Digital Commons Network^™

Adaptive Two‑Stage Robust Optimization Scheduling Method For Wind And Solar Power Storage Based On I‑C&Cg Algorithm, Yalong Chen, Guannan Lou, Liantao Ji, Pu Wang, Xiuyan Jing, Jingwen Huang

Journal of Electric Power Science and Technology

As the integration of renewable energy such as wind and solar power greatly increases, the challenges such as wind and solar power curtailment, voltage out-of-limit, and reverse power flow are becoming increasingly prominent in power systems. Pumped storage stands out as the most mature and cost-effective large-scale energy storage solution, which can be combined with renewable energy to help mitigate the fluctuation of renewable energy, improve the system operation flexibility, and enhance the reliability of power supply. The conventional wind-solar power storage and control methods have low efficiency in solving complex scenarios such as uncertain wind and solar power output, …

Impedance Reshaping Strategy For Grid‑Connected Inverter Based On Grid Impedance Identification Via Dual Harmonic Injection, Zhijun Li, Yaxin Wang

Journal of Electric Power Science and Technology

Under weak grid conditions, the interaction between the control function of the grid-connected inverter and the grid impedance will reduce the phase margin of the inverter, aggravate the harmonic oscillations, and even lead to instability of the grid-connected systems. Traditional impedance reshaping strategies for grid-connected inverters can improve the stable operation of the grid-connected system. However, with the growing integration of large shares of new energy sources and new types of loads, the grid impedance presents random variations, which undermines the effectiveness of traditional impedance reshaping strategies designed for fixed scenarios. To solve this problem, an impedance reshaping strategy based …

Structural Differential Privacy In Graph Neural Networks, Bibek Giri

Master’s Dissertations

Graph Neural Networks (GNNs) have demonstrated impressive performance across a range of graph-based learning tasks. However, their application to domains with sensitive relational data raises serious privacy concerns, as the graph structure itself may leak confidential information. This thesis investigates a decentralized framework for enforcing edge-level local di!erential privacy (LDP) in graph-structured data. We introduce two mechanisms that perturb a node’s neighborhood in a privacy-preserving yet utility-aware manner. The first approach replaces randomly selected neighbors with feature-similar nodes from the 2-hop neighborhood, ensuring structural realism while preserving degree. The second approach eliminates the need for explicit 2-hop propagation and dummy …

Effects Of Long Covid On Healthcare Utilization, Michael Gottlieb, Erica S. Spatz, Huihui Yu, Imtiaz Ebna Mannan, Michelle Santangelo, Caitlin Malicki, Nicole L. Gentile, Rachel E. Geyer, Alex Charlton, Jonathan W. Dyal, Joann G. Elmore, Kristyn Gatling, Mandy J. Hill, Juan Carlos C. Montoy, Kelli N. O'Laughlin, Kristin L. Rising, Sharon Saydah, Kari A. Stephens, Ralph C. Wang, Lauren E. Wisk, Arjun K. Venkatesh, Robert A. Weinstein

Jefferson Center for Connected Care Faculty Papers

BACKGROUND: While most research on Long COVID (LC) has focused on symptoms and quality of life, there remains a critical need to better understand the effect of LC on resource utilization. This study sought to determine the type and amount of healthcare utilization among participants with versus without LC.

METHODS: This was a secondary analysis of a prospective, longitudinal, multicenter U.S. study of adult participants with symptomatic COVID-19, confirmed with testing, who completed 3-month post-infection surveys and had electronic health record data for at least 180 days pre- and post-index testing. We excluded participants with any COVID-19 infections within the …

Temporal And Generational Changes In Depression Among Young American Adults, Ashley W. Kranjac, Dinko Kranjac, Valentine Chung

Sociology Faculty Articles and Research

The prevalence of depression among young American adults has risen significantly over the past two decades, but the mechanisms that underlie the population-level changes in depressive symptoms severity remain unclear. We used data from the 2005–2023 National Health and Nutrition Examination Survey (NHANES) and hierarchical age–period–cohort (HAPC) analysis to examine developmental (i.e., age), life stage (i.e., period), and generational (i.e., cohort) distribution of depressive symptoms among American adults aged 20–30 years old over an 18-year period. Our model results indicate that the probability of either mild, moderate, or severe depression increased among young adult females and males between 2005 and …

Reaching The Young And Hopeless: Rooting For Redemption At A Residential Treatment Center, Christian P. Newton

Say Something Theological: The Student Journal of Theological Studies

This article reflects on my experiences as an educator at a Residential Treatment Center, observing the spiritual battles being fought by some residents as they attempt to rectify their lives after their involvement in sexual abuse. It will review literature that has been successful in my classroom with helping young people change their mind concerning their irredeemableness and that can also improve how evangelical attempts across Christian dominations pastor to those who feel scorned by God. Due to the mentality of some residents who have deeply struggled with the concepts of forgiveness and regret, literature is offered as starting point …

Longitudinal Associations Between Waking Movement Behaviors And Health-Related Quality Of Life In Older Adults: A Compositional Data Analysis Approach, Jaclyn P. Maher, Alexander Jochim, Yeongjun Seo, Brynn L. Hudgins, Iman F. Khan, Peyton A. Greco, Emily M. Postlehwait, Om L. Patel, Krista S. Leonard, Chih-Hsiang Yang, Denver M. Y. Brown

Faculty Publications

Objectives

Movement behaviors, such as sedentary behavior (SB), light intensity physical activity (LPA), and moderate to vigorous intensity physical activity (MVPA) are mutually exclusive, in that time spent in one behavior inevitably displaces time spent in another. Yet, few studies have simultaneously considered these health behaviors and their association with health-related quality of life (HRQoL), an important indicator of health and well-being in aging populations. This study aimed to explore the role of waking movement behaviors (i.e., SB, LPA, MVPA) in prospectively predicting HRQoL in older adults. The study further aimed to cross-validate associations between movement behaviors and HRQoL using …

An Ai-Driven Framework For Real-Time Fake News Detection: Developing A Machine Learning-Based Filter For News Platforms In The United States, Umma Twaha, Yeasin Arfin

Engineering and Technology

The proliferation of fake news across digital platforms poses a significant threat to democratic processes, public health, and social cohesion in the United States. Manual fact-checking and traditional moderation approaches are increasingly inadequate due to the scale, speed, and sophistication of misinformation campaigns. This presents an AI-driven framework for real-time fake news detection, designed to serve as an intelligent filter for news platforms operating within the US media ecosystem. Leveraging natural language processing (NLP) techniques and machine learning algorithms—including supervised classifiers and deep learning models such as BERT and LSTM—the framework identifies deceptive content with high precision and low latency. …

Zero Trust Architecture For Electric Transportation Systems: A Systematic Survey And Deep Learning Framework For Replay Attack Detection, Grace Muriithi, Behnaz Papari, Ali Arsalan, Laxman Timilsina, Alex Muriithi, Elutunji Buraimoh, Asif Khan, Gokhan Ozkan, Christopher Edrington, Akram Papari

Montclair State University Scholarship & Creative Works

Modern and autonomous hybrid electric vehicles (HEVs), as complex cyber-physical systems, represent a key innovation in the future of transportation. However, the increasing interconnectivity and reliance on digital components expose these vehicles to significant cybersecurity risks. To address these challenges, Zero Trust Architecture (ZTA) has emerged as a promising security framework. Operating on the principle of ‘never trust, always verify,’ ZTA offers a comprehensive approach to ensuring continuous trust verification in HEV systems. Despite its potential, the application of ZTA within cyber-physical vehicular systems remains underexplored, and its practical benefits and limitations are not yet fully understood by the engineering …

Utilizing The Combinatory Power Of Chemotherapeutic Compounds In Triple Negative Breast Cancer Cells, Matthew I. Hyder

Biology Summer Fellows

Breast cancer is the leading cause of cancer-related deaths among women worldwide and the second most common cause of cancer deaths in women in the United States. Genetic variants that increase the risk of breast cancer include mutations in the breast cancer susceptibility genes 1 and 2 (BRCA1 and BRCA2). Apoptosis, or programmed cell death, is a natural process that helps the body remove aged cells. However, in cancer, deregulated apoptotic signaling—especially the activation of anti-apoptotic mechanisms—enables cancer cells to evade this process, leading to uncontrolled proliferation, tumor survival, therapeutic resistance, and cancer recurrence. Most anti-cancer drugs function as chemotherapeutic …

Prediction Of Underground Cable Health Index Based On Iga‑Bp Neural Network, Jinbo Huang, Guoping Zou, Jiange Jiao, Xiangrong Chen, Tianjian Zhao

Journal of Electric Power Science and Technology

With cable equipment being widely deployed, cable faults have threatened the safe operation of the power grid. Traditional operation and maintenance work has difficulty in accurately predicting the current health status of cable insulation. To address this issue, a cable health index prediction method based on an improved genetic algorithm-back propagation (IGA-BP) neural network model is proposed. Since the rate of parameter change in underground cables varies at different aging stages, the method incorporates recent aging trend characteristics into both the fitness function and mutation operator during parameter optimization. By distinguishing individuals based on these aging characteristics, the model enhances …

Transmission And Distribution Coordination Model Considering Risk Of Flexibility Supply And Demand Imbalance, Zhongkuan Han, Yu Shen, Zhensong Zeng

Journal of Electric Power Science and Technology

A high proportion of distributed energy sources connected to the grid makes the problem of insufficient system flexibility increasingly prominent, while the coupling of transmission and distribution networks further increases. First, the traditional flexibility demand model is improved based on the probability box method, and the probability box boundaries are truncated through a variable confidence interval and the conditional value-at-risk method to improve the conservatism of the probability box boundaries. Subsequently, economic models of the transmission network and the distribution network are established, respectively, and a transmission and distribution coordination model considering the risk of flexibility supply and demand imbalance …

Optimal Switch Allocation In Distribution Networks Considering Interruption Frequency And Source‑Load Uncertainty, Yang Liu, Chun Wang, Min Zhang, Fei Wang

Journal of Electric Power Science and Technology

To reduce the system’s interruption frequency, a coordinated optimization method for load switches and circuit breakers in a distribution network is proposed, with the system’s average interruption frequency introduced as a constraint. By considering the uncertainty of distributed generation and load, a sample matrix is generated using Latin hypercube sampling, and the uncertainty problem is transformed into a deterministic problem by applying a multi-scenario analysis method. To improve the efficiency of island partitioning, a heuristic method is proposed to determine the scope of islands. Case analysis is carried out on an improved IEEE RBTS-BUS6 F4 distribution system. The results show …

Fire Risk Prediction Of Distribution Lines Based On Rf‑Adaboost Algorithm, Tian Tian, Jun Wang, Xin Ning, Zhang Sun, Xin Wang

Journal of Electric Power Science and Technology

In response to wildfires that threaten the stable operation of distribution lines, it is important to establish a fire risk prediction model for distribution lines. However, the scarcity of data on wildfires causes sample imbalance, affecting the accuracy of the model. To this end, based on the influencing factors such as meteorological, geographic, combustible, and social factors, support vector machines and the idea of cost sensitivity are used to assign more weight to minority samples. Recursive feature elimination is used to select features that favor minority class classification. On this basis, a fire risk prediction model for distribution lines based …

Phased Voltage Control Strategy For Dg In Low‑Voltage Distribution Station Areas Based On Cloud‑Edge Collaboration, Shuaihu Li, Tan Zou, Handian Li, Zhidan Zhang, Yijia Cao

Journal of Electric Power Science and Technology

In view of the voltage overrun problem triggered by the unsynchronized peak output period of distributed generation (DG) and heavy load period in low-voltage distribution station areas, a phased voltage control strategy for DG in station areas based on cloud-edge collaboration is proposed. First, the historical operation data of the station area collected by the intelligent fusion terminal is received through the cloud master station, and a short-term prediction model of voltage based on spectral graph theory and graph convolution network is constructed at the cloud layer; then, the intelligent fusion terminal at the edge layer makes short-term prediction of …

Resilience Enhancement Strategy For Distribution Network Considering Coordination Of Intelligent Soft Open Points And Multiple Emergency Resources, Zifa Liu, Wenbo Xue

Journal of Electric Power Science and Technology

In view of the significant impact of extreme events on power system security, enhancing grid resilience has become a research hotspot. Therefore, a pre-event prevention and post-event coordinated recovery strategy considering intelligent soft open points (SOPs) and multiple emergency resources is proposed to improve the resilience of the distribution system. In the pre-event stage, to effectively reduce post-event resource scheduling time, a robust optimization model considering the uncertainty of power output is constructed based on predicted fault scenarios. A column-and-constraint generation algorithm is used to obtain pre-event deployment decisions. In the post-event stage, to minimize the curtailed load power through …

Characteristics Of Single‑Phase Fire‑Contact And Tree‑Contact Faults In Medium‑Voltage Overhead Lines, Meng Wang, Yi Zeng, Longshan Yang, Tianxiang Chen, Songhai Fan, Chi Wu

Journal of Electric Power Science and Technology

In recent years, there have been numerous wildfires caused by various factors, seriously affecting the safe operation of overhead distribution lines. In addition to the contact between overhead lines and trees, human use of fire and lightning are also among the causes of wildfire accidents. The 10 kV overhead line is taken as the research object, and an experimental research platform for single-phase fire-contact and tree-contact faults is built. By means of a high-resistance ground fault model and a comparison in the time and frequency domains, the characteristics of the two faults are analyzed, and the change rules of leakage …

Model Analysis Of Typical Areas With Safe Power Supply Via 10 Kv Lines, Wei Zhu, Ruzhou Hong, Aiyuan Li, Yanyao Zhou

Journal of Electric Power Science and Technology

Power supply via 10 kV lines is generally achieved in a radial branch structure, and low voltage problems are prone to occur at the end of the branch lines. The analysis of typical areas with safe power supply via 10 kV lines is the basis for the study of distribution network expansion and planning methods. The voltage drop characteristics of 10 kV lines are analyzed, and a simplified calculation method for the voltage drop along the line is derived. The power supply areas of the 10 kV distribution network are decomposed into four typical supply area models: rectangular, diamond-shaped, front-triangular, …

Online Modeling Method Of Comprehensive Load Model For New Power System Based On Measurement Information, Guihua Qiu, Zijia Kuang, Shuhong Wu

Journal of Electric Power Science and Technology

The load model has an important influence on the simulation analysis results of the power system, but the current load modeling methods are difficult to adapt to the diversity and time-varying characteristics of the new power system load in terms of model accuracy and computational efficiency. To address this issue, an online modeling method of the comprehensive load model for the new power system based on measurement information is proposed. Firstly, the dominant factors affecting the comprehensive load model are analyzed based on the activation subspace of parameter space. Then, according to the characteristics of the daily output curve of …

Research On Key Technologies For Ar Feature Extraction In Relay Protection Operation Sites, Yongzhi Zhang, Yongting Zhang

Journal of Electric Power Science and Technology

The relay protection operation requires strict technical operation and high accuracy. In response to the current challenges of high complexity and poor universality in modeling with augmented reality (AR) applications, a feature extraction edge computing framework is proposed. Firstly, the Canny algorithm is applied to perform edge analysis on the meter, pressure plate, and terminal block of the protection cabinet. To address salt-and-pepper noise in the images, a fixed-window median filtering method is employed for prepossessing. The improved Sobel operator optimizes gradients in the horizontal and vertical directions, and a set of contour boundary lines is constructed using the least …

Optimal Siting Of Offshore Booster Station For Wind Power Collection System Based On Dmst‑Pso Algorithm, Yan Li, Xiaokun Liu, Wenqian Zhao, Haoyuan Song, Guancheng Zhen, Yuwei Liang

Journal of Electric Power Science and Technology

The siting of offshore booster stations for power collection systems has an important impact on the construction and operation costs of offshore wind farms. The siting problem of offshore booster stations is essentially an optimization problem based on the topology of the submarine cable. The key to siting optimization of the offshore booster station lies in determining the optimal submarine cable routing. A DMST‑PSO algorithm, combining the dynamic minimum spanning tree (DMST) algorithm with dynamic edge weights and the particle swarm optimization (PSO) algorithm, is proposed for the siting of offshore booster stations for wind power collection systems, aiming at …

Strategy For Improving Wind‑Solar Consumption Rate In Mountainous Cities Based On Vmd‑Bi‑Lstm And V2g, Li Cai, Bingjie Shang, Qingshan Xu, Juan Yan, Haihong Bian, Yi Zhang, Xiaojiang Zou

Journal of Electric Power Science and Technology

To address the current energy abandonment phenomenon of new energy sources such as wind power and photovoltaic power, an orderly charging and discharging strategy for electric vehicles (EVs) is proposed to promote wind-solar consumption. This strategy uses the vehicle-to-grid (V2G) interaction technology and aims to maximize the regional wind-solar consumption rate, minimize power load fluctuation, and maximize the power company’s electricity sales benefit in the context of mountainous cities by establishing a multi-objective charging model. The output of wind power and photovoltaic power is predicted using variational mode decomposition combined with a bidirectional long short-term memory (Bi-LSTM) network. Based on …

Multi‑Stage Robust Planning Of Energy Supply Structure Of Distribution Network Considering Carbon Neutrality Effect, Xubin Xing, Xiong Peng, Xiaoyan Zhao, Chong Gao, Wei Lan, Jiayan Liu, Yong Li

Journal of Electric Power Science and Technology

Building a new power system dominated by new energy is the fulcrum of a new round of energy transition and revolution and an important pathway to achieving carbon peaking and carbon neutrality goals. By considering the uncertainty of wind and solar output and load fluctuations, a multi-stage robust planning method for the energy supply structure of distribution networks is proposed, incorporating the effect of carbon neutrality. First, the optimal investment capacity plan for equipment is formulated. Next, the operation plan of the distribution network is optimized under the consideration of uncertain factors, so as to minimize the daily operating cost …

Power Supply Restoration Strategy Considering Regulation Capability Of Flexible Resources, Dejin Feng, Yi Zhao, Xiaoyi Qian, Wenyao Sun

Journal of Electric Power Science and Technology

The rapid development of new energy technologies will make them the main source of power generation in the future. However, the intermittent and fluctuating characteristics of new energy power generation make it highly susceptible to environmental influences. In view of insufficient power supply in urban distribution networks under extreme weather conditions, a power supply restoration strategy considering the regulation capability of flexible resources is proposed. Firstly, air conditioners and electric vehicles, which are typical adjustable flexible resources in urban distribution networks, are modeled, and their regulation capabilities are evaluated. Next, based on the evaluation results, the optimal power supply restoration …

Islanded Microgrid Control Strategy Based On Improved Consensus Algorithm, Zewen Li, Ziling Mao, Yuanchuan Wang, Juncheng Fu, Yixiang Xia

Journal of Electric Power Science and Technology

The convergence speed for islanded microgrid systems using classical consensus control is slow, but the current improved consensus algorithm makes it difficult to meet the requirements of “plug and play” for distributed generation. Therefore, an improved consensus algorithm is proposed. By introducing the overall error elimination term, the information exchange between each distributed generation and the overall error elimination term acquisition are achieved without changing the original topology, and the stability of the improved consensus algorithm is verified through simulation. Subsequently, a control strategy based on the improved consensus algorithm is proposed, achieving frequency stability and precise power distribution for …

Ground Fault Detection Of Dc System Ring Network Based On Improved Hho‑Wnn, Zhen Yang, Yongxiang Li, Yanru Zhao, Juan Mo, Tao Gao

Journal of Electric Power Science and Technology

A direct current (DC) system is key to maintaining the normal operation of a substation. To address the difficulties of detecting ground faults in DC system ring networks, a ground fault detection method combining Harris Hawk optimization (HHO) and wavelet neural network (WNN) is proposed based on the traditional low-frequency signal injection method. The proposed method first collects the status of the ring network operation by low-frequency signal injection and then applies the Mallat wavelet decomposition algorithm to decompose the initial signal of each branch into four layers. The low-frequency coefficient waveforms are obtained, and the waveform energy is calculated …

Short‑Term Power Load Forecast Method Based On Fully‑Connected Spatio‑Temporal Graph, Zhiyuan Xu, Zhuoyao Miao, Zhuo Long, Gongping Wu, Feng Deng, Le Deng

Journal of Electric Power Science and Technology

Short-term load forecast is an important task in power systems. However, existing studies have overlooked the spatio-temporal adjacency between multi-sequence loads. In some cases, considering this spatio-temporal adjacency can improve the prediction accuracy. To address this problem, a fully‑connected graph-based graph convolutional neural network (FCGCN) is proposed. The network first encodes the multi-sequence load data into the node feature matrix of the graph, which is combined with the method of position encoding to increase the order information of the load data. The adjacency matrix of the graph is built by using the dynamic time warping (DTW) algorithm, thus forming a …

Power System And Comprehensive Energy Knowledge Graph Based On Neo4j Graph Database, Xiaolong Ren, Xi Chen, Hengbin Si, Shuang Tian

Journal of Electric Power Science and Technology

At present, the scale of the power grid is expanding, and the amount of knowledge in power systems is increasing explosively. In order to organize, manage, and utilize mass knowledge effectively, knowledge graph technology is introduced into the field of power systems and comprehensive energy systems. Common relational databases of Oracle and structured query language (SQL) need to use tables to store data and query and analyze data through complex relationships, which is more complicated when dealing with complex relationships. The Neo4j graph database represents data as nodes and edges, which makes the correlation between entities and relationships intuitively expressed …

Localization Of Leakage Caused By Low‑Voltage Wiring Errors On User Side Based On Correlation Analysis And Gradient Boosting Decision Trees, Junfeng Zheng, Chaoqiang Chen, Feng Chen, Yaxuan Chen

Journal of Electric Power Science and Technology

Neutral and ground wiring errors on the user side are common in low-voltage transformer districts, which can cause user load currents to be converted into residual currents, resulting in frequent tripping of residual current circuit protection devices in the transformer district and their forced deactivation, thereby posing a threat to electrical safety. Since such wiring errors are present on the user side and are difficult to locate and troubleshoot, they have become a major obstacle to the deployment of residual current protection in transformer districts. This paper proposes a method for locating the user-side leakage due to wiring errors based …

Research On Coordinated Control Strategy Employing D‑Statcom Based On Voltage Transient Rate Of Change, Wenglong Li, Xiu Yang, Xiaoli Zhao, Danzhen Gu, Xuejun Xiong, Yajun Zhang, Yuyao Feng

Journal of Electric Power Science and Technology

To solve serious problems such as equipment shutdown caused by voltage dips due to short-circuit faults in distribution networks, a coordinated control strategy employing a distribution network static synchronous compensator (D-STATCOM) based on the voltage transient rate of change is proposed. Firstly, the control of voltage by the traditional control strategy is improved. An undervoltage module is activated when a short-circuit fault occurs in the distribution network, increasing the reactive power output of D-STATCOM to suppress the voltage dip during the fault. At the end of the fault, an overvoltage module is activated to decrease the reactive power output of …