Digital Commons Network^™

Grid Dispatching Strategy For Wireless Charging Road Planning Based On Stackelberg Game, Xinkun Dong, Yonghui Liu

Journal of Electric Power Science and Technology

This paper investigates the planning of wireless charging lanes and further explores the impact of electric vehicles (EVs) charging on the power grid while using these lanes. Firstly, a novel road network traffic model is established based on the distribution of roads, charging stations, and traffic conditions. By analyzing the congestion coefficients of various roads, an optimal planning for wireless charging lanes is proposed. Subsequently, a Stackelberg game model is formulated, where the grid operator acts as the leader and EV users, whose charging behavior aligns with an improved demand response function, act as followers. Finally, the particle swarm optimization …

Capacity Configuration Of Multi‑Functional Electric‑Hydrogen Hybrid Energy Storage System In Grid‑Friendly Wind Farm, Xisheng Wang, Hui Liu, Di Liu, Xianmiao Huang, Yiming Zhao, Kairang Wang, Mingchao Xia, Binhui Pei

Journal of Electric Power Science and Technology

Optimizing the allocation of energy storage resources within wind farms can effectively mitigate the negative impacts of wind power induced strong randomness and volatility on the power system, promoting the construction of grid-friendly wind farms. Currently, wind farm energy storage systems face issues such as single application functions, low equipment utilization rates, and poor profitability, which constrain the large-scale application of energy storage systems in wind farms. To address these issues, this paper proposes a method for optimizing the capacity allocation of a multifunctional electrical-hydrogen hybrid energy storage system in wind farms, incorporating various energy storage application functions such as …

Interaction Between Electric Vehicles And Power‑Transportation Coupled Networks: Current Status, Challenges And Development Trends, Jiayan Liu, Zukun Li, Chang Li, Yong Li

Journal of Electric Power Science and Technology

With the widespread popularization of electric vehicles (EVs) and the increasing level of electrification in transportation, there is a growing trend of deep coupling between the distribution grid and the transportation network. Achieving efficient interaction between EVs and the power-transportation coupled network can effectively enhance the stability of grid operation and alleviate congestion in the transportation network, thus becoming a research hotspot in the fields of power systems and EVs. This paper provides a comprehensive introduction to the basic concept of the power-transportation coupled network and delves into three key areas: modeling and state prediction of the power-transportation coupled system, …

Optimized Design Of High Frequency Ice Melting Power Supply Parameters Based On Nsga‑Ⅱ, Han Du, Ci Tang, Min Luo, Jiayi Wang, Zhenzhong Wang, Xuyi Kuang, Yile Zhang

Journal of Electric Power Science and Technology

Transmission line ice-covering accidents occur frequently in winter in China, and the high-frequency ice-melting method based on dielectric loss and skin effect has significant advantages over traditional AC-DC ice-melting heat generation. Aiming at the design problems of frequency and voltage of ice melting power supply in high frequency and high voltage online ice melting, a NSGA-Ⅱ based high-frequency ice melting power supply parameters design method considering line constraints is proposed. Firstly, based on the uniform transmission line theory, the equivalent transmission line circuit model of the ice-covered wire is established; secondly, from the engineering reality and combined with the principle …

Optimal Operation Strategy Of Integrated Energy Virtual Power Plant Based On Production Priority Of Carbon Emission, Fengren Yang, Hong Wang, Zhijie Wang

Journal of Electric Power Science and Technology

With the continuous development of the integrated energy trading market, the issue of uncontrollable carbon emissions has become increasingly prominent. To minimize carbon emissions in the integrated energy trading market, this paper first constructs a system configuration for an electricity-heat-cooling-gas integrated energy virtual power plant, and establishes a demand conversion model and a carbon emission production priority index for it. Next, a comprehensive energy trading allocation model based on carbon emission production priority is developed. Then, based on the determined energy trading volumes, the pricing and demand response strategies for various energies are optimized with the goal of maximizing the …

Fractional‑Order Integral Sliding Mode Control Strategy Based On Mmc Under Unbalanced Grid Conditions, Xuhong Yang, Chun Yuan, Fengwei Qian, Congcong Yin, Qiming Cheng

Journal of Electric Power Science and Technology

To enhance the system performance of the modular multilevel converter (MMC) under unbalanced grid conditions, this paper proposes a fractional order integral sliding mode control (FO-I-SMC) strategy. Firstly, the topology of the MMC is analyzed, and the fundamental frequency external characteristic equations of positive- and negative-sequence voltages and output currents, as well as the double frequency internal characteristic equations of positive-, negative-, and zero-sequence circulating currents, are derived. Secondly, combining the control objectives with the mathematical model of the MMC, a fractional order sliding mode controller is designed for application in unbalanced grid voltages. This controller aims to reduce the …

Optimization Strategy For Energy Storage Configuration In High Proportion Wind Power System Considering Frequency Safety Constraints, Jianhua Sun, Jiaxu Wang, Xiaoyong Du, Chunsun Tian, Junwei Qin, Changhui Guo, Tingtao Wang, Shihong Miao

Journal of Electric Power Science and Technology

In recent years, the large-scale integration of wind turbines, characterized by strong uncertainty and weak support capability, has posed significant challenges to the frequency security of power systems. To enhance the stable operation capability of power systems with a high proportion of wind power, this paper proposes an optimal energy storage allocation strategy considering frequency security constraints. Firstly, the multi-agent frequency response expression for power systems with a high proportion of wind power is derived, and a dynamic frequency response model for the entire system is established. Secondly, aiming to minimize the annual total cost of the power system, an …

Identification Of Grid-Connected Units With The Weakest Small‑Signal Stability In Multiple Renewable Energy Stations Based On Generalized Nyquist Criterion, Bo Chen, Qi Si, Yanhong Chen, Xiang Tao, Kai Wang, Xiaojuan Zhu, Zhiping Wu, Yongsheng Zhang

Journal of Electric Power Science and Technology

The integration of a large number of renewable energy grid-connected converters into the power grid can easily trigger small-signal instability, posing a serious threat to the safety and stability of the system. The existing small-signal stability analysis using the impedance method, based on a multi-machine equivalent mechanism, can only provide an analysis of the factors influencing stability and cannot identify the key weak grid-connected units that affect stability. This paper proposes a method for identifying small-signal stability weak grid-connected units in a renewable energy multi-site system based on the generalized Nyquist criterion (GNC). Firstly, based on the stability analysis approach …

Research On Fault Diagnosis Method For Photovoltaic Array Based On Goa-Svm, Shuai Yang, Wenwei Zeng, Lingyun Yang, Rui Huang, Mouhai Liu, Qinyi Yi, Yunpeng Gao

Journal of Electric Power Science and Technology

The output power of photovoltaic (PV) arrays exhibits strong randomness and volatility. In the event of a fault, it can severely impact the safety and stable operation of the power system. Addressing the challenges of low accuracy and slow convergence in current PV fault diagnosis, this paper proposes a PV array fault diagnosis method based on the grasshopper optimization algorithm-support vector machine (GOA-SVM) model. Firstly, an equivalent circuit model of the PV array is established to analyze the variation characteristics of the PV array's voltage-current curve. Secondly, considering environmental factors and the nonlinear changes in the scale of the PV …

Analysis Model Of Harmonic Power Flow For Single‑Phase Photovoltaic Converters Considering Frequency Coupling, Bo Gao, Fuchang He, Jian Han, Zenwen Li, Yongxiang Yu

Journal of Electric Power Science and Technology

Single-phase photovoltaic inverters are widely used in distribution systems, and studying their harmonic models is of great significance for harmonic power flow analysis, harmonic interaction effects, and power system stability. Firstly, by analyzing the interaction mechanism between the grid and the inverter, as well as the harmonic conduction on the AC- and DC-side of the inverter, the impedance formulas of the single-phase photovoltaic inverter under different harmonics are derived. Secondly, the frequency coupling mechanism of harmonic impedance is analyzed in conjunction with the control loop, and the harmonic coupling impedance matrix model and equivalent Thévenin circuit of the single-phase inverter …

Prediction Method Of Short‑Term Pv Output Power Based On Pca‑Vmd‑Mvo‑Svm, Gang Zou, Bin Zhao, Qiang Luo, Gao Liang, Li Wang

Journal of Electric Power Science and Technology

To enhance the accuracy and reliability of short-term photovoltaic (PV) output power forecasting, a hybrid model is proposed, which integrates principal component analysis (PCA), variational mode decomposition (VMD), and multi-verse optimizer (MVO) to optimize a support vector machine (SVM) for PV output power prediction. Initially, PCA's data analysis capabilities and VMD's data decomposition performance are leveraged to reduce the dimensionality and decompose the multidimensional training data. Subsequently, the extracted dataset is fed into an SVM prediction model optimized by the MVO algorithm to obtain PV output power forecast components for different intrinsic modes. Finally, the results of these forecast components …

A Multi‑Energy Pricing Model For Capacity Markets Considering Generating Capacity Adequacy, Mingyuan Chen, Dong Mo, Qixing Liu, Qi Zou, Yanjie Liang

Journal of Electric Power Science and Technology

With the high proportion of renewable energy generation such as wind, solar, and hydro power integrated into the power system, the low cost of renewable energy generation poses a significant challenge to the cost recovery of traditional thermal power units, resulting in an increasing number of thermal power units exiting the capacity market. Additionally, as renewable energy generation primarily depends on weather conditions, it cannot guarantee sufficient generation capacity during peak load periods. A reasonable pricing mechanism in the capacity market is crucial to address this issue. In response, a multi-energy trading model that considers both the capacity market pricing …

Analysis Of Investment Strategies For Electric Vehicle Charging Stations, Hongcheng Zhang, Bing Yan, Chenjun San, Xuan Cao, Shunran Ye, Xinhua Zhang

Journal of Electric Power Science and Technology

The increasing number of electric vehicles presents opportunities for investment in public charging stations, but uncertainties such as competition and electricity price fluctuations elevate the risks associated with these investment projects. Considering the random fluctuations in the marginal contribution per unit of charging and the utilization rate of charging stations, a real options model is constructed. By solving this model, the investment threshold for charging stations under the condition of maximizing expected investment value is obtained. Using this investment threshold condition, investment strategies are discussed in two scenarios: random fluctuations in charging service fees and the integration of energy storage …

Optimal Dispatching Of Integrated Energy Systems With Diverse Demand Response And Multifaceted Hydrogen Utilization Under Green Certificate‑Carbon Joint Mechanism, Shanshan Liu, Kerui Li, Baikang Liu, Yan Zhang, Zixin Wen

Journal of Electric Power Science and Technology

With the continuous advancement of new power systems and energy interconnection, building an efficient, low-carbon, and economical energy supply system is crucial for the development of the dual carbon strategy. To this end, this paper proposes an optimized operation strategy for an integrated energy system (IES) that considers multi-type demand response and diverse utilization of hydrogen under a joint mechanism of green certificate and carbon trading. Firstly, to fully leverage the regulatory capabilities of demand-side resources, a multi-type demand response model is constructed, encompassing price-based, incentive-based, and substitution-based responses. Secondly, considering the clean nature of hydrogen, a diverse utilization model …

A Multi‑Port Energy Router For Distribution Networks With Single‑Phase Grounding Fault Regulation, Feiyue Zhu, Shiping Su, Chenyu Wu, Xiong Li

Journal of Electric Power Science and Technology

The energy router is a core device in the field of the energy internet, and its circuit topology enables unified distribution of new energy sources, energy storage, and various loads. Currently, energy routers lack the capability to restore power distribution networks after faults. A multi-port energy router (MP-ER) is proposed in this paper, which achieves fault regulation and new energy accommodation. Firstly, the topology and principles of the MP-ER are introduced, and based on its overall structure, a control strategy is proposed that utilizes the DC bus voltage as the primary signal and implements decentralized control for each port. Secondly, …

Benefit Allocation Strategy For Energy Storage Operators Based On Insurance Actuarial Theory, Da Xie, Rongrong Dai, Shaowei Gao, Shunfu Lin, Zhaowei Xu, Yiyun Xiong

Journal of Electric Power Science and Technology

Energy storage operators can enhance the reliability of power supply and mitigate the losses caused by power outages. To further expand the application scenarios of energy storage for improving power supply reliability and increase the profits of energy storage operators, a profit allocation strategy based on insurance actuarial theory is proposed. Firstly, the Bűhlmann premium model is constructed by fitting the distribution of power outage losses, integrating credibility theory with the pure premium model. Then, a corrected failure rate model based on a health index is established, and the minimum path method is employed to calculate the insurance indemnity probabilities …

Study On Effect Of Thermal Aging On Electrical Tree Characteristics Of Xlpe Cables, Yaru Liu, Yuruo Zhang, Zihan Guo, Wuyi Wan, Yiru Cheng, Zhijin Zhang, Zhuang Ma, Dongdong Zhang

Journal of Electric Power Science and Technology

The physicochemical properties and dielectric properties of cross-linked polyethylene (XLPE) insulated cables can change under long-term thermal aging, affecting their electrical behavior, such as the growth process of electrical trees. This paper investigates the impact of thermal aging on the growth characteristics of electrical trees in XLPE cable insulation. Electrical tree growth tests were conducted on accelerated thermally aged samples, and differential scanning calorimetry (DSC), Fourier transform infrared spectroscopy (FTIR), and broadband dielectric spectroscopy tests were used to study changes in the microstructure and dielectric properties of XLPE materials. The results indicate that recrystallization reactions and thermal-oxidative reactions are the …

Machine Visual Perception From Sim-To-Real Transfer Learning For Autonomous Docking Maneuvers, Derek Worth, Jeffrey Choate, Ryan M. Raettig, Scott L. Nykl, Clark N. Taylor

Faculty Publications

This paper presents a comprehensive approach to enhancing autonomous docking maneuvers through machine visual perception and sim-to-real transfer learning. By leveraging relative vectoring techniques, we aim to replicate the human ability to execute precise docking operations. Our study focuses on autonomous aerial refueling as a use case, demonstrating significant advancements in relative navigation and object detection. We introduce a novel method for aligning digital twins using fiducial targets and motion capture data, which facilitates accurate pose estimation from real-world imagery. Additionally, we develop cost-efficient annotation automation techniques for generating high-quality You Only Look Once training data. Experimental results indicate that …

Graph Neural Networks Powered Scientific Paper Recommendation, Junhao Shen

Computer Science and Engineering Theses and Dissertations

Scientific paper recommendation systems aim to help researchers discover relevant papers amidst the vast and ever-growing body of literature. With the exponential yearly increase in scientific publications, the demand for effective paper recommendation solutions has become both critical and increasingly challenging. In recent years, deep learning techniques have revolutionized recommender systems, and scientific paper recommendations have naturally integrated these advancements. In this dissertation, we address these challenges through three progressive contributions.

First, we enhance traditional content-based methods using Graph Neural Networks (GNNs) by introducing a Graph Convolutional Network-strengthened Topic Modeling (GCN-TM) approach. This method improves upon conventional topic modeling techniques …

Using The Lehmer Mean To Assess Business Data Protection: Statistical Disclosure Control And The Truncated Moment Problem, Mark Stander, Julian Stander

School of Engineering, Computing and Mathematics

Confidential business data needs protection against disclosure. Often this data is protected by releasing sample means, variances and higher power moments. Motivated by statistical disclosure control obligations and the need to publish business data safely, we explain how calculating the Lehmer mean from released power moments can lead to the unwanted disclosure of the largest data value. We explain how similar disclosure can apply to smaller data values and provide an approximate solution to the Truncated Moment Problem. We briefly discuss the Gini mean and the relationship between sample central and raw moments.

The Hoynes Code, Notre Dame Law School

Hoynes Code

A COMPILATION OF FACULTY RESOLUTIONS AND ADMINISTRATIVE REGULATIONS GOVERNING NOTRE DAME LAW SCHOOL

This code governs legal education at the University of Notre Dame in all programs and in all locations. Requirements for the LL.M. and J.S.D. degrees are included in the appendices.

Placing The Four Rounds Of Israeli Palestinian Negotiations In The Twenty-First Century In The Context Of Ir Theory, Notably Realism Theory, Michael J. Reimer Dr

Department of Political Science and Law Faculty Scholarship and Creative Works

On October 7, 2023, Hamas unleashed a vicious attack on Israeli civilians in the southern part of Israel. The plans for this attack were likely many years in the making. Nine hundred miles of tunnels crisscrossed Gaza with the terrorist infrastructure coinciding with the location of hospitals, school, Mosques and shelters above. On October 6, 2023, the history of the four rounds of Israeli Palestinian negotiations of the earlier part of the twenty-first century had been largely forgotten and completely ignored. The Likud coalition in Israel in 2023 - 2024 was in complete agreement with Hamas’ sponsor that no negotiations …

Target-Driven Exploration: Intrinsic Rewards For Sparse Reward Problems, Chengyu Li

Electrical and Systems Engineering Undergraduate Student Research

Sparse reward environments present a significant challenge in reinforcement learning (RL) due to the limited feedback from extrinsic rewards. This research proposes a target-driven exploration framework that leverages intrinsic rewards derived from self-supervised feature extraction to guide agents toward meaningful states. The framework employs three feature extraction methods—Raw Pixels, Random Fixed Features, and Variational Autoencoders (VAEs)—to represent state embeddings and compute intrinsic motivation. Evaluations on benchmark environments, such as SpaceInvaders, demonstrate improved exploration efficiency and learning capabilities. The results highlight the framework's ability to utilize intrinsic rewards effectively, enabling agents to navigate and learn in complex, sparse reward settings. Future …

Solar Module Material And Support Testing, Darbi Dorr

Honors Theses

Sunseeker Solar Car Project manufactures and uses solar modules with a specific material composition to power their car. The current composition consists of many expired materials that are also too expensive to repurchase. In order to find new materials, they need to meet the material requirements while also being affordable for the team. A material analysis was done, and new materials were chosen based on specific properties like transmissibility, UV wavelength range, volume resistivity, adhesion strength, and the thickness. Power losses were then measured using an IV tracer at a set irradiance. This was done before and after encapsulating solar …

Ethics Of Ai In The Classroom, Kyle Kos

Honors Theses

Artificial intelligence (AI) is rapidly evolving and is increasingly being used in classrooms. Several different forms of artificial intelligence have gained popularity within the past, one form of AI with widespread use in the classroom is Generative Pre-Trained Transformer (ChatGPT). This paper explores how the recent surge of popularity of ChatGPT has caused concerns of ethical use in the classroom. Additionally, this paper explores the capabilities and strategies for students to use AI, specifically in nursing.

ChatGPT can offer extraordinary resources to students through capabilities such as essay writing and editing, generation of answers to questions instantly from a vast …

Evolving Treatment Strategies For Systemic Lupus Erythematosus In Clinical Practice: A Narrative Review, Alan D. Kaye, Joseph P. Tassin, William C. Upshaw, Chandni R. Patel, Alison M. Hawkins, Caroline R. Burroughs, Kristin Nicole Bembenick, Chizoba N. Mosieri, Shahab Ahmadzadeh, Adam M. Kaye, Sahar Shekoohi, Giustino Varrassi

School of Dentistry Faculty Publications

Systemic lupus erythematosus (SLE) is an autoimmune disease that more commonly affects African American people, although it is seen in people of all racial backgrounds. This condition is characterized by a dysregulated immune response resulting in widespread inflammation. Clinical manifestations caused by this inflammation include arthritis, anemia, cutaneous rashes, pleuritis, and nephritis. Treatment for SLE aims to reduce disease activity and maintain a state of low inflammation. In this regard, numerous treatments are used, such as hydroxychloroquine, glucocorticoids, and non-glucocorticoid immunosuppressants such as methotrexate. Related to these drugs resulting in significant adverse effects and being ineffective in controlling SLE symptoms …

Gender Differences: The Impact Of Gender Grouping On Egyptian Stem Undergraduates’ Online Group Work1, Wesam Khairy Morsi, Hala Medhat Assem Ms

English Language and Literature

This paper reports a study that compares teaching English as a foreign language (TEFL) through face-to-face (FTF) and CALL (Computer Assisted Language Learning) methods, comparing them with the interdisciplinary perspectives of sociology, social psychology, and educational technology. Based on the sociocultural theory, the influence of gender grouping on the academic performance of 141 English as a foreign language (EFL) Egyptian undergraduates enrolled in a technical writing course in the Faculty of Engineering was examined in a CALL context. Students’ academic performance was measured by overall grades on group work assignments and submitted peer evaluation forms. Sixty six students were assigned …

Deployable Assembly Structure And Harnessing For A Langmuir Probe (Dash-Lp), Sean Cowell

Honors Theses

The nanosatellite being designed by the Western Aerospace Launch Initiative (WALI) will demonstrate the technology of single-polarity electrospray thrusters. Essential to the mission is the collection of information from the ionospheric plasma surrounding the CubeSat in Low Earth Orbit (LEO). Due to the plasma sheath generated by the spacecraft, a 1.75 m boom is required to extend the Langmuir probe (LP) outside of the region of disturbed plasma. This project, Deployable Assembly Structure and Harnessing for a Langmuir Probe (DASH-LP), developed components that accompany the boom deployment system. In particular, a cable stowage system to store the RG403 shielded triaxial …

Reflections From The Pandemic: Is Connectivism The Panacea For Clinicians?, Ken Masters, Anoop Agrawal, Neil Mehta

Faculty, Staff and Students Publications

The COVID-19 pandemic and the recent increased interest in generative artificial intelligence (GenAI) highlight the need for interprofessional communities' collaboration to find solutions to complex problems. A personal narrative experience of one of the authors compels us to reflect on current approaches to learning and knowledge acquisition and use solutions to the challenges posed by GenAI through social learning contexts using connectivism. We recognize the need for constructivism and experiential learning for knowledge acquisition to establish foundational understanding. We explore how connectivist approaches can enhance traditional constructivist paradigms amid rapidly changing learning environments and online communities. Learning in connectivism includes …

Using Multiplexed Functional Data To Reduce Variant Classification Inequities In Underrepresented Populations, Mason Post, Divya Kalra, Karynne Patterson, Eric Venner, Lara A Muffley, Douglas M Fowler, Alan F Rubin, Jennifer E Posey, Sharon E Plon, James R Lupski, Richard A Gibbs, Lea M Starita, Carla Daniela Robles-Espinoza, Willow Coyote-Maestas, Irene Gallego Romero

Faculty, Staff and Students Publications

BACKGROUND: Multiplexed Assays of Variant Effects (MAVEs) can test all possible single variants in a gene of interest. The resulting saturation-style functional data may help resolve variant classification disparities between populations, especially for Variants of Uncertain Significance (VUS).

METHODS: We analyzed clinical significance classifications in 213,663 individuals of European-like genetic ancestry versus 206,975 individuals of non-European-like genetic ancestry from All of Us and the Genome Aggregation Database. Then, we incorporated clinically calibrated MAVE data into the Clinical Genome Resource's Variant Curation Expert Panel rules to automate VUS reclassification for BRCA1, TP53, and PTEN.

RESULTS: Using two orthogonal statistical approaches, we …