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2024 7th International Conference on Mechanical, Electrical and Material Application, MEMA 2024

作者： Xin, Peiqi Wang, Hongtao Wang, Haobo Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

This study introduces a unique method employing the Multi-Agent Deep Deterministic Policy Gradient (MADDPG), a sophisticated deep reinforcement learning algorithm, for efficient voltage control in photovoltaic (PV) power distribution networks. The algorithm's design emphasizes minimizing the need for communication and effectively managing delays, which are pivotal in ensuring consistent and reliable control in environments with fluctuating renewable energy sources. In simulations using the IEEE-33 power distribution system, the research demonstrates the algorithm's ability to ensure stable and efficient network functioning, even under varying environmental and load conditions. This highlights its potential as a robust solution for modern and renewable energy-integrated power systems. © Published under licence by IOP Publishing Ltd.

关键词： Renewable energy

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Transient Overvoltage Quantitative Analysis Based on Short-Circui Ratio of New Energy Generation Stations 3

Transient Overvoltage Quantitative Analysis Based on Short-C...

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3rd Asia power and Electrical Technology Conference, APET 2024

作者： Wu, Yuhan Li, Yajie Shandong University Key Laboratory of Power System Intelligent Dispatch and Control The Ministry of Education Jinan China

ISBN: (纸本)9798350367690

With the increasing proportion of grid-connected renewable energy sources such as photovoltaic and wind power, the stability issues caused by large-scale development of new energy sources have become prominent. Among these issues, transient overvoltage is the primary constraint limiting the large-scale development of new energy sources. Studies have shown that the occurrence of transient overvoltage is closely related to the system strength of grid-connected points for new energy sources. The weaker the system strength, the greater the risk of stability problems such as transient overvoltage. The short-circuit ratio is an important indicator for assessing the grid strength of new energy integration points. Monitoring the short-circuit ratio can effectively evaluate the strength of the new energy station's integration into the system. Therefore, based on the short-circuit ratio of new energy generation stations, this paper quantitatively analyzes the relationship between the short-circuit ratio and transient overvoltage. In future research, the short-circuit ratio can be used as a constraint condition, with transient overvoltage as an indicator, to facilitate the determination of reactive power compensation solutions for high-proportion new energy integration systems. Finally, MATLAB/simulink simulations validate the accuracy of the analysis. © 2024 IEEE.

关键词： Wind power integration

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Sub-Synchronous Oscillation Suppression in Series-Compensated Grid-Connected Doubly-Fed Wind Turbines Utilizing Virtual Inductance on the Rotor Side 7

Sub-Synchronous Oscillation Suppression in Series-Compensate...

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7th IEEE International Electrical and Energy Conference, CIEEC 2024

作者： Wang, Haobo Wang, Hongtao Xin, Peiqi Song, Zhen Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9798350359558

To tackle the issue of Sub-Synchronous control Interaction (SSCI) in doubly fed wind turbines featuring series capacitor compensation, a novel approach is undertaken by creating an impedance model for the Doubly Fed Induction Generator (DFIG). This model utilizes a power outer-loop control method for decoupling, in alignment with IEEE standards. The study extensively examines the genesis and underlying causes of sub-synchronous oscillations. A novel rotor-side suppression strategy, featuring the integration of virtual inductance into the DFIG's rotor control loop, is proposed to mitigate oscillations induced by series-compensated transmission line parameters. Comparative analysis indicates that the inclusion of virtual inductance effectively quells sub-synchronous oscillations. Additionally, a Simulink-based grid-connected DFIG model is constructed, and time-domain simulations are conducted to validate the model's accuracy in predicting grid-connected sub-synchronous oscillations and confirm the efficacy of the proposed suppression technique. © 2024 IEEE.

关键词： Inductance

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GENERATIVE ADVERSARIAL NETWORKS FOR REMOTE SENSING IMAGE DEHAZING WITH COLOR FEATURE RESTORATION

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International Journal of Innovative Computing, Information and control 2025年第2期21卷 323-338页

作者： Zhao, Liquan Qin, Yuqing Jia, Yanfei Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University No. 169 Changchun Road Jilin132012 China College of Electric and Information Engineering Beihua University No. 3999 Beijing Road Jilin132013 China

Remote sensing images are often affected by atmospheric factors such as haze during the acquisition process, resulting in blurring and low contrast in the collected remote sensing images. This problem impacts the image quality, thereby affecting the analysis of remote sensing images. To mitigate the impact of haze on remote sensing images, a generative adversarial network is proposed. It comprises a generative network and an adversarial network. Firstly, a novel feature extraction module is designed to enhance the capability of extracting useful information from remote sensing images. It enables the network to focus more on regions with dense haze, allowing it to extract more important information while filtering out irrelevant details. Secondly, a residual attention module is designed which can allocate different weights based on varying haze density in the feature map. This module readjusts features outputted by the encoder, facilitating better image restoration. Thirdly, a multi-scale module is also incorporated to extract feature information across various image scales. Lastly, a color feature extraction module is designed to extract color features. The novel feature extraction module, residual attention module, multi-scale module, and color feature extraction module are utilized for constructing the generative network. Besides, an adversarial network is also designed to indirectly enhance the dehazing capability of the generative network. Synthetic and real datasets are used to test six different methods for dehazing remote sensing images, respectively. The proposed method achieves higher PSNR, SSIM, and lower MSE on the synthetic remote sensing dataset. On the other hand, it achieves lower PIQE, BRISQUE, and higher MetaIQA on the real remote sensing dataset. The proposed method has best performance in dehazing remote sensing images than other methods. © 2025, Int. J. Innov. Comput. Inf. control. All rights reserved.

关键词： Generative adversarial networks

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Study on Insulation Characteristics of Moisture in the Buffer Layer of 66 kV AC XLPE Cables 19th

Study on Insulation Characteristics of Moisture in the Buffe...

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19th Annual Conference of China Electrotechnical Society, ACCES 2024

作者： Cao, Kangyangyong Xing, Hongquan Huang, Dawei Wei, Zhenhao Liu, Shili State Grid Changchun Power Supply Company Jilin 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)9789819613861

To address the frequent failure issues caused by defects in the buffer layer of high-voltage cross-linked polyethylene (XLPE) cables, research on buffer layer has become a hot topic at present. This paper first introduces the input impedance model of the 66 kV cable buffer layer and the corrugated aluminum sheath. The water content can change its resistance and capacitance, thereby affecting the resistivity and dielectric constant. Secondly, the paper introduces the intrinsic principles of frequency domain dielectric spectroscopy technology, where changes in water content alter the relaxation time of the Debye model, thereby changing the dielectric loss factor. Then, by conducting resistance and capacitance measurement experiments on a 6 cm long cable buffer layer, the paper derives the resistivity and dielectric constant variation curves. Through dielectric loss factor measurement experiments, it derives the dielectric loss factor curve, demonstrating the correlation between water content and the dielectric loss factor. The paper concludes that the dielectric loss factor curve is more sensitive to insulation conditions at low frequencies. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Dielectric losses

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Study on the Effects of Moisture on Dielectric Loss and Capacitance Parameters of 66 kV AC XLPE Cable Insulation 19th

Study on the Effects of Moisture on Dielectric Loss and Capa...

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19th Annual Conference of China Electrotechnical Society, ACCES 2024

作者： Cao, Kangyangyong Xing, Hongquan Huang, Dawei Zong, Guanbo Liu, Shili State Grid Changchun Power Supply Company Jilin 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)9789819613861

Long-term operation or external forces may cause damage to the outer sheath of the cable, allowing moisture to enter the cable body and affecting the insulation and dielectric performance of the main XLPE insulation of the cable. For 66 kV cables, there are no clear values provided for the changes in the dielectric loss tangent and capacitance after water ingress into the main insulation. Using a self-built experimental platform, dielectric spectroscopy curves were plotted for the main insulation under 1 kV voltage, showing the variation of the dielectric loss tangent with water content and frequency. The unit capacitance changes of the main insulation due to moisture were also measured. The study indicates that at 0.01 Hz, when the water content in the main insulation increases from 0.86% to 1.29%, the dielectric loss tangent value changes by several times. Additionally, this value is not affected by the location of the moisture—whether it is accumulated, evenly distributed, or symmetrically distributed, the dielectric loss tangent remains unchanged. When the volumetric water content increases by 0.48%, the unit capacitance value increases by 0.8%. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Dielectric losses

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power Source Flexibility Margin Quantification Method for Multi-energy power systems Based on Blind Number Theory

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CSEE Journal of power and Energy systems 2023年第6期9卷 2321-2331页

作者： Bai Xiao Jialiang Wang Zhiwen Xiao Gangui Yan Ling Dong Maochun Wang Hongzhi Yang the Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin 132012China Chengde Power Supply Company State Grid Jibei Electric Power CompanyChengde 067000China State Grid Qinghai Electric Power Company Xining 810008China

The grid connection of a high proportion of re-newable energy generation increases the uncertainty in power ***,the flexibility margin of different energy sources needs to be quantified to cope with the uncertainty change and maintain the dynamic balance of power system *** this paper,first,the flexibility characteristics of source,net,load and power and load community(PLC)are *** dynamic equilibrium relationship among them is briefly ***,taking into full consideration the complex output characteristics of different energy sources and combining their respective flexibility characteristics,a quantitative model of the power source flexibility margin for thermal power,hydro-power,gas power and concentrating solar power is established.A quantitative model for a power source flexibility margin in PV and wind power based on blind number theory is ***,the calculation method of theoretical power generation capacity,which can reflect different characteristics of output power of various energy sources,is *** actual output power of each power source in each period is ***,a case study shows that the model and method can consider the operating characteristics of different types of power sources,and quickly and accurately quantify the adjustable range of flexibility margins of each power source at different periods of time,which can provide an important basis for evaluating the capacity of renewable energy consumption and the optimal operation of multi-energy power systems(MEPSs).

关键词： Load forecasting multi-energy power system power generation capacity power source flexibility margin

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CAEFusion: A New Convolutional Autoencoder-Based Infrared and Visible Light Image Fusion Algorithm

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Computers, Materials & Continua 2024年第8期80卷 2857-2872页

作者： Chun-Ming Wu Mei-Ling Ren Jin Lei Zi-Mu Jiang Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of EducationSchool of Electrical EngineeringNortheast Electric Power UniversityJilin132012China School of Electrical Engineering Northeast Electric Power UniversityJilin132012China School of Electronic Information Engineering Bozhou UniversityBozhou236800China

To address the issues of incomplete information,blurred details,loss of details,and insufficient contrast in infrared and visible image fusion,an image fusion algorithm based on a convolutional autoencoder is *** region attention module is meant to extract the background feature map based on the distinct properties of the background feature map and the detail feature map.A multi-scale convolution attention module is suggested to enhance the communication of feature *** the same time,the feature transformation module is introduced to learn more robust feature representations,aiming to preserve the integrity of image *** study uses three available datasets from TNO,FLIR,and NIR to perform thorough quantitative and qualitative trials with five additional *** methods are assessed based on four indicators:information entropy(EN),standard deviation(SD),spatial frequency(SF),and average gradient(AG).Object detection experiments were done on the M3FD dataset to further verify the algorithm’s performance in comparison with five other *** algorithm’s accuracy was evaluated using the mean average precision at a threshold of 0.5(mAP@0.5)*** experimental findings show that CAEFusion performs well in subjective visual and objective evaluation criteria and has promising potential in downstream object detection tasks.

关键词： Image fusion deep learning auto-encoder(AE) infrared visible light

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Erosion Analysis of Static Components in Slurry Pumps Based on Reverse Modeling

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Fluid Dynamics & Materials Processing 2025年第3期21卷 589-603页

作者： Zhengjing Shen Fanqiang Kong Yu Liu Jilai Zeng Wengang Yang Jiangbo Wu School of College of Energy and Power Engineering Lanzhou University of TechnologyLanzhou730050China Key Laboratory of Advanced Pumps Valves and Fluid Control SystemMinistry of EducationLanzhou730050China

Erosion in slurry pumps presents a persistent challenge in industrial *** study examines the erosion of the static components of a 150ZJ-C42 centrifugal slurry pump,currently in operation at a beneficiation plant,under varying particle *** high-precision three-dimensional reverse engineering,the pump’s flow passage geometry was reconstructed to facilitate detailed erosion *** on the front and rear baffles of the pump chamber,as well as the volute,erosion patterns were analyzed for different particle volume concentrations and *** results reveal that the highest erosion damage consistently occurs near the volute tongue,with wear being most severe in regions adjacent to the partition plate near the rear *** damage intensity in this area correlates positively with particle ***,the average erosion rate in the volute surpasses that of the front and rear chamber liners,reaching a value as high as 6.03×10^(-7)kg·m^(-2)·s^(-1)at a particle concentration of 9%and diameter of 0.1 mm,adversely impacting pump *** the pump chamber baffles,increased erosion is observed at a particle diameter of 0.05 mm under constant volume concentration conditions,while higher particle concentrations exacerbate localized erosion.

关键词： Slurry pump reverse modeling numerical simulation erosion solid-liquid two-phase flow

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FAULT DIAGNOSIS METHOD FOR DC DISTRIBUTION NETWORKS BASED ON SEMITENSOR PRODUCT BAYESIAN NETWORKS 6

FAULT DIAGNOSIS METHOD FOR DC DISTRIBUTION NETWORKS BASED ON...

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6th International Scientific and Technical Conference Relay Protection and Automation, RPA 2023

作者： Wang, He Li, Shiqiang Yu, Huanan Bian, Jing Wei, Bo Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China

ISBN: (纸本)9798350382334

关键词： Bayesian networks

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