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2023 International Conference on Computer Application and Information Security, ICCAIS 2023

作者： Hu, Hongbin Zhang, Yifan Han, Junfei Yu, Chaoyu Wang, Yuqiang Han, Rulei An, Haijun Zhang, Baoquan Inner Mongolia Enterprise Key Laboratory of Smart Grid Simulation of Electrical Power System Inner Mongolia Power Research Institute Inner Mongolia Hohhot China Inner Mongolia Tianda Tiancai Information Technology Co. Ltd. Inner Mongolia Hohhot China

ISBN: (纸本)9781510675032

The power loss center is responsible for the resource loss of power grid transmission and distribution. When power loss assets fail, or projects and accounts do not match and cannot be handled in a timely manner, local problems in the power grid can quickly spread, while other links cannot be quickly adjusted, resulting in uneven power distribution and resource waste. This article outlines artificial intelligence, analyzes the factors that affect the healthy operation of power loss automation and smart grid power loss control systems, proposes an active security protection method design for fictional traps in power loss systems, and analyzes intelligent energy integrated management and control systems based on information physics systems. The results show that if an attacker attacks a fictitious grid, the system will discover and capture it, and the attack will stop. © 2024 SPIE.

关键词： smart power grids

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Frequency Response and Fault Ride Through of a Novel MMC Based Hybrid Energy Storage system

Frequency Response and Fault Ride Through of a Novel MMC Bas...

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2022 IEEE Transportation Electrification Conference and Expo, Asia-Pacific, ITEC Asia-Pacific 2022

作者： Minfu, A Fang, Yixuan Yang, Zaixin Yin, Baiqing Hu, Pengfei Inner Mongolia Power Research Institute Enterprise Key Laboratory of Smart Grid Simulation of Electrical Power System Huhhot China Zhejiang University College of Electrical Engineering Hangzhou China

ISBN: (数字)9781665492065

ISBN: (纸本)9781665492065

Energy storage is seen as a solution to the problem of inertia and fault ride through in high penetration power system. Comparing to single energy storage system, hybrid energy storage system has some advantages and has drown much attention. A novel hybrid energy storage topology based on multilevel modular converter(MMC) has been proposed. The MMC-based topology has better reliability, and simplified control. This paper focus on the operation of the MMC-based hybrid energy storage system under dynamic and grid fault conditions. The frequency response and power allocation method for the MMC-based hybrid energy storage under dynamic conditions is presented, and unbalance current compensation and low voltage ride through strategy is proposed. A low voltage ride through recover method is proposed to fasten the recover process. All the control method is verified by PLECS-based simulation. With proposed control in this paper, the MMC-based hybrid energy storage can deal with several dynamic and grid fault conditions. © 2022 IEEE.

关键词： Frequency response

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Improvement of Particle Swarm Optimization Algorithm and Its Application in power Data Mining 4

Improvement of Particle Swarm Optimization Algorithm and Its...

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4th International Conference on Advances in electrical Engineering and Computer Applications, AEECA 2023

作者： Hu, Hongbin Zhang, Yifan Han, Junfei Wang, Yuqiang Zhong, Ming He, Qianjin Zhang, Longlong Inner Mongolia Power Research Institute Inner Mongolia Enterprise Key Laboratory of Smart Grid Simulation of Electrical Power System Hohhot China Inner Mongolia Tianda Tiancai Information Technology Co. Ltd. Hohhot China

ISBN: (纸本)9798350308082

In power data mining, in order to cope with the rapidly growing data volume, particle swarm optimization algorithms should be improved and applied to power systems to improve performance and efficiency. In the process of particle search, the size of the particle is changed to affect the size of the ELM network structure. Such operation can not only expand the solution space of the problem, but also solve the shortcoming that traditional Particle Swarm Optimization-Extreme Learning Machine (PSO-ELM) can only find the optimal network structure in the network structure of the same scale. Experiments show that the PSO algorithm with mutation operator can converge to the optimal value more quickly. In addition, compared with the traditional ELM algorithm, Improved Particle Swarm Optimization-Extreme Learning Machine (IPSO-ELM) can obtain higher generalization performance and prediction progress in short-term power load prediction. The 4 curves respectively represent the MAPE value obtained by IPSO-ELM on the training set 1-4, and the fluctuation range is all within 4%, which proves that IPSOELM has good stability. By improving the particle swarm optimization algorithm and applying it to power data mining, the efficiency of power system can be enhanced, energy waste can be reduced, and power supply quality and reliability can be improved. © 2023 IEEE.

关键词： Data mining

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Design and key Algorithm Research of High Performance power Big Data Server Software Intelligent system 6

Design and Key Algorithm Research of High Performance Power ...

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2023 IEEE 6th International Conference on Information systems and Computer Aided Education, ICISCAE 2023

作者： Wang, Yuqiang Han, Junfei Hu, Hongbin Han, Rulei Zhang, Yifan Zhang, Baoquan Inner Mongolia Power Research Institute Inner Mongolia Enterprise Key Laboratory of Smart Grid Simulation of Electrical Power System Hohhot China Inner Mongolia Tianda Tiancai Information Technology Co. Ltd. Hohhot China

ISBN: (纸本)9798350313444

Traditional power big data processing methods can no longer meet the development trend of power big data. Designing and implementing high-performance power big data servers for real-time collection, analysis, and processing of power big data has become the development direction of domestic power big data. This article proposes a design pattern based on reactor servers. By constructing the system software and combining "data-driven"and "theoretical model"methods, the data parsing layer of the power data transmission message format based on the 104 protocol is implemented, achieving the function of changing the log printing level without the need for system restart. Through experimental testing and analysis at the end of the article, The comparison of data throughput between this system and OpenPDC has successfully verified the system's advantages in concurrency performance. The test results indicate that the throughput of this system is on average more than 20% higher than OpenPDC. © 2023 IEEE.

关键词： Data Analysis power big data Software Design system Throughput

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power system Fault Classification and Prediction Based on Intelligent Algorithms 4

Power System Fault Classification and Prediction Based on In...

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4th International Conference on Advances in electrical Engineering and Computer Applications, AEECA 2023

作者： Hu, Hongbin Wang, Yuqiang Han, Junfei Zhong, Ming Zhang, Yifan An, Haijun Inner Mongolia Power Research Institute Inner Mongolia Enterprise Key Laboratory of Smart Grid Simulation of Electrical Power System Hohhot China Inner Mongolia Tianda Tiancai Information Technology Co. Ltd. Hohhot China

ISBN: (纸本)9798350308082

power system fault classification and prediction based on intelligent algorithms is a method that utilizes machine learning and data mining techniques to classify and predict fault conditions in power systems. This method can effectively prevent and avoid the occurrence of faults in the power system by collecting a large amount of power system data and using intelligent algorithms for processing to predict the type and location of faults that may occur in the power system, thereby improving the reliability and stability of the power system. This paper mainly applies the method of algorithm comparison and experiment to analyze the correlation of power system fault classification and prediction. Experimental data show that the recall rate and accuracy of the adaptive moment estimation algorithm mentioned in this article are both above 0.9, ranking first. © 2023 IEEE.

关键词： Machine learning

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An Improved Solov2 Based on Attention Mechanism and Weighted Loss Function for electrical Equipment Instance Segmentation

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Computers, Materials & Continua 2024年第1期78卷 677-694页

作者： Junpeng Wu Zhenpeng Liu Xingfan Jiang Xinguang Tao Ye Zhang Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of EducationNortheast Electric Power UniversityJilin132012China School of Electrical Engineering Northeast Electric Power UniversityJilin132012China Baishan Power Supply Company State Grid Jilin Electric Power CoLtd.Jilin134300China

The current existing problem of deep learning framework for the detection and segmentation of electrical equipment is dominantly related to low *** of the reliable,safe and easy-to-operate technology provided by deep learning-based video surveillance for unmanned inspection of electrical equipment,this paper uses the bottleneck attention module(BAM)attention mechanism to improve the Solov2 model and proposes a new electrical equipment segmentation ***,the BAM attention mechanism is integrated into the feature extraction network to adaptively learn the correlation between feature channels,thereby improving the expression ability of the feature map;secondly,the weighted sum of CrossEntropy Loss and Dice loss is designed as the mask loss to improve the segmentation accuracy and robustness of the model;finally,the non-maximal suppression(NMS)algorithm to better handle the overlap problem in instance *** results show that the proposed method achieves an average segmentation accuracy of mAP of 80.4% on three types of electrical equipment datasets,including transformers,insulators and voltage transformers,which improve the detection accuracy by more than 5.7% compared with the original Solov2 *** segmentation model proposed can provide a focusing technical means for the intelligent management of power systems.

关键词： Deep learning electrical equipment attention mechanism weighted loss function

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Study on active distribution network dispatch strategy based on dynamic partition optimization 3

Study on active distribution network dispatch strategy based...

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3rd International Conference on Consumer Electronics and Computer Engineering, ICCECE 2023

作者： Wang, Yunmin Li, Wenyi Liang, Ziwen Inner Mongolia Power Research Institute Inner Mongolia Enterprise Key Laboratory of Smart Grid Simulation of Electrical Power System Hohhot010020 China Inner Mongolia University of Technology hhhot 010051 China Tongji University Shanghai20092 China

ISBN: (纸本)9798350331578

The goal of active distribution network (ADN) is to improve the capacity of the existing distribution network for intermittent renewable energy (IRE) generation on the premise of ensuring the reliability of grid operation and power quality. In order to promote the consumption of IRE in ADN,this paper establishes an optimization dispatch strategy of active distribution network with energy storage system and controllable load participating in the *** optimization dispatch strategy-dynamic partition is proposed, and an advanced artificial fish swarm algorithm is proposed to enhance the local searching ability. Finally,the effectiveness of the proposed strategy is verified by the case on an improved IEEE 33 node system. © 2023 IEEE.

关键词： power quality

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Research on Fault Ride Through Control Strategy Based on Multi Terminal Flexible DC Transmission system 1

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37th Annual Conference on power system and Automation in Chinese Universities, CUS-EPSA 2022

作者： Wang, Yunmin Yang, Zhiyong Yang, Bingyuan Wang, Chao Qu, Wenyuan Enterprise Key Laboratory of Smart Grid Simulation of Electrical Power System Inner Mongolia Electric Power Science and Research Institute Hohhot China Co Ltd. Xilin Guole Power Supply Bureau Xilinhot China Inner Mongolia University of Technology Hohhot China

ISBN: (数字)9789819914395

ISBN: (纸本)9789819914388

Under the goal of "double carbon", the power system is facing the challenge of ensuring supply and security. The new direction of power system development is to promote integration of large scale renewable energy and use long distance transmission based on the new flexible DC transmission technology. For this reason, the control strategy of multi-terminal flexible DC system and the fault ride-through coordination control strategy without communication between converter stations are studied by using hybrid DC circuit breaker (DCCB), unloading resistor and improved modular multilevel converter (MMC) control strategy. Through RTDS platform simulation experiments, the effectiveness of the fault ride through coordinated control strategy is verified, that is, when the AC transmission line has a three-phase short-circuit fault, the DC voltage fluctuation is suppressed in the range of 1.1 p.u.;In case of pole-pole short circuit fault of flexible direct system, DCCB will isolate DC fault in about 5 ms to ensure the normal and stable operation of the unfaulted line. © 2023, State grid Electric power.

关键词： Electric circuit breakers

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Numerical simulation of Curing of Epoxy/Al2O3 Composite in Highly Saturated Reactors

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IEEE Transactions on Dielectrics and electrical Insulation 2024年第3期32卷 1364-1372页

作者： Liu, Xingyu Sun, Hanlin Liu, Lin Qiao, Jian Yang, Wei Ma, Huan Lin, Jun Bian, Xingming North China Electric Power University State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources Beijing102206 China Beijing Institute of Smart Energy Beijing102211 China State Grid Anhui Ultra High Voltage Company Hefei230000 China

Highly saturated reactors are an important type of electrical equipment used in large and medium-capacity substations or step-down substation power distribution units. However, due to the uneven temperature distribution of its internal insulating materials during the encapsulation and curing process, there are obvious internal stresses that affect the material properties. The curing kinetics of the S213A(B)/ Al2O3 composite system for highly saturated reactors is calculated, and a good fit is verified with experimental data. A three-dimensional finite element multi-physical field coupling model for highly saturated reactors is established to analyse the temperature field and curability during the curing process of the composite encapsulation, and the effects of material thickness and thermal conductivity on the thermal shock peaks generated during the curing process are investigated. In addition, the disadvantages of the traditional two-stage curing process are demonstrated, and a four-stage optimised curing process is proposed and the two are compared. This study provides a theoretical basis and engineering guidance for the development of highly saturated reactors. © 2024 IEEE.

关键词： Encapsulation

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Capacitor Voltage Balancing Strategy Based on Zero-Sequence Voltage Injection for Half-Wave Commutated Modular Multilevel Converter 10

Capacitor Voltage Balancing Strategy Based on Zero-Sequence ...

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10th IEEE International power Electronics and Motion Control Conference, IPEMC 2024 ECCE Asia

作者： Fu, Nan Liu, Bao Xu, Yunfei Zhu, Sitong Wang, Kui Li, Yongdong Tsinghua University State Key Laboratory of Control and Simulation of Power System and Generation Equipment Department of Electrical Engineering Beijing100084 China State Grid Smart Grid Research Institute Co. Ltd State Key Laboratory of Advanced Power Transmission Technology Changping Beijing China Electric Power Research Institute of State Grid Liaoning Electric Power Co. Ltd. Shenyang110000 China

ISBN: (纸本)9798350351330

Half-wave commutated modular multilevel converter (HWC-MMC) is suitable for high-voltage large-capacity AC-AC conversion, and an appropriate capacitor voltage balancing strategy is essential. This paper analyzes the condition of capacitor voltage balancing and proposes a capacitor voltage balancing strategy based on optimal zero-sequence voltage injection using the model predictive control. Finally, the simulation is carried out to verify the proposed strategy. © 2024 IEEE.

关键词： Model predictive control

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