Digital Commons Network^™

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

Sf6 Gas Leakage Detection Method For Gis Equipment Based On Improved Yolo 11 Model, Cheng Zeng, Shaosheng Fan, Jiashun Xie, Kaiyu Guo

Journal of Electric Power Science and Technology

An SF6 gas leakage detection method for GIS equipment based on an improved YOLO 11 model is proposed to address the problem of internal SF6 gas leakage in outdoor substation gas insulated switchgear （GIS） equipment caused by environmental factors and equipment aging.The Real-ESRGAN super-resolution generative adversarial network is adopted for denoising and enhancement，and then the YOLO 11 model is improved to solve the problems of missed detection of small gas plumes，false detection due to cloud interference，and inability to perform multi-task detection in the original YOLO 11 model.The improved model increases the number of detection heads to four and incorporates a …

Distribution Network Energy Storage Siting Planning Based On Predictive Load Generation Using Prophet And Gan, Jiayu Xu, Xiaodong Chen, Yafeng Wang, Zhaoyan Liu, Yiyu Gong, Fanglan Liu, Jiaoxin Jia

Journal of Electric Power Science and Technology

An energy storage siting and sizing planning method based on load trend extraction and forecasting is proposed to address the challenges of photovoltaic （PV） curtailment and bidirectional power flow overloads posed by distribution networks with high PV penetration.Firstly，the Prophet algorithm is adopted to decompose the net load of each node into trends and seasonal components，and the residual load is obtained.Secondly，a generative adversarial network （GAN ） is employed to model the relatively random residual component and generate load forecast data for the following year.The generated residual data are then combined with the trend and seasonal components to obtain a new annual …

Optimal Regional Allocation Of Mobile Energy Storage In Urban Distribution Networks Considering Distribution-Transportation Coupling, Zifa Liu, Chang Wang, Mengni Ye

Journal of Electric Power Science and Technology

Given the increasing demand for flexible resources in distribution networks，investigating the trade-off between the economic efficiency of resource allocation during the pre-planning phase and the enhancement of resilience in the fault recovery stage is essential for avoiding asset underutilization and excessive investment.To address this issue，the paper proposes a regional allocation method for mobile energy storage systems （MESSs ） that considers power-transportation coupling.First，a coupled distribution-transportation model is constructed based on the interactions among vehicles，charging stations，and the distribution network to characterize traffic flow dynamics.Next，a comprehensive indicator integrating electrical modularity and geographic accessibility is developed and an improved genetic algorithm is employed to …

Relocation And Charging/Discharging Power Optimization Of Modular Energy Storage For Voltage Limit Violation Mitigation In Rural Photovoltaic Distribution Station Areas, Haifeng Yu, Yifei Wang, Yu Li, Hanhang Yin, Siyuan Peng, Puling Huang, Zheng Peng

Journal of Electric Power Science and Technology

To address the seasonal overvoltage and undervoltage issues in China ’s rural photovoltaic （PV） distribution station areas，this study proposes a relocation and charging/discharging power optimization method for modular energy storage adapted to the mitigation of voltage limit violations in the rural PV distribution station areas.Voltage limit violations are mitigated by relocating modular energy storage units to PV distribution station areas and regulating the active charging/discharging power of the energy storage units and the reactive power of the inverters.Specifically，the source-load characteristics of China's rural PV distribution station areas are analyzed.The feeder voltage equation is applied to reveal that the voltage limit …

Inversion Model For Point Of Maximum Vibration In Oil-Immersed Transformer Based On Multiphysics Load-Transfer Characteristics, Xingxing Hao, Haiying Li, Jiancheng Song

Journal of Electric Power Science and Technology

Accurately obtaining data at the point of maximum vibration in a transformer core is one of the challenges in power equipment health management.To address this problem，a new method based on multiphysics modeling and inversion techniques was proposed for detecting the point of maximum vibration acceleration in a transformer.First，a multiphysics load-transfer coupling model incorporating electromagnetic，structural，and fluid fields was used to analyze the vibration mechanism under an alternating and nonuniformly distributed magnetic field.The point of maximum i nternal vibration was then determined through harmonic response analysis.Second，considering data correlations，vibration measurement points on the outer wall of the oil tank that were strongly correlated …

Robust Bidding Strategy Analysis For Charging Stations Considering Response Uncertainty, Xiaofeng Jiang, Bo Zhou, Chun Tang, Yunyang Xu, Wei Wei, Xinwei Sun, Jianwei Yang

Journal of Electric Power Science and Technology

The large-scale integration and interaction of electric vehicles with the power grid have become an inevitable trend.As key entities in the interaction between electric vehicles and the power grid，charging stations can aggregate the charging and discharging resources of electric vehicles to participate in electricity market bidding，thus balancing their own interests and the operational needs of the power grid.Based on this，a model capable of predicting the day-ahead responsive capacity was first proposed by considering the active charging response of electric vehicles.Second，a robust optimization bidding model was established for charging stations participating in the day-ahead electricity market，considering the effects of uncertainties in …

Mechanism-Guided Temporal Representation And Risk-Aware Identification Method For High-Impedance Ground Faults In Distribution Networks Under Multiple Types Of Confusing Disturbances, Huaizhou Liu, Junqin Liu, Feng Deng

Journal of Electric Power Science and Technology

To address the difficulty of representing the weak features of high-impedance ground faults （HIFs ） under multiple types of confusing transient disturbances，as well as the insufficient consideration of missed-detection risk，a mechanism-guided identification method based on multi-scale residual attention temporal representation and a risk-aware light gradient boosting machine （LightGBM ） is proposed.First，using the original zero-sequence current as input，a multi-scale residual attention temporal convolutional network is constructed based on the HIF waveform mechanisms of random arcing，local spikes，half-cycle asymmetry，and nonstationary fluctuations to adaptively extract deep discriminative features at different time scales.Second，the deep temporal features are input into LightGBM，and protection-oriented class risk weights are …

Ask Dr. Wang: A Community Conversation On Ai At Cary Library, Stephen Yang, Zhengjia Yang, Julie Yin, Eric Gu, Jiawei Liu

Paul English Applied Artificial Intelligence (AI) Institute Publications

This report describes a community engagement project by the Youth STEAM Initiative (YSI) in conjunction with a public talk by Dr. Haixun Wang, “How AI Remembers, Imagines, and Creates,” held at the Cary Memorial Library in Lexington, Massachusetts. Prior to the talk, YSI collected questions and perspectives from community members through an online survey, gathering thirteen responses spanning students, parents, and professionals. This report summarizes the talk, themes that emerged from those responses, the community’s views on AI creativity, and reflections from the YSI team.

The Analysis And Conservation Of Hodínöhšö:Ni:H Basketry At The Seneca- Iroquois National Museum, Elena L. Best

Art Conservation Master's Projects

This master’s project documents the analysis, conservation, and collaborative stewardship of Hodínöhšö:ni:h basketry at the Seneca–Iroquois National Museum (SINM), housed within the Onöhsagwë:dé Cultural Center. The project represents a continued partnership between SINM and the Garman Art Conservation Department at SUNY Buffalo State University and addresses both immediate conservation needs and long-term collection care planning.

The multi-phased study included: (1) a condition survey of 115 mold-affected baskets (2) elemental analysis of selected pigments and materials using handheld X-ray fluorescence (XRF); (3) microbiological sampling and preliminary identification of fungal species present on select baskets; (4) the development and implementation of a …

"Stories About Black Heritage In Florence", William Lindsey Mcdonald

Writings

Annotated speech outline about African American heritage in Florence, Alabama. The speech includes an overview of African Americans in Florence and Muscle Shoals and a discussion of notable stories and figures, such as "Tom Brannon and the Capture of John A. Murrell" (winter 1834), Randall Campbell, Dred Scott, Edmund Patton, Sam Patton, and Parson Dick. The document also contains xerox portraits of the notable individuals mentioned.

Extradition In The Early Republic: International Law And Constitutional Authority, Curtis A. Bradley

University of Chicago Law Review

This Article is the first comprehensive account of the constitutional foundations of U.S. extradition practice and its relationship to international law. Through detailed analysis of early American extradition controversies—including the Longchamps Affair and the Robbins case—the Article shows how political actors and courts constructed the modern constitutional law of extradition, resolving key issues concerning presidential power, the role of the states, and the scope of congressional authority. This regime, the Article argues, emerged not from appeals to the constitutional text or original understandings, but rather from structural intuitions, consequentialist considerations, and, as time went on, historical traditions. As the Article …

Native Marburys: Judicial Review In Tribal Courts, Elizabeth Hidalgo Reese

University of Chicago Law Review

Not all of America’s courts have judicial review. This Article is the first to dis- cuss a body of judicial review case law in which this extraordinary judicial power has been rejected, is a recent development, or is not yet a settled question—judicial review cases from tribal courts. In a time when skepticism about the power that judicial review gives to the federal courts is at an all-time high, it is that much more important that we look to other examples of government systems wrestling with whether to give their courts the power of judicial review—to other courts that are …

Establishing A Right To Civil Transcription, Shruti Bax

University of Chicago Law Review

Court reporters have long been a fixture of American jurisprudence, but tightening state budgets and a nationwide shortage of certified reporters have left many state court civil proceedings without any form of verbatim transcription at public expense. While litigants with means can hire private court reporters to accompany them to their proceedings, indigent parties must go without—even though the absence of a transcript is often deadly to one’s chances of prevailing on appeal, no matter how meritorious the claim.

In the 1956 case Griffin v. Illinois, the Supreme Court held that the principle of equal justice demands that “[d]estitute defendants …

Ox Creek Nutrients, Geochemistry And Streamflow Raw Data, Md Helal Ahmmed, Tyson L. Jeannotte, Taufique H. Mahmood

Datasets

This dataset contains hydrologic, nutrient, and hydrogeochemical observations collected from the Ox Creek Watershed, a cold-region agricultural watershed in North Dakota, from 2024 to 2026. The dataset includes laboratory-measured nutrient concentrations and major hydrogeochemical constituents from collected water samples and in situ water-level measurements. The observations span contrasting hydrologic conditions, including spring snowmelt and summer rainfall-runoff events. The dataset supports investigation of how changes in runoff regimes, hydrologic pathways, and hydrogeochemical conditions influence nutrient mobilization and transport in cold-region agricultural watersheds.

"When The Methodist Came To Lawrence Hill", William Lindsey Mcdonald

Writings

Speech outline about the Methodist history of Lawrence Hill, a settlement on LaGrange Mountain, in Leighton, Alabama. The location was the former site of the University of North Alabama's predecessor LaGrange College before its relocation to Florence in Lauderdale County, Alabama and series of name changes.

"The Trail Of Tears" (1999), William Lindsey Mcdonald

Writings

Speech, speech outline, article, and related memorabilia commemorating the sorrow of the Trail of Tears and Commemorative Motorcycle Ride ending in Waterloo, Alabama. The pdf compilation also includes a "5th Annual Trail of Tears Pow Wow" letter signed "Your Brother, Thunderheart"