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2024 Photonics and Electromagnetics Research Symposium, PIERS 2024

作者： Chen, Hanchuan Liu, Yichao Sun, Fei Taiyuan University of Technology Key Lab of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi Province College of Electronic Information and Optical Engineering Taiyuan030024 China

ISBN: (纸本)9798350375909

In previous study, many single-function static/quasi-static magnetic devices, such as cloak and concentrator, have been designed base on transformation optics. However, few have explored devices capable of simultaneously generating two different functions on the static/quasi-static magnetic field. In this study, we propose a dual-function quasi-static magnetic device, which can create a concealed region and concentrated region for quasi-static magnetic field simultaneously. The dual-function quasi-static magnetic device is designed via twice extreme spatial stretching transformation and magnetic null medium, which can be realized by using arrays of superconductors and ferromagnetic materials in specific arrangement. The simulated results verify the performance of the proposed dual-function quasi-static magnetic device, which can simultaneously achieve cloaking and concentrating effect for the magnetic field from DC to 1000 Hz. The quasi-static magnetic field can be enhanced 9 times than the background magnetic field when the side lengths of the internal square pillar and external square pillar of the proposed structure are selected as a = 10 mm and b = 90 mm, respectively. Moreover, the concentrating ratio obtained from theoretical calculation fits well with the results obtained through numerical simulation. The dual-function quasi-static magnetic device designed in this study may have essential application in medical testing for special occasions. © 2024 IEEE.

关键词： Wigglers

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Boosting external quantum efficiency of a WSe_(2) photodetector across visible and NIR spectra through harnessing plasmonic hot electrons

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Photonics Research 2024年第9期12卷 1846-1857页

作者： LINLIN SHI ZIYANG ZHAO JINYANG JIAO TING JI WENYAN WANG YANXIA CUI GUOHUI LI College of Electronic Information and Optical Engineering Key Laboratory of Interface Science and Engineering in Advanced Materials of Ministry of EducationKey Laboratory of Advanced Transducers and Intelligent Control System of Ministry of EducationTaiyuan University of TechnologyTaiyuan 030024China Shanxi-Zheda Institute of Advanced Materials and Chemical Engineering Taiyuan 030032China

The layered two-dimensional material tungsten diselenide(WSe_(2))has triggered tremendous interests in the field of optoelectronic devices due to its exceptional carrier transport ***,the limited absorption of WSe_(2) in the near infrared(NIR)band poses a challenge for the application of WSe_(2) photodetectors in night vision,telecommunication,***,the enhanced performance of the WSe_(2) photodetector is demonstrated through the incorporation of titanium nitride nanoparticles(TiN NPs),complemented by an atomically-thick Al_(2)O_(3) layer that aids in suppressing the dark *** is demonstrated that TiN NPs can dramatically enhance the absorption of light in the proposed WSe_(2) photodetector in the NIR *** enhancement boosts photocurrent responses through the generation of plasmonic hot electrons,leading to external quantum efficiency(EQE)enhancement factors of 379.66%at 850 nm and 178.47%at 1550 *** work presents,for the first time,to our knowledge,that the WSe_(2) photodetector is capable of detecting broadband light spanning from ultraviolet to the telecommunication range,all achieved without the reliance on additional semiconductor *** achievement opens avenues for the advancement of cost-effective NIR photodetectors.

关键词： quantum titanium exceptional

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Review on Development of Automatic Docking system for Weapons and Cabins

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Recent Patents on Engineering 2024年第2期18卷 63-87页

作者： Tang, Dedong Cheng, Chao Quan, Qiquan Deng, Zongquan Liu, Hao Key Laboratory of Advanced Manufacturing and Intelligent Technology Ministry of Education Harbin University of Science and Technology Harbin150080 China State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150001 China

Background: In the manufacturing setup process of weapons, aviation, and aerospace, docking assembly is a key component in determining manufacturing efficiency and quality. The traditional docking method uses manual alignment, which depends on the experience and operation level of the workers, so the docking accuracy is low and the installation speed is slow. In response to this problem, how to achieve automatic docking of weapons and cabins has become a key technology. Objective: The objective of this study is to provide an overview of recent key technologies for automatic docking systems and introduce their respective classification, characteristics, and development. Methods: This paper reviews the patents and products related to the key technologies of automatic docking systems. The structural features, methodological principles, control characteristics and applications of the patents and products are summarized. Results: The key technologies related to different aspects of an automatic docking system are compared and analyzed, and the structural features, and methodological principles are also summarized. The problems of the current key technologies are analyzed, and the current status of research and future directions of the automatic docking system are discussed. Conclusion: According to the key technologies related to different aspects of the automatic docking system, they can be divided into motion mechanism, pose detection technology, and computer control technology. The accuracy, compliance, and flexibility of the automatic docking system can be improved by choosing the proper key technology. Further improvements are needed in terms of fast performance, robustness and authenticity, and more patents on key technologies of automatic docking systems should be invented. © 2024 Bentham Science Publishers.

关键词： Patents and inventions

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Voltage and Frequency control Coordination Strategy of Wind-PV-ESS system for Black-Start 7

Voltage and Frequency Control Coordination Strategy of Wind-...

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7th International Conference on Power and Energy Applications, ICPEA 2024

作者： Lei, Haoda Cao, Kuan Sun, Runjia Liu, Yutian Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China

ISBN: (纸本)9798350356113

In blackout scenarios of new power systems, wind farms (WF) and photovoltaic power stations (PVS) configured with scaled energy storage system (ESS) can be used as sources to support the black-start of thermal power units. Aiming at the disturbance of system voltage and frequency during black-start, a voltage and frequency control coordination strategy of Wind-PV-ESS system for black-start is proposed. The voltage control strategy includes normal control mode and correction control mode. When the bus voltage keeps within the limit, the former coordinately distributes the reactive power of each WT and PVA to maximize the dynamic reactive power reserve. After the bus voltage is disturbed beyond the limit, the latter makes full use of the fast dynamic reactive power response characteristics of SVG and ESS to provide voltage support. In the frequency control strategy. the reference power generated by the PI controller is allocated according to the proportion of the reserve power of each wind turbine (WT) or photovoltaic array (PVA) to the total reserve to eliminate the frequency deviation. Simulation results show the effectiveness of the proposed strategy. © 2024 IEEE.

关键词： Wind turbines

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Frequency Domain Stability Analysis and Simulation of New Energy Power Generation systems 9

Frequency Domain Stability Analysis and Simulation of New En...

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9th Asia Conference on Power and Electrical Engineering, ACPEE 2024

作者： Wang, Haobo Wang, Hongtao Xin, Peiqi Song, Zhen Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9798350309638

Stability analysis of grid-connected inverters is advanced through impedance analysis in this study, which leads to the development of a comprehensive mathematical model and simulation. control parameters, notably the voltage inner-loop control parameter Kv, the proportional gain Kp of the phase-locked loop (PLL), and the integral gain K1, were meticulously adjusted to assess their effects on subsynchronous oscillations. It was determined that while the proportional gain p and integral gain K1 have a marginal impact on sub-synchronous oscillations, the voltage inner-loop control parameter K1 significantly influences these oscillations. The insights gained from this analysis contribute to a deeper understanding of, and potential solutions for, synchronous oscillation issues. The ability to mitigate such oscillations facilitates the integration of a higher proportion of renewable energy sources, thereby enhancing the stability and reliability of the electrical power system. This enhancement is of critical importance in the pursuit of sustainable energy transitions and the advancement of clean energy sources. © 2024 IEEE.

关键词： Phase locked loops

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Short-Term Wind Power Forecasting Based on VMD-QPSO-LSTM 4

Short-Term Wind Power Forecasting Based on VMD-QPSO-LSTM

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4th IEEE International Conference on Power, Electronics and Computer Applications, ICPECA 2024

作者： Xin, Peiqi Wang, Hongtao Wang, Haobo Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9798350359589

The unpredictable and highly variable nature of wind power generation demands advanced predictive models to enhance the operational stability of power systems under non-stationary wind conditions. This study presents an innovative approach for short-term wind power prediction, ingeniously integrating Variational Mode Decomposition (VMD), Quantum Particle Swarm Optimization (QPSO), and Long Short-Term Memory (LSTM) network into a cohesive forecasting methodology. Initially, VMD is applied to deconstruct wind power data into distinct sub-modes, thus reducing data complexity and facilitating more accurate analysis. The LSTM model is then fine-tuned using QPSO to refine its hyperparameters, thereby optimizing forecast performance. Each sub-mode is forecasted through a specialized LSTM model, and the collective forecasts are compounded to form the final prediction. Comparative analyses with conventional LSTM, PSO-enhanced LSTM, and QPSO-LSTM models reveal that our proposed VMD-QPSO-LSTM approach yields significantly higher accuracy in forecasting, highlighting its potential to efficiently navigate the uncertainties associated with wind power generation. © 2024 IEEE.

关键词： deep learning long short-term memory network variational mode decomposition wind power forecasting

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Combined Rotor-Side and Grid-Side Suppression of Sub-Synchronous Oscillation in Doubly-Fed Wind Turbines 7

Combined Rotor-Side and Grid-Side Suppression of Sub-Synchro...

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2024 7th International Conference on Mechanical, Electrical and Material Application, MEMA 2024

作者： Wang, Haobo Wang, Hongtao Xin, Peiqi Xu, Changmeng Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

In the field of wind power generation, the significant geographical separation between wind farms and load centers often necessitated the long-distance and large-scale transmission of wind energy, which was typically achieved through transmission lines equipped with series compensation capacitors. However, this setup led to interactions between the series compensation capacitors and the control systems of doubly-fed induction generators (DFIGs), potentially causing sub-synchronous oscillations in grid-connected systems. To address this issue, our study focused on a DFIG-based wind farm interconnected via a series-compensated line. We proposed an innovative suppression strategy that incorporated additional virtual damping on the grid side. This strategy was effectively combined with an ancillary approach of adding virtual inductance on the rotor side, offering a robust solution to mitigate sub-synchronous oscillations. The simulation results showed that the joint application of these two strategies was more effective than implementing them individually. Notably, the strategy involving additional virtual damping on the grid side outperformed the approach of adding virtual inductance on the rotor side. © Published under licence by IOP Publishing Ltd.

关键词： Inductance

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Transient Stability Analysis and Enhancement of Virtual Synchronous Generator with Current Limiter 7

Transient Stability Analysis and Enhancement of Virtual Sync...

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7th IEEE International Electrical and Energy Conference, CIEEC 2024

作者： Wang, Yantuan Ye, Hua Yang, Jialun Chu, Xiaodong Mou, Qianying Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

ISBN: (纸本)9798350359558

The modern power system exhibits a double high characteristic, where the physical structure and control strategies of power electronic devices have altered the stability characteristics of the modern power system. This paper investigates the transient instability issue faced by virtual synchronous generators (VSG) equipped with a current limiter during grid faults. Firstly, the transient stability model of the VSG is established. Then, the equal-area criterion (EAC) is employed to reveal the mechanism of transient instability in VSG and elucidate the influence of the current limiter on the transient stability of VSG. Based on this analysis, current angle configuration methods are further proposed to enhance the transient stability of VSG. Finally, the correctness of the mechanism analysis and proposed methods is validated through simulation. © 2024 IEEE.

关键词： Synchronous generators

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Microgrid energy management strategy based on LSTM-DDQN 3

Microgrid energy management strategy based on LSTM-DDQN

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2024 3rd International Conference on Electrical, control and Information Technology, ECITech 2024

作者： Xin, Peiqi Wang, Hongtao Wang, Haobo Xu, Changmeng Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

This paper introduces a novel algorithm, LSTM-DDQN, designed to address the stochastic economic dispatch problem in microgrids. The inherent variability and randomness of photovoltaic (PV) energy pose challenges for accurate output prediction. Traditional approaches, including physical and statistical methods, often fall short in terms of accuracy. For microgrids with a high proportion of PV generation, we propose a new algorithm that combines Long Short-Term Memory (LSTM) neural networks with the Double Deep Q-Network (DDQN) algorithm. The algorithm leverages the LSTM model to capture the uncertainty of the learning environment and optimizes the Q-value iteration rules in the DDQN algorithm, thereby enhancing the training speed of the neural network. Experimental results demonstrate the algorithm's remarkable dispatch capabilities in managing the interplay between PV generation, battery capacity, and overall load demand. This algorithm provides robust support for the stable operation of microgrids. © 2024 Published under licence by IOP Publishing Ltd.

关键词： Long short-term memory

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Research on Microgrid Energy Storage Scheduling Strategy Incorporating Electric Vehicles Based on the DQN Algorithm 9

Research on Microgrid Energy Storage Scheduling Strategy Inc...

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9th Asia Conference on Power and Electrical Engineering, ACPEE 2024

作者： Xin, Peiqi Wang, Hongtao Wang, Haobo Song, Zhen Intelligent Dispatch and Control of Ministry of Education Shandong University Key Laboratory of Power System Jinan China

ISBN: (纸本)9798350309638

This study focuses on the scheduling of a microgrid integrated with electric vehicles, employing a reinforcement learning algorithm to devise an optimal economic operation strategy. The approach addresses the challenges of renewable energy generation's randomness and the economic and safety concerns arising from the extensive integration of electric vehicles into the microgrid. The paper explores the reinforcement learning-based energy management of storage devices within the microgrid. A Deep Q-Network (DQN) method is utilized to formulate the microgrid storage scheduling problem as a Markov Decision Process (MDP). The study involves a detailed simulation of a residential user microgrid, considering various parameters such as battery storage capacity, charging and discharging rates, and electric vehicle load models. The reinforcement learning algorithm demonstrates the capability of real-time response to power changes in the microgrid, ensuring operational cost minimization even under multiple input uncertainties. © 2024 IEEE.

关键词： Markov processes

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