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2020 International Conference on Smart Grid and Energy Engineering, SGEE 2020

作者： He, Ruxun Wang, Shouxiang Zhang, Chunyu Ma, Qi Key Laboratory of Smart Grid of Ministry of Education Tianjin University Tianjin300072 China Tianjin Key Laboratory of Power System Simulation and Control Tianjin University Tianjin300072 China State Grid Tianjin Electric Power Company Tianjin300010 China

In order to obtain more output power, maximum power point tracking (MPPT) control technology is usually designed to track the maximum power of photovoltaic (PV) array. The traditional power disturbance observation method tends to cause power oscillation loss, so an adaptive variable step algorithm is presented to balance the tracking accuracy and speed of PV system. Different from off-line simulation, the overall model is built on FPGA to complete the real time digital realization of MPPT control for PV system. Finally, the model is simulated and verified by ModelSim software. The experimental results show that the system can track the maximum power more quickly and accurately in real time. © Published under licence by IOP Publishing Ltd.

关键词： Field programmable gate arrays (FPGA)

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Optimized functional design and simulation study of the fault line selection devices for non-solidly earthed network based on RTDS 9

Optimized functional design and simulation study of the faul...

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9th China International Conference on Electricity Distribution, CICED 2021

作者： Haiqing, Cai Qi, Guo Zhida, Huang Shiping, Liu Wencong, Wu Jiang, Yu Libin, Huang Zebing, Shi Shuyong, Li Electric Power Research Institute China Southern Power Grid State Key Laboratory of HVDC China National Energy Power Grid Technology R&D Centre Guangzhou510663 China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou510663 China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou510663 China Electric Power Research Institute of State Grid Jiangxi Electric Power Company Nanchang330096 China CSG Power Dispatch Control Center Guangzhou510663 China

ISBN: (纸本)9781728192291

The action accuracy of the fault line selection device is of great significance for ensuring the safe operation of the power system and personal safety. In view of the current imperfect function and the low accuracy of the small current grounding line selection device, the function of line selection of the device is further optimally designed and studied, and the post-acceleration and wheel-cutting functions are put forward and realized. The RTDS simulation model of non-solidly earthed network is established and connected with the actual grounding line selection device to form a closed-loop real-time simulation testing system. By setting up various test items, different types of ground fault test of non-solidly earthed net-work are carried out. The results of simulation show the accuracy of the line selection function, which provides important technical guidance for the implementation of the fault line selection device. © 2021 IEEE.

关键词： Electric grounding

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An Efficient power system Risk Identification Method Considering PMU Bad Data

An Efficient Power System Risk Identification Method Conside...

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Sustainable power and Energy Conference (iSPEC)

作者： Yin Wang Jieling Li Mingshun Liu Dongxu Chang Lingzi Zhu Liweiyong Guo Power Dispatching Control Center of Guizhou Power Grid Co. Ltd Guiyang China School of Electrical Engineering Chongqing University Chongqing China CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China

The phasor measurement unit (PMU) is widely employed in modern power systems, which enables real-time power system status monitor and risk identification. However, the bad data caused by PMU failure may mislead the risk identification. This paper proposes an efficient power system risk identification method considering PMU bad data. First, this paper describes the risk identification problem based on the analysis of the characteristics of PMU bad data and the power system contingency events. Then, the Teager-Kaiser energy operator with the 3Sigma criterion is proposed for the initial PMU anomaly data screening. Next, based on the difference between the bad data and the contingency events, the Pearson correlation coefficient is adopted for the calculation of the spatial similarity. Finally, a local outlier probability algorithm is presented to analyze the metrics. Case studies are carried out on IEEE 39 and IEEE 118 systems. Results demonstrate that the proposed method has an efficient risk identification accuracy with PMU abnormal data.

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Dynamic Security Evaluation Method for power systems Considering Cascading Failures

Dynamic Security Evaluation Method for Power Systems Conside...

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IEEE Conference on Energy Internet and Energy system Integration (EI2)

作者： Ren Liu Xingye Xu Wei Du Kaishun Xiahou Yihua Zhu Dongxu Chang Hengdao Guo CSG Key Laboratory for Power System Simulation Electric Power Research Institute of China Southern Power Grid Guangzhou China School of Electric power engineering South China University of Technology Guangzhou China State Key Laboratory of HVDC Electric Power Research Institute of China Southern Power Grid Guangzhou China National Energy Power Grid Technology R&D Centre China Southern Power Grid Guangzhou China Guangdong Provincial Key Laboratory of China Southern Power Grid Intelligent Operation and Control for New Energy Power System Guangzhou China

With the increasing level of informatization and interconnection in the electric power system, the risk of external attacks on power systems is increasing. In response to the drawbacks of traditional static security assessment methods, this paper establishes two security metrics, which are voltage and power flow amplitude deviation security metric and power flow entropy security metric. Based on these security metrics, a dynamic security evaluation model that considers cascading failure is proposed. simulation results demonstrate that the proposed security metrics can effectively reflect the security of cascading failure propagation, thereby providing valuable insights for decision-making by power system operators.

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A New SOC Distribution Synergy Method for Capacity Configuration of Flywheel Energy Storage in Primary Frequency Regulation

SSRN

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SSRN 2024年

作者： Hong, Feng Wei, Kuanchang Ji, Weiming Hao, Junhong Fang, Fang Liu, Jizhen The State Key Laboratory of Alternate Electric Power System with Renewable Energy Sources North China Electric Power University Beijing102206 China School of Control and Computer Engineering North China Electric Power University Beijing102206 China

Energy storage systems, coupled with power sources, are applied as an important means of frequency modulation support for large-scale grid connection of new energy. Flywheel energy storage systems (FESS) are considered short-term energy storage solutions due to their capacity for rapid and efficient energy storage and release. However, the power output characteristic of flywheels is potentially correlated to the state of charge (SOC) in the process of continuous operation while the SOC distribution would be attributed to the output power and duration of the flywheel. This study theoretically developed analytical correlations between SOC distribution and flywheel dynamic characteristics on statistical performance based on a cross-entropy method under wide range sampling scenarios of SOC. The results demonstrate that various operation states of FESS have a disparity effect on the statistical performance of modules. A SOC management and capacity configuration method considering continuous operation states is proposed, and the results illustrate that the capital expenditure of capacity configuration cuts approximately 8.2% attaining the SOC stability under the homogenous frequency modulation scenario. Therefore, capacity configurations of FESS can effectively compensate for the capital loss caused by detrimental SOC so that the cross-entropy correlation method conducted in series has the capacity advantages. © 2024, The Authors. All rights reserved.

关键词： Frequency modulation

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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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Distribution Network Topology Identification Based on Time Series Voltage Mutual Information and Probability Density Function

Distribution Network Topology Identification Based on Time S...

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China International Electrical and Energy Conference (CIEEC)

作者： Xiang Lin Wei Cong Chenyan Diao Xiaofei Shao Chunhua Lin Xiaochen Shan Key Laboratory of Power System Intelligent Dispatch and Control (Shandong University) Jinan China State Grid Liaoning Electric Power Company Limited Dalian Power Supply Company line 2-name of organization acronyms acceptable Dalian China

ISBN: (数字)9798350359558

ISBN: (纸本)9798350359565

Recognition of distribution network topology is usually based on switching and node related data. It is difficult to frequently interact with multi-dimensional and real-time data, but the reliability of the identification is not high only by uploading the switching quantity. In this paper, a topology identification method based on node voltage magnitude is investigated to accurately recognize the topology of distribution networks. First., take the example of a radial distribution network., mutual information is used to analyze the similarity of two nodes' timing voltages. Then., probability density distribution curves are used to determine whether multiple nodes are in the same branch. Next., the topology identification process is proposed: monitoring whether the topology is changed., determining which branch is disconnected., determining the exact location of the breakpoint., verifying whether the switch is correct., and reconstructing the topology. Finally., the IEEE33 node system is taken as an example and simulated in MATLAB for verification. The topology derived from the identification is accurate., proving the effectiveness of the method.

关键词： Voltage measurement Network topology Density measurement Estimation Distribution networks Switches Topology

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Operation Level Evaluation and Development Path Planning of Intelligent Distribution Network in Multiple Dimensions

Operation Level Evaluation and Development Path Planning of ...

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power and Electrical Engineering (ACPEE), 5th Asia Conference on

作者： Yibo Lv Li Lin Wenmin Ding Tengzhi Wang Shaojie Qu Zhonghui Gao State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources North China Electric Power University Beijing China Electric Power Control Center State Grid Jilin Electric Power Company Changchun Jilin

With the adjustment of energy structure and the increase of uncertainty source load, the physical structure of the distribution network becomes more complex, and its intelligent and low-carbon operation face greater challenges. In addition, business and information flows of the distribution network have diversified and grown more complicated, placing more demands on the dispatching department's capacity for management and data collecting. It is challenging to evaluate the distribution network's overall operational status since its physical infrastructure and information system are continually being updated and changed. In order to meet the actual engineering needs and consider the intelligent development of the distribution network, it is important to build an evaluation system of the smart distribution network operation level from different dimensions. Firstly, a systematic analysis of the smart distribution network operation is carried out from three dimensions: physical, information and social, and an evaluation index system of the smart distribution network operation level is constructed. On this premise, a comprehensive evaluation method based on normal gray cloud clustering is proposed, and the distribution network development form is divided. Finally, the actual dispatching of the distribution network is used as an example to evaluate its current operation level, determine the division of the distribution network development form under each dimension, and provide path guidance for the balanced development of the smart distribution network.

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Surface-enhanced Raman scattering for mixing state characterization of individual fine particles during a haze episode in Beijing,China

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Journal of Environmental Sciences 2021年第6期33卷 216-224页

作者： Hui Chen Fengkui Duan Jingjing Du Ranhao Yin Lidan Zhu Jinlu Dong Kebin He Zhenli Sun Suhua Wang MOE Key Laboratory of Resources and Environmental System Optimization College of Environmental Science and EngineeringNorth China Electric Power UniversityBeijing 102206China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China State Key Laboratory of Environmental Chemistry and Ecotoxicology Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China Guangdong Provincial Key Laboratory of Petrochemcial Pollution Processes and Control School of Environmental Science and EngineeringGuangdong University of Petrochemical TechnologyMaoming 525000China

The nondestructive characterization of the mixing state of individual fine particles using the traditional single particle analysis technique remains a *** this study,fine particles were collected during haze events under different pollution levels from September 5 to 112017 in Beijing,China.A nondestructive surface-enhanced Raman scattering(SERS)technique was employed to investigate the morphology,chemical composition,and mixing state of the multiple components in the individual fine *** image and SERS spectral analysis results show that soot existing in the form of opaque material was predominant during clear periods(PM_(2.5)≤75μg/m^(3)).During polluted periods(PM_(2.5)>75μg/m^(3)),opaque particles mixed with transparent particles(nitrates and sulfates)were generally *** classical least squares analysis further identified the relative abundances of the three major components of the single particles:soot(69.18%),nitrates(28.71%),and sulfates(2.11%).A negative correlation was observed between the abundance of soot and the mass concentration of PM_(2.5).Furthermore,mapping analysis revealed that on hazy days,PM_(2.5)existed as a core-shell structure with soot surrounded by nitrates and *** mixing state analysis method for individual PM_(2.5)particles provides information regarding chemical composition and haze formation mechanisms,and has the potential to facilitate the formulation of haze prevention and control policies.

关键词： PM_(2.5) Surface-enhanced Raman scattering Individual fine particle Nitrate Sulfate Soot

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Research on Leakage Inductance and Eddy Current Loss of Nanocrystalline High-Frequency Transformers 26

Research on Leakage Inductance and Eddy Current Loss of Nano...

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

作者： Liu, Yang Liu, Xue Yin, Zhenhuan Dong, Kan Cui, Dongdong Ma, Chi State Key Laboratory for Traction and Control System of EMU and Locomotive China Academy of Railway Science Corporation Limited Beijing China Key Laboratory of Power Electronics and Electric Drive Institute of Electrical Engineering Chinese Academy of Sciences China University of Chinese Academy of Sciences School of Electronic Electrical and Communication Engineering Beijing China

ISBN: (纸本)9798350317589

High-frequency transformers are a vital component of isolated DC/DC converters, and its leakage inductance can be adjusted by changing the winding method of the two-phase windings. Nanocrystalline magnetic cores have been widely applied due to their advantages in high-saturation flux and high magnetic permeability. However, their quite high electrical conductivity can easily lead to appreciable eddy current loss. This paper investigates the mechanism behind the eddy current loss caused by leakage flux by varying the number of windings cross turns, and verifies through simulation that the eddy current loss of nanocrystalline high-frequency transformers increases with increasing leakage inductance. © 2023 IEEE.

关键词： Inductance

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