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Performance of distance protection under inverter-based resources with ieee 2800 current injection requirements

Performance of distance protection under inverter-based reso...

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18th international conference on Developments in Power system Protection (DPSP APAC 2025)

作者： Xinquan Chen Siqi Bu Aboutaleb Haddadi Ilhan Kocar Department of Electrical and Electronic Engineering Hong Kong Polytechnic University Hong Kong People's Republic of China Electric Power Research Institute (EPRI) USA

ISBN: (数字)9781837242900

Under fault ride-through (FRT) mode, inverter-based resources (IBRs) are required to meet current injection requirements in emerging grid codes. The impact of IBRs on system protection may vary depending on the requirements, further challenging the operation of protection system under the influence of IBRs. In this paper, we focus on the impacts of ieee 2800 current injection requirements on distance protection. First, we develop a specified current-limiting scheme to comply with the ieee 2800 standard. During unbalanced faults, the impacts of the current injection on apparent impedance are elaborated analytically. In a modified ieee PSRC D29 system with IBRs, the performance of distance protection is investigated under varying impact factors, including K factors, fault proximity, and fault resistance. The results indicate that the specified scheme alters the magnitude and angle of current vectors, thereby modifying the trajectory of apparent impedance. With the specified current-limiting scheme, the sensitivity of distance protection is improved since the current capacity is fully utilized, but the rapidity of protection decreases due to the phase current scaling when the K factor is large. Hence, the selection of K factors should be based on the converter current capacity of IBRs.

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Instantaneous Voltage Regulation-based Sliding Mode Direct Torsion Torque Control for High-Backforward-Drivability Actuation

Instantaneous Voltage Regulation-based Sliding Mode Direct T...

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international conference on Mechatronics (ICM)

作者： Itsuki Shono Yuki Yokokura Kiyoshi Ohishi Department of Electrical Electronics and information Engineering Nagaoka Univercity of Technology Nagaoka Nagaoka Japan

ISBN: (数字)9798331533892

ISBN: (纸本)9798331533908

This paper proposes a high-response torque control method for a surface permanent magnet synchronous motor (SPMSM) with reduction gearing for interactive operation. In robots performing interactive tasks, backforward-drivability of the geared SPMSM is important. The backforward-drivability is defined as the ease of manipulating the load-side of the geared motor by external forces. Torsion torque control has been proposed to enhance this drivability. However, conventional torsion torque control is limited in response speed due to the high system order and reliance on a minor loop current controller. In this study, we propose a high-response sliding mode direct torsion torque control for the geared SPMSM modeled as a two-inertia resonant system. The proposed method achieves rapid response by eliminating the current controller and controlling inverter switches directly. Numerical simulations and experiments confirm that the proposed method provides high-response torsion torque control.

关键词： Motor drives Torque control Numerical simulation Permanent magnet motors Inverters Vectors Numerical models Voltage control Sliding mode control Robots

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Hybrid Approach of TabNet and Transformer-XGBoost for Predicting Traffic Flow in Smart Cities

Hybrid Approach of TabNet and Transformer-XGBoost for Predic...

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Smart and Sustainable Developments in Electrical engineering (SSDEE), ieee international conference on

作者： Shreyas Rajendra Hole Vinothkumar Kolluru Shreekant Salotagi Yagnesh Challagundla Sudeep Mungara Mude Nagarjuna Naik Computer Science & Engineering (AI&ML) Dayananda Sagar University Bangalore India Department of data science Stevens Institute of technology Hoboken NJ U.S.A. Computer Science & Engineering Dayananda Sagar University Bangalore India Department of Computer science Herbert Wertheim College of Engineering University of Florida Gainesville Florida USA Masters in Information Systems Stevens Institute of Technology Hoboken NJ U.S.A.

ISBN: (数字)9798331542108

ISBN: (纸本)9798331542115

A smart city's transportation system can be en-hanced if there is an accurate prediction of the traffic flow which develops in an area as time goes on. This article investigates the relative accuracy of predicting traffic flow at target intersections in a city, taking advantage of two models: Tab Net and a hybrid Transformer-XGBoost. Several metrics including Mean Squared Error (MSE) and Coefficient of determination (R2 score) among others were employed to evaluate the models employed. A sequential deep learning model known as Tab Net triumphing in the competition with MSE, RMSE, and MAE being 34.48, 5.87, and 3.73 respectively, and R2 score as high as 0.917, although performing well while enhancing identification of features such as year and junction. On the other hand, while reporting similar R2 score as low as 0.184, the Transformer-XGBoost hybrid model had structuring limitations where complex interdependencies and time variations were involved recording MSE, RMSE and MAE as 338.52, 18.40 and 13.24 respectively. The graphs of residuals and QQ plots served to uncover that the hybrid model failed making a right prediction during high traffic volume days, as general tabnet results shown in the final graphs are more stable. Following investigation of the models in this study, the researchers suggest implementing TabNet as a better option for traffic management explaining its high accuracy and providing valuable guidance for cities. This would result in improvement of the traffic flow prediction, which is highly needed for effective urban mobility solutions.

关键词： Measurement Hands Adaptation models Accuracy Smart cities Transportation Tail Predictive models Transformers Junctions

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Distraction-Free Functions for Facilitating Cognitive Mapping During Scroll Reading on a Tablet

Distraction-Free Functions for Facilitating Cognitive Mappin...

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ieee international conference on Consumer Electronics (ICCE)

作者： Rino Kimura Makoto Nakashima Graduate School of Engineering Oita University Oita Japan Faculty of Science and Technology Oita University Oita Japan

ISBN: (数字)9798331521165

ISBN: (纸本)9798331521172

The incredible advancements in digital technology have revolutionized how we transmit and access information. This has made gathering knowledge from digital texts easily accessible and has become a widely embraced practice today. On the other hand, many studies said that the comprehension level of reading texts on a screen is inferior to that of reading paper texts. In this paper, we focus on reducing the difficulty of forming a cognitive map in scroll reading on a screen, which is considered one of the causes of this inferiority. To address this, we propose an e-book reader user interface that facilitates the formation of cognitive maps without distraction when scrolling texts on a tablet. We also describe the evaluation method of the proposed functions.

关键词： Hands Electronic publishing Focusing User interfaces Cognitive load Consumer electronics

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Research on anti-collision system based on the behavior of surrounding vehicles

Research on anti-collision system based on the behavior of s...

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2024 international conference on Smart Transportation and City engineering, STCE 2024

作者： Mai, Jinying Zhang, Yongjie GuangXi Vocational Normal University China Guangxi Nanning Xixiangtang District Luowen Avenue 17 Nanning China Key Laboratory of Application Technology of Intelligent Connected Vehicle Guangxi Vocational Normal University Education Department of Guangxi Zhuang Autonomous Region Nanning China

ISBN: (纸本)9781510690585

In this paper, an Anti-collision system based on the behavior of surrounding vehicles is proposed for road traffic safety challenges. The system integrates multi-sensor data, Kalman filter algorithm, and V2X technology to accurately identify and analyze the behavioral patterns of surrounding vehicles, and combines with a dynamic feedback adjustment mechanism to evaluate and predict the potential collision risk of vehicles in real time. Using the PreScan platform to simulate the behavior of surrounding vehicles in different scenarios to verify the effectiveness and accuracy of the system. Test results show that the system performs well in improving response speed and recognition accuracy, effectively solves the problems of slow response and low recognition rate of traditional systems, and not only adjusts driving strategies according to real-time road conditions, but also continuously optimizes the algorithm model to reduce the occurrence of collision accidents. © 2025 SPIE.

关键词： Anti-collision system information fusion Kalman filter sensor networks V2X technology

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Disaster Track: AI-Driven Real-Time Monitoring and Instant Alerts for Emergency Response

Disaster Track: AI-Driven Real-Time Monitoring and Instant A...

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2025 international conference on Visual Analytics and Data Visualization, ICVADV 2025

作者： Narmatha, B. Priyadharshini, P. Arthi, S. Malleswari, M. Yasaswini, M. Vel Tech High Tech Dr Rangarajan Dr Sakunthala Engineering College Department of Information Technology Tamil Nadu Chennai India

ISBN: (数字)9798331521394

ISBN: (纸本)9798331521394

'Disaster Track' is an AI-driven system designed for real-time monitoring and instant alerts in emergency situations. The system is built around an Arduino Uno microcontroller, which continuously collects environmental data from multiple sensors, including the DHT11 for temperature and humidity, the BMP180 for barometric pressure and temperature, and a gyroscopic sensor for seismic activity detection. This data, combined with manually inputted information, is processed by an AI model to generate highly accurate weather forecasts and seismic alerts. Notifications are then transmitted to users via a GSM SMS module, ensuring timely emergency warnings. Additionally, Python-based algorithms enhance weather prediction, while an integrated IoT platform enables remote data storage and access, facilitating further analysis and improved disaster response planning. © 2025 ieee.

关键词： Emergency services

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Navigating the Future:Lane Line Detection for Autonomous and Non-Autonmous Vehicles

Navigating the Future:Lane Line Detection for Autonomous and...

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2025 international conference on Visual Analytics and Data Visualization, ICVADV 2025

作者： Kamali Kanmani, K. Vanitha, S. Rajeswari, A.M. Velammal College of Engineering and Technology Computer Science and Engineering Madurai India

ISBN: (数字)9798331521394

ISBN: (纸本)9798331521394

The lane line detection helps in reducing the accidents. Current systems, integrated into advanced driver assistance systems (ADAS), often fail to provide accurate detection under challenging conditions such as poor weather, low visibility, and dynamic road environments, leading to inconsistent performance and delayed corrective actions. The proposed lane line detection system addresses key issues in road safety, particularly the challenge of maintaining lane adherence for both autonomous and non-autonomous vehicles. Many existing systems also lack effective real-time feedback mechanisms, particularly for non-autonomous vehicles, reducing driver situational awareness and increasing accident risks. To overcome these limitations, our solution integrates infrared (IR) sensors, a micro controller, and an LCD display to continuously monitor lane lines and detect nearby obstacles, ensuring timely corrective actions in case of lane deviations. The system operates efficiently across various environments, including extreme weather, and offers real-time communication capabilities for road condition updates. Designed for high-speed processing, it enhances both vehicle and driver safety by improving lane detection accuracy, promoting smarter navigation, and reducing the likelihood of accidents, ultimately contributing to the advancement of smart transportation systems. © 2025 ieee.

关键词： Advanced driver assistance systems

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Building Your Own Product Copilot: Challenges, Opportunities, and Needs

Building Your Own Product Copilot: Challenges, Opportunities...

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ieee international conference on Software Analysis, Evolution and Reengineering (SANER)

作者： Chris Parnin Gustavo Soares Rahul Pandita Sumit Gulwani Jessica Rich Austin Z. Henley Microsoft USA GitHub Carnegie Mellon University

ISBN: (数字)9798331535100

ISBN: (纸本)9798331535117

A race is underway to embed advanced AI capabil-ities into products. These product “copilots” enable users to ask questions in natural language and receive relevant responses that are specific to the user's context. In fact, virtually every large technology company is looking to add these capabilities to their software products. However, for most software engineers, this is often their first encounter with integrating AI-powered technol-ogy. Furthermore, software engineering processes and tools have not caught up with the challenges and scale involved with building AI-powered applications. In this work, we present the findings of an interview study with 26 professional software engineers responsible for building product copilots at various companies. From our interviews, we found pain points at every step of the engineering process and the challenges that strained existing development practices. We then conducted group brainstorming sessions to collaborative on opportunities and tool designs for the broader software engineering community.

关键词： Pain Buildings Companies Software Artificial intelligence Interviews Best practices Software engineering Testing Software development management

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Phase-Locked Loop Structure Optimization Method for Grid-Following Inverters Based on Higher-Order Orthogonal Signal Generators

Phase-Locked Loop Structure Optimization Method for Grid-Fol...

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ieee international conference on Industrial technology (ICIT)

作者： Xinming Lu Wensheng Liu Kai Song Fulin Fan Jinhai Jiang Rui Xue Chuanyu Sun Wenbo Hao Ke Hua School of Electrical Engineering and Automation Harbin Institute of Technology Harbin China Polytechnic Institute Zhejiang University Hangzhou China Suzhou Rasearch Institute Harbin Institute of Technology Suzhou China State Grid Heilongjiang Electric Power Research Institute Harbin China State Grid Heilongjiang Electric Power Company Limited Harbin China

ISBN: (数字)9798331521950

ISBN: (纸本)9798331521967

In the context of the “dual-high” power grid, the study of grid-connected inverters that enhance power quality while maintaining fault tolerance under unbalanced conditions carries significant theoretical and practical value. Grid-following(GFL) inverters, as a widely adopted type of grid-connected inverter, continue to be a focal point of research. This paper proposes a quasi-proportional resonant (QPR) control method in the aB-reference frame. An impedance model of the GFL system is established through impedance analysis, and the influence of control parameters on system stability is evaluated using impedance stability criteria. Optimal control parameters are identified to enhance dynamic response and stability. Additionally, an improved phase-locked loop (PLL) control strategy is introduced, incorporating an orthogonal signal generator (OSG) with pre-filtering. The frequency-domain response characteristics of second-, third-, and fourth-order OSGs are compared, with the fourth-order OSG selected as the pre-filter for the PLL. This PLL strategy demonstrates robust adaptability to unbalanced grid conditions. Simulation results indicate that the proposed inverter control method achieves a total harmonic distortion (THD) of 0.47% for the grid-injected current under normal operation and 0.50% THD after fault clearance. The PLL method accurately tracks the grid phase during normal operation, fault conditions, and post-fault recovery. These findings validate the effectiveness of the proposed approach, providing valuable insights for optimizing the stability and power quality of distributed active distribution networks and advancing the autonomy of distributed generation systems.

关键词： Total harmonic distortion Grid following Simulation Stability criteria Power quality Power system stability Signal generators Inverters Impedance Phase locked loops

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An FMS Reconfigurable Model With S4PR Petri Nets by Controllable Transitions

An FMS Reconfigurable Model With S4PR Petri Nets by Controll...

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international conference on Communication systems and Network Technologies (CSNT)

作者： Mowafak Hassan Abdul-Hussin Dept. of Communication Engineering University of Technology Baghdad Iraq

ISBN: (数字)9798331531935

ISBN: (纸本)9798331531942

The reconfigurable model of the flexible manufacturing systems (FMSs) with Petri Net by controllable transitions (CTs) is presented in this work. The Petri Net (PN) can provide effective procedures to solve deadlock handling in the FMS. Accurately eliminating deadlocked states in FMS and dynamic processes demonstrates the effectiveness of CTS. A novelty algorithm is presented to obtain the maximum permissive behaviors with fewer supervisors, which are obtained fully live. S4PRs, a system of sequential systems with shared resources, are used to implement the PNs that are effective and practical for describing the FMS interaction processes. The motivation analyzes and simulates FMS models using the PN simulator to solve the deadlock. The influence of a reachability graph (RG) is essential for detecting the states of deadlocked (DL). This paper focuses on the influence of CTs in PN that are controlling all resource utilization. In particular, the dynamic model of different kinds of FMS can have optimal solutions given by CTs.

关键词： Analytical models Frequency modulation Communication systems Heuristic algorithms Petri nets system recovery Resource management Flexible manufacturing systems

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