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Clairaut Conformal Submersions From Ricci Solitons, Murat Polat Sep 2026

Clairaut Conformal Submersions From Ricci Solitons, Murat Polat

Turkish Journal of Mathematics

In this study, we investigate Clairaut conformal submersions in the context of total manifolds that support a Ricci soliton structure. We begin by deriving the scalar curvature and Ricci tensor expressions associated with these manifolds, and we establish criteria under which the fibres can be characterized as almost Ricci solitons or Einstein manifolds. Additionally, we identify the conditions required for the base manifold to admit Ricci soliton and Einstein structures. We also determine the necessary conditions for a vector field ζ to be conformal or Killing. Moreover, we demonstrate that when the potential vector field of the Ricci soliton is …

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A Delayed Siamr Prostate Cancer Model With Vertical Transmission And Treatment: Stability Analysis And Numerical Simulation, Hüseyi̇n Demir, İnci̇ Çi̇li̇ngi̇r Süngü, İbrahi̇m Keles Sep 2026

A Delayed Siamr Prostate Cancer Model With Vertical Transmission And Treatment: Stability Analysis And Numerical Simulation, Hüseyi̇n Demir, İnci̇ Çi̇li̇ngi̇r Süngü, İbrahi̇m Keles

Turkish Journal of Mathematics

​In this paper, we propose and analyse a delayed-compartmental mathematical model of prostate cancer dynamics that incorporates vertical transmission and therapeutic intervention. The population is stratified into five compartments: susceptible (S), infected/virally activated (I), asymptomatic infectious under treatment (A), malignant untreated (M), and recovered (R). A discrete time delay τ > 0 is introduced in the force-of-infection term to model the age-dependent onset of susceptibility in middle-aged adult males. Vertical transmission of viral etiology at a rate qΛ ensures that a fraction of newborns enter the infected compartment directly, rendering the disease persistent regardless of the basic reproduction number R₀. We …

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​Compact And Am-Compact Orthogonally Additive Operators, Bahri̇ Turan, Bi̇rol Altin Sep 2026

​Compact And Am-Compact Orthogonally Additive Operators, Bahri̇ Turan, Bi̇rol Altin

Turkish Journal of Mathematics

We show that compactness of orthogonally additive operators between Banach lattices is not preserved under taking the modulus by providing a nonlinear analogue of Krengel’s example. In contrast, for operators acting from a Banach lattice into an AM-space, AM-compactness is stable under lattice operations. Moreover, the space of absolutely norm bounded AM-compactorthogonally additive operators from a Banach lattice into an AM-space is a Banach lattice, and on such AM-spaces with the weak Fatou property, norm boundedness coincides with absolute norm boundedness.

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Hyers-Ulam And Hyers-Ulam Rassias Stability Of Caputo Fractional Hahn Difference Equations, Karima Mohamed Oraby, Alaa E. Hamza, Afrah Al-Bossly Sep 2026

Hyers-Ulam And Hyers-Ulam Rassias Stability Of Caputo Fractional Hahn Difference Equations, Karima Mohamed Oraby, Alaa E. Hamza, Afrah Al-Bossly

Turkish Journal of Mathematics

​In this paper, we investigate Hyers–Ulam and Hyers–Ulam–Rassias stability for fractional linear Hahn difference equations of Caputo Type. To the best of our knowledge, this is the first work concerning Hyers–Ulam type stability in the framework of Caputo fractional Hahn difference equations, thereby filling a significant gap in the literature on fractional stability theory. Our approach is based on establishing an equivalence between the fractional Hahn difference initial value problem and a corresponding fractional integral equation, via the Caputo–Hahn inversion formula. These results lay a strong groundwork for analyzing the stability of Hahn fractional systems, which could be useful in …

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Eco Contemporáneo Magazine: Translation And Counterculture From 1960´S Buenos Aires, Damían Deamici Sep 2026

Eco Contemporáneo Magazine: Translation And Counterculture From 1960´S Buenos Aires, Damían Deamici

INTI: Revista de literatura hispánica

No abstract provided.

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Paisajes Peruanos Transcontinentales: Mario Vargas Llosa. Paisajes Peruanos Translinguales: Daniel Alarcón, Ottmar Ette Sep 2026

Paisajes Peruanos Transcontinentales: Mario Vargas Llosa. Paisajes Peruanos Translinguales: Daniel Alarcón, Ottmar Ette

INTI: Revista de literatura hispánica

No abstract provided.

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Luigi Giuseppe (Giorgio)1 Racca Y Oreste Sola: Dos Piamonteses En Argentina En La Época De La Inmigración Masiva, María Teresa Sanhueza Sep 2026

Luigi Giuseppe (Giorgio)1 Racca Y Oreste Sola: Dos Piamonteses En Argentina En La Época De La Inmigración Masiva, María Teresa Sanhueza

INTI: Revista de literatura hispánica

No abstract provided.

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Vargas Llosa Y El Fuego De La Tribu, Julio Ortega Sep 2026

Vargas Llosa Y El Fuego De La Tribu, Julio Ortega

INTI: Revista de literatura hispánica

No abstract provided.

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Cuatro Microrrelatos, Javier De Nevascués Sep 2026

Cuatro Microrrelatos, Javier De Nevascués

INTI: Revista de literatura hispánica

No abstract provided.

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Joint Identification Method Of Distribution Network Topology And Line Parameters Based On Sparse Regression And Clustering Correction, Ruifeng Zhang, Bo Li, Kai Liao, Xueshun Ye, Jun Zhou, Lei Wu Sep 2026

Joint Identification Method Of Distribution Network Topology And Line Parameters Based On Sparse Regression And Clustering Correction, Ruifeng Zhang, Bo Li, Kai Liao, Xueshun Ye, Jun Zhou, Lei Wu

Journal of Electric Power Science and Technology

The inconsistency between equipment records and actual topology/line parameters during the long-term operation of distribution networks seriously limits the safe and efficient operation of distribution networks.To this end，a joint identification method for distribution network topology and line parameters based on sparse regression and clustering correction is proposed.Firstly，the coupling relationship between measurement data and distribution network topology/line parameters is analyzed to build the joint identification model.Subsequently，a preliminary topology identification-line parameter calculation-joint precision identification method is introduced to pre-identify topology by employing voltage similarity.Then，line parameters are solved via sequential backward selection and sparse regression，and accurate topology is extracted through an improved spatial …

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Design And Analysis Of Power Supply Transmission For Lunar Surface Energy System, Ming Zhang, G Jiankun Zhan, Yuxiang Yang, Chengxiong Tang, Lijun Ma, Ji ’Nan Ma, Hong Du, Hua Geng, Yu Zhao Sep 2026

Design And Analysis Of Power Supply Transmission For Lunar Surface Energy System, Ming Zhang, G Jiankun Zhan, Yuxiang Yang, Chengxiong Tang, Lijun Ma, Ji ’Nan Ma, Hong Du, Hua Geng, Yu Zhao

Journal of Electric Power Science and Technology

The energy system is an important component of the lunar research station ’s infrastructure and is responsible for providing long-term，stable electric power.Based on the construction stages and mission requirements of the lunar research station，this paper briefly introduces the composition of the energy system，proposes an energy transmission topology architecture based on a distributed system，and establishes mathematical models for the power conversion and transmission links.Considering the characteristics of AC and DC systems，as well as factors such as system weight，reliability，and the application of space high-voltage technologies，this paper compares and analyzes the characteristics of transmission buses under different systems，voltage levels，and transmission power levels，determines the …

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Vulnerability Assessment Of Power Grid Nodes Based On Moo-Gcn, Kang Xing, Ziqing Zhang, Qunmin Yan, Jingjing Tian Sep 2026

Vulnerability Assessment Of Power Grid Nodes Based On Moo-Gcn, Kang Xing, Ziqing Zhang, Qunmin Yan, Jingjing Tian

Journal of Electric Power Science and Technology

The continued expansion and increasing structural complexity of new power systems have made the limitations of traditional node vulnerability analysis methods increasingly evident in terms of computational efficiency，nonlinear feature analysis capability，and assessment accuracy.To address this issue，a power grid node vulnerability assessment method based on a multi-objective optimization graph convolutional network （MOO-GCN ） was first proposed.Then，a multi-objective optimization mechanism was introduced into the traditional GCN framework to construct a three-component joint loss function integrating reconstruction loss，neighborhood embedding loss，and ranking consistency loss，thus achieving comprehensive assessment through dynamic weight adjustment.Finally，the IEEE 300-node，IEEE 500-node，and IEEE 1354 -node distribution networks were used as test cases，and …

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Wide-Area Optimal Control Method For Synchronous Generators To Enhance Transient Voltage Stability Of Receiving-End Grids, Peng Wang, Chenyi Zheng, Qing Wang, Yi Tang Sep 2026

Wide-Area Optimal Control Method For Synchronous Generators To Enhance Transient Voltage Stability Of Receiving-End Grids, Peng Wang, Chenyi Zheng, Qing Wang, Yi Tang

Journal of Electric Power Science and Technology

Synchronous generators are important reactive power sources in DC receiving-end grids.However，the traditional automatic excitation voltage regulation method，which controls reactive power output solely according to the voltage drop at the generator terminal，fails to fully exploit the reactive power and voltage regulation potential of synchronous generators.To address this issue，a wide-area optimal control framework and method for synchronous generators are proposed to enhance the transient voltage stability of receiving-end grids.First，fault scanning was conducted based on typical operating conditions，and voltage-weak nodes in the receiving-end grid were identified according to the nodal voltage-drop time-area and transient voltage stability margin.Second，the reactive power support capability of each …

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Cause Analysis Of Low Voltage In Distribution Networks Based On Multi-Scale Time-Frequency Features And Global Dependency Modeling, Peng Chen, Sihan Zhou, Liping Fan, Xiaosheng Yu Sep 2026

Cause Analysis Of Low Voltage In Distribution Networks Based On Multi-Scale Time-Frequency Features And Global Dependency Modeling, Peng Chen, Sihan Zhou, Liping Fan, Xiaosheng Yu

Journal of Electric Power Science and Technology

A cause analysis model based on multi-scale time-frequency features and global dependency modeling is proposed to improve the accuracy and robustness of cause classification and address the complex and diverse causes of low voltage in distribution networks and the non-stationary nature of signal characteristics.The model consists of two feature extraction branches：the wavelet convolution branch employs one-dimensional discrete wavelet convolution to extract multi-scale time-frequency features and capture the local dynamic variations of the signals；the Transformer branch converts the time-series data into a recursive graph and models global temporal dependency through the self-attention mechanism.Subsequently，local and global features are integrated through feature fusion …

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Multi-Entity Multi-Measure Combined Line-Loss Control For Active Distribution Networks, Haiyun An, Yufang Liu, Qian Zhou, Jiaxun Li Sep 2026

Multi-Entity Multi-Measure Combined Line-Loss Control For Active Distribution Networks, Haiyun An, Yufang Liu, Qian Zhou, Jiaxun Li

Journal of Electric Power Science and Technology

The large-scale integration of diverse entities，including wind power，photovoltaic generation，and energy storage，has transformed distribution networks from traditional passive networks into active bidirectional networks.While helping alleviate energy and environmental crises，this transformation also poses significant challenges to line-loss control in active distribution networks （ADNs ）.To address this issue，this paper proposes a multi-measure combined line-loss control method considering the participation of multiple entities.First，various loss-reduction measures，including distribution line upgrading，transformer replacement，and reactive power compensation，are considered comprehensively.A multi-objective optimization model accounting for both loss-reduction effectiveness and economic performance is established，with optimal economic operation of the ADN as the objective and secure operation of the distribution network with …

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Calculation Method For Distribution Network Line Loss Based On Feature Selection And Lstm-Xgboost-Shap, Li Yang, Guo Wang, Yongzhi Min Sep 2026

Calculation Method For Distribution Network Line Loss Based On Feature Selection And Lstm-Xgboost-Shap, Li Yang, Guo Wang, Yongzhi Min

Journal of Electric Power Science and Technology

Accurately calculating distribution network line losses is crucial for ensuring the economic，safe and stable operation of the power system.The conventional calculation methods cannot effectively utilize electrical feature parameters and involve cumbersome calculation procedures.To address this issue，the study proposes an interpretable calculation method for distribution network line loss based on electrical feature selection and a hybrid model integrating long short-term memory （LSTM ） and extreme gradient boosting-SHapley Additive exPlanations （XGBoost-SHAP ）.In this method，theoretical electrical feature indicators for line loss are determined by comprehensively considering the relationships between various electrical parameters and distribution network line losses.A feature selection method based on cross-correlation …

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Fault Line Selection Method For High-Resistance Ground Faults In Asymmetric Distribution Networks With Ne Utral Point Voltage Source Connection, Tao Tang, Silin Xiang, Qilong Rong, Kangjian Yuan Sep 2026

Fault Line Selection Method For High-Resistance Ground Faults In Asymmetric Distribution Networks With Ne Utral Point Voltage Source Connection, Tao Tang, Silin Xiang, Qilong Rong, Kangjian Yuan

Journal of Electric Power Science and Technology

A fault line selection method based on neutral point voltage source connection for single-phase high-resistance ground faults is proposed to address the challenge of single-phase high-resistance ground fault identification in asymmetric distribution networks.Firstly，the zero-sequence current component characteristics of lines in asymmetric distribution networks are analyzed，and an equivalent model for the zero-sequence network of asymmetric distribution networks is built.Secondly，when the zero-sequence voltage exceeds its limit，a high-frequency voltage source is connected to the system neutral point，with the influence of asymmetric parameters of each line eliminated by calculating the asymmetric current.The ratio of the power frequency component to the high-frequency component of the …

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Economic-Security Trade-Off Methods For Optimal Dispatch In New Power Systems : Review And Prospects, Lei Yan, Guocan Yan, Chuangxin Guo, Yilin Zhou, Yan Meng, Rouyu Lin, Keyi Chen, Zuyi Li Sep 2026

Economic-Security Trade-Off Methods For Optimal Dispatch In New Power Systems : Review And Prospects, Lei Yan, Guocan Yan, Chuangxin Guo, Yilin Zhou, Yan Meng, Rouyu Lin, Keyi Chen, Zuyi Li

Journal of Electric Power Science and Technology

The strong uncertainty of new power systems makes the economic-security trade-off in day-ahead optimal dispatch more challenging.From the perspective of the interaction between risk preferences and optimization models，this paper categorizes trade-off methods into three modes：the a priori setting mode，the a posteriori selection mode，and the endogenous trade-off mode.First，it analyzes the limitations of the a priori setting mode，which relies on subjective experience to determine risk parameters，such as risk levels and uncertainty budgets，as well as the computational challenges of the a posteriori selection mode in high-dimensional risk settings.Second，it focuses on the endogenous trade-off mode represented by adjustable chance constraints，explaining how this mode endogenizes …

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Unit Commitment Optimization Method Based On Linear Approximation Of Ac Power Flow, Shengbo Ji, Jinlong Zhang, Ruipeng Guo, Chuangxin Guo Sep 2026

Unit Commitment Optimization Method Based On Linear Approximation Of Ac Power Flow, Shengbo Ji, Jinlong Zhang, Ruipeng Guo, Chuangxin Guo

Journal of Electric Power Science and Technology

To address the conflict between the neglect of reactive power and voltage issues in DC power flow and the complexity of solving accurate AC power flow in traditional transmission network unit commitment，this paper proposes a coordinated active and reactive power optimization strategy based on a linear approximation of AC power flow.First，the AC power flow equations are linearized，transforming the nonlinear unit commitment problem into a Mixed-Integer Quadratic Programming （MIQP ） model.The model is further transformed into a mixed-integer linear programming （MILP ） model through piecewise linearization of the cost function.Second，considering that reactive power and voltage relationships in power systems are not …

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Demand Response Capability Evaluation Of Central Air Conditioning Based On Random Forest, Tingzhe Pan, Jinhua He, Zijie Meng, Xin Jin, Wei Zhou, Wangzhang Cao, Chao Li Sep 2026

Demand Response Capability Evaluation Of Central Air Conditioning Based On Random Forest, Tingzhe Pan, Jinhua He, Zijie Meng, Xin Jin, Wei Zhou, Wangzhang Cao, Chao Li

Journal of Electric Power Science and Technology

Central air conditioning in commercial buildings is a high-quality controllable resource，and the rational utilization of its regulation capacity is of significance to the supply-demand balance of power systems.In particular，during summer peak electricity consumption periods，effective regulation of massive central air conditioning loads can greatly relieve the pressure of source-load balance in power grids.To this end，a demand response capability evaluation of central air conditioning based on random forest （RF） is proposed.Assuming that the participation of central air conditioning in demand response is limited to controlling the on/off status of the central refrigeration system，then the demand response capability can be characterized by the …

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Review Of Lunar Surface Energy System Technologies, Ming Zhang, Li Lu, Yaodong Liu, Hong Du, Chengxiong Tang, Hua Geng, Qiaoling Tong, Wei Lu Sep 2026

Review Of Lunar Surface Energy System Technologies, Ming Zhang, Li Lu, Yaodong Liu, Hong Du, Chengxiong Tang, Hua Geng, Qiaoling Tong, Wei Lu

Journal of Electric Power Science and Technology

According to China ’s lunar exploration plan，China aims to achieve a manned lunar landing before 2030 and establish the basic model of a lunar research station before 2035.As essential infrastructure for the construction and operation of the lunar research station，the energy system is fundamental to ensuring its long-term，stable operation.This study surveys domestic and international lunar surface energy systems and analyzes the energy system requirements of China ’s lunar research station.Based on this analysis，the application scenarios and development requirements for power generation，energy storage，power management，and power transmission and distribution technologies are discussed in detail.Various types of energy systems are proposed and compared.On …

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Short-Term Bus Load Forecasting Considering Interval Forecasting Information And Temporal Convolutional Network, Xinming Liu, Haichen Li, Jianguang Ji, Shuo Sun, Junxin Bian Sep 2026

Short-Term Bus Load Forecasting Considering Interval Forecasting Information And Temporal Convolutional Network, Xinming Liu, Haichen Li, Jianguang Ji, Shuo Sun, Junxin Bian

Journal of Electric Power Science and Technology

The bus load forecasting in substations is essential for the stable operation of power systems.With the large-scale integration of renewable energy generation into the grid，low-voltage bus loads become increasingly volatile，and their uncertainty can hardly be quantified by point forecasting alone.Interval forecasting can enhance decision-making in power dispatching.For this reason，the study proposes a hybrid short-term bus load forecasting method that integrates point and interval forecasting.Specifically，complementary ensemble empirical mode decomposition with adaptive noise （CEEMDAN ） is applied for primary decomposition of the original bus load.The features of the highly volatile high-frequency components from primary decomposition are extracted through secondary decomposition of the …

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Lightweight Method For Remaining Useful Life Prediction Of Instrument Transformers Based On Quantization-Aware Training, Wei Zhang, Jiaona Mao, Zhuolin Bao, Zhuo Long, Xiaofei Zhang Sep 2026

Lightweight Method For Remaining Useful Life Prediction Of Instrument Transformers Based On Quantization-Aware Training, Wei Zhang, Jiaona Mao, Zhuolin Bao, Zhuo Long, Xiaofei Zhang

Journal of Electric Power Science and Technology

Instrument transformers are key measurement devices in power systems，and their performance directly affects the safe and stable operation of power grids.As deep learning is widely applied to device state prediction，the high computational costs and storage requirements brought by expanding model scales severely restrict their deployment on edge devices.To this end，an adaptive quantization-aware training （QAT ） method，named minimizing quantization error-aware training （MinQuant ），is proposed.Firstly，an adaptive quantizer that automatically adjusts quantization parameters according to data distribution characteristics is designed.Secondly，a quantization error minimization algorithm is proposed to explicitly optimize quantization error during training and achieve collaborative optimization of model performance and quantization precision.Finally，the …

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Data-Driven Distributionally Robust Scheduling Method For Park-Level Integrated Energy System Considering Electric Vehicle Integration, Chuangxin Guo, Kun Chen, Yumian Lin, Houbo Xiong, Lei Yan, Liwei Du Sep 2026

Data-Driven Distributionally Robust Scheduling Method For Park-Level Integrated Energy System Considering Electric Vehicle Integration, Chuangxin Guo, Kun Chen, Yumian Lin, Houbo Xiong, Lei Yan, Liwei Du

Journal of Electric Power Science and Technology

Fluctuations in renewable energy output and the growing and stochastic electric vehicle （EV） charging demand introduce source- and load-side uncertainties that significantly affect the scheduling plan of the park-level integrated energy system （PIES ）.To improve the economy and robustness of PIES operation，this paper proposes a data-driven distributionally robust scheduling method for PIES considering EV integration.First，given that the uncertainty associated with EV integration is difficult to characterize accurately，five features of EV charging behavior are selected.A Gaussian mixture model is used to characterize the multimodal behavior of EV charging，and an uncertainty set is constructed by combining Neyman sampling with comprehensive norm constraints.Second，a …

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Hybrid Hmm-Mgan Approach For Long -Term Renewable Energy Output Scenario Generation, Fang Liu, Yang Liu, Ruichen Hao, Xiang Wang, Yuyan Song, Yunche Su, Haibo Li Sep 2026

Hybrid Hmm-Mgan Approach For Long -Term Renewable Energy Output Scenario Generation, Fang Liu, Yang Liu, Ruichen Hao, Xiang Wang, Yuyan Song, Yunche Su, Haibo Li

Journal of Electric Power Science and Technology

To address the limitations of existing numeric al models for long-term renewable energy scenario generation，such as oversimplified structures，poor output quality，a predominant focus on seasonal trends，and insufficient modeling of output details，this paper proposes a long-term renewable power scenario generation method based on a dual-layer weighted ensemble strategy.The proposed approach integrates multiple power reconstruction models to achieve high-fidelity reconstruction of historical renewable energy output.On this basis，a hidden Markov model （HMM ） is employed on a monthly basis to construct daily-scale state transition sequences of renewable energy output，while a modified generative adversarial network （MGAN ） is used to generate monthly renewable energy output …

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Accurate Calculation Method For Transient Overvoltage In Multi-Infeed Renewable Power Systems Under Asymmetric Faults, Lu Zhang, Jie Rui Huang, Bo Tang, Chenxi Yang Sep 2026

Accurate Calculation Method For Transient Overvoltage In Multi-Infeed Renewable Power Systems Under Asymmetric Faults, Lu Zhang, Jie Rui Huang, Bo Tang, Chenxi Yang

Journal of Electric Power Science and Technology

During fault recovery，transient overvoltages （TOVs ） have become an increasingly prominent issue in power systems with high penetration of renewable energy sources.However，related research，primarily focusing on three-phase short-circuit faults，rarely addresses asymmetric fault scenarios.This study approaches the issue by analyzing the transient characteristics of renewable energy units under asymmetric faults.Then，it presents an equivalent model incorporating negative-sequence control and compares the severity of TOVs caused by three-phase symmetric and asymmetric short-circuits in a single-unit system.Furthermore，to address the difficulty in characterizing the coupling between generation units and between the units and negative-sequence control in multi-infeed systems，the study proposes an iterative TOV calculation method based …

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Transient Rotor Angle Stability Impact Assessment Method Based On Dominant Mode Identification For High-Penetration Renewable Energy Power Systems, Jinlong Zhang, Mengjie Yu, Yanhong Bao, Yuxiang Zhao, Jiaqi Song, Yingping Shi, Zeheng Sun Sep 2026

Transient Rotor Angle Stability Impact Assessment Method Based On Dominant Mode Identification For High-Penetration Renewable Energy Power Systems, Jinlong Zhang, Mengjie Yu, Yanhong Bao, Yuxiang Zhao, Jiaqi Song, Yingping Shi, Zeheng Sun

Journal of Electric Power Science and Technology

This paper addresses the new challenges in the quantitative assessment of transient rotor angle stability in high-penetration renewable energy power systems，proposing a method for evaluating the impact degree based on dominant mode identification.First，the limitations of traditional “impact degree ” assessment methods based on a single-instant kinetic energy approximation are discussed in terms of their ability to address system diversification，low inertia，and differences in the dynamic mechanisms of the two stages.It is also demonstrated that accurate generator grouping is an important prerequisite for effective assessment.On this basis，a transient energy function reflecting the relative motion between generator groups is constructed，and a theoretical connection …

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Identification Of Electric Bicycle Charging Load Based On Label-Guided Attention Mechanism, Xianyi Cui, Weijie Zeng, Mouhai Liu, Liman Shen, Yeqin Ma, Yuge Zhang, Yunpeng Gao Sep 2026

Identification Of Electric Bicycle Charging Load Based On Label-Guided Attention Mechanism, Xianyi Cui, Weijie Zeng, Mouhai Liu, Liman Shen, Yeqin Ma, Yuge Zhang, Yunpeng Gao

Journal of Electric Power Science and Technology

The growing popularity of electric bicycles is accompanied by the risk of charging-related fires，calling for prompt effective monitoring.Non-intrusive load monitoring （NILM ） provides a key technical approach for this purpose.A deep learning identification algorithm based on label-guided attention is proposed for non-intrusive identification of electric bicycle charging loads.Specifically，a feature sample library is constructed by collecting high-frequency power data from electric bicycles and various household appliances.Then，deep features are extracted using a one-dimensional convolutional neural network （1DCNN ），and feature representation is enhanced by combining feature and position attention mechanisms.Furthermore，sequential dependencies are captured using a bidirectional recurrent neural network （BRNN ） to achieve …

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Multimodal Feature Fusion Method For Identifying Excitation Inrush Current In Distribution Transformer, Fan Yan, Luxin Zhan, Chun Chen, Yi An, Yijia Cao Sep 2026

Multimodal Feature Fusion Method For Identifying Excitation Inrush Current In Distribution Transformer, Fan Yan, Luxin Zhan, Chun Chen, Yi An, Yijia Cao

Journal of Electric Power Science and Technology

With the widespread integration of high-penetration distributed generation （DG） and power electronic devices，the harmonic components of fault currents have become increasingly prominent，preventing traditional relay protection methods from effectively distinguishing between excitation inrush currents and fault currents.Moreover，existing time-frequency analysis methods rely on manually selected evaluation metrics，which often lead to misjudgments.To address these issues，this paper proposes a deep learning-based identification method that fuses image- and statistical-domain features，in which the neural network adaptively learns features for identification.Specifically，the Gramian angular field （GAF ） method is employed to transform time-series data into images，from which image features are extracted using ResNet 18.Then，statistical-domain features of the fault …

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Coordinated Suppression Method For Power System Inter -Area Oscillations Based On Supplementary Damping Control Of Dfigs, Jun Xiao, You Situ, Anping Huang, Runfeng Hu Sep 2026

Coordinated Suppression Method For Power System Inter -Area Oscillations Based On Supplementary Damping Control Of Dfigs, Jun Xiao, You Situ, Anping Huang, Runfeng Hu

Journal of Electric Power Science and Technology

Doubly fed induction generator （DFIG ）-based wind turbines have been proven to be effective devices for damping inter-area low-frequency oscillations due to their flexible power regulation capability.However，due to the difficulty of accurately modeling power systems，the complexity and variability of operating conditions，the existence of substantial uncertainties and disturbances，and the coupling of multiple oscillatory modes，it is difficult for traditional model-based supplementary damping control methods with fixed parameters for DFIGs to achieve good damping performance.Therefore，this paper proposes a data-driven coordinated supplementary damping control method for DFIGs.First，partial-form dynamic linearization is used to establish a decoupled multi-input multi-output data-driven model that characterizes the dynamic behavior …

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