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7th International Conference on Electric Power Equipment - Switching Technology, ICEPE-ST 2024

作者： Konagi, Ryota Kojima, Hiroki Hayakawa, Naoki Iitsuka, Shinsuke Kobayashi, Masato Nagoya University Department of Electrical Engineering Nagoya Japan Hitachi Industrial Equipment Systems Co. Ltd. Switchgear Systems Design Department Hitachinaka Japan

ISBN: (纸本)9798350388947

Spark conditioning by repeated breakdowns (BDs) with AC voltage application is an effective method for improving dielectric strength in vacuum. During AC conditioning, the multiple BDs occur successively in a half cycle of AC voltage application. It is considered that the multiple BDs are harmful for conditioning and triggered due to the previous BD in the same half cycle. In our previous research, we have confirmed that high frequency AC conditioning suppress the multiple BDs and improves dielectric strength for the Cu electrodes. In this paper, we discuss the electrode material dependence of the dielectric strength improvement in high frequency AC conditioning in vacuum. We compare high frequency AC conditioning effect for the stainless steel (SUS) electrodes with that for the Cu electrodes. Experimental results have revealed that the high frequency AC conditioning improved the dielectric strength by 16% for the Cu electrodes, but did not almost improve for the SUS electrodes. It is considered that the harmful effects of the multiple BDs are significant for electrode materials with high electrical and thermal conductivities such as Cu, and the dielectric strength improvement by the suppression of the multiple BDs due to high frequency AC conditioning is expected to be useful for such electrode materials. © 2024 IEEE.

关键词： Electrodes

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Robust Sliding Mode Control of a Quadrotor With Disturbance Rejection for Enhanced Stability and Performance 6

Robust Sliding Mode Control of a Quadrotor With Disturbance ...

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6th International Conference on Robotics and Automation in Industry, ICRAI 2024

作者： Ullah, Hameed Zarin, Owais Ahmad, Irfan Ahmad, Sarfraz Abbas, Ansar Lippiello, Vincenzo University of Naples Federico II Department of Electrical Engineering and Information Technology Naples Italy Riphah International University Department of Electrical Engineering Islamabad Pakistan School of Bilbao - EIB/BIE University of the Basque Country - UPV/EHU Automatic Control Group ACG Department of Automatic Control and Systems Engineering Rafael Moreno 3 Bilbao48013 Spain CEME Department of Electrical Engineering Islamabad Pakistan

ISBN: (纸本)9798350355703

This research presents a comprehensive analysis of quadrotor stabilization and trajectory tracking control using Proportional-Integral-Derivative (PID) and Sliding Mode Control (SMC) with integrated disturbance rejection. The nonlinear dynamics of the quadrotor are formulated using the Newton-Euler approach, accounting for six degrees of freedom. The PID controller is implemented as a baseline, while the SMC is designed for enhanced robustness to model uncertainties and external perturbations, with a disturbance observer for managing time-varying disturbances. A rigorous Lyapunov stability proof ensures global asymptotic stability of the SMC-controlled system. Extensive simulations evaluate both controllers in terms of tracking accuracy, control effort, and robustness to external disturbances. Results show that SMC outperforms PID in dis-turbance rejection, tracking accuracy, and robustness, making it ideal for UAV applications in complex environments. © 2024 IEEE.

关键词： Sliding mode control

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A Generation Expansion Planning using the PSO-GA algorithm to Reduce Carbon Emissions

A Generation Expansion Planning using the PSO-GA algorithm t...

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

作者： Zadehbagheri, Mahmoud Kuzle, Igor Islamic Azad University Yasuj Branch Department of Electrical Engineering Yasuj*** Iran University of Zagreb Faculty of Electrical Department of Energy and Power Systems Zagreb10000 Croatia

ISBN: (纸本)9789531842976

Generation expansion planning (GEP) is a part of network development planning in which the goal is to determine the characteristics of new power plants that are used to develop the existing productive system. In this article, reducing the number of greenhouse gases in the power system is considered in the long-term planning horizon. In addition, much effort has been made to minimize production costs and maximize power plant profits. According to the results obtained in this paper, the following points can be deduced: Oil power plants are beneficial in both scenarios. For this reason, in both cases, many of these power plants enter the circuit. In the 12-year planning horizon, many liquified natural gas (LNG) power plants have entered the circuit. Nuclear power plants have a large capacity. Also, the maintenance cost of these power plants is low, that's why these power plants are used at the beginning of planning. In the second scenario, fewer LNG power plants are built due to a high tax on LNG plants. Reducing the number of power plants reduces the amount of carbon produced. © 2024 IEEE.

关键词： Carbon capture and utilization

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A Fuzzy Control Strategy for Coordination of Solar PV and Battery systems in a Microgrid

A Fuzzy Control Strategy for Coordination of Solar PV and Ba...

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

作者： Karimi, Ali Zadehbagheri, Mahmoud Abbas, Ali Reza Kuzle, Igor Islamic Azad University Nourabadmamasani Branch Department of Electrical Nourabad Mamasani Mamasani Iran Islamic Azad University Yasuj Branch Department of Electrical Engineering K.B Yasuj*** Iran Fasa University Faculty of Engineering Department of Electrical Engineering Fasa74616-86131 Iran University of Zagreb Faculty of Electrical Department of Energy and Power Systems Zagreb10000 Croatia

ISBN: (纸本)9789531842976

In this paper, a robust fuzzy control strategy is proposed for the coordination of a photovoltaic system with maximum power point tracking control and battery storage control to support the voltage and frequency in an island grid. Control strategies show effective coordination among voltage control and frequency of the converter, control of maximum power point tracking, charging and discharging the battery. Regarding be fix of the integrator controller and proportional controller gain coefficients in different modes, the system should adjust the value of these controllers to a specific value that can improve performance in different operating modes. Considering the capabilities of the fuzzy algorithm in setting variables with changing conditions, in this paper, using the fuzzy algorithm, we set the integral and proportional gain coefficient of the PI controllers based on the error rate. Setting these coefficients based on the type of system mode and using the fuzzy algorithm is one of the objectives of this plan for precise control of the controller coefficients to improve the performance of the system in various operating situations. The results show effective coordination between DGs in the microgrid, taking into account the variability of the solar radiation system and the status of the battery charging constraint. © 2024 IEEE.

关键词： Fuzzy control

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Fault Tolerant Control Modular Multilevel Converter Models (MMCs) with Predictive Control for Open Switch Faults Used in Power Grid Application 22

Fault Tolerant Control Modular Multilevel Converter Models (...

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22nd IEEE Student Conference on Research and Development, SCOReD 2024

作者： Azam, A.H.A. Ayob, S.M. Rapiscan Systems Research & Development Department Skudai Malaysia Universiti Teknologi Malaysia Faculty of Electrical Engineering Skudai Malaysia

ISBN: (纸本)9798331510077

This paper introduces a fault-tolerant control (FTC) approach in conjunction with predictive control mechanisms for MMCs to prevent open switch faults in power grid applications. One of the objectives of the proposed control system is to improve the reliability and minimize the duration of service by addressing faults as they occur. Studies prove that the predictive control mechanism increases the system's response time, making it more stable and decreasing the number of faults leading to power interruption. In light of the findings, extending the useful service life of converter equipment and enhancing the effectiveness of energy transfer is possible. © 2024 IEEE.

关键词： Predictive control systems

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Optimal-state Dynamics Estimation for Physics-based Human Motion Capture from Videos 38

Optimal-state Dynamics Estimation for Physics-based Human Mo...

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38th Conference on Neural Information Processing systems, NeurIPS 2024

作者： Le, Cuong Johansson, Viktor Kok, Manon Wandt, Bastian Department of Electrical Engineering Linköping University Sweden Delft Center for Systems and Control Delft University of Technology Netherlands

Human motion capture from monocular videos has made significant progress in recent years. However, modern approaches often produce temporal artifacts, e.g. in form of jittery motion and struggle to achieve smooth and physically plausible motions. Explicitly integrating physics, in form of internal forces and exterior torques, helps alleviating these artifacts. Current state-of-the-art approaches make use of an automatic PD controller to predict torques and reaction forces in order to re-simulate the input kinematics, i.e. the joint angles of a predefined skeleton. However, due to imperfect physical models, these methods often require simplifying assumptions and extensive preprocessing of the input kinematics to achieve good performance. To this end, we propose a novel method to selectively incorporate the physics models with the kinematics observations in an online setting, inspired by a neural Kalman-filtering approach. We develop a control loop as a meta-PD controller to predict internal joint torques and external reaction forces, followed by a physics-based motion simulation. A recurrent neural network is introduced to realize a Kalman filter that attentively balances the kinematics input and simulated motion, resulting in an optimal-state dynamics prediction. We show that this filtering step is crucial to provide an online supervision that helps balancing the shortcoming of the respective input motions, thus being important for not only capturing accurate global motion trajectories but also producing physically plausible human poses. The proposed approach excels in the physics-based human pose estimation task and demonstrates the physical plausibility of the predictive dynamics, compared to state of the art. The code is available on. © 2024 Neural information processing systems foundation. All rights reserved.

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Achieving an Accurate Random Process Model for PV Power Using Cheap Data:Leveraging the SDE and Public Weather Reports

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CSEE Journal of Power and Energy systems 2025年第1期11卷 124-135页

作者： Yiwei Qiu Jin Lin Zhipeng Zhou Ningyi Dai Feng Liu Yonghua Song College of Electrical Engineering Sichuan UniversityChengdu610065China State Key Laboratory of the Control and Simulation of Power Systems and Generation Equipment Tsinghua UniversityBeijing 100087China State Key Laboratory of Internet of Things for Smart City University of MacaoMacao999078China Department of Electrical Engineering Tsinghua UniversityBeijing100087China

Stochastic differential equation (SDE)-based random process models of renewable energy sources (RESs) jointly capture evolving probability distribution and temporal correlation in continuous time. It enabled recent studies to remarkably improve performance of power system dynamic uncertainty quantification and optimization. However, considering the non-homogeneous random process nature of PV, there still remains a challenging question: how can a realistic and accurate daily SDE model for PV power be obtained that reflects its weather-dependent and non-Gaussian uncertainty in operation, especially when high-resolution numerical weather prediction (NWP) or sky imager is unavailable for many distributed plants? To fill this gap, this article finds that an accurate SDE model for PV power can be constructed only using the data from low-resolution public weather reports. Specifically, for each day, an hourly parameterized Jacobi diffusion process recreates temporal patterns of PV volatility. Its parameters are mapped from the day's public weather reports to reflect varying weather conditions using a simple learning model. The SDE model jointly captures intraday and intrahour volatility. Statistical examination shows that the proposed approach outperforms a selection of the latest deep learning-based time series models on real-world data collected in Macao.

关键词： Photovoltaic(PV)power random process stochastic differential equation(SDE) stochastic optimization time series modeling uncertainty quantification weather report

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Optimal Configuration of Stand-Alone Hybrid Energy System in New Tiba City, Luxor, Egypt 5

Optimal Configuration of Stand-Alone Hybrid Energy System in...

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5th International Youth Conference on Radio Electronics, electrical and Power engineering, REEPE 2023

作者： El-Aziem, Zakaria Abd Kamel, Salah El-Sattar, Hoda Abd Nasrat, Loai Tolba, Mohamed A. Aswan University Faculty of Engineering Electrical Engineering Department Luxor Egypt Luxor Higher Institute of Engineering and Technology Electrical Engineering Department Luxor Egypt Nru Mpei Electrical Power Systems Department Moscow Russia Egyptian Atomic Energy Authority Nuclear Research Center Reactors Department Cairo Egypt

ISBN: (纸本)9798350399523

Small-grid projects for the production of electricity can be easily integrated into the energy production strategy, which can be linked to the public network or work as independent networks serving remote areas. This paper describes an approach for the optimal configuration of a standalone hybrid energy system (HES) in New Tiba City located in the northeast of Luxor City, Egypt. This HES consists of photovoltaic (PV) panels and wind turbines as the main energy source and the backup power supply includes a battery storage system and diesel generator. A new stochastic nature-inspired optimization algorithm called Pelican Optimization Algorithm (POA) is used to obtain and select the size of the system units, which can be suitable for modeling and optimized with the least Cost of Energy (COE), Net Present Cost (NPC). The findings of the POA approach were compared with using other optimization algorithms CSA (Chameleon Swarm Algorithm) and HBA (Honey Badger Algorithm) to show the POA effectiveness. The results show the effectiveness of the POA algorithm to solve the optimal economic design problem for hybrid microgrid power systems with the best NPC, and COE 7,269,332.55 $, 0.248180825$/kWh, respectively. © 2023 IEEE.

关键词： Stochastic systems

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Investigating the Performance of Graded Index Nanocomposite-Perovskite Solar Cells

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Applied Solar Energy (English translation of Geliotekhnika) 2023年第5期59卷 587-594页

作者： El-Khozondar, Hala J. Shabat, Mohammed M. Department of Electrical Engineering and Smart Systems Islamic University of Gaza Gaza Palestine Department of Materials and London Centre for Nanotechnology Imperial College London London United Kingdom Physics Department Islamic University of Gaza Gaza Palestine Department of Mathematics Physics and Electrical Engineering Northumbria University Newcastle upon Tyne United Kingdom

Abstract: This study presents a novel four-layer solar cell design, composed of NiOx embedded in glass on top of a perovskite layer and SnO2 substrate. Incident light enters through the glass layer and exits through the substrate into the surrounding air. A novel graded index of the composite layer is proposed where the refractive index varies with the vertical distance from the glass interface. Using the Maple program, we calculate the transmittance, reflectance, and absorbance powers of the proposed solar cells, while examining the influence of different parameters on these powers. Our findings indicate that the transmittance, reflection, and absorption powers are sensitive to changes in layer thickness. Specifically, we observe that the absorbance power approaches unity for longer wavelengths while remaining above 0.7 for shorter wavelengths. Furthermore, we propose integrating this cell into a tandem solar cell configuration, where it can complement another cell by providing support in longer wavelengths and high absorbance in shorter wavelengths. © Allerton Press, Inc. 2023. ISSN 0003-701X, Applied Solar Energy, 2023, Vol. 59, No. 5, pp. 587–594. Allerton Press, Inc., 2023.

关键词： Absorbance

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Robust Control and Unified Operation of Integrated Fuel Cell Electric Vehicle and Supercapacitor 25

Robust Control and Unified Operation of Integrated Fuel Cell...

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25th IEEE International Conference on Industrial Technology, ICIT 2024

作者： Eltoum, M. A Mohammed Jacknoon, Aman Khan, Khalid Khalid, Muhammad Control & Instrumentation Engineering Department Saudi Arabia Kfupm Electrical Engineering Department Dhahran31261 Saudi Arabia Irc For Sustainable Energy Systems Kfupm Dhahran31261 Saudi Arabia

ISBN: (纸本)9798350340266

The slow response rate of fuel cells (FC) proves to hinder the progression of fuel cell hybrid electric vehicles (FCHEVs). In this paper, a unified robust nonlinear control technique is designed for FCHEV-integrated supercapacitors (SC). Therefore, the FCHEV's requirements can be systematically balanced between FC with high energy density and SC with high power density. Accordingly, the hybrid energy storage system enables better driving range as well as a comparatively lower weight than battery-based electric vehicles. The proposed control technique utilizes feedback linearization in combination with sliding mode control to mitigate the impact of system uncertainties with minimal tracking error. The efficacy is demonstrated based on the presented DC-bus voltage regulation, SC current, and FC current. © 2024 IEEE.

关键词： Sliding mode control

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