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Optimal Scheduling of Integrated Electricity and Gas System with Numerical Stability Condition-Free Method

CSEE Journal of Power and Energy Systems 2025年第2期11卷 607-611页

作者： Suhan Zhang Chi Yung Chung Wei Gu Ruizhi Yu Shuai Lu Pengfei Zhao Department of Electrical and Electronic Engineering The Hong Kong Polytechnic UniversityHong KongChina School of Electrical and Electronic Engineering Southeast UniversityNanjing 210000China Institute of Automation Chinese Academy of SciencesBeijing 100000China

Though an accurate discretization approach for gas flow dynamics, the method of characteristics (MOC) is liable to instability for inappropriate step sizes. This letter addresses the numerical stability limitation of MOC, in the context of lEGS's optimal scheduling. Specifically, the proposed method enables flexible temporal step sizes without sacrificing accuracy, significantly reducing non-convergence due to numerical oscillations. The effectiveness of the proposed method is validated through case studies in different simulation settings.

关键词： Integrated electricity and gas system method of characteristics numerical stability optimal scheduling partial differential equation

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A Study on Low-Carbon Dispatching of Multi-Microgrid Cooperative Game Considering Carbon-Green Certificate Joint Trading 7

A Study on Low-Carbon Dispatching of Multi-Microgrid Coopera...

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

作者： Zhu, Yongsheng Zhang, Shibo Xu, Qiying Liu, Yong School of Automation and Electrical Engineering Zhongyuan University of Technology Henan China

ISBN: (纸本)9798350356113

In order to realize the low-carbon economic goal of multi-microgrid system, this paper proposes a cooperative game low-carbon dispatching model for multi-microgrid system considering carbon-green certificate joint trading. Firstly, the carbon emissions trading and green certificate trading are considered comprehensively to establish carbon-green certificate joint trading model;Secondly, combining Nash negotiation theory to consider carbon-green certificate joint trading into a cooperative game low-carbon scheduling model for multi-microgrids, and the model is solved by the improved ADMM algorithm, which can effectively ensure the fair distribution of benefits among multi-microgrid system, protect the privacy of each participant and improve the convergence speed. Finally, the case shows that the proposed model can realize the energy-saving and carbon-reducing utility of the multi-microgrid systems, while guaranteeing the distribution of benefits of each participating subject. © 2024 IEEE.

关键词： Low emission

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Maximum throughput design of wireless powered communication network with IRS-NOMA based on user clustering

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The Journal of China Universities of Posts and Telecommunications 2023年第3期30卷 55-64页

作者： Guo Hui Zhao Xuehui School of Physics and Electronic Information Engineering Henan Polytechnic UniversityJiaozuo 454003China School of Electrical Engineering Chongqing UniversityChongqing 400044China

A wireless powered communication network(WPCN)assisted by intelligent reflecting surface(IRS)is proposed in this paper,which can transfer information by non-orthogonal multiple access(NOMA)*** the system,in order to ensure that the hybrid access point(H-AP)can correctly decode user information via successive interference cancellation(SIC)technology,the information transmit power of user needs to satisfy a certain threshold,so as to meet the corresponding SIC ***,when the number of users who transfer information simultaneously increases,the system performance will be greatly *** minimize the influence of SIC constraints on system performance,users are firstly clustered,and then each cluster collects energy from H-AP and finally,users transfer information based on NOMA with the assistance of ***,this paper aims to maximize the sum throughput of the system by jointly optimizing the beamforming of IRS and resource allocation of the *** semi-definite relaxation(SDR)algorithm is employed to alternately optimize the beamforming of IRS in each time slot,and the joint optimization problem about user’s transmit power and time is transformed into two optimal time allocation *** numerical results show that the proposed optimization scheme can effectively improve the sum throughput of the *** addition,the results in the paper further reveals the positive impact of IRS on improving the sum throughput of the system.

关键词： wireless powered communication network(WPCN) intelligent reflecting surface(IRS) user clustering

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Inverse Kinematics Analysis of a 6-DOF Manipulator Using Spherical Geometry Method

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Journal of Shanghai Jiaotong university(Science) 2022年第5期27卷 680-687页

作者： LIU Qunpo LIU Guanghui FEI Shumin WANG Haixing ZHANG Jianjun School of Electrical Engineering and Automation Henan Polytechnic UniversityJiaozuoHenan454002China School of Automation Southeast UniversityNanjing211189China Henan International Joint Laboratory of Direct Drive and Control of Intelligent Equipment Henan Polytechnic UniversityJiaozuoHenan454002China

A 6-DOF cooperative manipulator is used for human spinal deformity *** order to ensure the scanning quality of spinal deformity and improve the solution rate and speed of inverse motion solution of the manipulator,an inverse kinematics analytical method based on spherical geometry is proposed in this *** take the AUBO-i5 collaborative manipulator as the research object,which combines the rapidity of analytical solution with the flexibility of spherical *** the Robot Operating System,the simulation experiment solves the inverse kinematics of 10000 sets of randomly generated *** success rate and time-consuming of the solution are *** with the two commonly used inverse kinematics solving algorithms,TRAC-IK and KDL,this method has obvious advantages in terms of success rate and average time-consuming.

关键词： manipulator inverse kinematics spherical geometry solving success rate average solving time

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Constraints Separation Based Evolutionary Multitasking for Constrained Multi-Objective Optimization Problems

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IEEE/CAA Journal of Automatica Sinica 2024年第8期11卷 1819-1835页

作者： Kangjia Qiao Jing Liang Kunjie Yu Xuanxuan Ban Caitong Yue Boyang Qu Ponnuthurai Nagaratnam Suganthan School of Electrical and Information Engineering Zhengzhou UniversityZhengzhou 450001China School of Electrical Engineering and Automation Henan Institute of TechnologyXinxiang 453003China School of Electronic and Information Zhongyuan University of TechnologyZhengzhou 450007China KINDI Center for Computing Research College of EngineeringQatar UniversityDoha 999043Qatar

Constrained multi-objective optimization problems(CMOPs)generally contain multiple constraints,which not only form multiple discrete feasible regions but also reduce the size of optimal feasible regions,thus they propose serious challenges for *** all constraints,some constraints are highly correlated with optimal feasible regions;thus they can provide effective help to find feasible Pareto ***,most of the existing constrained multi-objective evolutionary algorithms tackle constraints by regarding all constraints as a whole or directly ignoring all constraints,and do not consider judging the relations among constraints and do not utilize the information from promising single ***,this paper attempts to identify promising single constraints and utilize them to help solve *** be specific,a CMOP is transformed into a multitasking optimization problem,where multiple auxiliary tasks are created to search for the Pareto fronts that only consider a single constraint ***,an auxiliary task priority method is designed to identify and retain some high-related auxiliary tasks according to the information of relative positions and dominance ***,an improved tentative method is designed to find and transfer useful knowledge among *** results on three benchmark test suites and 11 realworld problems with different numbers of constraints show better or competitive performance of the proposed method when compared with eight state-of-the-art peer methods.

关键词： Constrained multi-objective optimization(CMOPs) evolutionary multitasking knowledge transfer single constraint.

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Autoregressive Minimum Entropy Deconvolution Enhanced Resonance Features for Fault Diagnosis of Wind Turbine Gearbox

Autoregressive Minimum Entropy Deconvolution Enhanced Resona...

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2023 International Conference on automation, Control and Electronics engineering, CACEE 2023

作者： Shi, Xiaoyu Sun, Kang Henan Polytechnic University School of Electrical Engineering and Automation Jiaozuo China Henan Polytechnic University Dianrong Intelligent Technology Co. Ltd. School of Electrical Engineering and Automation Henan Key Laboratory of Intelligent Detection and Control of Coal Mine Equipment Jiaozuo China

ISBN: (纸本)9798350309201

Addressing the problem that the pulse component often submerges in other frequency components during the failure of the wind turbine gearbox, it is difficult to extract effectively the early fault characteristics. This paper proposed autoregressive minimum entropy deconvolution enhanced resonance features for wind turbine gearbox fault diagnosis. The method is combined with 1DCNN to achieve high-accuracy fault diagnosis. Firstly, the resonance-based sparse signal decomposition was utilized to decompose the vibration signals into a high resonance component containing noise and harmonic components and a low resonance component containing fault impulse components. Secondly, the AR-MED was employed to enhance the weak impulse features in the low resonance component, thus further enhancing the periodic impulse components of the gearbox. Finally, a feature enhanced 1DCNN was constructed to fuse the decomposed harmonic and periodic impulse components for feature integration, targeted training, and classification. The outcomes of the experiment indicated the efficacy and supremacy of the suggested approach in extracting information about fault characteristics and enhancing the accuracy of fault diagnosis in wind turbine gearbox systems in contrast to current fault diagnosis models. © 2023 IEEE.

关键词： Failure analysis

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Stability of stochastic T-S fuzzy systems via dynamic event-triggered control

Stability of stochastic T-S fuzzy systems via dynamic event-...

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2024 International Conference on automation, electrical Control Systems and Equipment, AECSE 2024

作者： Zhang, Yali Liu, Linna Pan, Chenglong Zhou, Shuaibo School of Automation and Electrical Engineering Zhongyuan University of Technology Henan Zhengzhou450007 China

This paper aims to examine the practical input-to-state stability (p-ISS) of stochastic T-S fuzzy systems (T-SFS) with parameter uncertainty by employing dynamic event-triggered control (DETC). In order to reduce the frequency of triggering events and the number of messages transmitted, we propose a DETC scheme, which introduces the waiting time to avoid Zeno behaviour and further saves communication resources. Additionally, within the DETC approach, LMI-based criteria are formulated to guarantee p-ISS for nonlinear stochastic T-SFS. © Published under licence by IOP Publishing Ltd.

关键词： Stochastic systems

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Fixed-Time Dynamic Surface Fault-Tolerant Tracking Control for UAV with Actuator Fault

Fixed-Time Dynamic Surface Fault-Tolerant Tracking Control f...

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International Conference on Guidance, Navigation and Control, ICGNC 2022

作者： Zheng, Shuaipeng Wu, Zhonghua College of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo454000 China

ISBN: (纸本)9789811966125

A dynamic surface fixed-time fault-tolerant controller is constructed for a fixed-wing UAV with actuator fault. Firstly, the longitudinal dynamic model of UAV is converted into a strict-feedback form. Secondly, a new disturbance observer is designed to estimate the lumped disturbances. Thirdly, the fixed-time controller without fractional power terms is designed by backstepping method to avoid singular value problem. The phenomenon of "differential explosion" is eliminated using the new fixed-time filter. Finally, Lyapunov stability analysis prove convergence of the tracking errors and simulations validate the effectiveness of the proposed controller. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Unmanned aerial vehicles (UAV)

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Adsorption and sensing characteristics of insulating gas C4F7N on 3d late transition metal-phthalocyanine:Theoretical and experimental study

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High Voltage 2024年第4期9卷 870-878页

作者： Dachang Chen Ziang Zheng Cong Zhang Yi Luo Song Xiao Qing Miao Ke Liu Beibei Xiao School of Electrical and Electronic Engineering Wuhan Polytechnic UniversityWuhanChina Beijing International S&T Cooperation Base for Plasma Science and Energy Conversion Institute of Electrical EngineeringChinese Academy of SciencesBeijingChina School of Electrical Engineering and Automation Wuhan UniversityWuhanChina School of Energy and Power Engineering Jiangsu University of Science and TechnologyZhenjiangChina

Heptafluoroisobutyronitrile(C_(4)F_(7)N)is being considered as a promising alternative to the greenhouse gas SF6 in the electrical ***,its biotoxicity necessitates the development of gas sensing technology to detect leaked C_(4)F_(7)N.A combination of density functional theory and experiments was employed to evaluate the adsorption and sensing performance of different metal-phthalocyanines as potential sensing materials for C_(4)F_(7)N *** study included exploring adsorption configurations with adsorption energies,electron transfer,and adsorption distance,as well as comparisons of electronic properties,electron distribution,and density of states(DOS)among the ***,gas sensing experiments were conducted using different MPcs to detect 25-100 ppm C_(4)F_(7)*** results revealed that Mn-Pc,Fe-Pc,Co-Pc,and Zn-Pc exhibited considerable chemical interactions,while Ni-Pc and Cu-Pc showed weaker adsorption *** findings were further elucidated based on the electron density and DOS of atomic ***,gas sensing experiments indicated that Co-Pc demonstrated a higher response compared to Fe-Pc at the same concentration of C_(4)F_(7)***,the theoretical and experimental insights offer valuable guidance for C_(4)F_(7)N detection and provide a systematic approach to screen and explore organometallic polymer-based gas sensors applicable in various fields.

关键词： adsorption phthalocyanine Adsorption

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Distributed Economic Dispatch for Multi-area Power Systems Based on Multi-objective Differential Evolution Algorithm 13

Distributed Economic Dispatch for Multi-area Power Systems B...

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13th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2024

作者： Ren, Xuyang Bu, Xuhui Yin, Yanling Li, Xuan Zhang, Yan School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo454003 China School of Business Administration Henan Polytechnic University Jiaozuo454003 China College of Business Zhengzhou Technology and Business University Zhengzhou451400 China

ISBN: (纸本)9798350361674

Economic dispatch of a multi-area interconnected power system with wind, solar, and energy storage units is a typical non-convex and nonlinear optimization problem, which is difficult to be solved by the existing mathematical programming methods. In this paper, a distributed multi-objective differential evolution algorithm is proposed. Firstly, to improve the global search ability of the multi-objective differential evolutionary algorithm, the population is partitioned using a competitive mechanism. A multi-strategy scheme is used according to the partition to enhance the diversity of the algorithm. Secondly, the IEEE 39-bus system is decomposed into several sub-areas using the bus tearing method and the interval information is transmitted through the boundary tie-lines. Then a distributed method is proposed to be applied to the above algorithm, where each sub-algorithm solves the sub-problem associated with each area. Finally, the IEEE 39-bus system is divided into two-area and three-area interconnected systems, and the performance of the algorithm is verified on the modified IEEE 39-bus system. The experimental results verify the effectiveness of the improved multi-objective differential evolution optimization algorithm and the feasibility of the distributed approach. © 2024 IEEE.

关键词： Optimization algorithms

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