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Introduction

Bimonthly, started in 1957
Administrator
Shanxi Provincial Education Department
Sponsor
Taiyuan University of Technology
Publisher
Ed. Office of Journal of TYUT
Editor-in-Chief
SUN Hongbin
ISSN: 1007-9432
CN: 14-1220/N

Links

Shanxi Provincial Education Department

Taiyuan University of Technology

location： home> 2024,55(01)

Research on Event Monitoring and Load Feature Extraction Method Based on Residential Electricity Consumption Data

【Purposes】 A load feature extraction method based on a combination of event monitoring and Gaussian mixture model clustering is proposed to explore the potential of energy saving and emission reduction at the customer side, to finely analyze and manage the customers’ electricity consumption behavior, and to improve the efficiency of electricity utilization. 【Methods】 First, the active power fluctuation of each appliance during a single operation is extracted by the event monitoring algorithm...

Taiyuan University of technology 2024,55(01): LI Bin′ai, LI Fan, ZHOU Desheng, ZENG Ping, YANG Xiu, YAN Zhongyu. ;

PDFviewed：abstract

Identification Method of Weak Link in Power System Considering Uncertainty of Power Supply and Load

【Purposes】With the continuous development of new electric power system in our country, large-scale new energy connected to the grid has greatly increased the possibility of bearing the impact of power flow, the current carrying capacity of the system line has been on a serious test. At the same time, the increase of source load uncertainty makes the operation state of power grid more complex and changeable, and the traditional weak link identification technology based on deterministic power flo...

Taiyuan University of technology 2024,55(01): ZHENG Huiping, ZHAO Xingquan, LU Xiaohui, CHEN Danyang, BO Liming, NIU Zhewen. ;

PDFviewed：abstract

A Bilevel Multi-objective Planning of Electric Vehicle Charging Station Considering Uncertainty of Wind Power and Photovoltaic

【Purposes】In order to meet the expansion planning needs of electric vehicle charging stations under the “double carbon” goal and study the influence of charging station location and capacity on the absorption of distributed power supply. 【Methods】This paper establishes a multi-objective double-layer configuration optimization model considering the uncertainty and correlation of wind-power output, and analyzes the influence of charging behavior change of electric vehicle(EV) users on chargin...

Taiyuan University of technology 2024,55(01): XING Yahong, MENG Changhong, HUANG Qian, SONG Wei, ZHAO Haibo, SHEN Zeyuan, QIN Wenping. ;

PDFviewed：abstract

Research on the Strong Robust Control Strategy of the New Elastic Potential Energy Storage System in Energy Storage Process

【Purposes】 To achieve stable and efficient energy storage in the new elastic potential energy storage system, it is first necessary to establish an accurate mathematical model to reveal the operating characteristics of the energy storage box, and complete the calculation and configuration model of its capacity and power; Second, a strong robust control algorithm is needed to achieve the fast torque response while effectively suppressing disturbances. 【Methods】 In this paper, an accurate mathe...

Taiyuan University of technology 2024,55(01): ZHENG Xiaoming, SONG Zhibin, XING Yahong, YU Yang, LIANG Yan, WANG Peng, HU Yingying. ;

PDFviewed：abstract

Low-carbon Evaluation Index System and Method for the Whole Life Cycle of the New Power System

【Purposes】 The construction of new low-carbon power grids for the whole society has an important role in promoting the development of low-carbon economy, and the establishment of a new power system whole life cycle low-carbon evaluation index system is of great significance to the development of low-carbon power grid. 【Methods】 On the basis of the analysis of the whole life cycle of the new power system low carbon grid, three primary indicators of economy, reliability, and low carbon were con...

Taiyuan University of technology 2024,55(01): ZHANG Min, LI Huipeng, CHANG Xiao, ZHI Huiqiang, HAN Xiaoqing, BAI Hua. ;

PDFviewed：abstract

Optimal Dispatch of Coordinated Source-grid-load-storage in New Power System Based on Low-carbon Demand Response

【Purposes】 In the context of China’s “double carbon” target, energy saving and emission reduction have become one of the primary strategic objectives of current power industry. In addition to system safety, reliability, and economy, the power system also needs to introduce the “carbon emission reduction constraint” into all aspects of the system, which will present a new low carbon operation and management mode. 【Methods】 Aiming at the new power system carbon measurement and low carbon r...

Taiyuan University of technology 2024,55(01): WANG Jinhao, FAN Rui, XIAO Ying, HE Dan, HAN Xiaoqing, LI Yizhulin. ;

PDFviewed：abstract

Electrical Equipment Segmentation in Complex Substation Scenarios Based on Improved Transformer

【Purposes】Owing to the varietry of electrical equipment and the complex connection between them in transformer station, there are many common problems includeng relatively limited location and picture contrast of equipment, insufficient target images and markers in practical applications, and inaccurate electrical equipment image segmentation brought by the traditional way. In this paper, CNN (Convolutional Neural Network) is combined with Transformer to form a new model for segmentation of ele...

Taiyuan University of technology 2024,55(01): LI Yang, ZHU Chunshan, ZHANG Jianliang, GAO Wei, XUE Honglin, MA Junwei, WEN Zhifang. ;

PDFviewed：abstract

Detection of Abnormal Power Consumption State Based on VMD Decomposition and Random Matrix Theory

【Purposes】 Users’ abnormal power consumption behaviors need to be distinguished quickly and accurately. 【Methods】 An abnormal state detection model is proposed on the basis of smart meter data and data decomposition and random matrix theory, realizing the identification of users’ abnormal power consumption behaviors.The variational mode decomposition (VMD) algorithm is used to eliminate the noise of power data and the influence of noise data. The Random Matrix Theory (RMT) is combined with ...

Taiyuan University of technology 2024,55(01): QIN Zhiqin, HAN Yuhuan, ZHANG Yi, GUO Zhijun, XU Yingwei, JIN Zexuan. ;

PDFviewed：abstract

Transient Stability Analysis Method of Power System Based on Multi-source Data Drive

【Purposes】At present, the data driven method represented by deep learning has been widely used in power transient stability analysis. However, the existing transient stability models for researching data driving have some problems, such as limited generalization ability and insufficient model accuracy, when facing small samples, weak samples, and other actual scenarios. In order to improve the expression ability of the model, a refined transient stability assessment method is proposed in this p...

Taiyuan University of technology 2024,55(01): QU Ying, HAN Xiaoqing, LIU Xinyuan, LU Xiaohui, MENG Tao, ZHANG Ying. ;

PDFviewed：abstract

Research on the Price Mechanism of Innovative Electricity Retail Market

【Purposes】In the case of insufficient development of electricity retail market, the construction of retail market from the perspective of price mechanism was discussed. 【Methods】First, according to the situation in Shanxi, Guangdong, and other regions, this paper analyzes the current situation and problems of China’ s electricity retail market was analyzed; second, the price mechanism of innovative retail market was proposed from four aspects: clear retail package price design, establish spe...

Taiyuan University of technology 2024,55(01): WANG Yao, WANG Binbin, LIANG Yan, LI Jing, JI Zhe. ;

PDFviewed：abstract

Longitudinal Protection Scheme for Distribution Network with Distributed Power Based on Amplitude and Phase Characteristics of Fault Sequence Current

【Purposes】 With the continuous access of distributed generator (DG) in the traditional distribution network, it has brought serious challenges to the distribution network protection configuration. Based on the analysis of the amplitude and phase characteristics of different types of DG fault current in distribution network line fault, this paper proposes a distribution network pilot protection scheme based on the amplitude and phase characteristics of fault sequence current. 【Methods】 The sch...

Taiyuan University of technology 2024,55(01): YANG Yang, LI Shengwen, CHEN Xiaoqian, QIN Wenping, LI Rui, LIU Yizhao, CAI Yitian. ;

PDFviewed：abstract

Distributed Multi-wind Farm Short-term Power Prediction for Data Privacy-preserving

【Purposes】 Deep learning based on centralized data can effectively improve the prediction accuracy of wind power, but the serious consequences of data leakage make wind farms constantly pay attention to the confidentiality of their own data, which hinders data-driven wind power prediction methods. 【Methods】 To solve the above problems, a short-term power prediction method was proposed for distributed multi-wind farms oriented to data privacy protection, which uses the Horizontal Federated Lea...

Taiyuan University of technology 2024,55(01): ZHENG Jie, NIU Zhewen, HAN Xiaoqing, CHEN Wuhui, WU Yuxiang. ;

PDFviewed：abstract

Evaluation Model of Electric Energy Measuring Device Operating Status Based on Deep Learning

【Purposes】 Manual inspection’s lengthy time commitment, poor efficiency, and inaccurate verification make it challenging to meet practical application requirements in the daily operation of electric energy metering devices. 【Methods】 According to the collected data of electricity information, an evaluation model of metering device operation status based on deep learning is established, and the characteristics of historical data of electricity through the deep learning model are captured. By ...

Taiyuan University of technology 2024,55(01): HAN Yuhuan, QIN Zhiqin, ZHANG Yi, HOU Jian, LIU Yajun, YUAN Lin. ;

PDFviewed：abstract

Research and Application of New Energy Absorption Capacity and Absorption Space Method of Shanxi Power Grid Based on Large-scale New Energy Grid

【Purposes】 With the continuous promotion of the dual carbon goal, new energy has ushered in explosive development, and the capacity and space for new energy consumption have become a concern for all sectors of society. In the research on existing new energy consumption capacity and space, the consumption measures are relatively single and focus more on theoretical research, which is not applicable, propose specific methods and processes. 【Methods】 In this article the time series production si...

Taiyuan University of technology 2024,55(01): LIU Hongli, ZHANG Liwei, LI Jia, LI Xuxia, LIANG Yan, WANG Kaikai. ;

PDFviewed：abstract

Research Progress on Data Security Governance Under the Background of Big Data

【Purposes】 In this paper, research on various stages of the data life cycle and various security governance technologies has been conducted to achieve data security governance progress by searching and analyzing related technical literatures. 【Motheds】 First, the importance of strengthening research on data security governance is analyzed by introducing the status quo of data security governance. Second, the theory of the whole data life cycle is expounded in detail, and the different stages ...

Taiyuan University of technology 2024,55(01): XU Shuang，LIU Wenbin, LI Jialong, LI Deng′ao， ZHAO Jumin. ;

PDFviewed：abstract

Survey on Pre-trained Models Fusing Knowledge Graphs

【Purpose】 In practical applications, the pre-trained model still faces the challenge of low quality and quantity of knowledge information required for complex tasks, while the fusion of knowledge graph into the pre-trained model can enhance its performance. 【Methods】 In this paper, literatures about knowledge graph fusion pre-training model in recent years have been analyzed and summarized. First, the reasons, advantages, and difficulties of introducing knowledge graph into pre-training model...

Taiyuan University of technology 2024,55(01): YANG Jie, LIU Na, XU Zhenshun, ZHENG Guofeng, LI Chen, DAO Lu. ;

PDFviewed：abstract

Multi-round Cross Online Matching in Spatial-temporal Crowdsourcing

【Purposes】 To address the imbalance between supply and demand in traditional single platform task assignment, Cross Online Matching (COM) has emerged as a novel solution that allows multiple similar platforms to establish cooperative relationships and send uncompleted tasks to other platforms, increasing the probability of task acceptance. However, current COM solutions only consider single-round matching processes, making it difficult to find optimal decision results in multi-platform competit...

Taiyuan University of technology 2024,55(01): JIN Qianqian, LI Boyang, CHENG Yurong, SUN Yongjiao. ;

PDFviewed：abstract

Social Network Graph Generation Method Satisfying Personalized Differential Privacy

【Purposes】 Aiming at the problem that the randomized neighbor list method of directly disturbing the neighbor list in the existing local differential privacy social network graph generation algorithm will lead to excessive noise and imbalanced privacy protection, a new social network graph generation algorithm satisfying personalized local differential privacy is proposed. 【Methods】 First, the Louvain algorithm is used to partition the original social network graph and preserve community info...

Taiyuan University of technology 2024,55(01): GAO Rui, CHEN Xuebin, GU Zheng, ZOU Yuanhuai. ;

PDFviewed：abstract

Dynamic Graph Convolution Network with Multi-head Attention for Traffic Flow Prediction

【Purposes】 Traffic flow prediction is crucial for the effective management and operation of urban transportation systems. The flows of different road sections or intersections in a traffic network change dynamically with time, meanwhile the flows of spatially neighboring road sections or intersections affect each other. In order to better learn the spatial and temporal correlation of the traffic flow of different road sections or intersections from the traffic flow sequences, and to improve the...

Taiyuan University of technology 2024,55(01): DENG Hanyou, CHEN Hongmei, XIAO Qing, FANG Yuan. ;

PDFviewed：abstract

Knowledge Tracing Model Based on Multiple Behavior Features Embedded Memory Networks

【Purposes】 A Knowledge Tracing Model based on Multiple Behavior Features Embedded Memory Networks (MFKT) was proposed to fully utilize the learning and forgetting features in interaction records. The MFKT model considers both learning and forgetting behaviors in the learning process. 【Methods】 First, two major features, learning and forgetting, are extracted from the interaction records, and then the extracted learning features are embedded into the memory network by scalar crossover, while t...

Taiyuan University of technology 2024,55(01): HE Bugui, DONG Yongquan, JIA Rui, JIN Jiayong. ;

PDFviewed：abstract