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25th IEEE China Conference on System Simulation Technology and its Application, CCSSTA 2024

作者： Xu, Xihao Kong, Xiangyu Wang, Yang Liu, Jiancun Wang, Yubo Yu, Fanfan Tianjin University of Technology Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin China Tianjin University Key Laboratory of Smart Grid Tianjin China China State Grid Tianjin Electric Power Company Tianjin China

ISBN: (纸本)9798350366600

Analyzing the factors that influence carbon emission reduction and predicting the peak year of carbon emissions will help the region clarify the direction of emission reduction efforts and take the lead in achieving carbon peak and carbon neutrality. This paper proposes a regional dual-carbon target and path planning method. Firstly, an indicator system is established to explore the relationship between regional carbon emissions and factors such as the economy, population, and energy efficiency consumption. Indicators with higher correlation are selected through gray correlation analysis. Then, the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) model is constructed to predict carbon emissions in the region. Lastly, a scenario design is conducted for the dual-carbon target, predicting carbon emissions under different scenarios while considering carbon sinks. The results are analyzed to finalize the regional dual-carbon target and path. © 2024 IEEE.

关键词： Carbon capture and utilization

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Optimal Phase Switch Device Placement Scheme for Low Voltage Distribution Network Considering Load and Renewable Energy Uncertainty

Optimal Phase Switch Device Placement Scheme for Low Voltage...

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2022 Asia Power and Electrical Technology Conference, APET 2022

作者： Liang, Feng Ni, Jianfu Zhu, Hao Xiong, Qingsheng Yu, Zhuofei Nari Group Corporation State Key Laboratory of Smart Grid Protection and Control R&d Department in Nari Technology Nanjing China Xi'an Jiaotong University Smart Grid Key Laboratory of Shaanxi Province Xi'an China

ISBN: (纸本)9781665453349

With the increase of single-phase devices and loads in the power system, the three-phase unbalance problem of the low voltage distribution network is more serious. Besides, the intermittency and volatility of renewable energy increase system uncertainty. To address this issue, this paper proposes a phase switch device placement model for the low voltage distribution network with renewable energy sources. The proposed model combines network reconfiguration and phase switch device to mitigate the three-phase unbalance. Considering the uncertainty of loads and renewable energy output, the proposed model is formulated as a mixed integer linear programming model based on stochastic programming, which can be solved by general commercial solvers and find the global optimal solution. The effectiveness of the proposed model is validated on the IEEE 13 node test feeder. The results show that the proposed model can significantly mitigate the three-phase unbalance of low voltage distribution network. © 2022 IEEE.

关键词： Renewable energy resources

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A Cooperative Development Path in Distribution Networks with Distinct Ownership Based on System Dynamics

A Cooperative Development Path in Distribution Networks with...

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2022 Asia Power and Electrical Technology Conference, APET 2022

作者： Ni, Jianfu Liang, Feng Yu, Tianying Xiong, Qingsheng Zhu, Jinda Nari Group Corporation State Key Laboratory of Smart Grid Protection and Control R&d Department in Nari Technology Nanjing China Xi'an Jiaotong University Smart Grid Key Laboratory of Shaanxi Province Xi'an China

ISBN: (纸本)9781665453349

The system dynamics is an effective tool to study the internal evolution mechanism of a system. In this paper, a distinct ownership interaction causal loop diagram of the distribution network is established by sorting out the relationship chain between distributed PV, distributed gas units, distributed energy storage, distribution company and residents. The distinct ownership co-evolution model of distribution network is further established, and the boundary conditions of distributed power supply construction of distribution network are obtained by analyzing the distribution network test case. The effective path to achieve the dual carbon target is verified. © 2022 IEEE.

关键词： Electric power distribution

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Multi-Objective Optimization of Magnetic Parameters in Wireless Charging Coupler Based on Deep Belief Network 26

Multi-Objective Optimization of Magnetic Parameters in Wirel...

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26th International Conference on Electrical Machines and Systems, ICEMS 2023

作者： Lan, Yu Jiang, Jinhai Song, Kai Yang, Fengshuo Sang, Lin Wang, Ke Zhang, Zhenjun Zhang, Xuan Li, Xuling Harbin Institute of Technology School of Electrical Energineering and Automation Harbin China Nari Technology CO. LTD. State Key Laboratory of Smart Grid Protection and Operation Control Nanjing China

ISBN: (纸本)9798350317589

The magnetic coupler is the core component of the wireless charging system. Its magnetic parameters have a significant effect on transmission performance. However, the current analytical models used for multi-objective optimization design are inadequate with poor calculation accuracy, leading to challenges in achieving comprehensive multi-objective optimal. This paper proposes an efficient fitness function modeling method for multi-objective optimization based on the deep belief network (DBN), enhancing both the design accuracy and optimization speed. Firstly, a three-dimensional magnetic circuit model is developed to consider the coil, magnetic core, and aluminum plate. Secondly, a loss correlation model of the magnetic coupler is established. Thirdly, the deep belief network (DBN) regression is utilized to obtain an accurate fitness characterization function. Finally, the fractional particle swarm optimization (FPSO) is applied to achieve the Pareto optimal solution of the magnetic coupler's design parameters. In this work, the WPTI rectangular coil is taken as an illustrative example. An optimized design with a coupling coefficient of 0.23, transmission efficiency of 97.5%, and a weight of 9.6 kg is selected for experimental verification. The results demonstrate that the predicted values match the measurements with an error less than 5%. © 2023 IEEE.

关键词： Multiobjective optimization

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Simultaneous catalytic removal of NO and chlorobenzene over Mn-Ce-Sm-Sn-O_x/P84 composite catalytic filter

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Journal of Rare Earths 2025年第3期43卷 526-533,I0004页

作者： Mutao Xu Liguo Chen Xinpei Cheng Qijie Jin Ranran Zhou Jian Yang Chengzhang Zhu Sheng Wang Haitao Xu School of Environmental Science and Engineering Nanjing Tech UniversityNanjing210009China State Key Laboratory for Clean and Efficient Coal-fired Power Generation and Pollution Control State Key Laboratory of Low-carbon Smart Coal-fired Power Generation and Ultra-clean EmissionNanjing210046China College of Materials Science and Engineering Nanjing Tech UniversityNanjing210009China State Key Laboratory of Materials-Oriented Chemical Engineering Nanjing Tech UniversityNanjing210009China Nanjing Gekof Institute of Environmental Protection Technology&Equipment Co. Nanjing210031China

The integration of surface filtration and catalytic decomposition functions in catalytic bags enables the synergistic removal of multiple pollutants(such as dust,nitrogen oxide,acid gases,and dioxins)in a single reactor,thus effectively reducing the cost and operational difficulties associated with flue gas *** this study,Mn-Ce-Sm-Sn(MCSS)catalysts were prepared and loaded onto hightemperature resistant polyimide(P84)filter through ultrasonic impregnation to create composite catalytic *** results demonstrate that the NO conversion rates of the composite catalytic filter consistently achieve above 95%within the temperature range of 160-260℃,with a chlorobenzene T_(90)value of 230℃.The ultrasonic impregnation method effectively loaded the catalyst onto the filter,ensuring high dispersion both on the surface and inside the *** increased exposure of catalyst active sites enhances the catalytic activity of the composite catalytic ***,increasing the catalyst loading leads to a gradual decrease in permeability,an increase in pressure drops and the long residence time of the flue gas,thereby improving catalytic *** to ordinary impregnation methods,ultrasonic impregnation improves the bonding strength between the catalyst and filter,as well as the permeability of the composite catalytic filter under the same loading ***,this study presents a novel approach to prepare composite catalytic filter for the simultaneous removal of NO and chlorobenzene at low temperatures.

关键词： Compound catalytic filter Simultaneous catalysis Polyimide fibers Ultrasonic impregnation Rare earths

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A New Differential protection Scheme of Distribution Network Line Based on Improved DTW Algorithm and 5G Communication 1

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6th PURPLE MOUNTAIN FORUM on smart grid protection and control, PMF2021

作者： Pu, Hongfei Wu, Tonghua Yao, Gang Hong, Feng Zheng, Xiaojiang Wang, Weiwei Li, Xindong State Key Laboratory of Smart Grid Protection and Control Jiangsu Nanjing211106 China NARI Group Corporation Jiangsu Nanjing211106 China

ISBN: (数字)9789811671562

ISBN: (纸本)9789811671555

With the massive access of new energy, the differential protection will replace the traditional single-ended protection as the main protection of the distribution network line. Among the current differential protection channels, only 5G communication technology has both advantages of performance and price. However, using 5G communication as a communication channel needs to overcome the problems of delay jitter and data packet loss. This article first analyzes the principle of differential protection based on dynamic time warping (DTW) distance algorithm, and uses the nearest previous normal sampling point to replace the current abnormal one to deal with the problem of data packet loss, which is called alternative processing method. Secondly, the main starting criterion based on DTW distance of two-phase current and the auxiliary starting criterion based on DTW distance of the triple zero-sequence current are proposed. Thirdly, the calculation method of DTW algorithm under the short data window is proposed and the two operating criteria based on DTW algorithm are improved. And then, these 4 criteria are combined as a differential protection scheme for distribution network. Both theoretical calculation and simulation analysis show that the proposed scheme can operate well under different types of faults in different locations. With 5G communication delay being ignored, the scheme can operate in only 4–7 ms, and the data window of main operating criterion is only 3.75 ms. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： 5G mobile communication systems

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Electric vehicle identification and demand response capability assessment based on non-intrusive monitoring 5

Electric vehicle identification and demand response capabili...

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5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Deng, Jiewen Wang, Jiarui Liu, Yu Wang, Yi Nanjing China Southeast University School of Electrical Engineering Nanjing China State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

The current rapid development and large number of applications of electric vehicles make it necessary to further strengthen the research on the state sensing and demand responsiveness of electric vehicles for residential measurements. Based on the non-intrusive load monitoring technology and deep learning algorithm, the user's power data is processed to obtain the start and end time of possible EV charging behavior, and then the user's power magnitude data and the obtained possible charging start and end time data are used as the input data of BP neural network to identify the EV charging behavior and establish the load sensing model of residential EVs. Based on the load perception model of electric vehicles, we identify the electric load data of residential measurement, obtain the charging status information such as power and electricity of electric vehicles of users, and use the status information as the data base to evaluate the demand response capability of residential measurement electric vehicles. Finally, the simulation modeling of the above method shows that the method can identify the charging status of electric vehicles more accurately and effectively evaluate the ability of residential measurement electric vehicles to participate in demand response. © 2022 IEEE.

关键词： Electric vehicles

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Analysis of the Status and the Prospects of Pilot protection in Distribution Network Based on 5G Communication 1

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6th PURPLE MOUNTAIN FORUM on smart grid protection and control, PMF2021

ISBN: (数字)9789811671562

ISBN: (纸本)9789811671555

With the massive access of new energy resources, distribution network urgently needs to popularize the principle of pilot protection. As a suitable data transmission channel at present, 5G communication technology still has the problem of time delay and its jitter, which also directly affects the data synchronization method of pilot protection. On the basis of analyzing the composition of 5G time delay and reasons for its jitter, this paper first summarizes the current methods to alleviate this problem and proposes a new solution to deal with it, namely regional ad hoc network technology based on 5G CPEs. Secondly, after elaborating the advantages and disadvantages of data synchronization and self-synchronization technology based on 5G communication, in order to cooperate with regional ad hoc network technology based on 5G CPEs, the improved ping-pong time synchronization method is proposed. Thirdly, the principle of pilot protection based on waveform similarity is explained in detail, which has good performance of anti-synchronization error and anti-data packet loss. And then, the data transmission security and 5G data traffic problem are analyzed. Finally, the overall communication strategy of the regional distribution network based on 5G communication is proposed, and several suggestions for the development of the pilot protection of distribution network based on 5G are proposed. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Time delay

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Design and control Method of Power Conversion System for Emergency Power Supply 6

Design and Control Method of Power Conversion System for Eme...

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6th IEEE Information Technology and Mechatronics Engineering Conference, ITOEC 2022

作者： Chen, Jinyu Li, Zhicheng Fan, Yuanliang Li, Chao State Grid Fujian Electric Power Research Institute Fuzhou350007 China Fujian Key Laboratory of Protection and Operation Control for Smart Grid Fuzhou350007 China

ISBN: (纸本)9781665431859

Power conversion system is the key equipment to realize two-way energy transfer between energy storage battery and AC power grid. This paper introduces a design and control method of power conversion system for emergency power supply. The power conversion system can select grid connected operation or independent on load operation to meet the multi scenario application requirements of emergency power supply site. During grid connected operation, the input power is controlled by controlling the input current, and then the output voltage at the DC side is controlled. During independent load operation, the load voltage and frequency are controlled by controlling the output voltage amplitude and frequency of the converter. The proposed constant voltage current limiting control strategy can maintain the DC bus voltage near the reference value and improve the reliability of battery charge and discharge. © 2022 IEEE.

关键词： Electric power supplies to apparatus

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The Commonality of Economic Dispatch Models Based on Scenario/Interval 7

The Commonality of Economic Dispatch Models Based on Scenari...

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7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023

作者： Wang, Yishen Wei, Renjie Sun, Fengbin Zhang, Ruihan Yao, Tiechui Ren, Lan State Grid Smart Grid Research Institute Co Ltd Future Science Park Beijing China State Grid Smart Grid Research Institute Co Ltd Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China

ISBN: (纸本)9798350345094

With the increasing penetration of renewable energy, how to maximize the acceptance of renewable energy on the basis of satisfying the economy security and reliability of the power system is an urgent problem to be solved. In this area, mathematical optimization methods such as robust optimization and stochastic optimization are generally used to construct models based on different uncertainty descriptions. Previous studies have shown that robust optimization has high computational efficiency but conservative results, while stochastic optimization has low computational efficiency but accurate results. Therefore, different studies will choose suitable methods based on the characteristics of the models to be constructed. However, existing studies have not thoroughly discussed whether there is a connection between the two methods. This paper first proposes an economic dispatch model based on scenario considering the admissible region of net load, and introduces a new affine strategy to transform this model into a deterministic form. Secondly, based on further exploration of the characteristics of economic dispatch models based on scenario/interval, the paper concludes that the two models are common when they are sufficiently precise. Finally, the correctness of the conclusion is verified on the IEEE-RTS system. © 2023 IEEE.

关键词： Computational efficiency

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