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Model-Free Voltage Calculation in Power systems: Applying Gaussian Process Regression for Real-Time Voltage Estimation in DER-Rich Low-Voltage Networks

Model-Free Voltage Calculation in Power Systems: Applying Ga...

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2024 IEEE Global Energy Conference, GEC 2024

作者： Shahzad, Sulman Alsenani, Theyab R. Abbasi, Muhammad Abbas Kilic, Heybet Department of Electrical Engineering Islamia University of Bahawalpur Bahawalpur63100 Pakistan Department of Electrical Engineering College of Engineering in Al-Kharj Prince Sattam Bin Abdulaziz University Al-Kharj11942 Saudi Arabia Department of Electric Power and Energy Systems Dicle University Diyarbakır21280 Turkey

ISBN: (纸本)9798331532611

This paper explores a model-free approach to voltage calculation in low-voltage (LV) networks impacted by distributed energy resources (DERs) using Gaussian Process Regression (GPR). Traditional voltage calculations depend on detailed network models, which are often unavailable or outdated in LV networks. As DER penetration increases, such as photovoltaic (PV) systems and electric vehicles (EVs), accurate voltage predictions become essential for network stability. This study applies GPR as a probabilistic, nonparametric alternative that can capture complex relationships between power and voltage without relying on physical models. The GPR model is trained on synthetic smart meter data under varying DER scenarios—low (20%), medium (50%), and high (100%) penetration levels. Key findings indicate that GPR achieves high accuracy in low and medium penetration levels, with Root Mean Square Error (RMSE) values of 0.12 and 0.22, respectively, and adapts to increased uncertainty at higher penetration levels, providing robust prediction intervals. These results suggest that GPR offers a practical, scalable solution for real-time voltage estimation in DER-rich LV networks. ©2024 IEEE.

关键词： Gaussian distribution

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Incentive Designs for Learning Agents to Stabilize Coupled Exogenous systems 63

Incentive Designs for Learning Agents to Stabilize Coupled E...

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63rd IEEE Conference on Decision and Control, CDC 2024

作者： Certorio, Jair Martins, Nuno C. La, Richard J. Arcak, Murat Institute for Systems Research University of Maryland College Park Department of Electrical and Computer Engineering College ParkMD20740 United States University of California Department of Electrical Engineering and Computer Science BerkeleyCA94720 United States

ISBN: (纸本)9798350316339

We consider a large population of learning agents noncooperatively selecting strategies from a common set, influencing the dynamics of an exogenous system (ES) we seek to stabilize at a desired equilibrium. Our approach is to design a dynamic payoff mechanism capable of shaping the population's strategy profile, thus affecting the ES's state, by offering incentives for specific strategies within budget limits. Employing system-theoretic passivity concepts, we establish conditions under which a payoff mechanism can be systematically constructed to ensure the global asymptotic stability of the ES's equilibrium. In comparison to previous approaches originally studied in the context of the so-called epidemic population games, the method proposed here allows for more realistic epidemic models and other types of ESs, such as predator-prey dynamics. The stability of the equilibrium is established with the support of a Lyapunov function, which provides useful bounds on the transient states. © 2024 IEEE.

关键词： Lyapunov functions

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ARCH: Automatic Roaming-contract Handler for Seamless 6G System to Provide Trusted and Highly Available Network Access 23

ARCH: Automatic Roaming-contract Handler for Seamless 6G Sys...

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29th Annual International Conference on Mobile Computing and Networking, MobiCom 2023

作者： Tenn, Kíng-Pîng Ho, Po-Han Chen, Hong-Yen Lin, Tsung-Nan Department of Electrical Engineering PhD Program in Cybersecurity National Taiwan University Taipei60005429 Taiwan

ISBN: (纸本)9781450399906

It is expected to be pervasive sensors to integrate physical and digital world. Low-latency and wide-covering networks are hence urged, which lead to costly infrastructure. We are proposing ARCH based on smart contract and Self-sovereign Identity (SSI), to provide telecoms a trusted and transparent multilateral platform sharing their infrastructure to decrease the deployment and agency cost, and carbon emission. © 2023 Owner/Author(s).

关键词： Smart contract

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An Efficient Method to Estimate Admittance of Black-boxed Inverter-based Resources for Varying Operating Points

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CSEE Journal of Power and Energy systems 2024年第1期10卷 421-426页

作者： Weihua Zhou Bin Liu Nabil Mohammed Behrooz Bahrani Department of Electrical and Computer Systems Engineering Monash UniversityMelbourne 3800Australia Energy Centre Commonwealth Scientific and Industrial Research Organisation(CSIRO)Newcastle 2300Australia.He is now with the Network Planning DivisionTransgridSydney 2000Australia

Traditional analytical approaches for stability assessment of inverter-based resources(IBRs),often requiring detailed knowledge of IBR internals,become impractical due to IBRs’proprietary *** measurements,relying on electromagnetic transient simulation or laboratory settings,are not only time-intensive but also operationally inflexible,since various non-linear control loops make IBRs’admittance models operating-point ***,such admittance measurements must be performed repeatedly when operating point *** avoid time-consuming and cumbersome measurements,admittance estimation for arbitrary operating points is highly ***,existing admittance estimation algorithms usually face challenges in versatility,data demands,and *** this challenge,this letter presents a simple and efficient admittance estimation method for blackboxed IBRs,by utilizing a minimal set of seven operating points to solve a homogeneous linear equation *** studies demonstrate this proposed method ensures high accuracy across various types of *** accuracy is satisfying even when non-negligible measurement errors exist.

关键词： Admittance estimation black box inverterbased resource measurement error operating point

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An IoMT-Based Incremental Learning Framework with a Novel Feature Selection Algorithm for Intelligent Diagnosis in Smart Healthcare

IEEE Transactions on Machine Learning in Communications and ...

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IEEE Transactions on Machine Learning in Communications and Networking 2024年 2卷 370-383页

作者： Sai, Siva Bhandari, Kartikey Singh Nawal, Aditya Chamola, Vinay Sikdar, Biplab Department of Computer Science and Information Systems Pilani Campus Pilani333031 India Microsoft Campus Gachibowli Telangana Hyderabad500032 India Department of Electrical and Electronics Engineering Pilani Campus Pilani333031 India Pilani Campus Pilani333031 India National University of Singapore Department of Electrical and Computer Engineering Cluny Road Singapore117583 Singapore

Several recent research papers in the Internet of Medical Things (IoMT) domain employ machine learning techniques to detect data patterns and trends, identify anomalies, predict and prevent adverse events, and develop personalized patient treatment plans. Despite the potential of machine learning techniques in IoMT to revolutionize healthcare, several challenges *** conventional machine learning models in the IoMT domain are static in that they were trained on some datasets and are being used for real-time inferencing data. This approach does not consider the patient's recent health-related data. In the conventional machine learning models paradigm, the models must be re-trained again, even to incorporate a few sets of additional samples. Also, since the training of the conventional machine learning models generally happens on cloud platforms, there are also risks to security and privacy. Addressing these several issues, we propose an edge-based incremental learning framework with a novel feature selection algorithm for intelligent diagnosis of patients. The approach aims to improve the accuracy and efficiency of medical diagnosis by continuously learning from new patient data and adapting to patient conditions over time, along with reducing privacy and security issues. Addressing the issue of excessive features, which might increase the computational burden on incremental models, we propose a novel feature selection algorithm based on bijective soft sets, Shannon entropy, and TOPSIS(Technique for Order Preference by Similarity to Ideal Solution). We propose two incremental algorithms inspired by Aggregated Mondrian Forests and Half-Space Trees for classification and anomaly detection. The proposed model for classification gives an accuracy of 87.63%, which is better by 13.61% than the best-performing batch learning-based model. Similarly, the proposed model for anomaly detection gives an accuracy of 97.22%, which is better by 1.76% than the best-performing b

关键词： Patient treatment

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Physical Processes in Vacuum Circuit Breakers under Switching Overvoltages

Physical Processes in Vacuum Circuit Breakers under Switchin...

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2023 International Conference on Industrial engineering, Applications and Manufacturing, ICIEAM 2023

作者： Vorkunov, O.V. Samofalov, Yu. O. Butakov, V.M. Kazan State Power Engineering University Department of Electric Power Systems and Networks Kazan Russia Kazan State Power Engineering University Department of Electrical Complexes and Systems Kazan Russia

ISBN: (纸本)9781665475952

Currently, vacuum switching devices are actively implemented in 6 (10) kV power grids in Russia due to a number of their advantages in comparison with other types of circuit breakers. However, their use does not solve the problem of overvoltages, and sometimes exacerbates it, because commutation with such switches can be accompanied by multiple repeated arc re-ignitions and high-frequency overvoltages. A simulation model of vacuum circuit breaker was created using the program MatLAB Simulink in this work. Its work was tested in the virtually created electric network 110/6 kV, consisting of a power supply and the power unloaded transformer. Subsequently, to assess the overvoltage magnitude influence arising during the circuit breaker contacts switching, the computer model was supplemented by a nonlinear overvoltage limiter simulation model (OPN). Voltages and currents oscillograms arising at vacuum circuit breakers switching, for three phases: A, B, C, of the simulated electric network were obtained. The overvoltage value dependence on the transformer power was obtained by introducing different power ratings power transformer models into the electrical network. The overvoltage limitation analysis by means of a non-linear overvoltage limiter has been carried out. © 2023 IEEE.

关键词： Oscillographs

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Seafloor Imaging Maps by Incorporating Side Scan Sonar Technology on Hybrid Autonomous Underwater Glider 6

Seafloor Imaging Maps by Incorporating Side Scan Sonar Techn...

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6th International Seminar on Research of Information Technology and Intelligent systems, ISRITI 2023

作者： Atmaja, Ardian Budi Kusuma Hidayat, Egi Muhammad Idris Riyanto Trilaksono, Bambang Siregar, Simon Habibullah, Natsir School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia Institut Teknologi Bandung Telkom University Doctoral Program of Electrical Engineering Department Computer Engineering Faculty of Applied Science Indonesia

ISBN: (纸本)9798350358346

This research aims to construct a two-dimensional image to represent an underwater geometry map with a Side Scan Sonar (SSS) mounted on a Hybrid Autonomous Underwater Glider (HAUG). Building the underwater map has two stages of the process. The first stage is preprocessing which includes Time-varying gains (TVG), slant range correction, and ground range correction. The second is HAUG navigation, the movement of HAUG orientation to the angle and distance of SSS readings and plotting the geometry of the grid map. With these two stages, a two-dimensional grid map will be formed. Meanwhile, the 3D plot utilizes slant range and ground range correction to obtain the surface height of the bottom of the pool. From the experiments conducted to conduct mapping in the pool, two-dimensional and three-dimensional visual forms of the pool floor and pool walls were produced. The results of the estimated measurement of the width of the pool obtained 14.05 meters and the height of the pool 3.199 meters with an SSS beam angle of 58 degrees. © 2023 IEEE.

关键词： Geometry

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USK-FEMO: A Face Emotion Dataset using Deep Learning for Effective Learning 2

USK-FEMO: A Face Emotion Dataset using Deep Learning for Eff...

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2nd International Conference on Computer System, Information Technology, and electrical engineering, COSITE 2023

作者： Muhajir, Muhajir Oktiana, Maulisa Muchtar, Kahlil Fitria, Maya Akhyar, Akhyar Pratama, Muhammad Dandy Lin, Chih-Yang Department of Electrical and Computer Engineering Universitas Syiah Kuala Banda Aceh Indonesia Department of Electrical Electronic and Systems Engineering Faculty of Engineering and Built Environment Universiti Kebangsaan Malaysia Selangor Malaysia Department of Mechanical Engineering National Central University Taoyuan City Taiwan

ISBN: (纸本)9798350343069

Emotions play an essential role in the learning process and have an impact on how the learning process is eventually carried out. Facial expressions can be used to visually identify a person's emotions. Along with the advancement of computer vision and deep learning techniques, the study of human-computer interaction is increasingly focusing on the recognition of facial expressions. One of the main issues is the availability of sufficient datasets, especially for students. This study examined the deep learning architecture for face emotion classification. In addition, this research also introduces a new emotional dataset acquired from the junior high school student at SMP Negeri 1 Darul Imarah, Aceh Besar Regency, Indonesia. This dataset contains five classes that include the emotions of happiness, sadness, anger, surprise, and boredom. The dataset was then tested using the Mobile-Net architecture, the highest accuracy was achieved with a learning rate of 0.0001% of 88.492%. %. The dataset can be explored via the link https://***/USK-FEMO-DATASET/. © 2023 IEEE.

关键词： Human computer interaction

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Modified pentagonal fractal antenna for ultra-wideband applications in communication systems

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International Journal of Electronics Letters 2024年第4期12卷 413-421页

作者： Singh, Gurmeet Kumar, Ashish Jit Singh, Mandeep Singh, A.P. School of Computing Science and Engineering Galgotias University Greater Noida India Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Department of Electrical Electronic and Systems Engineering Faculty of Engineering and Built Environment Universiti Kebangsaan Malaysia UKM Selangor Bangi Malaysia Department of Electronics and Communication Engineering Sant Longowal Institute of Engineering and Technology Punjab Longowal India

Due to the recent expansion in the generations of the communications systems, it is utmost priority to transmit a large amount of data over a wideband frequency spectrum. For this single ultra-wideband (UWB) antennas are the prime choice as compared to the multiple narrow band antennas. A modified pentagonal fractal patch antenna with a modified ground plane covering ultra-wideband has been proposed. The antenna has a compact size of 25 mm × 25 mm × 1.6 mm with peak gain of 2.2 dB. The UWB coverage of the design is achieved by implementing modified co-planar ground, modified fractal geometry and coplanar feed. The proposed design possesses the significant resonance and radiation performance with very compact size on low-cost substrate while covering the whole UWB. Finally, the simulated resonating and radiation characteristics have been validated with the measured characteristics of the fabricated prototype and the results are quite promising. © 2024 Informa UK Limited, trading as Taylor & Francis Group.

关键词： antenna co-planer feed fractal Ultra-wideband

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Computational Fluid Dynamics Analysis on the Improvement of Hybrid Savonius-Darrieus NREL S809 at Various Fluid Flows 4

Computational Fluid Dynamics Analysis on the Improvement of ...

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4th International Conference on High Voltage engineering and Power systems, ICHVEPS 2023

作者： Irawan, Elysa Nensy Sitompul, Sandro Yamashita, Ken-Ichiro Fujita, Goro Shibaura Institute of Technology Functional Control Systems Tokyo Japan Shibaura Institute of Technology Department of Electrical Engineering Tokyo Japan Salesian Polytechnic Department of Electrical Engineering Tokyo Japan

ISBN: (纸本)9798350318678

Among all types of vertical axis wind turbines, Savonius and Darrieus are the most popular to study. Savonius has a very large torque and requires a low wind velocity to start the rotation, but the efficiency is below 20%. Meanwhile, Darrieus is not capable of self-starting if the wind velocity is below 4 m/s, but the efficiency is the best among all types of vertical axis wind turbines, which is around 40-45%. So far, many researchers have applied the hybrid Savonius-Darrieus to combine their performances. However, the conventional hybrid Savonius-Darrieus cannot produce an optimal Power Coefficient at a high Tip Speed Ratio. In this study, an improvement in the performance of the hybrid Savonius-Darrieus has been analyzed using the Computational Fluid Dynamics method at various fluid flows. This improvement was carried out with the aim of obtaining a high Moment Coefficient and Power Coefficient in all turbine Tip Speed Ratios compared to the conventional hybrid Savonius-Darrieus. The hybrid model used is the 2-bladed Savonius as the internal rotor and the 3-bladed Darrieus NREL S809 as the external rotor with a rotor radius ratio of 0.5. Improvements were made by changing the turbine rotation mode from hybrid at a low Tip Speed Ratio to single Darrieus at a high Tip Speed Ratio. This method was tested in the wind velocity range of 3-7 m/s using the Realizable k-e turbulence model, enhanced wall treatment. As a result, the best performance occurs at a wind velocity of 7 m/s, which is a Moment Coefficient value of 110% better than single Darrieus at low TSR and a maximum Power Coefficient value of 50% better than conventional hybrid. © 2023 IEEE.

关键词： Computational fluid dynamics

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