2022 IEEE International Conference on Power Systems and Electrical Technology (PSET)最新文献

{"title":"Arcing Characteristics of Electromechanical Contactor under Different Currents","authors":"Yongxing Wang, Yingdong Ji, Enyuan Dong, Sheng Yin, Gong-Cheng Wang, Chao Wang","doi":"10.1109/PSET56192.2022.10100609","DOIUrl":"https://doi.org/10.1109/PSET56192.2022.10100609","url":null,"abstract":"The structure of arc extinguishing chamber of electromechanical contactor has an important influence on the occurrence and the development of arc. In this paper, an experimental platform was built to analyse the critical current effect in the breaking process. Based on the magnetohydrodynamic model, the mathematical arc model for small DC contactor is established. Consider the near polar region between fractures, the physical fields in arc extinguishing chamber under different breaking conditions are analyzed. The simulation model is verified by comparing the simulation result with the experiment result. The research conclusion is helpful to optimize the arc extinguishing chamber structure, and to improve the breaking capacity of the contactors.","PeriodicalId":402897,"journal":{"name":"2022 IEEE International Conference on Power Systems and Electrical Technology (PSET)","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124387643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on Optimal Configuration of Energy Storage and Converter in DC Distribution System","authors":"Ying Jian, Xinsen Xu, Xidong Xu","doi":"10.1109/PSET56192.2022.10100554","DOIUrl":"https://doi.org/10.1109/PSET56192.2022.10100554","url":null,"abstract":"In the distribution system, energy storage system can be used to stabilize load fluctuations, while there is a key problem of how to optimize the allocation of energy storage capacity and energy storage converter power. In this paper, the time-series Gaussian distribution model is used to describe the load with power fluctuations. When the load exceeds the sum of the power of the power supply and the energy storage, this part of the load will be short of power. This paper analyzes the risk of this kind of power outage and analyzes the system’s demand for energy storage and the lack of power supply caused by insufficient energy storage in a continuous period with an analytical method. Then, the optimal configuration model of energy storage capacity and converter power is established with the goal of maximizing the benefit of the DC distribution system, and a solution to the model using the gradient descent method is designed. Finally, several examples are optimized using this method, which shows that the method proposed in this paper can realize the optimal configuration of energy storage capacity, energy storage power and converter power.","PeriodicalId":402897,"journal":{"name":"2022 IEEE International Conference on Power Systems and Electrical Technology (PSET)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124801226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Combined Forecasting Model Based on Time Series Characteristics of Power Load Curve","authors":"Yuqi Ji, Chenyang Pang, Xiaomei Liu, Ping He, Chen Zhao, Jiale Fan, Yabang Yan","doi":"10.1109/PSET56192.2022.10100588","DOIUrl":"https://doi.org/10.1109/PSET56192.2022.10100588","url":null,"abstract":"Different load forecasting models have different forecasting accuracy for different types of loads. In order to further improve the forecasting accuracy, this paper proposed two combined forecasting models, SVM-gray system and SVMArima, based on the time series characteristics of power load curves. By analyzing the principles of the two traditional forecasting models, the grey system and Arima, it’s found that the dispersion coefficient of the historical data of the load to be forecasted and the average slope difference of the daily load to be forecasted have a greater impact on the forecast errors of the grey system and the Arima model, respectively. The prediction accuracy of the grey system increases with the decrease of the discrete coefficient of the historical data of the load to be predicted, and the prediction accuracy of the Arima model increases with the decrease of the average slope difference of the load to be predicted. Therefore, the two prediction models are combined with the SVM model while the prediction accuracy is high, that is, the daily load with a small discrete coefficient of the historical data of the load to be predicted is selected as the experimental data, and the grey system-SVM combined prediction model is used for prediction. The daily load with small average slope difference of the load to be predicted is selected as the experimental data, and the ARIMA-SVM combined prediction model is used for prediction. The combined model uses the variance-covariance method (MV) to determine the weight coefficient, and the prediction results of the single prediction model are weighted and averaged to obtain the predicted value of the combined model. Finally, the load data of Anchorage, Alaska is taken as an example to verify. While the discrete coefficient of the historical data of the load to be predicted is low, the prediction accuracy of the grey system-SVM combined prediction model is higher. While the average slope difference of the load to be predicted is low, the prediction accuracy of the SVM-Arima combined prediction model is higher, which verifies the effectiveness of the proposed method.","PeriodicalId":402897,"journal":{"name":"2022 IEEE International Conference on Power Systems and Electrical Technology (PSET)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125106246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design of Power Data Encryption Speed Improvement Scheme Based on SM4","authors":"Yuqing Luo, Jingxiang Feng, Ruijue Feng","doi":"10.1109/PSET56192.2022.10100415","DOIUrl":"https://doi.org/10.1109/PSET56192.2022.10100415","url":null,"abstract":"Electric power data contains rich private information, and encryption technology is often used to protect its information security. Due to its huge data volume, considering the lightweight and high-efficiency encryption algorithm, based on the encryption algorithm SM4 with independent intellectual property rights in my country, combined with the big data technology Hadoop, a parallel encryption speed-up scheme based on the national encryption algorithm SM4 is designed to realize the data encryption speed. Encryption and decryption protection and acceleration of computation. Finally, an experimental platform based on Hadoop is built, and the data is encrypted in blocks with the MapReduce computing framework, and the feasibility test of the scheme is carried out. The experimental results show that the algorithm scheme can improve the encryption speed of unstructured data files. The optimal number of Maps in the established cluster is 8, and the speedup ratio between serial encryption and parallel encryption is more than 2. Compared with serial encryption, it can save 50% of computing overhead time.","PeriodicalId":402897,"journal":{"name":"2022 IEEE International Conference on Power Systems and Electrical Technology (PSET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129756577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on Emission Factors of City-Level Power Grid: A Case of Urumqi","authors":"Ming Gu, Mu Li, C. Gao, Hao Sun, Y. Lu, Chunlei Wu","doi":"10.1109/PSET56192.2022.10100570","DOIUrl":"https://doi.org/10.1109/PSET56192.2022.10100570","url":null,"abstract":"The context of “Carbon Peaking and Carbon Neutrality”, it has become one of the urgent demands for each local government and power consumers to account the precise indirect power emission when controlling the carbon emission, while the emission factors of power grids will directly influence the accounting result of indirect power emission. In this paper, it summarizes the status quo of emission factors of power grids at home and abroad, analyzes the disadvantages of the frequently-used emission factors of power grids in recent China and puts forward suggestions on the calculation of emission factors of city-level power grids. It also calculates the emission factor of power grid within the pilot period in Urumqi of Xinjiang Autonomous Region on the basis of real data. The calculation result indicates that the emission factor of power grid in Urumqi significantly drops in comparison to that of the region. To calculate the city-level emission factors is conducive to enhancing the accuracy of accounting result of indirect power emission, and can be used as a strong proof of the effect of energy saving and carbon reduction of the local power sector.","PeriodicalId":402897,"journal":{"name":"2022 IEEE International Conference on Power Systems and Electrical Technology (PSET)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124626011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Sliding Window-based CAN Bus Electric Power Recording Data Transmission Method","authors":"Junfeng Ding","doi":"10.1109/PSET56192.2022.10100420","DOIUrl":"https://doi.org/10.1109/PSET56192.2022.10100420","url":null,"abstract":"In the existing CAN bus-based distributed electric power distribution control system, the terminal device has the problems of difficult transmission of recording data and low transmission efficiency, and for these problems, a sliding window-based CAN bus power recording data transmission method is proposed in the design. The characteristics and transmission requirements of recording data in terminal device are analyzed, the data transmission method based on binary byte stream is proposed, the characteristics of CAN short frame structure are analyzed, and the idea of separating data frame and control frame is proposed. The sliding window-based frame sending and receiving mechanism is introduced to achieve maximum bandwidth data transmission, and the lost frame retransmission mechanism based on the receive bitmap is proposed to achieve fast retransmission of lost frames. The test shows that the fast and reliable transmission of recording data can be realized based on the design scheme, which has strong application value.","PeriodicalId":402897,"journal":{"name":"2022 IEEE International Conference on Power Systems and Electrical Technology (PSET)","volume":"82 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128157978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on Detection Method of Effective Diameter of Defective Steel Bars in Concrete Structures","authors":"Lu Chunyi, Zheng Tengfei, Deng Bowen, Dai Youquan","doi":"10.1109/PSET56192.2022.10100471","DOIUrl":"https://doi.org/10.1109/PSET56192.2022.10100471","url":null,"abstract":"Reinforced concrete(RC) structures have become an indispensable building material in modern society, in which steel bars can significantly enhance the tensile and compressive properties of reinforced concrete integral components. When the steel bar diameter is reduced due to factors such as corrosion or manufacturing factors, the quality and service life of concrete members will be severely affected. Therefore, it is of great significance to accurately evaluate the effective diameter of reinforcing bars inside concrete members for the operation and maintenance of concrete members. Based on the magnetization principle of ferromagnetic materials, this paper innovatively proposes a detection method for judging the effective diameter of steel bars in concrete by using the magnetic induction value. The magnetic field distribution characteristics of steel bars with different diameters under a fixed magnetic field excitation source are studied, and the position of the diameter reduction interval is judged by the sudden change of the slope of the magnetic induction intensity curve. Curve fitting and integration were performed on the magnetic induction intensity values collected in the diameterreduced interval, and the ratio of the value to the curve integration under the normal diameter was used as the diameter criterion. Finally, by building an experimental platform, the validity of the criterion formed by the magnetic induction intensity curve for judging the diameter of steel bars in concrete is verified.","PeriodicalId":402897,"journal":{"name":"2022 IEEE International Conference on Power Systems and Electrical Technology (PSET)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124576253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Semi-supervised Learning Method for Electricity Theft Detection Based on CT-GAN","authors":"R. Xia, Jiangzhao Wang","doi":"10.1109/PSET56192.2022.10100383","DOIUrl":"https://doi.org/10.1109/PSET56192.2022.10100383","url":null,"abstract":"Nowadays, energy theft has been a major problem worldwide. Most existing machine learning algorithms require large amounts of labeled data to train and build detection models, but the cost of acquiring labeled data is very high. In this paper, a semi-supervised learning method for electricity theft detection based on cooperative training generative adversarial network (CT-GAN) is proposed to avoid the poor effect due to little labeled data. The method has two advantages. The first is semisupervised learning which can solve the defect that the deep convolutional network model is easy to overfit and leads to poor classification performance in the case of insufficient label samples, and the second is two discriminators for co-training, which eliminates the problem of large distribution error of single discriminator and improves the training of semi-supervised generative adversarial networks stability, the ability of GAN to generate labeled sample data is also improved. A large number of experiments validate the effectiveness of our method.","PeriodicalId":402897,"journal":{"name":"2022 IEEE International Conference on Power Systems and Electrical Technology (PSET)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129568809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reliability Estimation of Vacuum Circuit Breaker Based on Maximum Likelihood Estimation","authors":"Yongxing Wang, Liyan Zhang, Hai Chen, Xiaoming Liu, Xiyu Feng, Enyuan Dong, Peng Gao","doi":"10.1109/PSET56192.2022.10100612","DOIUrl":"https://doi.org/10.1109/PSET56192.2022.10100612","url":null,"abstract":"The life test of the vacuum circuit breaker with permanent magnet actuator is carried out for the reliability estimation. The failure situation and the mechanical characteristic parameters during the test of the vacuum circuit breaker are recorded. The Weibull distribution is used to analyze the reliability test data of vacuum circuit breakers. According to the maximum likelihood estimation theory of Weibull distribution in the case of time-censored experiments, the experimental data are iteratively calculated. The reliability evaluation model of vacuum circuit breaker is obtained, and the reliability of vacuum circuit breaker with permanent magnet actuator is quantitatively analyzed.","PeriodicalId":402897,"journal":{"name":"2022 IEEE International Conference on Power Systems and Electrical Technology (PSET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129835374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on RF Sensor for Partial Discharge Detection Based on Microstrip Antenna","authors":"X. Feng, H. Xing, Youfei Sun, Mingxing Zhang, Kaixu Wang","doi":"10.1109/PSET56192.2022.10100362","DOIUrl":"https://doi.org/10.1109/PSET56192.2022.10100362","url":null,"abstract":"The radio frequency (RF) detection method has the advantages of high sensitivity and strong anti-interference ability, and is an important means of partial discharge detection of power equipment. At present, RF sensors cannot meet the needs in terms of bandwidth, gain and size at the same time. It is urgent to develop RF sensors with excellent performance and suitable for partial discharge detection. The RF detection method has the advantages of high sensitivity and strong anti-interference ability. important means. In this paper, a new type of ultra-high frequency (UHF) sensor for partial discharge detection is designed using coplanar waveguide feeding as the feeding method of the sensor. Three typical defects such as corona discharge, creeping discharge and internal air gap discharge were set up, and partial discharge detection tests were carried out to detect partial discharge signals. The results show that the sensor can effectively detect the partial discharge signal, and has a high signal-to-noise ratio and good bandwidth characteristics.","PeriodicalId":402897,"journal":{"name":"2022 IEEE International Conference on Power Systems and Electrical Technology (PSET)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129929542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}