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2019 IEEE PES Asia-Pacific Power and energy engineering Conference, APPEEC 2019

作者： Meichen, Pan Caixue, Chen Da, Zhang Xiangtan University College of Information Engineering Xiangtan China Hunan Province Engineering Research Center for Multi-Energy Collaborative Control Technology Xiangtan China

ISBN: (纸本)9781728108131

In order to improve the robustness and increase the fast response, a novel current controller with the integral sliding mode control and quasi-PR control is proposed for the quasi-Z source inverter (qZSI). Firstly, the state space equations of the qZSI are established. Secondly, the sliding surface of the proposed controller is built. In the same time, the stable, existence and arrival conditions of the sliding surface are derived. Thirdly, a compound control strategy has been analysis analyzed. Finally, a MATLAB model is built. The simulation results verify the proposed controller can achieve a faster dynamic response and realize stable compared to the traditional PI controller. © 2019 IEEE.

关键词： controllers

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Advanced converter collaborative control method based on smart contract 11

Advanced converter collaborative control method based on sma...

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11th IET International Conference on Advances in Power System control, Operation and Management, APSCOM 2018

作者： Xin, Kaihua Duan, Bin Yan, Yinxin Hunan Province Engineering Research Center for Multi-Energy Collaborative Control Technology Hunan Province Cooperative Innovation Center for Wind Power Equipment and Energy Conversion College of Information Engineering Xiangtan University Xiangtan Hunan411105 China

ISBN: (纸本)9781839530043

In this paper, a cooperative control method of advanced converter using smart contract is proposed in the Micro-grid with uncertain renewable energy output. The problem of power quality in Micro-grid is solved by using the active operation decision of the microgrid converter as the goal. First, the information interaction mechanism and model between the central Micro-grid converters is proposed in this paper. When the different strategies in the distribution network are switched, the real-time transaction requests can be initiated to other converters in the Micro-grid, and the disturbance of the power quality can be eliminated by the other converters in Micro-grid, and the dynamic balance of the power quality of the Micro-grid can be maintained. Then, a Vickrey-Clarke-Groves(VCG) auction method was introduced to encourage proprietor bidding of her neighbors, and the mechanism of distributed decision making and cooperative autonomous operation is realized by using smart contract. Among them, smart contract is signed between the various converters. On the one hand, the update of the state in the control cycle is realized, which makes the converter take more responsibilities and participate in the power quality control. To a certain extent, the effectiveness of the method is *** addition, rewards and penalties are given according to the achievement of the smart contract between the converters, which reduces the default rate of the owners. This degrading transaction process improves the security and completeness of the transaction. It provides more means to solve the power quality of the power grid and ensures the safe and reliable operation of the distribution network. © 2018 Institution of engineering and technology. All rights reserved.

关键词： Smart contract

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Bioconversion of coal to Biogas: Insights into the microbial degradation mechanisms and molecular structure transformations

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Chemical engineering Science 2025年 312卷

作者： Xia, Daping Lv, Hang Chen, Zhenhong Chen, Hao Su, Pengfei Institute of Energy Science & Engineering Henan Polytechnic University Jiaozuo454000 China Collaborative Innovation Center of Coal Work Safety and Clean High Efficiency Utilization Jiaozuo454000 China Henan Province Coal Mine Rock Strata Control International Joint Laboratory Jiaozuo454000 China Institute of Resources & Environment Henan Polytechnic University Jiaozuo454000 China National elite institute of engineering Beijing10000 China Research Institute of Petroleum Exploration & Development Langfang065000 China China University of Mining and Technology Jiangsu Xuzhou221116 China

This study explores the microbial degradation mechanisms and molecular structural transitions of coal during the bioconversion process. We built macromolecular structure models of coal samples at various stages of anaerobic fermentation by analyzing its elemental makeup, carbon framework, surface groups, and pore changes, and using molecular simulation. Experimental results indicate that: the pore size of the coal sample increased from 3.04 nm to 5.0 nm, accompanied by a slight increase in the interlayer spacing d002 of the aromatic layers, with a decrease in both the microcrystalline extension La and the stacking height Lc, suggesting the disruption of the coal sample's microcrystalline structure. During the biogas production process, the molecular structural transformations are primarily focused on the side chains, specifically characterized by a reduction in − CH2 − groups within the aliphatic chains, consumption of − OH groups, and the formation of − COOH groups. Notably, the cleavage of benzene rings occurs at the initial stage of biogas production, while the degradation of naphthalene rings takes place during the biogas production peak, indicating that the aromatic structures significantly influence the biogas production process in lignite. GC–MS analysis of the fermentation liquid revealed that benzene compounds are the main constituents, suggesting that the degradation of naphthalene rings occurs through an open-ring mechanism rather than a direct degradation pathway. During microbial fermentation, the model's total potential energy drops significantly, making it more stable. This change increases non-six-membered rings and lattice defects, affecting the coal's pore structure and reducing its surface fractal dimension. © 2025 Elsevier Ltd

关键词： Molecular docking

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Optimization of magnetic pole structure of high-speed permanent magnet synchronous motor weakens cogging torque 1

Optimization of magnetic pole structure of high-speed perman...

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1st IEEE China International Youth Conference on Electrical engineering, CIYCEE 2020

作者： Yi, Lingzhi Yin, Xinjian Xiangtan University Hunan Multi-Energy Collaborative Control Technology Engineering Research Center School of Information Engineering Xiangtan411105 China

ISBN: (纸本)9781728196596

In order to suppress the cogging torque of permanent magnet synchronous motors, a layered permanent magnet structure composed of different permanent magnet materials is proposed. The multiphysics coupling analysis of the electromagnetic field and the temperature field of the permanent magnet motor in ANSYS software was performed to obtain the temperature difference between the stator and the rotor due to air gap wind milling during the motor operation. Based on this, the temperature can be used near the stator layer of the permanent magnet. A low-coefficient magnetic material can effectively reduce the harmonic content of the air gap magnetic flux density of the motor, thereby reducing the cogging torque. Finally, a differential algorithm is used to optimize the thickness of the permanent magnet material on the outer surface to obtain the permanent magnet size parameters that make the motor better. Simulation results show that the layered permanent magnet structure can effectively reduce the cogging torque of the permanent magnet motor and effectively improve the sine of the back-EMF waveform after optimized design. © 2020 IEEE.

关键词： Permanent magnets

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Natural van der Waals canalization lens for non-destructive nanoelectronic circuit imaging and inspection

arXiv

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arXiv 2025年

作者： Ou, Qingdong Xue, Shuwen Ma, Weiliang Yang, Jiong Si, Guangyuan Liu, Lu Zhong, Gang Liu, Jingying Xie, Zongyuan Xiao, Ying Kalantar-Zadeh, Kourosh Qi, Xiang Li, Peining Dai, Zhigao Chen, Huanyang Bao, Qiaoliang Faculty of Innovation Engineering Macau University of Science and Technology Macao Taipa999078 China Department of Materials Science and Engineering Monash University ClaytonVIC3800 Australia Department of Physics Xiamen University Xiamen361005 China National Engineering Research Center of Electromagnetic Radiation Control Materials Key Laboratory of Multi-spectral Absorbing Materials and Structures Ministry of Education University of Electronic Science and Technology of China Chengdu610054 China School of Optoelectronic Science and Engineering Collaborative Innovation Center of Suzhou Nano Science and Technology Key Lab of Advanced Optical Manufacturing Technologies of Jiangsu Province Key Lab of Modern Optical Technologies Education Ministry of China Soochow University Suzhou215006 China Melbourne Centre for Nanofabrication Victorian Node of The Australian National Fabrication Facility ClaytonVIC3168 Australia Engineering Research Center of Nano-Geomaterials Ministry of Education Faculty of Materials Science and Chemistry China University of Geosciences Wuhan430074 China School of Chemical and Biomolecular Engineering The University of Sydney SydneyNSW Australia Hunan Key Laboratory for Micro-Nano Energy Materials and Devices School of Physics and Optoelectronic Xiangtan University Hunan411105 China Wuhan National Laboratory for Optoelectronics School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan430074 China Shenzhen Research Institute China University of Geosciences Shenzhen518063 China University of Shanghai for Science and Technology Shanghai200093 China Nanjing kLIGHT Laser Technology Co. Ltd. Jiangsu Nanjing210032 China

Optical inspection has long served as a cornerstone non-destructive method in semiconductor wafer manufacturing, particularly for surface and defect analysis. However, conventional techniques such as bright-field and dark-field scattering optics face significant limitations, including insufficient resolution and the inability to penetrate and detect buried structures. Atomic force microscopy (AFM), while offering higher resolution and precise surface characterization, is constrained by slow speed, limited to surface-level imaging, and incapable of resolving subsurface features. Here, we propose an approach that integrates the strengths of dark-field scattering optics and AFM by leveraging a van der Waals (vdW) canalization lens based on natural biaxial α-MoO3 crystals. This method enables ultrahigh-resolution subwavelength imaging with the ability to visualize both surface and buried structures, achieving a spatial resolution of 15 nm and grating pitch detection down to 100 nm. The underlying mechanism relies on the unique anisotropic properties of α-MoO3, where its atomic-scale unit cells and biaxial symmetry facilitate the diffraction-free propagation of both evanescent and propagating waves via a flat-band canalization regime. Unlike metamaterial-based superlenses and hyperlenses, which suffer from high plasmonic losses, fabrication imperfections, and uniaxial constraints, α-MoO3 provides robust and aberration-free imaging in multiple directions. We successfully applied this approach to achieve high-resolution inspection of buried nanoscale electronic circuits, offering unprecedented capabilities essential for next-generation semiconductor manufacturing. © 2025, CC BY-NC-ND.

关键词： Van der Waals forces

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multi-objective Optimal Scheduling of Stacker–reclaimers Using the RPC-NSGA II Algorithm

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Recent Patents on Mechanical engineering 2023年第3期16卷 222-234页

作者： Yi, Lingzhi Liu, Qiankun Wang, Yahui Zhang, Huiting Peng, Xinlong College of Automation and Electronic Engineering Xiangtan University & Hunan Engineering Research Center of Multi-energy Cooperative Control Technology Hunan Xiangtan411105 China College of Electrical and Information Engineering Hunan University Hunan Changsha410082 China

Background: The stacker-reclaimer is a device for transporting bulk materials in ironmaking raw material yards. An excellent scheduling plan can provide a good raw material supply basis for steel enterprises. It is of great significance to improve the efficiency of steel production, reduce unnecessary operating waste and management costs, and realize scientific management of steel production. Objective: This patent aims to optimize the total material transportation time and equipment utilization balance within a single operation plan of the stacker-reclaimer involved in the raw material yard. Methods: A multi-objective optimization model for the stacker reclaimer is established, and the Reverse learning and Population Competitive-NSGA II (RPC-NSGA II) algorithm is introduced for solving. This algorithm uses reverse learning and population competition mechanism to improve the convergence and diversity of the algorithm. Results: The proposed method was experimentally verified in a raw material yard with a 360m2 sintering machine and a bulk material port. The method converges well and obtains a Pareto front with a uniform distribution. Compared with the actual scheduling plan, the scheduling plan under the optimal compromise solution reduces the maximum completion time by 11.23 minutes and increases the equipment utilization balance rate by 11.70%. Conclusion: The proposed method can consider the material transportation time and equipment utilization balance, which is of great significance for the optimized use of the stacker reclaimer in steel enterprises and the quality assurance of raw material supply. © 2023 Bentham Science Publishers.

关键词： multiobjective optimization

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The Thrust Fluctuation Resistance Weakend of Single-Stage Convex Stepped Auxiliary Tooth Structure PMLSM 13

The Thrust Fluctuation Resistance Weakend of Single-Stage Co...

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13th International Symposium on Linear Drives for Industry Applications, LDIA 2021

作者： Lan, Zhiyong Bin, Xie Hua, Luo Xun College of Automation and Electronic Information Xiangtan University XiangTan China Multi-Energy Collaborative Control Technology Hunan Engineering Research Center XiangTan China

ISBN: (纸本)9781728172101

Resistance is one of the reasons that causes the thrust fluctuation of the permanent magnet synchronous linear motor, and it has a significant impact on the application of the motor in the field of precision driving. For this reason, this paper proposes a permanent magnet linear synchronous motor with a single-stage convex stepped auxiliary tooth structure to reduce the thrust fluctuation caused by the end effect. First, the end magnetic resistance of SSC-PMLSM is analyzed based on the lateral force method, and the auxiliary tooth width when the motor magnetic end force is minimized and derived. Then, auxiliary tooth combined with the dislocation method to further reduce the thrust fluctuation of the motor. Finally, taking 6-slot 7-pole PMLSM as an example and, using finite element simulation and experiments, the results prove that this method can effectively weaken the magnetic resistance fluctuation. © 2021 IEEE

关键词： Permanent magnets

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An Improved Hunger Games Search Algorithm-based multi-peak MPPT control for PV System under Partial Shading

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Recent Patents on Mechanical engineering 2023年第4期16卷 261-273页

作者： Yi, Lingzhi Ma, Hao Wang, Yahui Liu, Jiangyong Shi, Hao Cheng, Siyue College of Automation and Electronic Engineering Xiangtan University Hunan Xiangtan411105 China Hunan Engineering Research Center of Multi-energy Cooperative Control Technology Hunan Xiangtan411105 China College of Electrical and Information Engineering Hunan University Hunan Changsha410082 China

Background: In photovoltaic power generation systems, partial shading may cause the PV array to mismatch, thus leading to multi-peak output characteristics, which makes the conventional Maximum Power Point Tracking (MPPT) algorithm easily fall into local extremes and cause power loss. Objective: The study aimed to accurately and quickly track the maximum power point of PV arrays in partial shading through swarm intelligence algorithms. Methods: Based on the above, a MPPT control algorithm based on Chaos Adaptive Hunger Games Search with Dynamic Lévy Mutation Strategy (CAHGSL) is proposed in this paper. By introducing an improved logistics chaos map initialization population, a nonlinear adaptive convergence factor and a dynamic Lévy mutation strategy enhance their ability to jump out of local extremes during multi-peak MPPT and improve their tracking speed and efficiency. Results: Under the three working conditions, the tracking efficiency of the MPPT algorithm proposed in this paper has been achieved by more than 99.5% in an average time of 0.152s, which is higher tracking efficiency compared to the PO, PSO, and HGS algorithms. Conclusion: The results show that the MPPT algorithm proposed in this paper can balance the tracking speed and efficiency with less power oscillation during the tracking process, and can ensure stable output after convergence. The method proposed in this paper is helpful to improve the output power of PV arrays under partial shading. © 2023 Bentham Science Publishers.

关键词： Efficiency

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Short-term Power Load Forecasting Based on Orthogonal PCA-LPP Dimension Reduction and IGWO-BiLSTM

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Recent Patents on Mechanical engineering 2023年第1期16卷 72-86页

作者： Yi, Lingzhi Zhu, Jiang Wang, Yahui Liu, Jiangyong Wang, Shitong Liu, Bo College of Automation and Electronic Information Xiangtan University Hunan Xiangtan411105 China Hunan Engineering Research Center of Multi-energy Cooperative Control Technology Hunan Xiangtan411105 China College of Electrical and Information Engineering Hunan University Hunan Changsha410082 China

Background: Accurate power load forecasting is significant in ensuring power load plan-ning, reliability and economical operation. The traditional power load is easily affected by climate, en-vironment, data type and other factors, resulting in the problem of poor forecasting accuracy. Therefore, it is necessary to study power load forecasting. Objective: Through machine learning, dimension reduction method and intelligent optimization algorithm, the accuracy of load forecasting is improved Methods: In order to fully extract load information and improve the accuracy of short-term load forecasting for campus electricity, an improved combination of orthogonal dimensionality reduction and Bilstm is proposed to optimize the hyperparameters in BiLSTM using an improved gray wolf algorithm. Firstly, using the advantages of principal component analysis (PCA) and Locality Preserving Projection (LPP) to maintain the global and local structure of the data, respectively, the Orthogonal PCA-LPP (OPCA-LPP) dimensionality reduction method is proposed to reduce the dimensionality of the original multidimensional data. Finally, the dimensionality-reduced data is used as the input of BiLSTM and op-timized by the improved Gray Wolf algorithm, which can enhance the model's prediction capability and thus achieve accurate prediction of short-term electric load. Results: The Mae and RMSE of this paper are 1.6585 and 1.7602, respectively. The results show that the method proposed in this paper is reasonable Conclusion: This method is applied to power load forecasting. The comparative experimental results show that this method reduces the dimension of data input, simplifies the complexity of network input data, and improves load forecasting accuracy. Compared with other methods, it can improve load forecasting accuracy and provide a basis for formulating reasonable power grid operation modes and bal-anced power grid dispatching. © 2023 Bentham Science Publishers.

关键词： Principal component analysis

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GRU combined model based on multi-objective optimization for short-term residential load forecasting

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Journal of Intelligent and Fuzzy Systems 2024年第4期46卷 10423-10440页

作者： Yi, Lingzhi Peng, Xinlong Fan, Chaodong Wang, Yahui Li, Yunfan Liu, Jiangyong College of Automation and Electronic Engineering Xiangtan University Hunan Engineering Research Center of Multi-energy Cooperative Control Technology Hunan Xiangtan China School of Computer Science and Technology Hainan University Hainan China College of Electrical and Information Engineering Hunan University Changsha China

Reliable and accurate short-term forecasting of residential load plays an important role in DSM. However, the high uncertainty inherent in single-user loads makes them difficult to forecast accurately. Various traditional methods have been used to address the problem of residential load forecasting. A single load forecast model in the traditional method does not allow for comprehensive learning of data characteristics for residential loads, and utilizing RNNs faces the problem of long-term memory with vanishing or exploding gradients in backpropagation. Therefore, a gated GRU combined model based on multi-objective optimization is proposed to improve the short-term residential load forecasting accuracy in this paper. In order to demonstrate the effectiveness, GRUCC-MOP is first experimentally tested with the unimproved model to verify the model performance and forecasting effectiveness. Secondly the method is evaluated experimentally with other excellent forecasting methods: models such as DBN, LSTM, GRU, EMD-DBN and EMD-MODBN. By comparing simulation experiments, the proposed GRU combined model can get better results in terms of MAPE on January, April, July, and November load data, so this proposed method has better performance than other research methods in short-term residential load forecasting. © 2024 - IOS Press. All rights reserved.

关键词： multiobjective optimization

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