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Smart Grid Conference (SGC)

作者： Mohammad Mohsen Hayati Hassan Majidi Hossein Shahinzadeh Mehdi Abapour Mahmud Fotuhi-Firuzabad Gevork B. Gharehpetian Faculty of Electrical and Computer Engineering Energy Systems Research Institute (ESRI) University of Tabriz Tabriz Iran Department of Electrical Engineering Amirkabir University of Technology Tehran Iran Center of Excellence in Power System Management and Control (CEPSMC) Sharif University of Technology Tehran Iran

ISBN: (数字)9798331511333

ISBN: (纸本)9798331511340

Smart energy networks (SENs) face numerous challenges related to security, reliability, operational uncertainties, and increasing penetration of renewable energies (REs), necessitating advanced methodologies for adequacy and security assessment. This study delves into the utilization of machine learning-driven approaches (MLDAs) to quantify reliability and gauge the dependability of future sustainable SENs. By autonomously acquiring knowledge from datasets, MLDAs offer swift and reliable evaluations, surpassing traditional methodologies. The integration of artificial intelligence (AI) in enhancing power system reliability is highlighted, emphasizing the importance of extensive datasets and evolving AI algorithms. Data-driven approaches empower energy network operators to proactively identify and mitigate security risks, enhancing the reliability of critical infrastructure systems. The research underscores the significance of constructing reliable databases, addressing challenges in real-time operations, and ensuring the performance and trustworthiness of machine learning (ML) algorithms. Overall, the study showcases the potential of ML techniques in revolutionizing reliability management and risk assessment in smart energy networks, paving the way for sustainable and reliable power systems.

关键词： Uncertainty Machine learning algorithms Databases Machine learning power system reliability Smart grids Management Reliability Security Risk management

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Remarks on the behavior of a multistable DC drive in the presence of noise 12

Remarks on the behavior of a multistable DC drive in the pre...

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12th IEEE International Conference on Electronics and Information Technologies, ELIT 2021

作者： Kuznyetsov, Oleksiy Paranchuk, Yaroslav Department of Electromechanics and Electronics Hetman Petro Sahaidachnyi National Army Academy Lviv Ukraine Institute of Power Engineering and Control Systems Lviv Polytechnic National University Lviv Ukraine

ISBN: (纸本)9781665442961

power electronic converters due to their inherent switching nature introduce nonlinearity in an electric drive system. That is sometimes exhibited in the form of the coexistence of several stable regimes (or attractors) for the same set of parameters and inputs, referred to as multistability. We study the behavior of a chopper-fed DC drive for the several sets of parameters and inputs, when the system exhibits multistability, in the presence of noise. In particular, we qualitatively characterize the coexisting attractors by what we call their robustness to noise, by comparing the level of noise required to observe the noise-induced tipping from one attractor into another. We depict that the "main" attractor (related to the nominal operation of the drive) is the most robust-to-noise one among the coexisting for all cases being analyzed. In those terms we explain the drive’s behavior in the noisy environment—whether the effect of multistability takes the form of tipping or intermittency. © 2021 IEEE.

关键词： Dynamical systems

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Modified projected Gauss-Newton method for constrained nonlinear least-squares: application to power flow analysis

Modified projected Gauss-Newton method for constrained nonli...

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European control Conference (ECC)

作者： Yassine Nabou Lucian Toma Ion Necoara Automatic Control and Systems Engineering Department University Politehnica Bucharest Bucharest Romania Electrical Power Systems Department University Politehnica Bucharest Bucharest Romania Gheorghe Mihoc-Caius Iacob Institute of Mathematical Statistics and Applied Mathematics of the Romanian Academy Bucharest Romania

In this paper, we consider a modified projected Gauss-Newton method for solving constrained nonlinear least-squares problems. We assume that the functional constraints are smooth and the the other constraints are represented by a simple closed convex set. We formulate the nonlinear least-squares problem as an optimization problem using the Euclidean norm as a merit function. In our method, at each iteration we linearize the functional constraints inside the merit function at the current point and add a quadratic regularization, yielding a strongly convex subproblem that is easy to solve, whose solution is the next iterate. We present global convergence guarantees for the proposed method under mild assumptions. In particular, we prove stationary point convergence guarantees and under Kurdyka-Lojasiewicz (KL) property for the objective function we derive convergence rates depending on the KL parameter. Finally, we show the efficiency of this method on the power flow analysis problem using several IEEE bus test cases.

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Cause Identification of Single-line-to-ground Fault in Distribution System

Cause Identification of Single-line-to-ground Fault in Distr...

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2021 International Conference on power System Technology, powerCON 2021

作者： Liu, Kun Ren, Xuan Wang, Bin Power Dispatch Control Center of Guangdong Power Grid Co. Ltd Key Lab for Protective Relaying Real Time Digital Simulation of Guangdong Power Grid Co. Ltd. Guangzhou China Tsinghua University Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electric Engineering Beijing China

ISBN: (纸本)9781665407373

Cause identification of single-line-to-ground fault in the distribution system is of great significance to the electric workers for fault isolation and rapid maintenance. The key of fault cause identification is to accurately and quickly distinguish human electric shock faults from non-biological faults. In this paper, human electric shock faults and non-biological faults are modeled and fault characteristics are analyzed. Based on the differences between shape and rotation characteristic of the volt-ampere characteristic curves, a fault cause identification method which can distinguish human electric shock faults from non-biological faults is proposed. Simulations show the effectiveness of the method. © 2021 IEEE.

关键词： Electric grounding

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Modelling and Optimal design of Hybrid power System Photovoltaic/Solid Oxide Fuel Cell for a Mediterranean City

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Energy engineering 2021年第6期118卷 1767-1781页

作者： Bachir Melzi Nesrine Kefif Mamdouh El Haj Assad Haleh Delnava Abdulkadir Hamid School of Materials Sciences and Engineering Wuhan University of TechnologyWuhanChina Power and Control Department Electronic and Electrical Engineering InstituteM’hamed Bougara UniversityBoumerdesAlgeria Sustainable and Renewable Energy Engineering Department University of SharjahSharjahUnited Arab Emirates Institute of Manufacturing Information and Systems National Cheng Kung UniversityTainanTaiwan Electrical Engineering Department University of SharjahSharjahUnited Arab Emirates

This work presents a hybrid power system consisting of photovoltaic and solid oxide fuel cell(PV-SOFC)for electricity production and hydrogen *** simulation of this hybrid system is adjusted for Bou-Zedjar city in north *** software was used for this simulation to calculate the power output and the total net present *** method used depends on the annual average monthly values of clearness index and radiation for which the energy contributions are determined for each component of PV/SOFC hybrid *** economic study is more important criterion in the proposed hybrid system,and the results show that the cost is very suitable for the use of this hybrid system,which ensures that the area is fed continuously with the sufficient energy for the load which assumed to be 500 kW in the peak *** optimized results of the present study show that the photovoltaic is capable of generating 8733 kW electricity while the SOFC produces 500 kW *** electrolyzer is capable of producing 238750 kg of hydrogen which is used as fuel in the SOFC to compensate the energy lack in nights and during peak season.

关键词： Energy storage PV/SOFC hybrid systems hydrogen production energy and economic optimization

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Speed-Sensorless Predictive Direct Speed control for PMSM Drives 8

Speed-Sensorless Predictive Direct Speed Control for PMSM Dr...

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8th Southern power Electronics Conference and the 17th Brazilian power Electronics Conference, SPEC / COBEP 2023

作者： Zerdali, Emrah Rivera, Marco Wheeler, Patrick Toledo, Sergio Ege University Department of Electrical and Electronics Engineering Izmir Turkey University of Nottingham Power Electronics and Machine Centre - Pemc Faculty of Engineering 15 Triumph Rd Lenton NottinghamNG7 2GT United Kingdom Vicerrectoría de Innovación Universidad de Talca Laboratorio de Conversión de Energías y Electrónica de Potencia - Lceep Merced 437 Curicó3341717 Chile Universidad Nacional de Asunción Laboratory of Power and Control Systems Luque2060 Paraguay

ISBN: (纸本)9798350321128

Predictive direct speed control (PDSC) of electric motors makes the control of both electrical and mechanical systems possible over a single control law by eliminating the cascade control structure. Speed-sensorless control also reduces the cost of electric drive while increasing system reliability. In this paper, a speed-sensorless PDSC-based permanent magnet synchronous motor (PMSM) drive is proposed, which combines the advantages of speed-sensorless control and the PDSC strategy. An extended Kalman filter (EKF) is designed to estimate stator currents, speed, position, and load torque. By using estimated stator currents in the prediction models of the PDSC, a reduction in current/torque ripples is achieved. Additionally, EKF uses a PMSM model defined in the stator stationary reference frame to eliminate the adverse effect of the initial position estimation errors. The proposed drive system is tested in different operating conditions, and finally, satisfactory control performance is achieved overall. © 2023 IEEE.

关键词： Model predictive control permanent magnet synchronous motor predictive direct speed control speed-sensorless control

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Forecasted Scenarios of Regional Wind Farms Based on Regular Vine Copulas

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Journal of Modern power systems and Clean Energy 2020年第1期8卷 77-85页

作者： Zhao Wang Weisheng Wang Chun Liu Bo Wang State Key Laboratory of Operation and Control of Renewable Energy&Storage Systems China Electric Power Research InstituteBeijingChina Department of Electrical Engineering Tsinghua UniversityBeijingChina

Owing to the uncertainty and volatility of wind energy,forecasted wind power scenarios with proper spatio-temporal correlations are needed in various decision-making problems involving power *** this study,forecasted scenarios are generated from an estimated multi-variate distribution of multiple regional wind *** to the theory of copulas,marginal distributions and the dependence structure of multi-variate distribution are modeled through the proposed distance-weighted kernel density estimation method and the regular vine(R-vine)copula,*** to the flexibility of decomposing correlations of high dimensions into different types of pair-copulas,the R-vine copula provides more accurate results in describing the complicated dependence of wind *** the case of 26 wind farms located in East China,highquality forecasted scenarios as well as the corresponding probabilistic forecasting and point forecasting results are obtained using the proposed method,and the results are evaluated using a comprehensive verification framework.

关键词： Forecasted scenarios wind power distanceweighted kernel density estimation(KDE) regular vine(R-vine)copula spatio-temporal correlation

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Predictive Direct Speed control of PMSM without Weighting Factors 8

Predictive Direct Speed Control of PMSM without Weighting Fa...

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8th Southern power Electronics Conference and the 17th Brazilian power Electronics Conference, SPEC / COBEP 2023

作者： Zerdali, Emrah Rivera, Marco Wheeler, Patrick Toledo, Sergio Ege University Department of Electrical and Electronics Engineering Izmir Turkey Power Electronics and Machine Centre-PEMC University of Nottingham Faculty of Engineering 15 Triumph Rd Lenton NottinghamNG7 2GT United Kingdom Vicerrectoría de Innovación Universidad de Talca Laboratorio de Conversión de Energías y Electrónica de Potencia - Lceep Merced 437 Curicó3341717 Chile Universidad Nacional de Asunción Laboratory of Power and Control Systems Luque2060 Paraguay

ISBN: (纸本)9798350321128

Predictive direct speed control (PDSC) of electric drives eliminates the cascade control structure and provides faster speed and current/torque response, but suffers from the selection of weighting factors (WFs). This paper proposes a PDSC strategy without WFs for permanent magnet synchronous motor (PMSM) drives. The proposed method evaluates each control objective separately and decides on the optimum voltage vector using normalized Euclidean distances in n-dimensional space generated by the objective functions. Simulation results show that it provides good control performance in different operating conditions with its inherent overcurrent protection feature while simplifying the design process. Finally, the proposed method overcomes the difficulty of WF selection in the traditional PDSC strategy with a slight additional computational load and also improves the overall control performance. © 2023 IEEE.

关键词： Model predictive control permanent magnet synchronous motor predictive direct speed control weighting factors

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Development of a High-Frequency power Source Dedicated to DBD Reactors for Ozone Production

Development of a High-Frequency Power Source Dedicated to DB...

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International Conference on Advanced Electrical engineering (ICAEE)

作者： Seyf Eddine Bechekir Meriem Belabed Mostefa Brahami Mokhtaria Jbilou Said Nemmich Mohemed Amine Marref Department of Electrical Engineering Intelligent Control and Electrical Power Systems Laboratory Djillali Liabes University of Sidi Bel-Abbes Algeria Laboratory of Applications of Plasma Electrostatics and Electromagnetic Compatibility (APELEC) Djillali Liabes University of Sidi Bel-Abbes Algeria Intelligent Control and Electrical Power Systems Laboratory Djillali Liabes University of Sidi Bel-Abbes Algeria Institute of Applied Sciences and Technologies University of Sciences and Technology of Oran MB Algeria

ISBN: (数字)9798350349351

ISBN: (纸本)9798350349368

This paper presents the implementation of a half-bridge resonant inverter to power a dielectric barrier discharge (DBD) ozone generator. We use the PIC16F876A microcontroller-based control circuit to vary the inverter frequency. We use a step-up transformer to obtain the high voltage required for the DBD. We conducted an experimental study to investigate the impact of frequency and voltage on ozone production and power consumption. The results show that these two parameters have a strong influence. This study demonstrates the advantages of using a resonant inverter combined with optimum electrical parameter adjustment to achieve excellent energy efficiency for the DBD ozone generator. The choice of a resonant half-bridge topology aims to maximize energy efficiency, crucial in a solar-powered system. The circuit has been optimized to reduce switching losses. In addition, the development of the power source takes into account the capacitive nature of DBD reactors, using a series resonant circuit formed by the DBD capacitance and the step-up transformer inductance. The frequency range from 14 kHz to 17.5 kHz has been specifically chosen and optimized for the DBD reactor, taking into account the constraints of the PV source and the characteristics of the discharge.

关键词： Gases Resonant frequency Production Transformers Discharges (electric) Corona Energy efficiency Inductors Frequency control Resonant inverters

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Thermal Management Approaches for power Electronic Building Blocks and power Corridors

Thermal Management Approaches for Power Electronic Building ...

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IEEE Electric Ship Technologies Symposium, ESTS

作者： J. C. Ordonez C. Sailabada J. Chalfant C. Chryssostomidis C. Li K. Luo E. Santi B. Tian A. Biglo N. Rajagopal J. Stewart C. DiMarino Department of Mechanical Engineering Center for Advanced Power Systems Florida State University Tallahassee FL MIT Sea Grant Design Laboratory Massachusetts Institute of Technology Cambridge MA USA Department of Mechanical Engineering University of South Carolina Columbia SC Department of Electrical Engineering University of South Carolina Columbia SC Center for Power Electronics Systems (CPES) Virginia Polytechnic Institute and State University Arlington VA USA

This paper presents an overview of thermal management solutions that are being investigated for power electronic building blocks and their integration into power corridors, both of which are seen as enablers of flexible and reconfigurable power distribution systems in the next generation Navy ships. Air, liquid, two-phase, and indirect cooling approaches are discussed in the context of specific building block configurations built and designed at CPES (Virginia Tech). The paper concludes with an overview of ongoing efforts towards the design, construction, and testing of technology prototypes.

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