Pub Date : 2022-02-25DOI: 10.1109/ICoPESA54515.2022.9754462
Hai-Yue Yang, Jia Xie, Xiaoyu Hu, Chenchen Zhang, G. Ding, Xingwang Wu, R. Yin, Jielong Wu
The stability of the power system is becoming more and more essential with the rapid development of the national economy, as one of the most important components of power transformers, bushing plays a significant role in electrical insulation. This paper takes the 500 kV GOE oil-immersed bushing as the object of study, constructing a bushing simulation model, and using FEM (Finite Element Method) to research the electric field strength of the bushing. The electric field strength distribution of bushing under the different capacitor core thickness, the radius of the shield electrode, and the ascending flanged base diameter is discussed. Then the influence of the capacitor core thickness and the radius of the shield electrode on the maximum electric field strength is considered to optimize the structure of the shield electrode. The analysis results provide a theoretical basis for the practical application of engineering.
{"title":"Thickness Optimization for Capacitance Core of High Voltage Transformer Bushing Based on Finite Element Method","authors":"Hai-Yue Yang, Jia Xie, Xiaoyu Hu, Chenchen Zhang, G. Ding, Xingwang Wu, R. Yin, Jielong Wu","doi":"10.1109/ICoPESA54515.2022.9754462","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754462","url":null,"abstract":"The stability of the power system is becoming more and more essential with the rapid development of the national economy, as one of the most important components of power transformers, bushing plays a significant role in electrical insulation. This paper takes the 500 kV GOE oil-immersed bushing as the object of study, constructing a bushing simulation model, and using FEM (Finite Element Method) to research the electric field strength of the bushing. The electric field strength distribution of bushing under the different capacitor core thickness, the radius of the shield electrode, and the ascending flanged base diameter is discussed. Then the influence of the capacitor core thickness and the radius of the shield electrode on the maximum electric field strength is considered to optimize the structure of the shield electrode. The analysis results provide a theoretical basis for the practical application of engineering.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127089796","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}
A simple three-dimensional analytical modeling method for the axial-flux permanent magnet eddy current coupler is proposed in this paper. According to the mathematical expressions of the Fourier series and integral transformation in different coordinate directions, the cumbersome boundary conditions are simplified. The general solution of the Laplace equation in cylindrical coordinates is derived by analyzing several coefficients of the Bessel function, which effectively reduces the complexity of existing models containing Bessel functions. The axial, circumferential, and radial components of the magnetic flux density in the air gap are obtained. The comparison between analytical results and finite element results has validated the accuracy of the model.
{"title":"A Simple 3-D Analytical Modeling Method and Sensitivity Analysis for the Axial-Flux Permanent Magnet Eddy Current Coupler","authors":"Wenhui Li, Dazhi Wang, T. Tong, Deshan Kong, Sihan Wang, Zhong Hua","doi":"10.1109/ICoPESA54515.2022.9754470","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754470","url":null,"abstract":"A simple three-dimensional analytical modeling method for the axial-flux permanent magnet eddy current coupler is proposed in this paper. According to the mathematical expressions of the Fourier series and integral transformation in different coordinate directions, the cumbersome boundary conditions are simplified. The general solution of the Laplace equation in cylindrical coordinates is derived by analyzing several coefficients of the Bessel function, which effectively reduces the complexity of existing models containing Bessel functions. The axial, circumferential, and radial components of the magnetic flux density in the air gap are obtained. The comparison between analytical results and finite element results has validated the accuracy of the model.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123964735","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}
Pub Date : 2022-02-25DOI: 10.1109/ICoPESA54515.2022.9754415
Xiaoqing Yin, Hao Yi, Zebin Yang, F. Zhuo
Recently, with the development of the smart distribution network with the advanced metering infrastructure, the requirement of comprehensive evaluation with mass data and global improvement of power quality has emerged. However, most comprehensive evaluation methods only focus on the score of power quality without considering the role of comprehensive evaluation in the global improvement strategy of power quality control devices. This paper proposes a complete global configuration strategy of shunt active power filters (SAPFs), which utilizes the evaluation scores as a part of the objective function. Then, an IEEE 18-bus test system with non-linear loads and unbalance loads is employed in simulation to verify the feasibility of the proposed comprehensive evaluation algorithm and global configuration strategy. After configuring SAPFs according to the result, total power quality indicators in the system can meet the recommended standards.
{"title":"Global Configuration Strategy of SAPFs Combined with Comprehensive Evaluation of Power Quality in Distribution Network","authors":"Xiaoqing Yin, Hao Yi, Zebin Yang, F. Zhuo","doi":"10.1109/ICoPESA54515.2022.9754415","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754415","url":null,"abstract":"Recently, with the development of the smart distribution network with the advanced metering infrastructure, the requirement of comprehensive evaluation with mass data and global improvement of power quality has emerged. However, most comprehensive evaluation methods only focus on the score of power quality without considering the role of comprehensive evaluation in the global improvement strategy of power quality control devices. This paper proposes a complete global configuration strategy of shunt active power filters (SAPFs), which utilizes the evaluation scores as a part of the objective function. Then, an IEEE 18-bus test system with non-linear loads and unbalance loads is employed in simulation to verify the feasibility of the proposed comprehensive evaluation algorithm and global configuration strategy. After configuring SAPFs according to the result, total power quality indicators in the system can meet the recommended standards.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127827415","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}
Aiming at the actual situation of multiple feeders on the same bus and multiple branches on the lines in the distribution network, this paper proposes a setting scheme for the distribution line non-communication protection considering the influence of branch line faults and adjacent line faults. In the scheme, the mainline protection and branch line protection cooperate. Branch lines are equipped with quick break protection to ensure the unity of protection selectivity and rapidity. The action delay of non-communication undervoltage protection co-ordinates with overcurrent protection section I of adjacent line. The voltage setting value of non-communication undervoltage protection coordinates with the fault phase voltage variation on the bus in case of fault at the end of the protection range of overcurrent protection section I of adjacent line to solve the misoperation of undervoltage protection in case of adjacent line faults. Simulation results show that the proposed protection setting scheme is not affected by adjacent line faults, and the mainline faults and branch line faults are selective.
{"title":"Research on Application Setting Scheme of Distribution Line Non-communication Protection","authors":"Yiwen Liang, Shenxing Shi, Xinzhou Dong, Jinyu Chen","doi":"10.1109/ICoPESA54515.2022.9754398","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754398","url":null,"abstract":"Aiming at the actual situation of multiple feeders on the same bus and multiple branches on the lines in the distribution network, this paper proposes a setting scheme for the distribution line non-communication protection considering the influence of branch line faults and adjacent line faults. In the scheme, the mainline protection and branch line protection cooperate. Branch lines are equipped with quick break protection to ensure the unity of protection selectivity and rapidity. The action delay of non-communication undervoltage protection co-ordinates with overcurrent protection section I of adjacent line. The voltage setting value of non-communication undervoltage protection coordinates with the fault phase voltage variation on the bus in case of fault at the end of the protection range of overcurrent protection section I of adjacent line to solve the misoperation of undervoltage protection in case of adjacent line faults. Simulation results show that the proposed protection setting scheme is not affected by adjacent line faults, and the mainline faults and branch line faults are selective.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128932278","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}
Pub Date : 2022-02-25DOI: 10.1109/ICoPESA54515.2022.9754482
P. Ji, Quan Zhu
With the rapid development of clean energy generation technology, a large number of distributed power sources are integrated into the local power grid, resulting in the intensification of disturbance signals in the power grid. It is particularly important to effectively classify and identify the disturbance signals in the power grid. This paper presents a recognition method based on energy difference and support vector machine. The method extracts signal feature vectors by calculating the energy difference of power grid signals and sends them to support vector machine for classification. Experiments were carried out on the power grid signals with and without noise. Experiments show that this method can effectively classify and recognize the disturbance signals, and the recognition rate is greatly improved. The effectiveness of the method is proved. This paper provides a theoretical basis for the improvement of power grid quality and intelligent monitoring management in the future.
{"title":"Research on Power Grid Disturbance Signal Identification Method Based on Energy Difference","authors":"P. Ji, Quan Zhu","doi":"10.1109/ICoPESA54515.2022.9754482","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754482","url":null,"abstract":"With the rapid development of clean energy generation technology, a large number of distributed power sources are integrated into the local power grid, resulting in the intensification of disturbance signals in the power grid. It is particularly important to effectively classify and identify the disturbance signals in the power grid. This paper presents a recognition method based on energy difference and support vector machine. The method extracts signal feature vectors by calculating the energy difference of power grid signals and sends them to support vector machine for classification. Experiments were carried out on the power grid signals with and without noise. Experiments show that this method can effectively classify and recognize the disturbance signals, and the recognition rate is greatly improved. The effectiveness of the method is proved. This paper provides a theoretical basis for the improvement of power grid quality and intelligent monitoring management in the future.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132542708","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}
Pub Date : 2022-02-25DOI: 10.1109/ICoPESA54515.2022.9754444
H. Lei, Li Jiang, Ya Huang, G. Gao, J. Zhang
This paper mainly introduces the detection method and calculation method of load flicker signal. Firstly, the commonly used detection methods are theoretically analyzed, their advantages and disadvantages are pointed out, and a fundamental effective value detection method is proposed. Then the flicker calculation method is studied. The traditional flicker calculation method is complex and needs the design of some filters. Based on the traditional algorithm, the flicker calculation method is improved, and the accuracy and rapidity of the algorithm are verified by simulation.
{"title":"Research on Algorithm of Load Licker in Power System","authors":"H. Lei, Li Jiang, Ya Huang, G. Gao, J. Zhang","doi":"10.1109/ICoPESA54515.2022.9754444","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754444","url":null,"abstract":"This paper mainly introduces the detection method and calculation method of load flicker signal. Firstly, the commonly used detection methods are theoretically analyzed, their advantages and disadvantages are pointed out, and a fundamental effective value detection method is proposed. Then the flicker calculation method is studied. The traditional flicker calculation method is complex and needs the design of some filters. Based on the traditional algorithm, the flicker calculation method is improved, and the accuracy and rapidity of the algorithm are verified by simulation.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126561942","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}
Pub Date : 2022-02-25DOI: 10.1109/ICoPESA54515.2022.9754414
Q. Gao, T. Lei, Fei Deng, Zhihao Min, W. Yao, Xiaobin Zhang
Electric propulsion UAV powered by hybrid power system consisting of fuel cells and lithium batteries have attracted significant attention for long endurance and zero emission. Different dynamic characteristics for variable power load demanding which can be stochastically affected by the UAV’s flight air dynamic disturbance are difficult to be modeled with energy management system (EMS). In this paper, a Deep Reinforcement Learning (DRL) algorithm, namely twin-delayed Deep Deterministic policy gradient (TD3), is adopted to derivate EMS for hybrid electric UAV which can avoid performance degradation from uncertainty of power system model and curse of dimensionality of traditional algorithm. The simulation results indicate that the TD3-based DRL strategy is able to coordinate multiple electric power sources based on their natural power characteristics, satisfy different flight profiles of UAV. Furthermore, the performances of TD3, Deep Q-Networks (DQN), Deep Deterministic policy gradient (DDPG) and Dynamic Programming (DP) algorithms with different parameters in EMS of hybrid electric UAV were compared and the effectiveness of the algorithm was verified by digital simulation. Comparative results also illustrate that the proposed TD3 method outperforms other two methods in solving multi-objective optimization energy management problem, in terms of hydrogen consumptions, system efficiency and battery’s state of charge (SOC) sustainability.
{"title":"A Deep Reinforcement Learning Based Energy Management Strategy for Fuel-Cell Electric UAV","authors":"Q. Gao, T. Lei, Fei Deng, Zhihao Min, W. Yao, Xiaobin Zhang","doi":"10.1109/ICoPESA54515.2022.9754414","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754414","url":null,"abstract":"Electric propulsion UAV powered by hybrid power system consisting of fuel cells and lithium batteries have attracted significant attention for long endurance and zero emission. Different dynamic characteristics for variable power load demanding which can be stochastically affected by the UAV’s flight air dynamic disturbance are difficult to be modeled with energy management system (EMS). In this paper, a Deep Reinforcement Learning (DRL) algorithm, namely twin-delayed Deep Deterministic policy gradient (TD3), is adopted to derivate EMS for hybrid electric UAV which can avoid performance degradation from uncertainty of power system model and curse of dimensionality of traditional algorithm. The simulation results indicate that the TD3-based DRL strategy is able to coordinate multiple electric power sources based on their natural power characteristics, satisfy different flight profiles of UAV. Furthermore, the performances of TD3, Deep Q-Networks (DQN), Deep Deterministic policy gradient (DDPG) and Dynamic Programming (DP) algorithms with different parameters in EMS of hybrid electric UAV were compared and the effectiveness of the algorithm was verified by digital simulation. Comparative results also illustrate that the proposed TD3 method outperforms other two methods in solving multi-objective optimization energy management problem, in terms of hydrogen consumptions, system efficiency and battery’s state of charge (SOC) sustainability.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125710579","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}
Pub Date : 2022-02-25DOI: 10.1109/ICoPESA54515.2022.9754481
Jianlin Li, Dixi Xin, Han Wang, Chang Liu
As the global economy develops and environmental awareness grows, technology in the energy sector is receiving widespread attention. Energy storage technology and electrification of rail transit are the most promising research directions in the energy field. The rail sector requires energy storage technologies to cope with the energy management demands of electrification; new types of energy storage, particularly power storage, are also finding application in the rail sector. This paper summarizes the demand for energy storage in rail transit and analyses the required forms of energy storage. According to the current stage of energy storage development, this paper presents the system structures and the corresponding power electronic topologies for different forms of energy storage.
{"title":"Application of Energy Storage System in Rail Transit: A Review","authors":"Jianlin Li, Dixi Xin, Han Wang, Chang Liu","doi":"10.1109/ICoPESA54515.2022.9754481","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754481","url":null,"abstract":"As the global economy develops and environmental awareness grows, technology in the energy sector is receiving widespread attention. Energy storage technology and electrification of rail transit are the most promising research directions in the energy field. The rail sector requires energy storage technologies to cope with the energy management demands of electrification; new types of energy storage, particularly power storage, are also finding application in the rail sector. This paper summarizes the demand for energy storage in rail transit and analyses the required forms of energy storage. According to the current stage of energy storage development, this paper presents the system structures and the corresponding power electronic topologies for different forms of energy storage.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126717542","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}
For steam and oil leak detection problems in power plant pipelines, the technology and system implementation based on CBAM-Faster RCNN are proposed. First, VGG16 is replaced by the ResNet101 structure in order to obtain rich semantic information of feature graph, which is the feature extraction network of CBAM-Faster RCNN. A lightweight attention mechanism module CBAM is added to the feature extraction network and the full connection layer is replaced by one-dimensional convolution. These are able to solve the problem that the feature information of small leakage objects is tend to lose. Next, the new anchor scale in RPN network is obtained based on Kernel K-means clustering method, which is suitable for corresponding to the scale of the leakage object. Then, the ROI Pooling structure in CBAM-Faster RCNN is replaced by ROI Align to improve the accuracy of leakage detection algorithm. The mAP value of CBAM-Faster RCNN network reaches 96.5 percent, which proves accurate detection of steam and oil leakage is realized. Finally, the pipeline leakage detection system based on CBAM-Faster RCNN is embedded into the platform of intelligent inspection robot in key areas of power plant and the practicability of this method is proved.
{"title":"Leakage Detection and Identification of Power Plant Pipelines Based on Improved Faster RCNN","authors":"Danhao Wang, D. Peng, Dongmei Huang, Weiwei Liu, Erjiang Qi, Hongxun Lv","doi":"10.1109/ICoPESA54515.2022.9754403","DOIUrl":"https://doi.org/10.1109/ICoPESA54515.2022.9754403","url":null,"abstract":"For steam and oil leak detection problems in power plant pipelines, the technology and system implementation based on CBAM-Faster RCNN are proposed. First, VGG16 is replaced by the ResNet101 structure in order to obtain rich semantic information of feature graph, which is the feature extraction network of CBAM-Faster RCNN. A lightweight attention mechanism module CBAM is added to the feature extraction network and the full connection layer is replaced by one-dimensional convolution. These are able to solve the problem that the feature information of small leakage objects is tend to lose. Next, the new anchor scale in RPN network is obtained based on Kernel K-means clustering method, which is suitable for corresponding to the scale of the leakage object. Then, the ROI Pooling structure in CBAM-Faster RCNN is replaced by ROI Align to improve the accuracy of leakage detection algorithm. The mAP value of CBAM-Faster RCNN network reaches 96.5 percent, which proves accurate detection of steam and oil leakage is realized. Finally, the pipeline leakage detection system based on CBAM-Faster RCNN is embedded into the platform of intelligent inspection robot in key areas of power plant and the practicability of this method is proved.","PeriodicalId":142509,"journal":{"name":"2022 International Conference on Power Energy Systems and Applications (ICoPESA)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129341817","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}
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