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International Conference on Electrical Machines and Systems (ICEMS)

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

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%.

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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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power and Electrical Technology Conference (APET), Asia

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

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.

关键词： Renewable energy sources Low voltage Uncertainty Stochastic processes Switches Distribution networks Programming

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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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power and Electrical Technology Conference (APET), Asia

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

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.

关键词： Analytical models power supplies System dynamics power distribution Distribution networks Carbon dioxide Companies

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Continuous Commutation Failure Suppression Method Based on Self-adaptive Auto-disturbance Rejection Proportional-integral controller for HVDC Transmission System

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Journal of Modern power Systems and Clean Energy 2020年第6期8卷 1178-1187页

作者： Tonghua Wu Yuping Zheng Qipu Liu Guoqiang Sun Xiaohong Wang Xindong Li the College of Energy and Electrical Engineering Hohai UniversityNanjing 210098China NARI Group Corporation Nanjing 211106China State Key Laboratory of Smart Grid Protection and Control Nanjing 211106China

Once an asymmetrical fault occurs on the AC side of the receiving-end of a high-voltage direct current(HVDC)transmission system,the current reference will be affected by the control regulation on the DC inverter side and the commutation voltage *** this case,the advance firing angle will fluctuate periodically,causing security threats to the *** the fault cannot be cleared in time,the effect may be even more ***,the traditional proportional-integral(PI)controller cannot effectively suppress the periodic components in the input error signal,which is an important cause of continuous commutation ***,the system requires more time to recover from the *** by this,a selfadaptive auto-disturbance rejection PI controller is proposed in this *** controller has the advantages of fast response speed and strong anti-interference ability of the auto-disturbance rejection *** one hand,it can automatically adjust PI,and the parameters can maintain the system’s adaptive *** the other hand,the discretization process satisfies the computer simulation *** applying the proposed controller to a system under constant current control and extinction angle control,the dynamic response speed can be improved and the robust performance of the system can be ensured when dealing with a wide range of ***,simulation results show that the proposed algorithm can effectively suppress the continuous commutation failure of DC transmission systems.

关键词： High-voltage direct current(HVDC)transmission continuous commutation failure periodic fluctuation self-adaptive auto-disturbance rejection proportional-integral(PI)controller computer simulation

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Short-Term power Forecasting for Wind power Generation Under Extreme Weather Conditions

Short-Term Power Forecasting for Wind Power Generation Under...

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IEEE/IAS Industrial and Commercial power System Asia (I&CPS Asia)

作者： Yuexin Song Yizhi Chen Chenghong Tang Wei Wang Hao Xiao Wei Pei Yanhong Yang Grid Technology Research Group Institute of Electrical Engineering Chinese Academy of Sciences Beijing China State Key Laboratory of Smart Grid Protection and Control NARI Technology Co. Ltd NARI Group Corporation (State Grid Electric Power Research Institute) Nanjing China Chinese Academy of Sciences Institute of Electrical Engineering Beijing China

Extreme weather poses a great challenge to the safe operation of wind power and new power systems dominated by wind power. Providing accurate wind power prediction will be an effective response. For this reason, this paper proposed a short-term power forecasting for wind power generation under extreme weather conditions. Firstly, the relationship between wind speed and wind turbine output power is analyzed and a wind power generation model is established. Then, the Long Short-Term Memory Neural Network (LSTM) is applied to construct a short-term power prediction model for wind turbines, and establishes three models for wind turbine decommissioning under extreme weather. Moreover, the climbing control strategy of wind turbine is also investigated to guarantee the system safety, stability and operation economy. Finally, the numerical analysis is carried out on the wind farm consists of 28 wind turbines, the results verify the effectiveness and superiority of the proposed method.

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Remaining Useful Life Prognosis of power Semiconductor Devices Based on On-state Resistance Time Series Data and Deep Learning

Remaining Useful Life Prognosis of Power Semiconductor Devic...

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2023 7th International Conference on Electrical, Mechanical and Computer Engineering (ICEMCE)

作者： Xiaolong Zhang Lin Zheng Heng Tian Li Liu Qun Ma Huafeng Wang Chong Gao State Key Laboratory of Advanced Power Transmission Technology State Grid Smart Grid Research Institute Co. Ltd. Beijing China Beijing Kedong Power Control System Co. Ltd. Beijing China State Grid Electric Power Research Institute Co. Ltd. Nanjing China State Grid Zhoushan power supply company Zhoushan China

power semiconductor devices are the essential core components of modern power electronic equipment. Predicting the remaining useful life (RUL) of power semiconductor devices can help formulate reasonable maintenance strategies for power electronic equipment, thereby improving the availability of energy conversion systems. This article proposes a deep learning method for predicting the RUL of power semiconductor devices, which uses on-state resistance as a critical state parameter. A long short-term memory (LSTM) neural network (NN) model and a convolutional neural network (CNN) model are used to predict the on-state resistance time series data trend. NN models can predict a short section of future data with past data input. The RUL of power semiconductor devices is estimated through curve fitting based on past and predictive data. The proposed method is validated using the power MOSFET accelerated aging dataset from NASA, and the validation results show that the performance of the proposed method is superior to that of existing methods, such as extended Kalman filtering (EKF) and particle filtering (PF).

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Reliability assessment of power systems with wind farms considering correlations 4

Reliability assessment of power systems with wind farms cons...

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4th International Conference on Advanced Electronic Materials, Computers and Software Engineering, AEMCSE 2021

作者： Wu, Yuwei Wu, Hai Hu, Guo Zhihua, Xu Qi, Huang NARI Technology Development Co. Ltd. Nanjing211106 China Nari Group Corporation State Key Laboratory of Smart Grid Protection and Control Jiangsu Nanjing211106 China

ISBN: (纸本)9781665415965

Wind power has the characteristics of randomness and intermittent, with the increasing unit capacity of wind turbines and wind farm scale, it is urgent to study the impact on generation and transmission system reliability. In addition, there are different degrees of correlation among regional multiple wind farms because of their geographic proximity. When it comes to research on the influence on the power system reliability, the analysis result will be larger error without considering the correlation, which is optimistic for reliability assessment. Therefore, it is meaningful to take the correlation into account in wind power system reliability assessment. In this paper, IEEE-RTS 79 generation and transmission reliability test system is adopted to verify the reliability assessment of power systems with wind farms considering correlations. The experimental results show that adding wind turbines in the original power system, system reliability has been greatly improved;and the system has higher reliability with given the considering the correlation between wind farms. © 2021 IEEE.

关键词： Wind farm

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Two-Stage Low-Carbon Economic Dispatch of an Integrated Energy System Considering Flexible Decoupling of Electricity and Heat on Sides of Source and Load

SSRN

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SSRN 2024年

作者： Yang, Lijun Gao, Yejin Zhang, Pei Tan, Xiaolin An, Jiakun School of Electrical Engineering Yanshan University Qinhuangdao066004 China Key Laboratory of Power Electronics for Energy Conservation and Drive Control of Hebei Province Yanshan University Qinhuangdao066004 China Key Laboratory of Smart Grid Ministry of Education Tianjin University Tianjin300072 China Economic and Technological Research Institute of State Grid Hebei Electric Power Shijiazhuang050000 China

Under the goal of "double carbon", in order to enhance the level of new energy consumption, a low-carbon economic planning strategy with flexible decoupling of electricity and heat is proposed, by introducing a new type of electric-thermal coupling equipment on both sides of the source and load. Firstly, a wind power(WT) – power to ammonia(P2A) - CHP units - thermal power (TH) units joint operation strategy is proposed on the source side. This strategy realizes the conversion of abandoned wind to green ammonia to ammonia coal hybrid generation and the decoupled operation of CHP units. Secondly, A dynamic incentive demand response model is developed to meet the demand of high proportion distributed PV in situ consumption on the load side. The dynamic incentive price guides distributed power-to-heat load to change the response capacity, tracks the abandonment of wind and light, realizes the flexible conversion of power and heat load. On this basis, A two-stage thermoelectric decoupling model is established. In the day-ahead phase, the source-side electric-thermal-ammonia joint operation strategy is considered, and the electric and thermal energy supply plans are adjusted centrally;In the intra-day phase, the flexible adjustment range of power-to-heat devices and the heat load inertia on the load side are taken into account, and the electricity and heat planning strategies are adjusted in a distributed-centralised manner in conjunction with the source side. Finally, the results show that the proposed scheme can promote the absorption of wind and light, and can achieve the goal of low-carbon economic dispatch. © 2024, The Authors. All rights reserved.

关键词： Ammonia

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A Method for Locating Ground Faults in Distribution Network Based on Change of Longitudinal Current

A Method for Locating Ground Faults in Distribution Network ...

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2021 International Conference on control Science and Electric power Systems, CSEPS 2021

作者： Lei, Xia Hai, Wu Guo, Hu Song, Hu State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nanjing211106 China NARI Technology Development Co. Ltd. Jiangsu Nanjing211106 China

ISBN: (纸本)9781665426183

A new method for locating ground faults in distribution network was introduced by analysis of the characteristics of the ground fault for the isolated neutral system. The method by comparing the longitudinal current change of the adjacent measurement point to judge the ground fault location, and has verify it by building the simulation model on the PSCAD/EMTDC. The results show that the method has a strong ability of resistance to transition resistance. The specific implementation scheme was given based on the fault indicator which is widely used in distribution network at present. © 2021 IEEE.

关键词： Location

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Transient Stability Analysis of Paralleled grid-Forming Converters

Transient Stability Analysis of Paralleled Grid-Forming Conv...

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Energy, power and Electrical Engineering (EPEE), International Conference on

作者： Kexin Yang Yanhong Bao Feng Wu Xiancheng Ren Jinlong Zhang Nanjing Normal University NARI Technology Co. Ltd. Nanjing China State Key Laboratory of Smart Grid Protection and Control NARI Technology Co. Ltd. Nanjing China

Interaction exists in multiple grid-forming converter parallel systems, resulting in different transient stability issues between multiple converter systems and single converter under large disturbances. During the current limiting period, the external characteristics of the grid-forming converter become current source, which causes three different external characteristic models of parallel converter. In this study, three models of parallel system were established, and the effect of different coupling power directions was analyzed based on the power angle curve. Further, the influence of different parameters of converter was discussed and three different cases of converter transient stability due to interaction was revealed. The interaction between converters is mainly determined by the coupling power direction. When the external characteristics of the converters are the same, the coupling power direction is mainly determined by the power angle. When the external characteristics are different, the coupling power direction is determined by the current limiting strategy. The correctness of the theoretical analysis was verified based on the PSCAD platform.

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