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Affordable Ambient Particulate Matter Monitoring, Alexander H. Miroballi Jul 2025

Affordable Ambient Particulate Matter Monitoring, Alexander H. Miroballi

Summer Interdisciplinary Research Symposium

The affordability of ambient air monitors has allowed the public to make informed decisions about their local air quality. The accuracy of these monitors, along with the accessibility of them to the general public is therefore important. While most low-cost monitors are not as accurate as EPA’s standards, they still perform comparably and with an accuracy that is acceptable for their purpose. The accessibility of these monitors is more varied as different ones have used different methods to improve their accessibility. We found that most of the monitors we analyzed were both accurate and accessible to the public, with cost …

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Hydrogen Splitting With Solar Thermochemistry, Kaylee Roberts, Brian Sponaugle, Gil Guinto, Josh Roemer Jul 2025

Hydrogen Splitting With Solar Thermochemistry, Kaylee Roberts, Brian Sponaugle, Gil Guinto, Josh Roemer

Summer Interdisciplinary Research Symposium

To investigate the production of solar hydrogen with perovskite redox cycles, we have developed two experimental platforms. First is an infrared (IR) furnace, which can expose perovskite materials to hundreds of redox cycles to evaluate hydrogen production stability. We have synthesized multiple perovskites to evaluate which best produces hydrogen over many cycles. We created a loading procedure and assembly aids to facilitate repeatable loading of the perovskite samples. We configured flow controllers and valves to supply process gases to carry out the perovskite redox cycle, including the option for a flow reversal configuration. Perovskite performance is quantified in terms of …

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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 Jul 2025

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, …

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Math Information Retrieval From Images Via Formula Extraction, Vector Embedding, And Multimodal Llm-Based Question Answering, Angel Wheelwright Crawford Jul 2025

Math Information Retrieval From Images Via Formula Extraction, Vector Embedding, And Multimodal Llm-Based Question Answering, Angel Wheelwright Crawford

Theses and Dissertations

Math Information Retrieval (MIR) aims to revolutionize the retrieval of math information by addressing the challenges in representing, retrieving, and producing highly specialized math content. In order to develop a robust MIR system, designers must be able to process math equations (MEs) to a format that different systems can use, which is difficult due to various formats math information are stored in, including visual images and document texts. To improve the usage of math information in varied forms for people who are learning and utilizing math, we propose three different methods of handling ME data. The first method is a …

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Structural Differential Privacy In Graph Neural Networks, Bibek Giri Jul 2025

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 …

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Multiscale Modeling And Dynamic Mutational Profiling Of Binding Energetics And Immune Escape For Class I Antibodies With Sars-Cov-2 Spike Protein: Dissecting Mechanisms Of High Resistance To Viral Escape Against Emerging Variants, Mohammed Alshahrani, Vedant Parikh, Brandon Foley, Gennady M. Verkhivker Jul 2025

Multiscale Modeling And Dynamic Mutational Profiling Of Binding Energetics And Immune Escape For Class I Antibodies With Sars-Cov-2 Spike Protein: Dissecting Mechanisms Of High Resistance To Viral Escape Against Emerging Variants, Mohammed Alshahrani, Vedant Parikh, Brandon Foley, Gennady M. Verkhivker

Mathematics, Physics, and Computer Science Faculty Articles and Research

The rapid evolution of SARS-CoV-2 has underscored the need for a detailed understanding of antibody binding mechanisms to combat immune evasion by emerging variants. In this study, we investigated the interactions between Class I neutralizing antibodies—BD55-1205, BD-604, OMI-42, P5S-1H1, and P5S-2B10—and the receptor-binding domain (RBD) of the SARS-CoV-2 spike protein using multiscale modeling, which combined molecular simulations with the ensemble-based mutational scanning of the binding interfaces and binding free energy computations. A central theme emerging from this work is that the unique binding strength and resilience to immune escape of the BD55-1205 antibody are determined by leveraging a broad epitope …

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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 Jul 2025

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. …

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Mechanical Properties And Temperature Resistance Of Fly Ash-Based Geopolymer Concrete, Hala Emad Elden Fouad, Mohamed I. Serag, Ahmed Ragab, Abdelrahman Hussein Jul 2025

Mechanical Properties And Temperature Resistance Of Fly Ash-Based Geopolymer Concrete, Hala Emad Elden Fouad, Mohamed I. Serag, Ahmed Ragab, Abdelrahman Hussein

Mansoura Engineering Journal

Global warming is pressing issue, primarily driven by increasing in greenhouse gas emissions with CO2 accounting for 64% of total emissions. It was founded that produce one ton of Ordinary Portland Cement (OPC) producing one ton of CO2. To address these issues, geopolymers derived from fly ash (FA) have been proposed as a superior alternative to cement. This research presents a comparative review of OPC and FA-based geopolymers in the context of CO2 sequestration. The research investigates the behavior of FA-based geopolymer cement, focusing on the influence of preparation conditions on its mechanical performance, bond strength, and the effect of …

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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 Jul 2025

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 …

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Prediction Of Underground Cable Health Index Based On Iga‑Bp Neural Network, Jinbo Huang, Guoping Zou, Jiange Jiao, Xiangrong Chen, Tianjian Zhao Jul 2025

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 …

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Transmission And Distribution Coordination Model Considering Risk Of Flexibility Supply And Demand Imbalance, Zhongkuan Han, Yu Shen, Zhensong Zeng Jul 2025

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 …

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Optimal Switch Allocation In Distribution Networks Considering Interruption Frequency And Source‑Load Uncertainty, Yang Liu, Chun Wang, Min Zhang, Fei Wang Jul 2025

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 …

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Fire Risk Prediction Of Distribution Lines Based On Rf‑Adaboost Algorithm, Tian Tian, Jun Wang, Xin Ning, Zhang Sun, Xin Wang Jul 2025

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 …

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Resilience Enhancement Strategy For Distribution Network Considering Coordination Of Intelligent Soft Open Points And Multiple Emergency Resources, Zifa Liu, Wenbo Xue Jul 2025

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 …

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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 Jul 2025

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 …

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Model Analysis Of Typical Areas With Safe Power Supply Via 10 Kv Lines, Wei Zhu, Ruzhou Hong, Aiyuan Li, Yanyao Zhou Jul 2025

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, …

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Research On Key Technologies For Ar Feature Extraction In Relay Protection Operation Sites, Yongzhi Zhang, Yongting Zhang Jul 2025

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 …

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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 Jul 2025

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 …

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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 Jul 2025

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 …

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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 Jul 2025

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 …

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Power Supply Restoration Strategy Considering Regulation Capability Of Flexible Resources, Dejin Feng, Yi Zhao, Xiaoyi Qian, Wenyao Sun Jul 2025

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 …

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Islanded Microgrid Control Strategy Based On Improved Consensus Algorithm, Zewen Li, Ziling Mao, Yuanchuan Wang, Juncheng Fu, Yixiang Xia Jul 2025

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 …

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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 Jul 2025

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 …

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Power System And Comprehensive Energy Knowledge Graph Based On Neo4j Graph Database, Xiaolong Ren, Xi Chen, Hengbin Si, Shuang Tian Jul 2025

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 …

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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 Jul 2025

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 …

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Research On Corrosion Diagnosis For Grounding Grid Based On Improved Seagull Optimization Algorithm, Liangde Xu, Ting Guo, Xun Lu, Xinmiao Liu, Zhonghao Chen, Linlin Hu, Shiying Li, Peizhun Li, Fubo Zou Jul 2025

Research On Corrosion Diagnosis For Grounding Grid Based On Improved Seagull Optimization Algorithm, Liangde Xu, Ting Guo, Xun Lu, Xinmiao Liu, Zhonghao Chen, Linlin Hu, Shiying Li, Peizhun Li, Fubo Zou

Journal of Electric Power Science and Technology

When an existing open station is converted into a terminal station arranged within the user’s premises, due to the generally compact area of the station, the reliability requirements for the grounding grid are higher, and the diagnosis and evaluation of the corrosion status of the grounding grid are becoming increasingly important. At present, the main method for diagnosing corrosion in grounding grids without excavation relies on electrical network theory analysis. However, this method is prone to having more branches than the number of observable nodes in diagnosis, leading to a high degree of uncertainty. Therefore, an improved seagull optimization algorithm …

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Research On Real‑Time Power Scheduling Optimization Considering Renewable Energy Characteristics, Guoming Luo, Xiaoyun Huang, Xinming Fan Jul 2025

Research On Real‑Time Power Scheduling Optimization Considering Renewable Energy Characteristics, Guoming Luo, Xiaoyun Huang, Xinming Fan

Journal of Electric Power Science and Technology

In power systems with large amounts of renewable energy and high variability, conventional scheduling methods cannot adequately accommodate the effects of the above variability. A scheduling optimization method is proposed to evaluate the optimal unit participation factor by considering the variability of solar, wind, and load demand. Both sequential and dynamic models are used, and variability and uncertainty costs are considered in the optimization process. Since the participation factor fitting function is optimized only once at the beginning of the scheduling interval, the dimensions of the proposed scheduling optimization model are the same as those of the conventional method. The …

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Ies‑Plan Platform‑Based Planning And Design Solution For Integrated Energy Systems, Mingyang Gao, Suyang Zhou, Wei Gu, Qingquan Chen, Yue Qiu, Aobo Guan Jul 2025

Ies‑Plan Platform‑Based Planning And Design Solution For Integrated Energy Systems, Mingyang Gao, Suyang Zhou, Wei Gu, Qingquan Chen, Yue Qiu, Aobo Guan

Journal of Electric Power Science and Technology

Establishing an integrated energy system (IES) is an effective means to promote the efficient utilization of energy resources. Reasonable planning and design software for IESs can provide tailored design solutions according to engineering needs. However, the lack of multi-scenario-compatible planning software remains a bottleneck for the widespread industrial application of IESs. To address this issue, a comprehensive and highly reliable IES plan (IES-PLAN) design platform has been developed to scientifically guide users in designing reliable, low-carbon, and efficient IESs. The platform offers a graphical interaction interface, allowing users to flexibly set planning scenarios and goals based on their needs. To …

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Active Damping Control Based On Virtual Resistance For Stand‑Alone Dc Microgrid, Xin Tang, Shuai Wang, Zhen Li, Xin Huang Jul 2025

Active Damping Control Based On Virtual Resistance For Stand‑Alone Dc Microgrid, Xin Tang, Shuai Wang, Zhen Li, Xin Huang

Journal of Electric Power Science and Technology

Due to the presence of a large number of constant power loads (CPLs) in a stand‑alone DC microgrid, the damping of the DC microgrid is reduced, leading to oscillations and even significant drops in the DC bus voltage. To address this issue, an active damping method is proposed to improve system stability. The damping of the converter is increased to suppress the resonant peak by connecting a virtual resistance in parallel at the port of the energy storage converter without adding extra sensors. The method for designing the active damping parameters is provided, and the effect of the proposed parallel …

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Two‑Level Pricing Strategy For Electric Vehicle Charging Stations Based On Multi‑Agent Stackelberg Game, Lei Yu, Rui Wang, Shan Cheng, Lyuzerui Yuan, Xinhao Lin, Tao Ran Jul 2025

Two‑Level Pricing Strategy For Electric Vehicle Charging Stations Based On Multi‑Agent Stackelberg Game, Lei Yu, Rui Wang, Shan Cheng, Lyuzerui Yuan, Xinhao Lin, Tao Ran

Journal of Electric Power Science and Technology

To address the existing challenges in the orderly scheduling of electric vehicle (EV) charging and discharging, including the insufficient characterization of dispatchable capacity, inadequate consideration of multi-agent interests, and improper pricing mechanisms for charging stations, a two-level pricing strategy for EV charging stations based on a multi-agent Stackelberg game model is proposed. Firstly, in consideration of factors influencing charging behavior, the responsiveness of EV users is assessed, and a model for predicting the dispatchable capacity of charging stations is developed. Secondly, the game relationships among various agents are discussed. According to the EV user response willingness and the theory of …

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