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Assessment Method of Offshore Wind Resource Based on Multi-dimenssiional Indexes System

CSEE Journal of power and Energy systems 2024年第1期10卷 76-87页

作者： Xiaomei Ma Yongqian Liu Jie Yan Shuang Han Li Li Hang Meng Muhammet Deveci Konstanze Kolle Umit Cali the State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(NCEPU) School of New EnergyNorth China Electric Power UniversityBeijing 102206China School of Physical and Electronic Information Engineering Qinghai Normal UniversityXiningQinghai 810016China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(NCEPU) School of New EnergyNorth China Electric Power UniversityBeijing 102206China the Royal School of Mines Imperial College London.London SW72AZUKand also with Department of Industrial EngineeringTurkish Naval AcademyNational Defence University34940IstanbulTurkey Department of Energy Systems SINTEF Energy ResearchTrondheimNO-7034 Norway Department of Electric Power Engineering Norwegian University of Science and TechnologyTrondheimNO-7491 Norway

Traditional assessment indexes could not fully describe offshore wind resources,for the meteorological properties of offshore are more complex than *** a result,the uncertainty of offshore wind power projects would be increased and final economic benefits would be ***,a study on offshore wind resource assessment is carried out,including three processes of“studying data sources,conducting multidimensional indexes system and proposing an offshore wind resource assessment method based on analytic hierarchy process(AHP).First,measured wind data and two kinds of reanalysis data are used to analyze the characteristics and reliability of data ***,indexes such as effective wind speed occurrence,affluent level occurrence,coefficient of variation,neutral state occurrence have been proposed to depict availability,richness,and stability of offshore wind resources,*** with existing parameters(wind power density,dominant wind direction occurrence,water depth,distance to coast),a multidimensional indexes system has been built and on this basis,an offshore wind energy potential assessment method has been ***,the proposed method is verified by the annual energy production of five offshore wind turbines and practical operating data of four offshore wind farms in *** study also compares the ranking results of the AHP model to two multi-criteria decision making(MCDM)models including weighted aggregated sum product assessment(WASPAS)and multi-attribute ideal real comparative analysis(MAIRCA).Results show the proposed method gains well in practical engineering applications,where the economic score values have been considered based on the offshore reasonable utilization hours of the whole life cycle in China.

关键词： Annual energyproduction aatmospheric stability data sources offshore wind resource wind power density

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Organic cation-supported layered vanadate cathode for high-performance aqueous zinc-ion batteries

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Carbon Energy 2025年第2期7卷 1-12页

作者： Changding Wang Yingfang Li Sida Zhang Tian-Yi Sang|Yu Lei Ruiqi Liu Fu Wan Yuejiao Chen Weigen Chen Yujie Zheng Shuhui Sun State Key Laboratory of Power Transmission Equipment Technology School of Electrical EngineeringNational Innovation Center for Industry-Education Integration of Energy Storage TechnologyChongqing UniversityChongqingChina Institute National de la Recherche Scientifique(INRS) CentreÉnergie Matériaux TélécommunicationsVarennesQuébecCanada MOE Key Laboratory of Low-grade Energy Utilization Technologies and Systems CQU-NUS Renewable Energy Materials&Devices Joint Laboratory School of Energy&Power EngineeringChongqing UniversityChongqingChina

Layered vanadates are ideal energy storage materials due to their multielectron redox reactions and excellent cation storage ***,their practical application still faces challenges,such as slow reaction kinetics and poor structural *** this study,we synthesized[Me_(2)NH_(2)]V_(3)O_(7)(MNVO),a layered vanadate with expended layer spacing and enhanced pH resistance,using a one-step simple hydrothermal gram-scale *** analyses and density functional theory(DFT)calculations revealed supportive ionic and hydrogen bonding interactions between the thin-layered[Me_(2)NH_(2)]+cation and[V_(3)O_(7)]-anion layers,clarifying the energy storage mechanism of the H^(+)/Zn^(2+)*** synergistic effect of these bonds and oxygen vacancies increased the electronic conductivity and significantly reduced the diffusion energy barrier of the insertion ions,thereby improving the rate capability of the *** an acidic electrolyte,aqueous zinc-ion batteries employing MNVO as the cathode exhibited a high specific capacity of 433 mAh g^(-1)at 0.1 A g^(-1).The prepared electrodes exhibited a maximum specific capacity of 237 mAh g^(-1)at 5 A g^(-1)and maintained a capacity retention of 83.5%after 10,000 *** work introduces a novel approach for advancing layered cathodes,paving the way for their practical application in energy storage devices.

关键词： [V_(3)O_(7)]-layers layered vanadates organic cations pH resistance zinc-ion batteries

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Control of a Wind Turbine Emulator Based on Variable Pitch Angle with a Self-Excited Induction Generator 4

Control of a Wind Turbine Emulator Based on Variable Pitch A...

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4th International Conference on Innovative Research in Applied Science, engineering and Technology, IRASET 2024

作者： Boutahiri, Chaymaâ Nouaiti, Ayoub Mesbahi, Abdelouahed Hsaini, Abdallah Marhraoui Bouazi, Aziz Moulay Ismail University Ievia Team Est Laboratory Of Computer Science Applied Math And Electrical Engineering Meknès Morocco Systems Hassan Ii University Ensem Laboratory Of Energy & Electrical Casablanca Morocco

ISBN: (纸本)9798350309508

This article highlights the control of an electromechanical wind emulator designed to mimic the behavior of a wind turbine. The emulator employs a self-excited induction generator, which is driven by a DC motor. A DC-DC Buck converter adjusts the rotation speed, adapting to changes in the wind profile. A PI controller is employed to oversee and fine-tune the output current from the converter, ensuring alignment with the characteristics of the wind turbine model in use. The control strategy is crafted to oversee the wind turbine power based on the wind speed. This is achieved by adjusting the pitch angle value and tip speed, aiming to prevent wind turbine from stalling. The efficacy of the implemented control strategy is demonstrated in the Matlab-Simulink environment, where the proposed system is evaluated. The results show accurate tracking and no overshoot. © 2024 IEEE.

关键词： DC motors

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Sensorless Control with Back EMF Integration Method for E-bike

Sensorless Control with Back EMF Integration Method for E-bi...

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2022 International Conference of Advanced Technology in Electronic and electrical engineering, ICATEEE 2022

作者： Tadrist, Nadia Zeroug, Hocine Electrical Engineering Faculty Characterization and Diagnostic of Electrical High Power Systems Laboratory Algiers Algeria

ISBN: (纸本)9798350346749

With ever-increasing concerns on our environment, there is a fast growing interest in electric bike with a motor mounted either at the front and at the rear wheel. In addition, there it is a pressing need for researchers to develop advanced electric-drive systems. This paper investigates potential performances and describes the running mode of an e-bike for transportation which uses a Brushless DC motor with an outer rotor mounted at the front wheel with a nominal torque of 10Nm and 250W with planetary gear. The controller uses an outer speed and inner current control loop using sensorless technique back-EMF based. It is shown that the e-bike is able to start and run at convenient speed estimated with average minimum speed of 2Km/h and high speed up to 25 Km/h with a battery autonomy lasting up to 2h under semi flat and hilly distance less than 7%. We show that this speed control from low and high speed can be well tuned and adapted to various paths that fits the cyclist own comfort and desired acceleration. Also, the findings show also that the battery autonomy can be doubled if there is intermittent cycling periods. © 2022 IEEE.

关键词： Bicycles

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Network-Aware and Welfare-Maximizing Dynamic Pricing for Energy Sharing 63

Network-Aware and Welfare-Maximizing Dynamic Pricing for Ene...

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63rd IEEE Conference on Decision and Control, CDC 2024

作者： Alahmed, Ahmed S. Cavraro, Guido Bernstein, Andrey Tong, Lang Cornell University School of Electrical and Computer Engineering IthacaNY United States National Renewable Energy Laboratory Power System Engineering Center GoldenCO United States

ISBN: (纸本)9798350316339

The proliferation of behind-the-meter (BTM) distributed energy resources (DER) within the electrical distribution network presents significant supply and demand flexibilities, but also introduces operational challenges such as voltage spikes and reverse power flows. In response, this paper proposes a network-aware dynamic pricing framework tailored for energy-sharing coalitions that aggregate small, but ubiquitous, BTM DER downstream of a distribution system operator's (DSO) revenue meter that adopts a generic net energy metering (NEM) tariff. By formulating a Stackelberg game between the energy-sharing market leader and its prosumers, we show that the dynamic pricing policy induces the prosumers toward a network-safe operation and decentrally maximizes the energysharing social welfare. The dynamic pricing mechanism involves a combination of a locational ex-ante dynamic price and an ex-post allocation, both of which are functions of the energy sharing's BTM DER. The ex-post allocation is proportionate to the price differential between the DSO NEM price and the energy-sharing locational price. Simulation results using real DER data and the IEEE 13-bus test systems illustrate the dynamic nature of network-aware pricing at each bus, and its impact on voltage. © 2024 IEEE.

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Bi-level Optimal Planning of Voltage Regulator in Distribution systems Considering Maximization of Incentive-based Photovoltaic Energy Integration

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CSEE Journal of power and Energy systems 2023年第6期9卷 2008-2017页

作者： Xu Xu Youwei Jia Chun Sing Lai Minghao Wang Zhao Xu Department of Electrical and Electronic Engineering Southern University of Science and TechnologyShenzhenChina Department of Electrical Engineering The Hong Kong Polytechnic UniversityHung HomHong Kong SARChina Department of Electrical and Electronic Engineering University Key Laboratory of Advanced Wireless Communications of Guangdong ProvinceSouthern University of Science and TechnologyShenzhen 515100China Department of Electronic and Computer Engineering Brunel Institute of Power SystemsBrunel University LondonLondonUB83PH United Kingdom Department of Electrical Engineering Shenzhen Research InstituteThe Hong Kong Polytechnic UniversityHung HomHong Kong SARChina

This paper focuses on optimal voltage regulator(VR)planning to maximize the photovoltaic(PV)energy integration in distribution *** describe the amount of dynamic PV energy that can be integrated into the power system,the concept of PV accommodation capability(PVAC)is introduced and modeled with *** proposed planning model is formulated as a Benders decomposition based bi-level stochastic optimization *** the upper-level problem,VR planning decisions and PVAC are determined via mixed integer linear programming(MILP)before considering *** in the lower-level problem,the feasibility of first-level results is checked by critical network constraints(*** magnitude constraints and line capacity constraints)under uncertainties considered by time-varying loads and PV *** this paper,these uncertainties are represented in the form of operational scenarios,which are generated by the Gaussian copula theory and reduced by a well-studied backward-reduction *** modified IEEE 33-node distribution grid is utilized to verify the effectiveness of the proposed *** results demonstrate that a PV energy integration can be significantly enhanced after optimal voltage regulator planning.

关键词： Bi-level stochastic optimization problem critical network constraints photovoltaic energy integration uncertainties voltage regulator planning

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Neural Network Trained Cold-plate Models for Modular Converter Exploration

Neural Network Trained Cold-plate Models for Modular Convert...

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2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024

作者： Shabani, Hamed Cuzner, Robert M. Ordonez, Juan Marques, Crístofer Hood University of Wisconsin - Milwaukee Center for Sustainable Electrical Energy Systems Department of Electrical and Computer Engineering MilwaukeeWI United States FAMU-FSU College of Engineering Florida State University Center for Advanced Power Systems Department of Mechanical Engineering TallahasseeFL United States RS Rio Grande Brazil FAMU-FSU College of Engineering Center for Advanced Power Systems TallahasseeFL United States

ISBN: (纸本)9798350376067

Designing power electronics for medium voltage (MV) and applications, such as the Modular Multilevel Converter (MMC) MVac-MVdc converter for Multi-Terminal (MT) MVdc systems, requires a multidisciplinary approach to optimize a highly intricate system. One of the main challenges in this field is exploring various MMC implementations and evaluating them through appropriate metrics to determine the most effective approach. To address this challenge, this paper introduces a Virtual Prototyping Process (VPP) for power Electronic Building Block (PEBB) based systems that leverages neural network-trained coldplate surrogate models. These coldplate surrogate model is useful in managing the complexity of a single thermal interface point connected to multiple coldplate-cooled elements within an MMC Sub-Module Drawer (SMD) to a system-level thermal management system. This approach enables the correlation of the intrinsic power capability of point of source to point of load power Trains as a function of coolant approach and thermal management system capability to facilitate solutuion space exploration. This exploration is conducted in an evolutionary environment (within the VPP) that balances competing objectives like power density, efficiency, specific power and specific cost. The shipboard Integrated power and Energy System (IPES) application is used as a use-case example. © 2024 IEEE.

关键词： Benchmarking

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Continuous Health State Monitoring of High-Voltage Circuit Breakers

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IEEE Access 2025年 13卷 89819-89830页

作者： Hsu, Chi-Ching Frusque, Gaetan Fink, Olga Franck, Christian M. Institute for Power Systems and High Voltage Technology High-Voltage Laboratory Department of Information Technology and Electrical Engineering ETH Zürich Zurich8092 Switzerland Intelligent Maintenance and Operations Systems Ècole Polytechnique Fédérale de Lausanne Lausanne1015 Switzerland

Circuit breakers (CBs) are renowned for their high reliability and long lifespan. As a result, many CBs installed decades ago are now approaching their predefined end of service life. However, this predefined service life does not always reflect the actual condition, as some may still be far from reaching their true end-of-life, depending on their operating conditions and history. To assess their true lifetime, continuous condition monitoring is essential. While previous studies have effectively demonstrated the ability to distinguish between different CB fault types, the evolution of CB degradation remains unclear when faults are artificially introduced. This paper investigates the health condition of two high-voltage CBs continuously through run-to-failure experiments. A comprehensive dataset was collected for all opening and closing operations with various sensors such as vibration, coil current, and travel curve and has been made publicly available for further analysis. Furthermore, features were derived from the sensor data, revealing distinct degradation trajectories over time that can be used to monitor the condition of the CBs. This paper highlights the degradation patterns of these features, some of which are well-suited for continuous condition monitoring due to their gradual changing trend over time that likely correlates with the true degradation condition, while others are less useful as they show abrupt changes only before or at failure. By leveraging these features, we can progress beyond the focus of previous research using only fault diagnosis towards fault prognosis. This shift opens the possibility for accurate prediction of the CB condition over time, enabling more effective maintenance strategies. © 2013 IEEE.

关键词： Repair

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Analysis of the Vehicle-Grid System Stability Considering Electromagnetic Transient Characteristics of High-Speed Railway Vehicles 27

Analysis of the Vehicle-Grid System Stability Considering El...

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27th International Conference on electrical Machines and systems, ICEMS 2024

作者： Tian, Wenjing Liu, Chenghao Zhu, Sixian Ma, Jien Qiu, Lin Lin, Zhenzhi Fang, Youtong College of Electrical Engineering Zhejiang University Hangzhou310027 China Zhejiang University State Key Laboratory of Fluid Power and Mechatronic Systems Hangzhou310027 China

ISBN: (纸本)9784886864406

The load of the electrified railway exhibits nonlinear, asymmetric, and randomly fluctuating characteristics. Electromagnetic transient processes occurring within the vehicle or at the interface with the overhead contact system can significantly affect the stability of the traction power grid system. This paper establishes a vehicle-grid system model by considering the structural characteristics of the vehicle load, based on an analysis of a typical high-speed railway vehicle's electrical topology. Additionally, it performs stability simulation analyses of the vehicle-grid system under various transient conditions. The study delves into the impact of traction load on the power system, providing insights for ensuring power system stability and formulating equipment parameters for traction power supply systems. © 2024 The Institute of electrical Engineers of Japan.

关键词： Vehicle-to-grid

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A 4.5 μW Miniaturized 3-Channel Wireless Intra-Cardiac Acquisition System

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IEEE Transactions on Biomedical Circuits and systems 2023年第5期17卷 1097-1110页

作者： Rezaeiyan, Yasser Koolivand, Yarallah Zamani, Milad Shoaei, Omid Akbari, Meysam Moradi, Farshad Tang, Kea-Tiong Integrated Circuits and Electronics Laboratory Department of Engineering Aarhus University Aarhus8200 Denmark Electrical Engineering KN Toosi University of Technology Tehran15418-49611 Iran Bio-Integrated Systems Lab School of Electrical and Computer Engineering University of Tehran Tehran*** Iran Department of Electrical Engineering University of Kurdistan Sanandaj*** Iran Department of Electrical Engineering National TsingHua University Hsinchu30013 Taiwan

This article presents a chip designed for wireless intra-cardiac monitoring systems. The design consists of a three-channel analog front-end, a pulse-width modulator featuring output-frequency offset and temperature calibration, and inductive data telemetry. By employing a resistance boosting technique in the instrumentation amplifier feedback, the pseudo-resistor exhibits lower non-linearity, leading to a total harmonic distortion of below 0.1%. Furthermore, the boosting technique enhances the feedback resistance, leading to a reduction in the size of the feedback capacitor and, consequently, the overall size. To make the modulator's output frequency resilient to temperature and process changes, coarse and fine-tuning algorithms are used. The front-end channel is capable of extracting the intra-cardiac signal with an effective number of bits of 8.9, while exhibiting an input-referred noise of less than 2.7 μ Vrms, and consuming 200 nW per channel. The front-end output is encoded by an ASK-PWM modulator, which drives an on-chip transmitter at 13.56 MHz. The proposed System-on-Chip (SoC) is fabricated in a 0.18 μ m standard CMOS technology and consumes 4.5 μW while occupying 1.125 mm2. © 2023 IEEE.

关键词： Transmitters

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