and an IES model incorporating the hybrid hydrogen production and oxy-fuel combustion capture system is constructed. Second, a system scheduling model for deterministic scenarios is established with the objective of minimizing the total operating cost. In addition, an IGDT decision model …

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Charging Optimization And Regulation Strategy For Electric Vehicles Considering Photovoltaic Power Prediction, Shuanglin Song, Zhaoxing Ma, Jing Wang, Ji Li, Ruihua Wang Feb 2026

Charging Optimization And Regulation Strategy For Electric Vehicles Considering Photovoltaic Power Prediction, Shuanglin Song, Zhaoxing Ma, Jing Wang, Ji Li, Ruihua Wang

Journal of Electric Power Science and Technology

The widespread adoption of electric vehicles and distributed power sources poses new challenges to power systems, as increased volatility and uncertainty in both load demand and power supply place greater pressure on distribution network operation. To address these challenges, an electric vehicle charging control strategy considering photovoltaic power accommodation is proposed. First, the Monte Carlo method is employed to simulate and analyze the electricity consumption characteristics and charging behaviors of electric vehicle users. Second, a photovoltaic power generation forecasting model is developed based on gated recurrent unit networks. Finally, an orderly charging control strategy for electric vehicles is proposed, with …

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A Distributed Photovoltaic Power Anomaly Perception Method Based On Kpca-Optics Clustering, Sheng Su, Xiong Li, Zhiqiang Li, Changjiang Wu, Zhuo Peng Feb 2026

A Distributed Photovoltaic Power Anomaly Perception Method Based On Kpca-Optics Clustering, Sheng Su, Xiong Li, Zhiqiang Li, Changjiang Wu, Zhuo Peng

Journal of Electric Power Science and Technology

In response to the lack of professional monitoring and difficulty in accurately locating abnormal sites in distributed photovoltaic power stations, a distributed photovoltaic power anomaly perception method is proposed based on kernel principal component analysis-ordering points to identify the clustering structure (KPCA-OPTICS) clustering, with the help of the similarity and correlation of nearby distributed photovoltaic power station output. Firstly, based on the output data of photovoltaic power stations, the OPTICS clustering algorithm is used to cluster multiple power stations. The KPCA is then employed to perform dimensionality reduction on the clustering data to lower the influence of high-dimensional data on …

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Grounding Device With Induced Arc Suppression Function Based On Series Resonant Circuit, Yunhao Shu, Zhenghua Su, Shubin Hou, Yuhan Qian, Zhenjia Shen, Zheng Gong Feb 2026

Grounding Device With Induced Arc Suppression Function Based On Series Resonant Circuit, Yunhao Shu, Zhenghua Su, Shubin Hou, Yuhan Qian, Zhenjia Shen, Zheng Gong

Journal of Electric Power Science and Technology

In a strong electromagnetic induction environment, the outage line in the double-circuit line on the same tower will produce induced voltage and induced current. The arc generated when the ground wire is manually installed will seriously affect the safe operation of the equipment. Therefore, this paper proposes a grounding device with induced arc suppression function, which improves the ordinary grounding device by utilizing a series resonant circuit. Firstly, the calculation formula of induced electricity of the double-circuit line on the same tower is deduced theoretically. The working principle of the series resonant grounding device with arc suppression function is analyzed, …

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Anomaly Sound Detection Of High-Voltage Shunt Reactors Based On Soft-Constrained Latent Regularized Adversarial Learning, Zhihong Wang, Fuqiang Xiong, Jiawen Zuo, Mingzhu Tang, Jianjun Zhang, Xingyu Tang Feb 2026

Anomaly Sound Detection Of High-Voltage Shunt Reactors Based On Soft-Constrained Latent Regularized Adversarial Learning, Zhihong Wang, Fuqiang Xiong, Jiawen Zuo, Mingzhu Tang, Jianjun Zhang, Xingyu Tang

Journal of Electric Power Science and Technology

With the widespread application of high-voltage shunt reactors in power systems, abnormal phenomena arising during their operation have attracted increasing attention. In existing latent regularization adversarial anomaly detection (LRAAD) methods, the hyperparameter M imposes a hard constraint on the upper bound of the KL divergence of generator-produced spectrograms, which hampers the model's ability to effectively distinguish normal from abnormal data in the latent space, leading to training instability and degraded anomaly detection performance. To address this issue, this paper proposes a soft-constrained latent regularization adversarial anomaly detection (Soft-LRAAD) method. The proposed method introduces a soft constraint loss to replace the …

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Research On Detection And Localization Of Defect Discharge In Switchgear Based On Fusion Of Acoustic Array, Ultra-High Frequency, Andtransient Earth Voltage, Yingjing Chen, Shenjiong Yao, Jialuo Chai, Tongtong Lu, Bintong Li, Zhousheng Zhang Feb 2026

Research On Detection And Localization Of Defect Discharge In Switchgear Based On Fusion Of Acoustic Array, Ultra-High Frequency, Andtransient Earth Voltage, Yingjing Chen, Shenjiong Yao, Jialuo Chai, Tongtong Lu, Bintong Li, Zhousheng Zhang

Journal of Electric Power Science and Technology

To achieve efficient classification and three-dimensional (3D) localization of partial discharge (PD) in switchgear, an integrated circular array sensor combining three types of signals, namely transient earth voltage (TEV), ultra-high frequency (UHF), and acoustic array (AA), is designed. A multimodal fusion classification model and an improved nonlinear crested porcupine optimizer (CPO) algorithm are proposed. First, a sensor system with multi-channel acquisition capability is constructed through structural integration and performance testing. Second, a neural network model is built based on nine-dimensional time-frequency domain features to achieve accurate classification of multiple types of discharge defects. Finally, a time delay extraction method combining …

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Improved Unet++-Based Approach For Multi-State Appliance Load Disaggregation, Gui Gu, Jiangliang Jin, Liangliang Hao, Qisheng Huang Feb 2026

Improved Unet++-Based Approach For Multi-State Appliance Load Disaggregation, Gui Gu, Jiangliang Jin, Liangliang Hao, Qisheng Huang

Journal of Electric Power Science and Technology

Nowadays, non-intrusive load disaggregation techniques face two major challenges. First, it is difficult to effectively extract the power characteristics of multi-state appliances in low-power states. Second, the generalization capability of disaggregation models is insufficient. To address these two challenges, an improved Unet++-based approach for multi-state appliance load disaggregation is proposed. First, within the encoder-decoder framework, a parallel-structured encoder is adopted to enhance the parsing capability of complex power signals, while skip connections ensure that the decoder can accurately reconstruct the original signal, thus improving the refinement of the disaggregation. Second, a bidirectional long short-term memory (BiLSTM) module is introduced to …

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Small Object Defect Detection Of Insulators Based On Yolo-Insulator Model In Complex Background, Penglin Dong, Jiupeng Chen, Sen Wang, Hongjun San, Hongwei Hu Feb 2026

Small Object Defect Detection Of Insulators Based On Yolo-Insulator Model In Complex Background, Penglin Dong, Jiupeng Chen, Sen Wang, Hongjun San, Hongwei Hu

Journal of Electric Power Science and Technology

Computer vision-based methods for insulator defect detection from aerial images are widely used in power inspection. To address missed and false detections caused by complex backgrounds and small target scales, a YOLO-insulator defect detection model is proposed to improve detection accuracy. First, the reparameterized convolution based on channel shuffle-one-shot aggregation (RCS-OSA) is introduced to replace the traditional two-dimensional convolution C2f, thus enhancing the network's feature extraction capability. In the neck network, the RCS-OSA module is used to replace some of the C2f convolutions, and the squeeze-and-excitation network (SENet) is introduced to enhance the model's ability to capture inter-channel relationships and …

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Final Repository Siting Study (Rss) Detailed Evaluation And Recommendations Report, Atlantic Richfield Company, Butte Silver Bow Feb 2026

Final Repository Siting Study (Rss) Detailed Evaluation And Recommendations Report, Atlantic Richfield Company, Butte Silver Bow

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

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Tammy Knieling V. Don Fook Feb 2026

Tammy Knieling V. Don Fook

2026 Decisions

USDC for the District Court of the Virgin Islands

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Tammy Knieling V. Don Fook Feb 2026

Tammy Knieling V. Don Fook

2026 Decisions

USDC for the District Court of the Virgin Islands

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Sullivan County 4-H Presents! 2026, Lynn Brewer Feb 2026

Sullivan County 4-H Presents! 2026, Lynn Brewer

UNH Cooperative Extension

No abstract provided.

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Rewriting Betrayal: The Political Memory Of Andrei Vlasov And His Russian Liberation Army, Christian N. Adams Feb 2026

Rewriting Betrayal: The Political Memory Of Andrei Vlasov And His Russian Liberation Army, Christian N. Adams

Departmental Honors & Graduate Capstone Projects

This study examines the evolving historiography of Andrei Vlasov and the Russian Liberation Army (ROA) from the end of World War II to the post-Soviet era. Drawing on Soviet, émigré, and Western sources, it traces how interpretations of Vlasov’s defection reflected shifting moral and political frameworks in Russia’s collective memory. The analysis demonstrates that portrayals of Vlasov, from Stalinist condemnations to post-Soviet reappraisals, mirror the state’s changing relationship to patriotism, legitimacy, and dissent. By comparing Cold War scholarship with contemporary Russian debates, this paper argues that the Vlasov question endures not because of mere intrigue, but because it embodies the …

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