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International Scientific Conference on Electric power engineering (EPE)

作者： Tomas Gono Lukas Vavra Petr Krejci Michal Jasinski Bretislav Stacho Department of Electrical Power Engineering VSB –Technical University of Ostrava Ostrava Czech Republic Faculty of Electrical Engineering Wroclav University of Science and Technology Wroclaw Poland IAPI –Power systems ABB Operation Center EUOPC Ostrava Czech Republic

ISBN: (数字)9798350348774

ISBN: (纸本)9798350348781

This paper focuses on the pivotal role of Harmonic Filters (HFs) in mitigating harmonic distortion within electrical systems to enhance power quality and efficiency. Harmonic distortion, characterized by deviations from the ideal sinusoidal waveform of electrical power, can cause equipment malfunctions, overheating, and a reduced lifespan of infrastructure. HFs, known for their cost-effectiveness and simplicity, employ inductors, capacitors, and resistors to selectively reduce specific harmonic frequencies, thereby improving system reliability and performance. The document explores traditional design methodologies of harmonic filter design, emphasizing criteria and considerations critical for effective harmonic mitigation. It highlights the use of advanced simulation tools, such as MATLAB/Simulink and PF DigSilent, which enable precise analysis and optimization of filter designs to meet specific system requirements. Moreover, it discusses the significance of designing filters with adequate margins to ensure system safety and reliability, considering the variability of loads and the presence of other harmonic sources. Driven by the necessity to enhance harmonic filter design in the face of increasingly complex electrical infrastructures, this paper advocates for leveraging recent advances in simulation tools.

关键词： Resistors Design methodology Harmonic filters Hafnium Harmonic analysis Reliability engineering Harmonic distortion

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AI-Enabled Smart Hybrid Energy Optimization Management System for Green Hydrogen-Based Islanded Microgrids

AI-Enabled Smart Hybrid Energy Optimization Management Syste...

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Novel Intelligent and Leading Emerging Sciences Conference (NILES)

作者： Noor El-Deen M. Mohamed Helmy M. El Zoghby Mostafa M. Abdelhakam Mahmoud M. Elmesalawy Computer and Systems Engineering Department Faculty of Engineering Helwan University Cairo Egypt Department of Electrical Power and Machines Engineering Helwan University Cairo Egypt Electronics and Communications Engineering Department Faculty of Engineering Helwan University Cairo Egypt

ISBN: (数字)9798350378511

ISBN: (纸本)9798350378528

Renewable hybrid energy systems are crucial for ensuring energy sustainability. This work presents an advanced control and management system for green hydrogen production, leveraging artificial intelligence (AI) and Internet of Things (IoT) technologies. The system optimizes renewable energy utilization, improves hydrogen production efficiency, and ensures a reliable energy supply to meet varying demands. AI algorithms are used, including Random Forest, Artificial Neural Networks (ANN) and Long Short-Term Memory (LSTM) networks to forecast photovoltaic (PV) energy production and load consumption. These models are integrated into a centralized control system that dynamically adjusts energy distribution between immediate consumption and hydrogen production. Using data from the Rye microgrid, the system's effectiveness is demonstrated in enhancing decision-making for energy management in small-scale islanded operations.

关键词： Decision making Production Microgrids Predictive models Green hydrogen Reliability Internet of Things Energy management Long short term memory Load modeling

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Decision Support for power System Restoration: Mitigating Risks of Dynamic Phenomena

Decision Support for Power System Restoration: Mitigating Ri...

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IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe)

作者： Joachim Vermunicht Tadej Škrjanc Bence Sütő Dirk Van Hertem Urban Rudež Dávid Raisz Willem Leterme Dept. Electrical Engineering KU Leuven/Etch EnergyVille Leuven/Genk Belgium Faculty of Electrical Engineering University of Ljubljana Ljubljana Slovenia Dept. of Electric Power Engineering Budapest University of Technology and Economics Budapest Hungary Institute of Power Systems and Power Economics RWTH Aachen Germany

ISBN: (数字)9798350390421

ISBN: (纸本)9798350390438

Enhancing existing power system restoration procedures is crucial as renewable energy sources, grid-connected converters, and underground cables become more prevalent. Faster power system restoration is key to achieving higher power system resilience. This paper proposes a systematic approach to re-energize the grid using a Markov Decision Process, while taking into account transient and dynamic phenomena during power system restoration. By quantifying the risks associated with frequency stability, resonant temporary overvoltages, and converter stability, our method informs operators of problematic states that would lead to critical operating points and ultimately set up the restoration process to fail. Furthermore, it calculates an optimal set of actions from a given state, considering these dynamic factors. The assigned costs for all states during power system restoration guide decision-making, ensuring system stability and power balance.

关键词： Costs Markov decision processes power system dynamics Stability criteria Resonant frequency power system stability Frequency conversion power system restoration Transient analysis Surges

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Diagnostic Strategies for Microturbines Operating Status Applied to Predictive Maintenance: Experimental Test Case

Diagnostic Strategies for Microturbines Operating Status App...

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ASME Turbo Expo 2023: Turbomachinery Technical Conference and Exposition, GT 2023

作者： Álvarez, Eduardo Á. Yosry, Ahmed G. Jiménez, Aitor F. Rodríguez, Antonio C. Secades, Manuel R. Hydraulic R&D EP Mieres University of Oviedo Mieres Spain Mechanical Power Department Faculty of Engineering Port Said University Egypt Electrical and Electronic Systems Department EPI Gijón University of Oviedo Gijón Spain

ISBN: (纸本)9780791887127

The current study represents a preliminary step towards detecting operating problems in wind microturbines automatically. The electrical frequency signal generated by the turbine allows for the detection of operating issues during its power stage. To conduct a comprehensive study, a vertical-axis microturbine has been tested, under various failure conditions, inside a closed-loop wind tunnel. An electronic data acquisition system has been developed to continuously measure the frequency signal during the experiments. The output data, including the power and the frequency signals, has been analyzed in terms of average frequency and standard deviation. The collected and stored data is accessible through an operation and maintenance system, which uses an AI-based algorithm and a Jupyter Notebook tool that is executed in Python. Copyright © 2023 by ASME.

关键词： Internet of things

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Current Sensorless Model Predictive Control of Matrix Converter With Zero Common-Mode Voltage 48

Current Sensorless Model Predictive Control of Matrix Conver...

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48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022

作者： Sarajian, Ali Guan, Quanxue Wheeler, Patrick Khaburi, Davood Arab Kennel, Ralph Rodriquez, Jose Technical University of Munich Institute for High-Power Converter Systems Germany Sun Yat-Sen University School of Intelligent Systems Engineering Guangzhou China University of Nottingham Department of Electrical and Electronics Engineering United Kingdom Iran University of Science and Technology Department of Electrical and Electronics Engineering Iran Universidad San Sebastian Faculty of Engineering Santiago Chile

ISBN: (数字)9781665480253

ISBN: (纸本)9781665480253

To eliminate the common-mode voltage (CMV) for matrix converters, this paper proposes a current sensorless model predictive control with reduced calculation overhead. In contrast to other traditional CMV-reducing methods which use all permissible switching configurations, this method synthesizes the output voltage and the input current with only six rotating vectors that lead to zero CMV. The proposed technique does not need to predict future load currents and source currents for those six rotating vectors, which provides another advantage in term of computation efficiency. Additionally, all current sensors are removed by using a Luenberger state observer instead in the control loop for cost reduction. The effectiveness of the proposed method is evaluated through simulation in different operation conditions. © 2022 IEEE.

关键词： Model predictive control

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A Current Sensorless Computationally Efficient Model Predictive Control for Matrix Converters 48

A Current Sensorless Computationally Efficient Model Predict...

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48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022

ISBN: (数字)9781665480253

ISBN: (纸本)9781665480253

Model Predictive Control (MPC) is becoming more popular than ever as an alternative to conventional modulations such as Space Vector Modulation methods to control matrix converters (MCs). However, the implementation of MPC is computationally expensive, because control objectives are required to evaluate all admissible switching states of the converter. Additionally, a large number of sensors to measure the 3-phase load currents, source currents, source voltages, and input voltages of MCs increases the overall cost. To sort this out, an efficient MPC is proposed for MCs to enable fast computation and low cost. This approach eliminates the calculations of future load currents and source currents for all possible switching states, requiring only two predictions for the calculation of output voltage and input current references. Further, it removes all current sensors by employing a Luenberger observer. A simulation study has demonstrated that the proposed method can reduce the computation overhead and hardware cost dramatically, leading to high-frequency operation and good converter performance. © 2022 IEEE.

关键词： Model predictive control

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Dual-Objective Mixed Integer Linear Program and Memetic Algorithm for an Industrial Group Scheduling Problem

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IEEE/CAA Journal of Automatica Sinica 2021年第6期8卷 1199-1209页

作者： Ziyan Zhao Shixin Liu MengChu Zhou Abdullah Abusorrah State Key Laboratory of Synthetical Automation for Process Industries and the College of Information Science and Engineering Northeastern UniversityShenyang 110819China Department of Electrical and Computer Engineering New Jersey Institute of TechnologyNewark NJ 07102 USA Center of Research Excellence in Renewable Energy and Power Systems King Abdulaziz UniversityJeddah 21481Saudi Arabia Department of Electrical and Computer Engineering Faculty of Engineeringand Center of Research Excellence in Renewable Energy and Power SystemsKing Abdulaziz UniversityJeddah 21481Saudi Arabia

Group scheduling problems have attracted much attention owing to their many practical *** work proposes a new bi-objective serial-batch group scheduling problem considering the constraints of sequence-dependent setup time,release time,and due *** is originated from an important industrial process,i.e.,wire rod and bar rolling process in steel production *** objective functions,i.e.,the number of late jobs and total setup time,are minimized.A mixed integer linear program is established to describe the *** obtain its Pareto solutions,we present a memetic algorithm that integrates a population-based nondominated sorting genetic algorithm II and two single-solution-based improvement methods,i.e.,an insertion-based local search and an iterated greedy *** computational results on extensive industrial data with the scale of a one-week schedule show that the proposed algorithm has great performance in solving the concerned problem and outperforms its *** high accuracy and efficiency imply its great potential to be applied to solve industrial-size group scheduling problems.

关键词： Insertion-based local search iterated greedy algorithm machine learning memetic algorithm nondominated sorting genetic algorithm II(NSGA-II) production scheduling

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Improvement of adaptive single-phase automatic reclosing in extra-high voltage lines 12

Improvement of adaptive single-phase automatic reclosing in ...

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12th International Conference and Exposition on electrical and power engineering, EPE 2022

作者： Makhmudov, Karomatullo Krasilnikova, Tatyana Ghulomzoda, Anvari Safaraliev, Murodbek Beryozkina, Svetlana Zicmane, Inga Novosibirsk State Technical University Department of Automated Electric Power Systems Novosibirsk Russia Ural Federal University Department of Automated Electrical Systems Yekaterinburg Russia American University of the Middle East College of Engineering and Technology Kuwait Riga Technical University Faculty of Electrical and Environmental Engineering Riga Latvia

ISBN: (数字)9781665489942

ISBN: (纸本)9781665489942

The article deals with the issue of improving the adaptive single-phase automatic reclosing in extra-high voltage lines. The adaptive single-phase automatic reclosing devices developed in our country and abroad reduce the probability of switching on a phase at the final stage of the single-phase automatic reclosing to an unresolved single-phase short circuit or a re-arising arc, but do not completely exclude such a situation. A method is proposed in which, by preliminary calculations of the currents of the emergency phase, two zones adjacent to the systems are determined on the line, and a short-term one-sided switching on/off the emergency phase is carried out from the side of system 1, if a short or arc fault is detected in the second zone adjacent to system 2, and accordingly one-sided closing of the emergency phase from system 2, if a fault is detected in zone 1 adjacent to system 1. The proposed method for improving the adaptive single-phase automatic reclosing makes it possible to reliably identify a single-phase short or arc fault in 500 and 750 kV extra-high voltage lines with their length in the range 300 - 600 km. An example of calculating the zone boundary on a 500 kV line 500 km long is given, the necessary settings for reliable damage identification are determined. © 2022 IEEE.

关键词： Timing circuits

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Test device for in-field validation of grid-friendly controlled electric vehicle supply equipment in AC/mode 3 and DC/mode 4 charging

Test device for in-field validation of grid-friendly control...

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7th E-Mobility power System Integration Symposium (EMOB 2023)

作者： L. Baum A. Stadler S. Darvish D. Schulz Chair of Electrical Power Systems Faculty of Electrical Engineering Helmut Schmidt University/University of the Bundeswehr Hamburg Holstenhofweg 85 22043 Hamburg Germany

The large-scale deployment of grid-friendly controllable charging infrastructure or electric vehicle supply equipment for e.g. congestion management does pose the necessity for dedicated testing equipment. This work presents the design requirements and test device concepts for such a test device. The proposed test device combines test capabilities for both Mode 3/AC and Mode 4/DC charging infrastructure. The norm-conforming communication protocols are implemented and available for monitoring, while also testing under real load conditions is available while being independent of a mains connection. Further, the test device was validated using extensive testing with different EVSE. The applicability for in-field usage is shown.

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Optimal Tuning for Virtual Inertia Control and Fopid Controller Based on Multi-Area Interconnected Microgrid power System Using Mofpa

SSRN

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SSRN 2024年

作者： Hongesombut, Komsan Keteruksa, Ruangyos Turschner, Dirk Hauer, Ines Department of Electrical Engineering Faculty of Engineering Kasetsart University 50 Ngamwongwan Rd. Ladyao Chatuchak Bangkok10900 Thailand Institute of Electrical Power Engineering and Energy Systems Clausthal University of Technology Clausthal-Zellerfeld Germany

Automated generation control (AGC) is interconnected across multiple areas and requires effective control. This paper presents a modified flower pollination algorithm (MoFPA) to find the five best parameters for a fractional-order proportional-integral-derivative (FOPID) controller. It is also used to determine the optimal parameters of the virtual inertia controller used to reduce oscillations in the microgrid system and provide robustness in all conditions. When combined with capacitive energy storage (CES), it compensates the system’s power output and keeps the power system frequency to a minimum for sustainable power system stability. Incidentally, the proposed method controls the power supply to meet the load requirements. The simulation results of the power system in terms of dynamic response in seven cases are as follows: the optimal FOPID-MoFPA controller for three interconnected areas;the dynamic response of a linked system to a large disturbance load;power simulation for a three-area interconnected power system with a CES unit influencing frequency stability;the participation of classical power plants in frequency control analysis;the effect of weight on the analysis of the natural dynamic inertia controller of BEES;and testing of rapidly increasing or decreasing load demands. Finally, a robustness test is performed for performance and stability under frequency deviations in multi-area interconnected. © 2024, The Authors. All rights reserved.

关键词： Controllers

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