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20th International Conference on Optical Communications and Networks, ICOCN 2022

作者： Zheng, Xuemei Tang, Longfei Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Jilin China School of Electrical Engineering Northeast Electric Power University Jilin China

ISBN: (数字)9781665458986

ISBN: (纸本)9781665458986

Because the antenna is an important passive component in the RF front-end of mobile communication, some studies have found that the combination of EBG and antenna can effectively improve the performance of the antenna. In this paper, a dual band microstrip antenna based on EBG structure is designed, which improves the gain of the antenna, and the resonant frequencies are 2.4 GHz and 3.5 GHz. After simulation, the return loss at two resonant frequencies is less than-19.5 dB, which basically meets the design requirements. © 2022 IEEE.

关键词： Natural frequencies

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power system transient stability margin assessment using steady-state information

Power system transient stability margin assessment using ste...

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2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

作者： An, Jun Mu, Gang Li, Zonghan Liu, Daowei Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Jinlin China China Electric Power Research Institute Beijing China

ISBN: (纸本)9781728135205

Transient stability margin assessment provides power grid dispatchers with important criteria for decision-making and preventive control. The computational efficiency of online transient stability margin assessment can be largely improved with the use of steady-state information. In this paper, we propose a novel methodology for online stability margin assessment. A multi-swing based strategy that overcomes the false identification issues of previous methods is firstly illustrated. Based on this improved strategy, a composite neural network is constructed and trained offline to establish the mapping relationship between steady-state characteristics and generator transient stability indices. Finally, the trained neural network is utilized for online transient stability margin assessment. The major advantage of the proposed methodology is that we only use steady-state information in the online assessment process therefore system transient stability margin under worst disturbances can be fast and accurately predicted, providing system dispatchers with adequate time for preventive control. The validity of the proposed methodology is demonstrated in the IEEE 39-bus system. © 2019 IEEE.

关键词： Computational efficiency

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Model Predictive control Strategy of Multi-Port Interline DC power Flow controller

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energy Engineering 2023年第10期120卷 2251-2272页

作者： He Wang Xiangsheng Xu Guanye Shen Bian Jing Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin132012China Marketing Department State Grid Jilin Electric Power Co.Ltd.Changchun130061China

There are issues with flexible DC transmission system such as a lack of control freedom over power *** order to tackle these issues,a DC power flow controller(DCPFC)is incorporated into a multi-terminal,flexible DC power *** recent years,a multi-port DC power flow controller based on a modular multi-level converter has become a focal point of research due to its simple structure and robust *** work proposes a model predictive control(MPC)strategy for multi-port interline DC power flow controllers in order to improve their steady-state dynamic ***,the mathematical model of a multi-terminal DC power grid with a multi-port interline DC power flow controller is developed,and the relationship between each regulated variable and control variable is determined;The power flow controller is then discretized,and the cost function and weight factor are built with numerous control *** module sorting method and nearest level approximation modulation regulate the power flow controller;Lastly,theMATLAB/Simulink simulation platformis used to verify the correctness of the establishedmathematicalmodel and the control performance of the suggestedMPC ***,it is demonstrated that the control strategy possesses the benefits of robust dynamic performance,multiobjective control,and a simple structure.

关键词： DC power flow controller model predictive control modular multi-level converter control strategy dynamic performance

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A Distributed Photovoltaics Ordering Grid-Connected Method for Analyzing Voltage Impact in Radial Distribution Networks

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energy Engineering 2024年第10期121卷 2937-2959页

作者： Cuiping Li Kunqi Gao Can Chen Junhui Li Xiaoxiao Wang Yinchi Shao Xingxu Zhu Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin132012China State Grid Jibei Electric Power Co. Ltd.Electric Power Research InstituteBeijing100045China

In recent years,distributed photovoltaics(DPV)has ushered in a good development situation due to the advantages of pollution-free power generation,full utilization of the ground or roof of the installation site,and balancing a large number of loads ***,under the background of a large-scale DPV grid-connected to the county distribution network,an effective analysis method is needed to analyze its impact on the voltage of the distribution network in the early development stage of ***,a DPV orderly grid-connected method based on photovoltaics grid-connected order degree(PGOD)is *** method aims to orderly analyze the change of voltage in the distribution network when large-scale DPV will be ***,based on the voltagemagnitude sensitivity(VMS)index of the photovoltaics permitted grid-connected node and the acceptance of grid-connected node(AoGCN)index of other nodes in the network,thePGODindex is constructed to determine the photovoltaics permitted grid-connected node of the current photovoltaics grid-connected state ***,a photovoltaics orderly grid-connected model with a continuous updating state is constructed to obtain an orderly DPV grid-connected *** simulation results illustrate that the photovoltaics grid-connected order determined by this method based on PGOD can effectively analyze the voltage impact of large-scale photovoltaics grid-connected,and explore the internal factors and characteristics of the impact.

关键词： Radial distribution network distributed photovoltaics photovoltaics grid-connected order degree electrical distance photovoltaics action area

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Research on Asymmetric Fault Location of Wind Farm Collection system Based on Compressed Sensing

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energy Engineering 2023年第9期120卷 2029-2057页

作者： Huanan Yu Gang Han Hansong Luo He Wang Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of EducationNortheast Electric Power UniversityJilin132012China Qinhuangdao Power Supply Company State Grid Jibei Electric Power Co.Ltd.Qinhuangdao066099China

Aiming at the problem that most of the cables in the power collection systemof offshore wind farms are buried deep in the seabed,whichmakes it difficult to detect faults,this paper proposes a two-step fault location method based on compressed sensing and ranging *** first step is to determine the fault zone through compressed sensing,and improve the datameasurement,dictionary design and algorithmreconstruction:Firstly,the phase-locked loop trigonometric functionmethod is used to suppress the spike phenomenon when extracting the fault voltage,so that the extracted voltage valuewillnot have a large error due to the voltage ***,theλ-NIM dictionary is designed by using the node impedancematrix and the fault location coefficient to further reduce the influence of pseudo-fault ***,the CoSaMP algorithmis improved with the generalized Jaccard coefficient to improve the reconstruction *** second step is to use the ranging equation to accurately locate the asymmetric fault of the wind farm collection system on the basis of determining the fault *** simulation results show that the proposedmethod ismore accurate than the compressedsensingmethod andimpedancemethod in fault section location and fault location accuracy,the relative error is reduced from 0.75%to 0.4%,and has a certain anti-noise ability.

关键词： Offshore wind farm convergence system compression sensing ranging equation fault location

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Two-Stage Planning of Distributed power Supply and energy Storage Capacity Considering Hierarchical Partition control of Distribution Network with Source-Load-Storage

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energy Engineering 2024年第9期121卷 2389-2408页

作者： Junhui Li Yuqing Zhang Can Chen Xiaoxiao Wang Yinchi Shao Xingxu Zhu Cuiping Li Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin132012China State Grid Jibei Electric Power Co. Ltd.Electric Power Research InstituteBeijing100045China

Aiming at the consumption problems caused by the high proportion of renewable energy being connected to the distribution network,it also aims to improve the power supply reliability of the power system and reduce the operating costs of the power *** paper proposes a two-stage planning method for distributed generation and energy storage systems that considers the hierarchical partitioning of ***,an electrical distance structural index that comprehensively considers active power output and reactive power output is proposed to divide the distributed generation voltage regulation domain and determine the access location and number of distributed power ***,a two-stage planning is carried out based on the zoning *** the phase 1 distribution network-zoning optimization layer,the network loss is minimized so that the node voltage in the area does not exceed the limit,and the distributed generation configuration results are initially determined;in phase 2,the partition-node optimization layer is planned with the goal of economic optimization,and the distance-based improved ant lion algorithm is used to solve the problem to obtain the optimal distributed generation and energy storage ***,the IEEE33 node systemwas used for *** results showed that the voltage quality was significantly improved after optimization,and the overall revenue increased by about 20.6%,verifying the effectiveness of the two-stage planning.

关键词： Zoning control two-stage planning site selection and capacity determination optimized scheduling improved ant lion algorithm

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Large-Scale Multi-Object Rearrangement

Large-Scale Multi-Object Rearrangement

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Huang, Eric Jia, Zhenzhong Mason, Matthew T. State Grid Liaoning Electric Power Co Ltd Shenyang China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China

ISBN: (纸本)9781538660263

This paper describes a new robotic tabletop rearrangement system, and presents experimental results. The tasks involve rearranging as many as 30 to 100 blocks, sometimes packed with a density of up to 40%. The high packing factor forces the system to push several objects at a time, making accurate simulation difficult, if not impossible. Nonetheless, the system achieves goals specifying the pose of every object, with an average precision of +/- 1 mm and +/- 2 degrees. The system searches through policy rollouts of simulated pushing actions, using an Iterated Local Search technique to escape local minima. In real world execution, the system executes just one action from a policy, then uses a vision system to update the estimated task state, and replans. The system accepts a fully general description of task goals, which means it can solve the singulation and separation problems addressed in prior work, but can also solve sorting problems and spell out words, among other things. The paper includes examples of several solved problems, statistical analysis of the system's behavior on different types of problems, and some discussion of limitations, insights, and future work.

关键词： Planning Task analysis Grasping Robots Annealing Trajectory Markov processes

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Robust Voltage control Considering Uncertainties of renewable Energies and Loads via Improved Generative Adversarial Network

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Journal of modern power systems and Clean energy 2020年第6期8卷 1104-1114页

作者： Qianyu Zhao Wenlong Liao Shouxiang Wang Jayakrishnan Radhakrishna Pillai the Key Laboratory of Smart Grid of Ministry of Education and Tianjin Key Laboratory of Power System Simulation and Control Tianjin UniversityTianjinChina the Department of Energy Technology Aalborg UniversityAalborgDenmark

The fluctuation of output power of renewable energies and loads brings challenges to the scheduling and operation of the distribution *** this paper,a robust voltage control model is proposed to cope with the uncertainties of renewable energies and loads based on an improved generative adversarial network(IGAN).Firstly,both real and predicted data are used to train the IGAN consisting of a discriminator and a *** noises sampled from the Gaussian distribution are fed to the generator to generate a large number of scenarios that are utilized for robust voltage control after scenario ***,a new improved wolf pack algorithm(IWPA)is presented to solve the formulated robust voltage control model,since the accuracy of the solutions obtained by traditional methods is *** simulation results show that the IGAN can accurately capture the probability distribution characteristics and dynamic nonlinear characteristics of renewable energies and loads,which makes the scenarios generated by IGAN more suitable for robust voltage control than those generated by traditional ***,IWPA has a better performance than traditional methods in terms of convergence speed,accuracy,and stability for robust voltage control.

关键词： Robust voltage control uncertainty generative adversarial network wolf pack algorithm

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Evaluation Method of Distributed Photovoltaic Carrying Capacity in Distribution Network Based on Voltage Sensitivity Ranking 5

Evaluation Method of Distributed Photovoltaic Carrying Capac...

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5th IEEE International Electrical and energy Conference, CIEEC 2022

作者： Yu, Haozheng Li, Ke Guo, Xinzhi Quan, Shaoli Zhao, Hanjie Zhu, Xingxu Li, Cuiping Zhu, Wenchao Yan, Jiaqi Gao, Kunqi Research Institute State Grid Henan Economic Zhengzhou China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

With the increase of the proportion and dispersion of distributed PV connected to the distribution network, the possibility of extreme PV configuration is decreasing. However, the traditional bearing capacity evaluation includes a large number of extreme photovoltaic configuration scenarios, and the calculation results are too conservative. At the same time, the traditional evaluation method ignores the limitation of reverse power transmission to the main network at the time of large photovoltaic generation in the distribution network. For the above problems, a distributed photovoltaic carrying capacity evaluation method based on voltage sensitivity ranking is proposed. The method includes access scheme modification layer and index inspection layer: the voltage sensitivity ranking method is introduced into the access scheme modification layer to optimize the access scheme in each iteration and eliminate the extreme value distribution of photovoltaic. In the index inspection layer, the voltage deviation index and reverse power transmission of high proportion distributed photovoltaic distribution network are introduced to judge the rationality of the optimization scheme and feed back to the modification layer of the access scheme. The two-layer iteration finally obtains the calculation results of the distributed photovoltaic carrying capacity of the network. This method is closer to reality, reduces the conservatism of calculation and improves the adaptability of calculation. It has certain guiding significance for the photovoltaic planning and construction of the actual distribution network. © 2022 IEEE.

关键词： Bearing capacity

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Evaluation Method of Distributed Photovoltaic Admission Capability Based on Voltage Sensitivity and Multi-Scenario power Flow simulation 5

Evaluation Method of Distributed Photovoltaic Admission Capa...

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5th IEEE International Electrical and energy Conference, CIEEC 2022

作者： Huangfu, Xiaowen Li, Qiuyan Ding, Yan Guo, Yong Zhao, Hanjie Li, Cuiping Sun, Dapeng Wang, Dongbo Hou, Xiangchen Fan, Jiangchuan Research Institute State Grid Henan Economic Zhengzhou China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

Under the Background of 'Carbon peaking and Carbon neutrality' goals, with the rapid development of clean energy, power system is gradually transforming to low-carbon. The proportion of distributed photovoltaic in the distribution network increases rapidly, and the uncertainty of its output and the randomness of the access scheme can easily lead to dramatic changes in line power flow and bring about operational safety problems. Aiming at the problem that high proportion of distributed photovoltaic access affects the safe and stable operation of distribution network, this paper proposes a distributed photovoltaic acceptance ability evaluation method based on voltage sensitivity and multi-scenario power flow simulation. The method uniformly generates the possible access scheme of distributed photovoltaic in the network and simulates the multi-power flow. Finally, by comparing the peak voltage of each scheme, the distributed photovoltaic carrying capacity of distribution network is evaluated. Taking IEEE 14-bus system as an example, the results show that the proposed method can effectively solve the calculation problem of distributed photovoltaic carrying capacity of distribution network. © 2022 IEEE.

关键词： Electric load flow

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