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

作者： Petronijević, Milutin Radonjić, Ivana Veselić, Boban Dimitrijević, Marko Milosavljević, Ćedomir Pantić, Lana University of Niš Faculty of Electronic Engineering Power Engineering Department Niš Serbia University of Niš Faculty of Sciences and Mathematics Department of Physics Niš Serbia University of Niš Faculty of Electronic Engineering Control Systems Department Niš Serbia University of Niš Faculty of Electronic Engineering Department of Electronics Niš Serbia University of East Sarajevo Faculty of Electrical Engineering East Sarajevo Bosnia and Herzegovina

ISBN: (纸本)9798350386998

This study offers experimental testing of commercial and laboratory inverters, utilized in a laboratory prototype of an urban microgrid. Operation of grid inverters supplied by PV arrays in urban environments, encounters challenges such as partial shading and soiling. Emulation of the current-voltage characteristics of PV arrays enables repeated and reliable testing of inverter operation under irregular supply conditions. It has been shown that finding the maximum power point can be challenging under conditions of partial shading and soiling. Additionally, meeting the grid quality standards for the delivered power represents a challenge. Satisfying these requirements can be achieved through careful design of LCL filters at inverter output terminals, but further improvement can be achieved only through an adequate selection of the primary controller. To further improve the quality of grid currents, the possibility of applying innovative control algorithms has been demonstrated for laboratory inverters. Application of sliding mode controllers, besides ensuring system robustness, can prevent overshoots and fault responses from the current protection circuit by introducing a specific anti-windup structure. © 2024 IEEE.

关键词： Sliding mode control

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Properties of Resonant Converter as controlled Object with Amplitude, Frequency and Pulse-Width Methods of Output Voltage Regulation 5

Properties of Resonant Converter as Controlled Object with A...

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5th IEEE KhPI Week on Advanced Technology, KhPIWeek 2024

作者： Pavlov, Gennadiy Obrubov, Andrii Vinnychenko, Iryna Kazariezov, Anatolii Department of Computerized Control Systems Admiral Makarov National University of Shipbuilding Mykolaiv Ukraine Department of Ship Electric Power Plants Admiral Makarov National University of Shipbuilding Mykolaiv Ukraine Department of mechanical engineering Admiral Makarov National University of Shipbuilding Mykolaiv Ukraine

On the basis of linearized mathematical models, an analysis of the dynamic and static properties of a two-bridge resonant converter with a series resonant circuit with amplitude, frequency, and pulse-width regulation ... 详细信息

ISBN: (纸本)9798350384499

关键词： Resonant converters

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Adaptive Fault Detection Scheme Using an Optimized Self-healing Ensemble Machine Learning Algorithm

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CSEE Journal of power and Energy systems 2022年第4期8卷 1145-1156页

作者： Levent Yavuz Ahmet Soran AhmetÖnen Xiangjun Li S.M.Muyeen Electrical and Computer Engineering Department in Abdullah Gül University Kayseri 38080Turkey Department of Electrical and Computer Engineering College of EngineeringSultan Qaboos UniversityAl-KhoudMuscat123Oman Department of Electrical Engineering Qatar UniversityDoha 2713Qatar State Key Laboratory of Control and Operation of Renewable Energy and Storage Systems China Electric Power Rescarch InstituteBeijing 100192China

This paper proposes a new cost-efficient,adaptive,and self-healing algorithm in real time that detects faults in a short period with high accuracy,even in the situations when it is difficult to *** than using traditional machine learning(ML)algorithms or hybrid signal processing techniques,a new framework based on an optimization enabled weighted ensemble method is developed that combines essential ML *** the proposed method,the system will select and compound appropriate ML algorithms based on Particle Swarm Optimization(PSO)*** this purpose,power system failures are simulated by using the PSCA D-Python *** of the salient features of this study is that the proposed solution works on real-time raw data without using any pre-computational techniques or pre-stored ***,the proposed technique will be able to work on different systems,topologies,or data *** proposed fault detection technique is validated by using PSCAD-Python co-simulation on a modified and standard IEEE-14 and standard IEEE-39 bus considering network faults which are difficult to detect.

关键词： Decision tree(DT) ensemble machine learning algorithm fault detection islanding operation k-Nearest Neighbor(kNN) linear discriminant analysis(LDA) logistic regression(LR) Naive Bayes(NB) self-healing algorithm

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Distributionally Robust Renewable-Transmission-Storage Planning Considering Carbon Taxes 22

Distributionally Robust Renewable-Transmission-Storage Plann...

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2022 Asia Conference on Electrical, power and Computer engineering, EPCE 2022

作者： Xie, Rui Wei, Wei Mei, Shengwei State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing China

ISBN: (纸本)9781450396127

To protect the environment and lower carbon dioxide emissions, conventional fossil-fuel generators tend to be replaced by renewable generation. The volatile and uncertain renewable generation, as well as the reduced proportion of conventional fossil-fuel generators, causes challenges for power systems in terms of peak shaving. The equipment of energy storage is an important solution for the challenges. This paper proposes a distributionally robust method that coordinatedly plans renewable generation, transmission, and energy storage, minimizing the sum of investment and operation costs including carbon taxes. The operation cost is the optimal value of an operation optimization problem. Wasserstein-metric-based ambiguity set is established to deal with the possible inexactness of the empirical distribution of renewable generation and load uncertainties, based on which the worst-case expectation of operation cost is formulated. By calculating the Lipschitz constant of the operation cost function, the planning model comes down to mixed-integer linear programming. The case study in the IEEE 30-bus system demonstrates the effectiveness of the proposed method. © 2022 Owner/Author.

关键词： Carbon dioxide

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Electromechanical System Of control And Determination Of Strength Of Concrete By NonDestructive Method 4

Electromechanical System Of Control And Determination Of Str...

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4th IEEE KhPI Week on Advanced Technology, KhPI Week 2023

作者： Parashchuk, Lidiya Shelekh, Yurii Sabat, Myroslav Odosii, Lubomyra Deartment of Electromechnical and Electronics Hetman Petro Sahaidachnyi National Army Academy Lviv Ukraine Department of Electric Power Engineering and Control Systems Lviv Polytechnic National University Lviv Ukraine

ISBN: (纸本)9798350395532

The current trend in the development of nondestructive testing of materials in the building industry is mainly concerned with the detection of flaws and defects in concrete elements and structures, and acoustic methods are prospects in this field. An important indicator of the quality of concrete is strength. However, non-destructive testing methods do not allow direct linking of the electrical characteristics with the strength. In this paper, in the form of a graphical dependence using an electromechanical installation based on experimental studies, the relationship between strength and acoustic impedance is shown. © 2023 IEEE.

关键词： Nondestructive examination

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Immersion and Invariance-based Coding for Privacy-PreservingFederated Learning

arXiv

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arXiv 2024年

作者： Hayati, Haleh Murguia, Carlos van de Wouw, Nathan Dynamics & Control Group Department of Mechanical Engineering Eindhoven University of Technology Netherlands Engineering Systems and Design Singapore University of Technology and Design Singapore Singapore

Federated learning (FL) has emerged to preserve privacy in collaborative distributed learning. In FL, clients conduct AI model training directly on their devices rather than sharing their data with a centralized server, which could potentially pose privacy risks. However, it has been shown that despite FL's partial preservation of local data privacy, information about clients' data can still be inferred from shared model updates during the training process. In recent years, several privacy-preserving approaches have been developed to mitigate this privacy leakage in FL. However, they often provide privacy at the cost of model performance or system efficiency. Balancing these trade-offs poses a significant challenge in implementing FL schemes. In this manuscript, we introduce a privacy-preserving FL framework built on the synergy of differential privacy and system immersion and invariance tools from control theory. The core idea is to treat optimization algorithms used in the standard FL schemes (gradient-based algorithms) as a dynamical system that we seek to immerse into a higher-dimensional system (referred here to as the target optimization algorithm). The dynamics of the target optimization algorithm is designed such that, firstly, the model parameters of the original algorithm are immersed/embedded in its parameters, secondly, it works on distorted parameters, and, thirdly, converges to an encoded version of the true model parameters of the original algorithm. The encoded model parameters can be decoded at the server to extract the original model parameters. We demonstrate that the proposed privacy-preserving scheme can be tailored to offer any desired level of differential privacy for local and global model parameters while maintaining the same accuracy and convergence rate as standard FL algorithms. © 2024, CC BY.

关键词： Federated learning

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Solar Energy as a Substitute for Natural Gas in Residential Cooking 8

Solar Energy as a Substitute for Natural Gas in Residential ...

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8th IEEE International Conference for Convergence in Technology, I2CT 2023

作者： Rasel, Mohammad Amin, Fahmida Islam, Safkat Hossain, Shah Mohazzem Saha, Bishwajit PowerChina Hubei Electric Engineering Corporation Department of High Voltage Substation Design and Quality Control Gulshan-2 Dhaka1200 Bangladesh Orient Energy Engineering Limited Department of High Voltage Substation Design and Quality Control Merul Badda East Gulshan Dhaka1212 Bangladesh University of Grenoble Alpes Department of Electrical Engineering and Control Systems Grenoble France Military Institute of Science and Technology Dept. of Electrical Electronic and Communication Engineering Bangladesh International University of Business Agriculture and Technology Dept. of Electrical and Electronic Engineering Bangladesh

ISBN: (纸本)9798350334012

Bangladesh, as a developing nation, faces persistent challenges in satisfying its energy demands, primarily due to its limited natural resource reserves, particularly natural gas. Natural gas is considered a crucial factor in the country's socioeconomic development and serves as the main driving force for its industries and power plants. Nevertheless, its unregulated and extensive utilization poses a threat to the sustainability of all sectors, making it imperative to reduce its consumption. This study focuses on decreasing the consumption of natural gas in the domestic sector by advocating the adoption of induction cooking. In this context, the electrical energy needed for cooking will be derived from the readily accessible rooftop and floating photovoltaic (PV) installations within a particular community. This approach not only satisfies the community's electrical energy requirements but also contributes to mitigating the country's energy crisis to a certain extent. © 2023 IEEE.

关键词： Gases

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Experimental Comparison of H-Infinity Synthesis and Feedback Linearization on a MIMO Gimbal Example

Experimental Comparison of H-Infinity Synthesis and Feedback...

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2023 IEEE Conference on control Technology and Applications, CCTA 2023

作者： Ozcelik, Mert Kurkcu, Burak Bayraktaroglu, Zeki Yagiz Aselsan Inc. Control Systems Design Department Ankara06750 Turkey University of California Department of Mechanical Engineering BerkeleyCA94720 United States Hacettepe University Department of Computer Engineering Ankara06800 Turkey Istanbul Technical University Department of Mechanical Engineering Istanbul34437 Turkey

ISBN: (纸本)9798350335446

This study investigates the controller types and effects of the design techniques on gimbal stabilization. Since implementing the controllers and determining the system's robustness is straightforward, the frequency domain design approaches are widely used with linear controllers in electro-optical inertial stabilized systems. Besides, the required system models can be obtained from experimental data easily. Nevertheless, the system model could change in the operational conditions. Therefore, nonlinear controllers are needed in this situation. In this investigation, we obtained a proper system model using system identification methods to design a mixed-sensitivity H∞ controller. Then, we proposed an input-output feedback linearization controller with a linear quadratic regulator (LQR) based state feedback controller design to stabilize the 2 degrees of freedom (DOF) gimbal. Finally, we compared these two controllers regarding reference tracking, sensitivity function, and disturbance rejection performances on the experimental setup under 6 DOF disturbance profiles. © 2023 IEEE.

关键词： controllers

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Some Use Cases of Security Constrained Economic Dispatch Problem for Outage Work Planning Collaboration System

Some Use Cases of Security Constrained Economic Dispatch Pro...

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IEEE Global Conference on Consumer Electronics (GCCE)

作者： Ichiro Toyoshima Takashi Tatekoji Ryota Mizutani Hiroaki Sato Infrastructure Service Development & Design Department Toshiba Energy Systems & Solutions Corporation Tokyo Japan Power Grid System Solutions Engineering Depattment Toshiba Energy Systems & Solutions Corporation Kawasaki Japan Power Control Computer Systems Department Toshiba Energy Systems & Solutions Corporation Tokyo Japan

ISBN: (数字)9798350355079

ISBN: (纸本)9798350355086

Outage work planning has been essential to maintain the power grid system. For the operators, the planning is troublesome. It is caused by too complex process. The past few years, we have been developing Outage Work planning Collaboration System (OWCS) with some mathematical optimization techniques. Especially, Security Constrained Economic Dispatch(SCED) is extened in some ways to handle various power grid situations.

关键词： Electric potential Costs Key performance indicator Collaboration power grids Planning Security Optimization Consumer electronics

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Intelligent Fault Diagnosis for Low-Voltage power Network

Intelligent Fault Diagnosis for Low-Voltage Power Network

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2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

作者： Anwar, Hamza M. Shafiullah, Md Abido, M.A. Kfupm Control & Instrumentation Engineering Department Dhahran31261 Saudi Arabia Electrical Engineering Department Dhahran31261 Saudi Arabia Kfupm Irc for Renewable Energy and Power Systems Dhahran31261 Saudi Arabia Dhahran31261 Saudi Arabia

ISBN: (纸本)9781665471640

Faults are common and potentially dangerous problems in low-voltage power system networks, e.g., distribution networks. Upon discovery, they must be dealt with immediately to prevent further damage to the distribution system and quickly return electricity to consumers. This paper proposes a hybrid fault diagnosis method combining a signal processing technique with deep learning models. Faults are applied in a four-node test distribution feeder developed using MATLAB and Simulink. Different measurement noise levels are implemented, along with varying load and fault parameters. The short-time Fourier transform (STFT) is used on the feeder's current signals as a feature extraction tool. These features are then used to train deep learning models to detect, classify, and locate faults. Various parameters of the models are varied to find the optimum ones, which are used to obtain the results. The findings show that the model performed exceptionally well in fault detection and classification and satisfactorily in fault location. © 2023 IEEE.

关键词： deep neural networks fault classification fault detection fault location MATLAB/SIMULINK Python Short-time Fourier Transform

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