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Iranian Conference on electrical engineering (ICEE)

作者： Mohammad Khakroei Ashkan Mirzaei Rajeooni Mahdi Rahimi Pirbasti Hossein Heydari MAPNA Electric & Control Engineering & Manufacturing Company (MECO) Alborz Iran Department of Engineering and R&D MAPNA Generator Engineering and Manufacturing Company (PARS) Alborz Iran Department of Electrical Engineering (Center of Excellence for Power System Automation and Operation) Iran University of Science and Technology (IUST) Tehran Iran

Although Voltage Source Converters based on HVDC (VSC-HVDC) systems have several advantages, they are vulnerable to DC fault currents. Concerning the inherent characteristics of high-temperature superconducting (HTS) material, using HTS in the fault current limiter could be a solution to limit the current in VSC-HVDC. The present paper seeks to provide an elaborately better solution to the problem mentioned above of the fault currents than what has previously been proposed. The object of this research is a modified flux coupling type superconductor fault current limiter (MFC-SFCL) to attenuate the fault current in VSC-HVDC network. The principle mechanism and operation of the SFCL and VSC-HVDC systems are modeled in detail, involving interplay or synergy between electrical and thermal properties. The simulation results demonstrate that the purposed MFC-SFCL has the proper function to mitigate the fault current.

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systematic control of Electro-hydraulic Velocity Servomechanism using Fractional Order Technique

Systematic Control of Electro-hydraulic Velocity Servomechan...

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International Conference on control, Automation and Diagnosis (ICCAD)

作者： Muhammad Majid Gulzar Fahad Usman Khan Daud Sibtain Adnan Shakoor Muhammad Khalid Department of Control & Instrumentation Engineering Department of Electrical Engineering University of Central Punjab Lahore Pakistan Energy Center of Excellence (ECoE) Harbin Electric International Harbin China Electrical Engineering Department Interdisciplinary Research Center for Renewable Energy and Power Systems (IRC-REPS) King Fahd University of Petroleum & Minerals Dhahran Saudi Arabia

Electro-Hydraulic ServoMechanism (EHSM) is a nonlinear system with tentative dynamics, whose control is a difficult task. In this research, an alternative to the existing technique, a fractional order PID control-based approach, is presented. Initially, a SIMULINK based nonlinear model is constructed. The linear model is obtained by approximating the non-linearity using the bilinear transformation. Pole placement is blended with the Ziegler-Nichols tuning method to carry out the controller design and controller parameter tuning. The results are compared with conventional PID, and stability analysis is also analyzed. The results of the fractional order controller show satisfactory improvement than the results of conventional PID.

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Deep Learning-based Fire Alarmer for Underground power Cable Tunnel with Multiple Information Sources

Deep Learning-based Fire Alarmer for Underground Power Cable...

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International Conference on Intelligent systems Applications to power systems (ISAP)

作者： Jinshuo Jia Zhengwen Huang Yuhang Xia Guoquan Li Yujie Zhang Laurentiu Lipan Ioana Pisica School of Communications and Information Engineering Chongqing University of Posts and Telecommunications Chongqing China Theme of System Optimization BRUNEL-CQUPT Innovation Centre Chongqing China Department of Electronic and Electrical Engineering Brunel University London U.K Engineering Project Management Center Chengdu Power Supply Company of Sichuan Electric Power Company Chengdu China Department of Electric Power Systems University Politehnica of Bucharest Bucharest Romania

ISBN: (数字)9798331531751

ISBN: (纸本)9798331531768

Regarding the issue of risk management and control of tunnel cable fires, a cable fire management and control scheme based on Gene Expression Programming (GEP) has been proposed. This scheme comprises three stages: firstly, a cable skin temperature rise model based on load variations has been established; secondly, a cable fire monitoring model based on YOLOv5 has been trained; and finally, a cable fire management and control scheme that integrates GEP has been proposed. Through the fusion analysis of data from the first two stages, the dynamic adjustment of the weight output of different parts is achieved to achieve automatic recognition of optimal states. Through experiments and analysis, the temperature variation patterns of cables under various loads and environmental conditions have been demonstrated, as well as the recognition performance of the fire monitoring model based on YOLOv5, and a dynamic planning scheme for the GEP model has been provided.

关键词： Adaptation models Analytical models Temperature distribution power cables Computational modeling Predictive models Skin Data models Monitoring Load modeling

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A fast and effective maximum power point tracking method under various weather conditions for grid-connected photovoltaic systems

A fast and effective maximum power point tracking method und...

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IEEE Conference on power Electronics and Renewable Energy (CPERE)

作者： Karam Khairullah Mohammed Saad Mekhilef Muhyaddin Rawa Control and Mechatronics Engineering Department School of Electrical Engineering Universiti Teknologi Malaysia Johor Bahru Malaysia School of Software and Electrical Engineering Faculty of Science Engineering and Technology Swinburne University of Technology Hawthorn VIC Australia Smart Grids Research Group Center of Research Excellence in Renewable Energy and power Systems King Abdulaziz University Jeddah Saudi Arabia Department Of Electrical and computer Engineering Faculty of engineering K. A Care Energy Research and Innovation Center King Abdulaziz University Jeddah Saudi Arabia

Photovoltaic systems (PV) are exposed to various weather conditions during the day and getting the maximum power of a PV system is one of its major challenges. While the conventional methods take time to track the maximum power accompanying the fluctuation around the maximum power. Consequently, several metaheuristic algorithms have been presented to overcome the fluctuating around the maximum power. On the other hand optimization methods will search into entire the PV curve to extract the maximum power. This leads to unnecessary search points during the uniform shading conditions which decrease the convergence speed towards the maximum power. In overcoming the tracking time issues as well as the capacity to distinguish between uniform and partial shading conditions, a quick and efficient tracking technique connected to the grid system was presented in this paper. The proposed system, has been tested using MATLAB/SIMULINK, which includes a boost converter to track the maximum power with a sampling time of 0.05 seconds, While a voltage source converter (VSC) is used to transfer the power generated by solar panels to the grid. The simulation results demonstrated that the proposed method was successfully implemented, with an average tracking time of 0.412 s for different weather conditions. Moreover, the comparison with the conventional method of perturb and observe (P& O) has been presented to evaluate the proposed method’s efficiency.

关键词： Maximum power point trackers Renewable energy sources Fluctuations Simulation Optimization methods power electronics Solar panels

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An Experimental Study of the Savonius Water Current Turbine by means of Myring Equation for n = 1 1

An Experimental Study of the Savonius Water Current Turbine ...

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1st Paris Van Java International Seminar on Computer, Science, engineering, and Technology, PVJ ISComSET 2020

作者： Setiawan, P.A. Santoso, M. Indarti, R. Ariwiyono, N. Yuwono, T. Widodo, W.A. Department of Marine Engineering Politeknik Perkapalan Negeri Surabaya Surabaya60111 Indonesia Department of Marine Electrical Engineering Politeknik Perkapalan Negeri Surabaya Surabaya60111 Indonesia Department OfMechanical Engineering Institut Teknologi Sepuluh Nopember Surabaya60111 Indonesia Center of Excellence in Automotive Control and System Institut Teknologi Sepuluh Nopember Surabaya60111 Indonesia

This work has been done experimentally to the Savonius water current turbine by means of Myring equation for n =1. The myring for n=2 is called the conventional turbine with half circle or bucket. Experiment is tested in flume tank by 1.1 m of wide and 0.8 m of height. The free stream velocity is 0.22 m/s measured at 1.5 m from nozzle. The model is the Myring equation with n=1 by 0.4 m of height and 0.4 m of turbine diameter. The experimental study has investigated the torque coefficient and the power coefficient. The power coefficient has been called the performance coefficient. The experimental results shows that the Myring formula n = 1 have the performance coefficient higher than the conventional blade. The myring blade for n = 1 increases in about 42.88 % compared to the conventional blade. © Published under licence by IOP Publishing Ltd.

关键词： Turbines

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Optimized Neuro-Adaptive Third-Order Sliding Mode control with High-Gain Differentiator for Enhanced Photovoltaic system Performance: Simulation and Experimental Validation

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IEEE Journal of Emerging and Selected Topics in power Electronics 2025年

作者： Ullah, Ameen Ullah, Safeer Hussan, Umair Alghamdi, Baheej Pan, Jianfei Shenzhen University College of Mechatronics and Control Engineering Shenzhen 518060 China Quaid-e-Azam College of Engineering and Technology Department of Electrical Engineering Sahiwal 57000 Pakistan King Abdulaziz University Faculty of Engineering Jeddah 21589 Saudi Arabia King Abdulaziz University Center of Research Excellence in Renewable Energy and Power Systems Jeddah 21589 Saudi Arabia

his paper addresses the challenge of optimizing photovoltaic (PV) system performance under rapidly changing environmental conditions, such as fluctuations in solar irradiance and temperature. To enhance energy extraction and regulate power delivery, a non-inverting DC-DC buck-boost converter is employed. Motivated by the nonlinear behavior and uncertainty inherent in PV systems, we propose a novel control strategy—Neuro-Adaptive Third-Order Sliding Mode control (NATOSMC)—that ensures accurate and robust reference tracking. The control scheme integrates a Radial Basis Function Neural Network (RBFNN) for generating the reference signal, and a High-Gain Differentiator (HGD) to estimate system states using differential flatness theory. To ensure optimal performance, adaptive laws adjust the control gains in real-time, with parameter optimization performed via the Grey Wolf Optimizer (GWO). Stability is rigorously guaranteed through Lyapunov analysis. Both simulation and experimental results validate the proposed method, demonstrating superior performance in terms of tracking precision, dynamic response, and robustness compared to conventional controllers. Key results include a settling time of 0.014 s, rise time of 0.012 s, overshoot of 0.05%, and tracking efficiency of 98.71%. The controller also achieves improved performance indices: Integral Absolute Error (IAE) of 111.04, Integral Square Error (ISE) ofhis paper addresses the challenge of optimizing photovoltaic (PV) system performance under rapidly changing environmental conditions, such as fluctuations in solar irradiance and temperature. To enhance energy extraction and regulate power delivery, a non-inverting DC-DC buck-boost converter is employed. Motivated by the nonlinear behavior and uncertainty inherent in PV systems, we propose a novel control strategy—Neuro-Adaptive Third-Order Sliding Mode control (NATOSMC)—that ensures accurate and robust reference tracking. The control scheme integrates a Radial Basis F

关键词： High Gain Differentiator Maximum power extraction Photovoltaic system Radial basis function neural network third-order sliding mode control

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An Experimental Study of Overlap Ratio Effect to Savonius water Current Turbine by using Myring Equation for n=1 1

An Experimental Study of Overlap Ratio Effect to Savonius wa...

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1st Paris Van Java International Seminar on Computer, Science, engineering, and Technology, PVJ ISComSET 2020

作者： Setiawan, P.A. Indarti, R. Ariwiyono, N. Yuwono, T. Widodo, W.A. Department of Marine Engineering Politeknik Perkapalan Negeri Surabaya Surabaya60111 Indonesia Department of Marine Electrical Engineering Politeknik Perkapalan Negeri Surabaya Surabaya60111 Indonesia Department of Mechanical Engineering Institut Teknologi Sepuluh Nopember Surabaya60111 Indonesia Center of Excellence in Automotive Control and System Institut Teknologi Sepuluh Nopember Surabaya60111 Indonesia

This study has been employed experimentally towards Savonius water turbine by using Myring equation for n=1. This work will be varied to overlap ratio of 0, 0.05, 0.1, 0.15, 0.2, 0.25 and 0.3. The overlap ratio of 0 can be called as the conventional turbine using half circle. The experiment is tested in flume tank by 1.1 m of wide and 0.8 m of height and the water velocity 0.22 m/s. The turbine have 0.4 m of height and 0.4 of diameter. This work will be calculated the torque coefficient and the power coefficient. The power coefficient is called the performance coefficient. The results indicated that the best performance coefficient has improved in about 62.83 % at overlap ratio of 0.2. © Published under licence by IOP Publishing Ltd.

关键词： Turbines

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Transformer components impact on compatibility of measured PDs:comparison of IEC60270 and RF methods

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High Voltage 2019年第1期4卷 33-40页

作者： Keyvan Firuzi Mehdi Vakilian B.Toan Phung Trevor Blackburn Electrical Engineering Department and Centre of Excellence in Power System Management and Control Sharif University of TechnologyTehranIran School of Electrical Engineering&Telecommunications University of New South WalesSydneyAustralia

power transformer partial discharge signal measurement using Radio Frequency method has advantages over IEC 60270‘apparent charge’measurement method for online monitoring due to greater immunity against external ***,the lack of a well-defined calibration relationship between the two methods is main disadvantage of RF *** measurements,using these two methods,carried out on various transformer PD source models,in laboratory,to investigate main parameters that affect the relationship of results of these two *** this paper,factors that influence this relationship are classified into three groups:(i)type of PD sources,(ii)transformer windings as PD signal transmitter,and(iii)the inner structure of the ***,the relationship between these two methods has been investigated for some simple types of PD ***,by adding the winding structure model to the void,which is the PD source,its impact on each measurement method and the relationship between them have been *** impact of inner structure on the relation between the two methods is compensated through a formula which is proposed as a means for calibration of the RF partial discharge measurement *** to compensate for internal insulating system effects more research is required.

关键词： winding disadvantage adding

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Major strategies for improving the performance of perovskite solar cells

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iEnergy 2023年第3期2卷 172-199页

作者： Lixiu Zhang Hang Li Kai Zhang Wenzhe Li Chuantian Zuo George Omololu Odunmbaku Jingde Chen Cong Chen Luozheng Zhang Ru Li Yuping Gao Baomin Xu Jiangzhao Chen Yongsheng Liu Yang Wang Yanlin Song Jianxin Tang Feng Gao Qing Zhao Yong Peng Mingzhen Liu Lei Tao Yuelong Li Zhimin Fang Ming Cheng Kuan Sun Dewei Zhao Yixin Zhao Shihe Yang Chenyi Yi Liming Ding Center for Excellence in Nanoscience(CAS) Key Laboratory of Nanosystem and Hierarchical Fabrication(CAS)National Center for Nanoscience and TechnologyBeijing 100190China State Key Laboratory of Power System Department of Electrical EngineeringTsinghua UniversityBeijing 100084China Shenzhen Graduate School Peking UniversityShenzhen 518055China School of Environmental Science and Engineering Shanghai Jiao Tong UniversityShanghai 200240China College of Materials Science and Engineering&Engineering Research Center of Alternative Energy Materials&Devices Sichuan UniversityChengdu 610065China School of Energy&Power Engineer-ing Chongqing UniversityChongqing 400044China Institute for Energy Research Jiangsu UniversityZhenjiang 212013China Institute of New Energy Technology Department of Electronic EngineeringCollege of Information Science and TechnologyJinan UniversityGuangzhou 510631China Institute of Functional Nano&Soft Materials(FUNSOM) Soochow UniversitySuzhou 215123China Department of Materials Science and Engineering Southern University of Science and TechnologyShenzhen 518055China College of Optoelectronic Engineering Chongqing UniversityChongqing 400044China College of Chemistry Nankai UniversityTianjin 300071China Institute of Chemistry Chinese Academy of SciencesBeijing 100190China State Key Lab for Mesoscopic Physics and Frontiers Science Center for Nano-optoelec-tronics School of PhysicsPeking UniversityBeijing 100871China State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of TechnologyWuhan 430070China School of Materials and Energy University of Electronic Science and Technology of ChinaChengdu 611731China Institute of Photoelectronic Thin Film Devices and Technology Nankai UniversityTianjin 300350China School of Materials Science and Engineering Shaanxi Normal UniversityXi’an 710119China

Metal halide perovskite solar cell(PSC)has successfully distinguished itself in optoelectronic field by virtue of the sharp rise in power conversion efficiency over the past *** remarkable efficiency breakthrough at such a fast speed can be mainly attributed to the comprehensive study on film deposition techniques,especially the effective management of surface and interfacial defects in recent ***,we summarized the current trends in performance enhancement for PSCs,with a focus on the generally applicable strategies in high-performance works,involving deposition methods,compositional engineering,additive engineering,crystallization manipulation,charge transport material selection,interfacial passivation,optical coupling effect and constructing tandem solar *** directions and perspectives are also provided.

关键词： Perovskite solar cells efficiency improvement strategies milestones

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The 2023 report of the synergetic roadmap on carbon neutrality and clean air for China: Carbon reduction, pollution mitigation, greening, and growth

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Environmental Science and Ecotechnology 2025年第1期23卷 1-18页

作者： Jicheng Gong Zhicong Yin Yu Lei Xi Lu Qiang Zhang Cilan Cai Qimin Chai Huopo Chen Renjie Chen Wenhui Chen Jing Cheng Xiyuan Chi Hancheng Dai Zhanfeng Dong Guannan Geng Jianlin Hu Shan Hu Cunrui Huang Tiantian Li Wei Li Xiaomei Li Yongsheng Lin Jun Liu Jinghui Ma Yue Qin Weiqi Tang Dan Tong Jiaxing Wang Lijuan Wang Qian Wang Xuhui Wang Xuying Wang Libo Wu Rui Wu Qingyang Xiao Yang Xie Xiaolong Xu Tao Xue Haipeng Yu Da Zhang Li Zhang Ning Zhang Shaohui Zhang Shaojun Zhang Xian Zhang Zengkai Zhang Hongyan Zhao Bo Zheng Yixuan Zheng Tong Zhu Huijun Wang Jinnan Wang Kebin He State Key Joint Laboratory for Environment Simulation and Pollution Control College of Environmental Sciences and Engineering and Center for Environment and HealthPeking UniversityBeijing100871China Key Laboratory of Meteorological Disaster Ministry of Education/Joint International Research Laboratory of Climate and Environment Change(ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD)Nanjing University of Information Science&TechnologyNanjing210044China Center of Air Quality Simulation and System Analysis Chinese Academy of Environmental PlanningBeijing100041China Center for Carbon Neutrality Chinese Academy of Environmental PlanningBeijing100041China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing100084China Institute for Carbon Neutrality Tsinghua UniversityBeijing100084China Ministry of Education Key Laboratory for Earth System Modelling Department of Earth System ScienceTsinghua UniversityBeijing100084China National Center for Climate Change Strategy and International CooperationBeijing100035China Nansen-Zhu International Research Centre Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing100029China School of Public Health Key Lab of Public Health Safety of the Ministry of Education and Key Lab of Health Technology Assessment of the Ministry of HealthFudan UniversityShanghai200032China School of Economics and Management Beijing University of Chemical TechnologyBeijing100029China Department of Earth System Science University of CaliforniaIrvineIrvineCA92697USA National Meteorological Center China Meteorological AdministrationBeijing100081China College of Environmental Sciences and Engineering Peking UniversityBeijing100871China Institute of Eco-Environmental Management and Policy Chinese Academy of Environmental PlanningBeijing100041China Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Contr

The response to climate change and air pollution control demonstrates strong synergy across scientific mechanisms,targets,strategies,and governance *** report,based on a monitoring indicator system for coordinated governance of air pollution and climate change,employs an interdisciplinary approach combining natural and social *** establishes 20 indicators across five key areas:air pollution and climate change,governance systems and practices,structural transformation and technologies,atmospheric components and emission reduction pathways,and health impacts and *** report tries to provide actionable insights into the interconnectedness of air pollution and climate *** highlights key policy gaps,presents updated indicators,and offers a refined monitoring framework to track progress toward China's dual goals of reducing emissions and improving air *** to previous editions,this year's report has updated four key indicators:meteorological impacts on air quality,climate change and its effects,governance policies,and low-carbon building energy *** aim is to further refine the monitoring framework,track progress,and establish a comprehensive theory for collaborative governance while identifying challenges and proposing solutions for China's pathway to carbon neutrality and clean *** report comprises six *** executive summary chapter is followed by analyzing air pollution and climate change *** systems and practices are discussed in the third chapter,focusing on policy implementation and local *** fourth chapter addresses structural transformations and emission reduction technologies,including energy and industrial shifts,transportation,low-carbon buildings,carbon capture and storage,and power *** fifth chapter outlines atmospheric component dynamics and emission pathways,presenting insights into emission drivers and future *** sixth chapter assesses he

关键词： Synergetic roadmap Carbon neutrality Clean air

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