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3rd IEEE International Conference on Power Electronics, Intelligent control and Energy Systems, ICPEICES 2024

作者： Prapanwattana, Nattakit Dechawatanapaisal, Donlapat Banjerdpongchai, David Rajan, Abhishek Center of Excellence in Intelligent Control Automation for Process Systems Chulalongkorn University Faculty of Engineering Dept. of Electrical Engineering 254 Phayathai Rd Bangkok Pathumwan10310 Thailand National Institute of Technology Sikkim Dept. of Electrical Engineering South Sikkim Ravangla737139 India

ISBN: (纸本)9798350387193

Energy management system (EMS) is an important tool for energy efficiency and reliability of the power system. The optimal power dispatch of energy resources can be obtained using the nonlinear model predictive control (NMPC). It is formulated as an optimization problem subject to linear and nonlinear constraints. Although the existing system works well under the current conditions, power loss has not been considered. Power loss in transmission lines occurs due to their resistance and a high amount of power flow to loads connecting to the system. The power loss leads to decreased efficiency in the electrical system and reduces the lifespan of equipment because of the high temperature from loss. This paper aims to analyze the power loss in the Mae Hong Son (MHS) microgrid. To achieve the research objectives, we employ the EMS of MHS with NMPC and calculate power loss in transmission lines for a period of 7 days. EMS considers three objective functions, namely, total operating cost, total carbon dioxide emission, and combined economic and emission dispatch and take into account of three seasons consisting of rainy, winter, and summer. © 2024 IEEE.

关键词： Predictive control systems

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Power System Stability Improvements Through Grid Forming Inverters for Systems with High Penetration of Grid Following Inverters

Power System Stability Improvements Through Grid Forming Inv...

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2024 IEEE PES Innovative Smart Grid Technologies Europe Conference, ISGT EUROPE 2024

作者： Geekiyanage, Viduruwan Seppänen, Janne Ge Vernova Tampere Finland Aalto University Dept. Electrical Engineering and Automation Espoo Finland

ISBN: (纸本)9789531842976

The power transmission system is rapidly changing due to the integration of renewable sources such as wind and solar power. However, these additions are converter-based hence their behavior is different from traditional synchronous generator-based power systems. In addition, the majority of the converters are grid-following inverters and a high share of grid-following inverters can have adverse effects on the power system stability. To mitigate the adverse effects, a new concept called grid-forming inverters is emerging. This paper studies the ability of the grid-forming inverters to maintain the power system stability under high inverter-based resource scenarios up until 100% inverter-based resource share. The research identified that the two-area Kundur model is stable up to 50% grid following inverter share and with the use of a sufficient share of grid-forming inverters, the system can reach up to 100% inverter-based resource share. Furthermore, the location sensitivity of the grid-forming inverter and the effects of different power flow scenarios at high inverter-based resource share were studied. © 2024 IEEE.

关键词： Power grids

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Output-feedback Prescribed Performance controller for Uncertain General Nonlinear Systems with Unknown Sign of the Input Gain

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Transactions of the Korean Institute of electrical Engineers 2022年第8期71卷 1151-1156页

作者： Park, Jang-Hyun Dept. of Electrical and Control Engineering Mokpo National University Korea Republic of

The systematic procedure for the design of the output-feedback controller of uncertain general nonautonomous nonlinear systems without a priori knowledge of the sign of the input gain is proposed. The proposed controller adopts higher-order switching differentiator to estimate time-derivatives of the output tracking error. It is mathematically proved that the output tracking error and its time-derivatives are all maintained in the prescribed regions. To illustrate the performance of the proposed controller, numerical simulation was performed. To author’s knowledge, there are no results on the problem tackled in this paper. © 2022 Korean Institute of electrical Engineers. All rights reserved.

关键词： controllers

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Federated TD Learning in Heterogeneous Environments with Average Rewards: A Two-timescale Approach with Polyak-Ruppert Averaging 63

Federated TD Learning in Heterogeneous Environments with Ave...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Naskar, Ankur Thoppe, Gugan Koochakzadeh, Abbasali Gupta, Vijay Indian Institute of Science Dept. of Computer Science and Automation Bengaluru India Purdue University Dept. of Electrical and Computer Engineering IN United States

ISBN: (纸本)9798350316339

Federated Reinforcement Learning (FRL) provides a promising way to speedup training in reinforcement learning using multiple edge devices that can operate in parallel. Recently, it has been shown that even when these edge devices have access to different dynamic models, an optimal convergence rate that has a linear speedup proportional to the number of devices is achievable. However, this result requires that the stepsize in the algorithm be chosen in a manner dependent on the unknown model parameters. Also, it applies only to a discounted setting, which has been argued to fit episodic tasks better than continuing control tasks. In this paper, we obtain finite-time bounds for heterogeneous FRL with average rewards. We show that the optimal convergence rate with a linear speedup is possible even with a universal stepsize choice, independent of the underlying dynamics. To achieve our result, we modify the existing one-timescale FRL method to a novel two-timescale variant that additionally incorporates iterate averaging. © 2024 IEEE.

关键词： Federated learning

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Enhancement and Analysis of Transient Stability of VSC with Anti-Windup Augmented Phase-Locked Loop

Enhancement and Analysis of Transient Stability of VSC with ...

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2024 China automation Congress, CAC 2024

作者： Zhang, Zhenke Li, Yuanlong Gao, Fei Dept. of Automation Shanghai Jiao Tong University Shanghai China Dept. of Electrical Engineering Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9798350368604

Maintaining stability of grid-following VSC during severe grid faults remains an open problem, where phase locked loop (PLL) plays a critical role. Previous research on PLL and transient stability either introduces time delays which degrades the system dynamics, or is computationally expensive. In this paper, an improved SRF-PLL configuration with an anti-windup compensator is proposed to improve the transient stability of the grid-following VSC. Based on the linearized model of PLL, an optimization problem is formulated to determine the parameters of the anti-windup compensator. Simulation results illustrated that the proposed PLL can tremendously enhance the transient stability of grid-following VSC compared with the existing PLLs. © 2024 IEEE.

关键词： Transient stability

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Indoor Occupancy Estimation Based on Synergy of Physical Modeling, Environmental Data Fusion, and Machine Learning Frameworks 11

Indoor Occupancy Estimation Based on Synergy of Physical Mod...

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11th International Conference on electrical, Electronic and Computing engineering, IcETRAN 2024

作者： Popović, Ivan Krčmar, Igor Rakić, Aleksandar University of Belgrade School of Electrical Engineering Dept. of Electronics Belgrade Serbia University of Banja Luka Faculty of Electrical Engineering Dept. of Control Systems Banja Luka Bosnia and Herzegovina University of Belgrade School of Electrical Engineering Dept. of Signals and Systems Belgrade Serbia

ISBN: (纸本)9798350386998

In a modern society, driven by both economic interests and a concern for personal privacy, indoor occupancy, either at workspace or in other type of accommodation, became a matter of stressed research interest. Though various methodologies have been developed so far, the proposed solutions of a technical problem of occupancy estimation still suffer from narrow perspectives and partial solutions, usually formulated as an optimization of a chosen mathematized problem. This paper considers the broader context of the problem, particularly its physical background, basic assumptions for the effective use of the environmental variables in occupancy estimations and the viable frameworks, either conventional or modern machine learning ones, that are to meet those assumptions. The approach is experimentally verified in a case study. © 2024 IEEE.

关键词： Adversarial machine learning

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Development of a Wireless Charging System based on LLC Resonant Converter for Underwater Drone 11

Development of a Wireless Charging System based on LLC Reson...

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11th International Conference on Power Electronics - ECCE Asia, ICPE 2023-ECCE Asia

作者： Liu, Jia-Wei Cheng, Yu-Shan Ho, Kun-Che National Taiwan Ocean University Dept. of Electrical Engineering Taiwan National Formosa University Dept. of Automation Engineering Taiwan

ISBN: (纸本)9788957083505

Autonomous underwater vehicles (AUV), also known as underwater drones, often play the important role of assisting humans to complete the tasks of ocean exploration, monitoring, and inspection of underwater infrastructure. However, the limited power supplied by batteries has restricted the navigation tasks of underwater vehicles. The development of a wireless power transfer (WPT) system for AUVs can be regarded as an important first step to realize a fully unmanned underwater vehicle. Therefore, this paper aims to develop a wireless power transfer system suitable for underwater vehicles to solve charging issues in an underwater environment. Considering the special environment with seawater as the medium, a 200W WPT charging system is implemented based on the full-bridge LLC resonant circuit combined with the loosely coupled coil and the step-down circuit. The experimental results have validated the system is able to operate in an underwater environment with the efficiency up to 90.17% in freshwater and 87.05% in seawater. © 2023 The Korean Institute of Power Electronics.

关键词： Autonomous underwater vehicles

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Moving Average Filter for Optimizing Optical Character Recognition (OCR) on Perfume-Filling Machines

Moving Average Filter for Optimizing Optical Character Recog...

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2023 International Conference on Modeling and E-Information Research, Artificial Learning and Digital Applications, ICMERALDA 2023

作者： Al Kindhi, Berlian Agustya, Galih L. W. Rahayu, Lucky P. Institut Teknologi Sepuluh Nopember Dept. of Electrical Automation Engineering Surabaya Indonesia

ISBN: (纸本)9798350369359

Filling perfume on a filling machine which is controlled based on a time limitation system, causes a difference between the set point and the filling results so that the operator must add or subtract to each perfume bottle that has been filled. Based on this, a perfume filling machine was designed with an effort to increase filling accuracy using a weight limitation system, where a load cell sensor is the instrumentation used. Based on error evaluation calculations using Mean Square Error (MSE), the research method using SMA has an average square error value of 0.195 grams. If expressed as a percentage, the error from noise reduction efforts is 0.20%. Meanwhile, WMA has an average square error value of 0.17 grams and an EMA of 0.62 grams. If expressed as a percentage, the error size of the WMA noise reduction effort is 0.20% and the EMA is 0.35%. The system reduced noise from load cell sensor readings using a simple moving average noise filter method, the Simple Moving Average (SMA) method. The application of the SMA method can increase the accuracy of sensor readings by an average of up to 0.13% in other words this method can reduce the average noise to 0.420 grams which is stable at around 1503 RPM - 1509 RPM, and has minimal vibration. © 2023 IEEE.

关键词： Mean square error

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SIMULATION AND AI FOR CRITICAL INFRASTRUCTURE

SIMULATION AND AI FOR CRITICAL INFRASTRUCTURE

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2024 Winter Simulation Conference, WSC 2024

作者： Jia, Qing-Shan Duan, Chao Feng, Shuo Zhu, Yuhang Hu, Xiao CFINS Dept. of Automation Tsinghua University Beijing China School of Electrical Engineering Xi’an Jiaotong University Shaanxi Province Xi’an China Dept. of Automation Tsinghua University Beijing China

ISBN: (纸本)9798331534202

Simulation and artificial intelligence (AI) have played crucial roles in the design and operational optimization of critical infrastructures in modern societies. In this work we briefly review the latest development in three fields, namely the stability analysis and supply demand matching in electric power grid, and the efficient simulation in autonomous driving. We wish this tutorial may shed some light on the synergy between simulation and AI for critical infrastructure in the near future. © 2024 IEEE.

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Extensions of the Path-integral formula for computation of Koopman eigenfunctions 63

Extensions of the Path-integral formula for computation of K...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Deka, Shankar A. Vaidya, Umesh Aalto University School of Electrical Engineering Department of Electrical Engineering and Automation Espoo02150 Finland Clemson University Dept. of Mechanical Engineering ClemsonSC United States

ISBN: (纸本)9798350316339

Representing nonlinear dynamical systems using the Koopman Operator and its spectrum has distinct advantages in terms of linear interpretability of the model as well as in analysis and control synthesis through the use of well-studied techniques from linear systems theory. As such, efficient computation of Koopman eigenfunctions is of paramount importance towards enabling such Koopman-based constructions. To this end, several approaches have been proposed in literature, including data-driven, convex optimization, and Deep Learning-based methods. In our recent work, we proposed a novel approach based on path-integrals that allowed eigenfunction computations using a closed-form formula. In this paper, we present several important developments such as finite-time computations, relaxation of assumptions on the distribution of the principal Koopman eigenvalues, as well as extension towards saddle point systems, which greatly enhance the practical applicability of our method. © 2024 IEEE.

关键词： Convex optimization

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