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19th Chinese Intelligent Systems Conference, CISC 2023

作者： Wang, Da-Hu Han, Guo-Chen Fan, Zhen-Zhen Gong, Zhi-Peng School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo454000 China

ISBN: (纸本)9789819968855

It is an important way to help students understand and master the knowledge of substation equipment, so we propose a virtual reality-based simulation system for substation practice. To address the existing problems of poor model reusability and low frame rate of system operation in the development of virtual reality substation, this paper adopts the Levels of Detail (LOD) model to build the geometric model of substation equipment, establishes a typical object interaction model through geometric transformation in three-dimensional space, and optimizes the model in terms of real-time and realism, realizing the substation The system achieves the functions of scene roaming, equipment display, and equipment disassembly in 3D scenes. The results show that the average frame rate of the system increased from 40 fps before optimization to 72 fps, the latency decreased from 34 to 13 ms, and the developed 3D virtual substation practice system can effectively provide sufficient immersion and realism with good interactivity. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Electric substations

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Multi-threshold Adaptive Clustering Group Equalization Control of Energy Storage Battery Pack 3

Multi-threshold Adaptive Clustering Group Equalization Contr...

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3rd International Symposium on electrical, Electronics and Information engineering, ISEEIE 2023

作者： Zhao, Liangjun Chen, Gang Wu, Qi Guo, Xiangwei School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo454000 China

Aiming at the unavoidable consistency difference among cells in an energy storage battery pack, a multi-threshold adaptive clustering group equalization control method is proposed. First, a single-inductor energy storage equalization topology with simple structure, simple control and perfect balancing function is introduced. Second, while introducing the idea of cluster equalization, a group equalization control method is established based on adjacent cells with small consistency difference, so as to realize the transfer of equalization energy between battery groups containing different numbers of adjacent cells. Final, through simulation experiments, it is verified that the proposed cluster group equalization control can significantly improve the equalization speed while ensuring the equalization efficiency compared with the "one-to-one"equalization control based on the extreme difference or average. © The Institution of engineering & Technology 2023.

关键词： Battery Pack

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Research on power distribution control of parallel microgrid based on adaptive capacitor algorithm

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International Journal of Wireless and Mobile Computing 2023年第1期24卷 17-26页

作者： Tong, Zhanying Xu, Liutong School of Electrical Engineering and Automation Henan Institute of Technology Henan Province Xinxiang City China School of Mechanical and Electrical Engineering Henan Institute of Science and Technology Henan Province Xinxiang City China

In order to improve the stability and flexibility of microgrid operation, a droop control strategy for parallel microgrid power distribution based on adaptive virtual capacitor algorithm is proposed. The adaptive virtual capacitor is connected in parallel at the output of microgrid inverter to achieve accurate reactive power sharing of microgrid. The experimental results show that the average power sharing error of distributed generation under the control of adaptive virtual capacitor algorithm is 1.05%, which can effectively realise the accurate power distribution of microgrid and effectively avoid the problem of voltage drop. Add additional load to the system, and the distributed generation tends to be stable within 0.1s after a short transient process. The adaptive virtual capacitor algorithm has good adaptability to load changes, can effectively realise the accurate power distribution of parallel micro grid, and provides a new research idea for the operation optimisation of smart grid. Copyright © 2023 Inderscience Enterprises Ltd.

关键词： Reactive power

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An investigation of CO generation path upon loading coal from perspective of macromolecular simulation

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Environmental Science and Pollution Research 2024年第44期31卷 56008-56023页

作者： Jin, Zhengjiao Zhang, Jian Wang, Jing Si, Guangyao Shi, Xianlei Li, Yao Cai, Maolin College of Safety Science and Engineering Henan Polytechnic University Jiaozuo454003 China Key Laboratory of Gas Geology and Gas Control Henan Polytechnic University Jiaozuo454003 China State Collaborative Innovation Center of Coal Work Safety and Clean-Efficiency Utilization Henan Polytechnic University Jiaozuo454003 China School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo454003 China School of Minerals and Energy Resources Engineering University of New South Wales SydneyNSW2052 Australia College of Chemistry and Chemical Engineering Henan Polytechnic University Jiaozuo454003 China

CO is a hazardous and pollutant gas that can be produced in many scenarios of coal-related operations. The study mainly investigated CO production process and mechanism when coal is subject to external forces. The effects of coal type, particle size, temperature, and inlet atmosphere on CO production from coal body fragmentation were investigated through coal loading experiments. Materials Studio software was used to carry out coal macromolecular mechanics simulation and molecular dynamics simulation, and the gas production mechanism of coal under loading was explored at the molecular level. It was found that under air atmosphere, the low degree of deterioration, small particle size, and elevated temperature are all more likely to cause coal samples to fragment and decompose to produce CO. The carbonyl group in the molecular structure of coal is shed or broken free radical fragments react with oxygen which may lead to CO formation. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Free radicals

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Bearing fault diagnosis with cascaded space projection and a CNN

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Control Theory and Technology 2022年第1期20卷 103-113页

作者： Yunji Zhao Menglin Zhou Li Wang Xiaozhuo Xu Nannan Zhang School of Electrical Engineering and Automation Henan Polytechnic UniversityJiaozuo454003HenanChina Henan Key Laboratory of Intelligent Detection and Control of Coal Mine Equipment Henan Polytechnic UniversityJiaozuo454003HenanChina

Fault diagnosis is essential for the normal and safe operation of dynamic *** improve the spatial resolution among multiple channels and the discriminability among categories of the original data collected from actual operating equipments and to further achieve high diagnostic accuracy,this paper proposes a method for fault diagnosis by cascaded space projection(CSP)and a convolutional neural network(CNN)***,one of every kind of sample is selected from the original data to calculate the PCA transformation ***,the original data are expanded to 10 dimensions by the W2C projection matrix provided by Google-image searching,which is the main part of ***,the ten-dimensional matrix is multiplied by the PCA transformation matrix,which corresponds to its fault type,to make the data more representative by reducing unnecessary ***,the processed data are converted into images to input into a CNN,the backbone structure for fault *** verify the effectiveness and reliability of the proposed method,the Case Western Reserve University(CWRU)and Xi’an Jiaotong University(XJTU-SY)rolling bearing datasets are used to perform *** with other methods is carried out to show the superiority of the proposed *** experimental results demonstrate that the method proposed in this paper can effectively achieve 100%accuracy.

关键词： Color names Fault diagnosis Principal component analysis CNN

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Several Factors Affecting the Inspection of Wind Turbines by UAV

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Instrumentation 2022年第2期9卷 47-55页

作者： ZHANG Gaoming TAN Xingguo School of Electrical Engineering and Automation Henan Polytechnic UniversityJiaozuoHenan454000

The country strongly supports the development of new energy industries,with the clean energy wind power industry developing rapidly and the market maturing,the scale of wind farms and installed capaci-ty expanding,and the blade length increasing to *** increased blade length and weight increase the probability of *** manual inspection method is time-consuming and laborious,with a high economic cost,low inspection efficiency,and high safety risks,and cannot meet the current wind turbine fast and efficient inspection *** paper introduces the characteristics of the type of UAV,its working status,and mode,and proposes how to determine the best area for UAV inspection according to the factors that can cause interference to the inspection in the actual wind field,to achieve the demand for fast and efficient inspection of the blade surface and improve the accuracy of *** is believed that with the development of UAV technology,UAVs will play a more important role in the field of inspection.

关键词： Wind Turbine Blade UAV Wind Power Inspection

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Constrained Networked Predictive Control for Nonlinear Systems Using a High-Order Fully Actuated System Approach

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IEEE/CAA Journal of Automatica Sinica 2025年第2期12卷 478-480页

作者： Yi Huang Guo-Ping Liu Yi Yu Wenshan Hu the School of Electrical Engineering and Automation Wuhan University IEEE the Center for Control Science and Technology Southern University of Science and Technology the Department of Electrical and Electronic Engineering The Hong Kong Polytechnic University

Dear Editor,In this letter, a constrained networked predictive control strategy is proposed for the optimal control problem of complex nonlinear highorder fully actuated (HOFA) systems with noises. The method can effectively deal with nonlinearities, constraints, and noises in the system, optimize the performance metric, and present an upper bound on the stable output of the system.

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Bearing Fault Diagnosis Based on the Combination of Attention Entropy and Bayesian Network 5

Bearing Fault Diagnosis Based on the Combination of Attentio...

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5th IEEE International Conference on Power, Electronics and Computer Applications, ICPECA 2025

作者： Tong, Zhaojing Fan, Yongkui Tang, Lina School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo China School of Training Office Zhengzhou Industry Technicians College Zhengzhou China

ISBN: (纸本)9798331533694

In order to improve the accuracy of bearing fault identification, this paper proposes a bearing fault diagnosis method that combines the Improved Refined Composite Multiscale Attention Entropy (IRCMATE) with Bayesian networks. The method uses Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) to decompose the original signal, obtain multiple intrinsic modal functions (IMFs), calculate the Pearson correlation coefficient (PCC) between each IMF and the original signal, and select the IMFs with PCC greater than 0.3 to reconstruct the signal. Aiming at the problem that the multiscale attention entropy depends on the data length and is easily affected by the outliers in the sample, the improved refined composite multiscale attention entropy is proposed. The paper calculates the IRCMATE of the reconstructed signals, and select the IRCMATE under the appropriate scale as the new feature vector, so as to realize the fault feature extraction of the bearings. Improved Crown Porcupine Optimizer (ICPO) is proposed. ICPO solves the variable conflict problem of Crown Porcupine Optimizer (CPO) by realizing binary conversion through Sigmoid function. The dynamic strategy selection factor is introduced into the CPO, which improves the global exploration ability of the algorithm early in the iteration. After each iteration, the local optimization operations of increasing edge, decreasing edge and reversing edge are implemented on the current global optimal solution, so as to avoid falling into the local optimal solution. Using ICPO to get Bayesian network structure, and the bearing fault diagnosis model is obtained after training using the training set. It is shown through experiments that the fault features extracted using IRCMATE are more obvious. The comparison with other methods shows that IRCMATE-ICPO-BN has a higher fault diagnosis recognition rate. © 2025 IEEE.

关键词： Bayesian networks

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Data-Driven Load Frequency Control for Multi-Regional Power Systems Under Power Market 6

Data-Driven Load Frequency Control for Multi-Regional Power ...

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6th International Conference on Electronic engineering and Informatics, EEI 2024

作者： Zeng, Yiming Yin, Yanling Li, Xuan Bu, Xuhui School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo China School of Business Administration Henan Polytechnic University Jiaozuo China School of Business Zhengzhou Technology and Business University Zhengzhou China

ISBN: (纸本)9798350353594

With the development of the power system, the competition under the power market is becoming increasingly fierce. The supply and demand transaction between regions becomes more and more frequent. The influence of power market on load frequency control can't be ignored. In order to overcome the interference caused by inter-regional power exchange for power system. An improved model-free adaptive load frequency control method is proposed in this paper for multi-area power systems with unknown models. Firstly, to model bilateral contracts under free markets, the generation participation matrix is introduced. The dynamic evolution relationship of the system with the generation participation matrix is established. The data relationship model of the system is obtained using dynamic linearization techniques and a frequency tuning control algorithm is designed. Finally, the proposed algorithm's effectiveness is simulated and verified with a three-regional power system. © 2024 IEEE.

关键词： Power markets

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Arc Grounding Fault Identification Using Integrated Characteristics in the Power Grid

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Energy engineering 2024年第7期121卷 1883-1901页

作者： Penghui Liu Yaning Zhang Yuxing Dai Yanzhou Sun School of Electrical Engineering and Automation Henan Polytechnic UniversityJiaozuo454003China Research and Development Center Guangdong Zhicheng Champion Group Co.Ltd.Dongguan523000China Henan Key Laboratory of Intelligent Detection and Control of Coal Mine Equipment Henan Polytechnic UniversityJiaozuo454003China

Arc grounding faults occur frequently in the power grid with small resistance grounding neutral *** existing arc fault identification technology only uses the fault line signal characteristics to set the identification index,which leads to detection failure when the arc zero-off characteristic is *** solve this problem,this paper presents an arc fault identification method by utilizing integrated signal characteristics of both the fault line and sound ***,the waveform characteristics of the fault line and sound lines under an arc grounding fault are *** that,the convex hull,gradient product,and correlation coefficient index are used as the basic characteristic parameters to establish fault identification ***,the logistic regression algorithm is employed to deal with the reference samples,establish the machine discrimination model,and realize the discrimination of fault ***,simulation test results and experimental results verify the accuracy of the proposed *** comparison analysis shows that the proposed method has higher recognition accuracy,especially when the arc dissipation power is smaller than 2×10^(3) W,the zero-off period is not *** conclusion,the proposed method expands the arc fault identification theory.

关键词： Arc fault convex hull algorithm correlation coefficient fault identification gradient logistic regression

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