Pub Date : 2021-07-18DOI: 10.1109/ICPSAsia52756.2021.9621727
Ye Zhang, Pengfei Li, Xialin Li, Zhiwang Li
Grid-connected dc systems with high penetration of renewable power generations (RPGs) are prone to dc voltage impact and stability issues, especially when connected to a weak ac grid. In order to address these problems, a novel cascaded power and dc voltage control loops based power smoothing control for energy storage system (ESS) has been proposed in this paper. With this method, transient power fluctuations can be compensated, then transmission power of the grid-connected converter (GCC) from dc system to ac grid and dc voltage can be both smoothed. After transient power supporting, the output of ESS can be recovered according to the pre-scheduled power instruction. Moreover, a detailed small signal model of a dc system based on state-space equations has been derived for dynamic and stability analysis. Finally, the effectiveness of the proposed control method is verified by PSCAD/EMPTC based simulation results in a weak grid-connected dc system with GCC, ESS and constant power load (CPL, to simulate RPG or real loads).
{"title":"Power Smoothing Control of Energy Storage System for DC Systems Connected to Weak Grids","authors":"Ye Zhang, Pengfei Li, Xialin Li, Zhiwang Li","doi":"10.1109/ICPSAsia52756.2021.9621727","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621727","url":null,"abstract":"Grid-connected dc systems with high penetration of renewable power generations (RPGs) are prone to dc voltage impact and stability issues, especially when connected to a weak ac grid. In order to address these problems, a novel cascaded power and dc voltage control loops based power smoothing control for energy storage system (ESS) has been proposed in this paper. With this method, transient power fluctuations can be compensated, then transmission power of the grid-connected converter (GCC) from dc system to ac grid and dc voltage can be both smoothed. After transient power supporting, the output of ESS can be recovered according to the pre-scheduled power instruction. Moreover, a detailed small signal model of a dc system based on state-space equations has been derived for dynamic and stability analysis. Finally, the effectiveness of the proposed control method is verified by PSCAD/EMPTC based simulation results in a weak grid-connected dc system with GCC, ESS and constant power load (CPL, to simulate RPG or real loads).","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117196147","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}
Switched capacitor network has been widely used in power electronic circuits. Under the same input voltage and switch duty cycle, buck-boost converter with switched capacitor network can achieve better voltage-drop effect. Based on peak current controlled buck-boost converter with switched capacitor network, a model of discrete iterative mapping, this paper studies the entropy characteristics to analyze the nonlinear dynamic behavior of the converter. First, two-dimensional entropy of the converter is obtained, which reflects the overall statistical characteristics. Then, the numerical sequence distributions of buck-boost converter with switching capacitor network are also analyzed under different load resistors. Finally, the nonlinear dynamical analysis for the converter is verified by experimental results.
{"title":"Study on Entropy Characteristics of Buck-Boost Converter with Switched Capacitor Network","authors":"Lin Cheng, Chuang Bi, Qingzhou Kang, Jian He, Xuejie Ma, Liang Zhao","doi":"10.1109/ICPSAsia52756.2021.9621485","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621485","url":null,"abstract":"Switched capacitor network has been widely used in power electronic circuits. Under the same input voltage and switch duty cycle, buck-boost converter with switched capacitor network can achieve better voltage-drop effect. Based on peak current controlled buck-boost converter with switched capacitor network, a model of discrete iterative mapping, this paper studies the entropy characteristics to analyze the nonlinear dynamic behavior of the converter. First, two-dimensional entropy of the converter is obtained, which reflects the overall statistical characteristics. Then, the numerical sequence distributions of buck-boost converter with switching capacitor network are also analyzed under different load resistors. Finally, the nonlinear dynamical analysis for the converter is verified by experimental results.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123083114","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 : 2021-07-18DOI: 10.1109/ICPSAsia52756.2021.9621649
Liang Zhang, Fujian Chi, F. Yang, Guixin Li, Zhang Zhang, Junkai Li, Jinchen Liu
For the current supply capacity assessment failed to adequately consider the impact of heating and cooling load comfort and virtual energy storage characteristics of buildings, a power supply capability evaluation method of distribution network based on flexible cooling and heating demand is proposed. First of all, combined with the influence of cooling and heating load resources on the reliability of power supply, a calculation method of terminal user reliability index considering cooling heating and electrical load is proposed; Secondly, based on the indoor air thermal equilibrium model and the building envelope thermal equilibrium model, a virtual energy storage model for cooling and heating loads is established. Thirdly, based on the sequential Monte Carlo reliability evaluation process, distribution network power supply capacity evaluation model and solution method based on differentiated reliability constraints are proposed. Finally, a numerical example is used to verify the effectiveness and practicability of the method proposed in this paper.
{"title":"Power Supply Capability Evaluation of Distribution Network Based on Flexible Cooling and Heating Demand","authors":"Liang Zhang, Fujian Chi, F. Yang, Guixin Li, Zhang Zhang, Junkai Li, Jinchen Liu","doi":"10.1109/ICPSAsia52756.2021.9621649","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621649","url":null,"abstract":"For the current supply capacity assessment failed to adequately consider the impact of heating and cooling load comfort and virtual energy storage characteristics of buildings, a power supply capability evaluation method of distribution network based on flexible cooling and heating demand is proposed. First of all, combined with the influence of cooling and heating load resources on the reliability of power supply, a calculation method of terminal user reliability index considering cooling heating and electrical load is proposed; Secondly, based on the indoor air thermal equilibrium model and the building envelope thermal equilibrium model, a virtual energy storage model for cooling and heating loads is established. Thirdly, based on the sequential Monte Carlo reliability evaluation process, distribution network power supply capacity evaluation model and solution method based on differentiated reliability constraints are proposed. Finally, a numerical example is used to verify the effectiveness and practicability of the method proposed in this paper.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"517 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123099496","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}
The power load characteristic index is an industry index that describes the characteristics of the load and the law of load change, and is an important reference basis for the decision-making of the power grid dispatching and planning department. However, the medium and long-term load characteristic index data points are sparse, and the forecasting method that only analyzes the data trend has great limitations. Therefore, it is necessary to consider the external influence factors of the load in the forecasting model to improve the effectiveness and accuracy of the forecast. First, the weight-improved gray correlation analysis method is used in the article to evaluate the degree of influence of external factors such as weather, economy, and society on the load characteristic indicators. The factors with low correlation are removed, and then t-SNE is used. Reduce the dimensions of multiple influencing factors to reduce data redundancy. Then build multiple linear and nonlinear regression models of mid and long term load indicators through generalized regression neural network, and determination of optimal super parameters by one dimensional optimization to achieve mid and long term load characteristic indicators prediction. Finally, the feasibility of the method is verified by using relevant data such as load in a certain area of southwest.
{"title":"Load Index Forecasting Method Based on Nonlinear Dimensionality Reduction of Correlated Factors and Generalized Regression Neural Network Fitting","authors":"Weiting Xu, Yuhong Zhang, Hui Liu, Xuna Liu, Fang Liu, Wei Yang, Shu Zhang","doi":"10.1109/ICPSAsia52756.2021.9621507","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621507","url":null,"abstract":"The power load characteristic index is an industry index that describes the characteristics of the load and the law of load change, and is an important reference basis for the decision-making of the power grid dispatching and planning department. However, the medium and long-term load characteristic index data points are sparse, and the forecasting method that only analyzes the data trend has great limitations. Therefore, it is necessary to consider the external influence factors of the load in the forecasting model to improve the effectiveness and accuracy of the forecast. First, the weight-improved gray correlation analysis method is used in the article to evaluate the degree of influence of external factors such as weather, economy, and society on the load characteristic indicators. The factors with low correlation are removed, and then t-SNE is used. Reduce the dimensions of multiple influencing factors to reduce data redundancy. Then build multiple linear and nonlinear regression models of mid and long term load indicators through generalized regression neural network, and determination of optimal super parameters by one dimensional optimization to achieve mid and long term load characteristic indicators prediction. Finally, the feasibility of the method is verified by using relevant data such as load in a certain area of southwest.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121801416","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 : 2021-07-18DOI: 10.1109/ICPSAsia52756.2021.9621540
Qing Wang, Hui Hou, Bo Zhao, Leiqi Zhang, Xixiu Wu, C. Xie
Power load forecasting used to rely on some key data such as weather information and regional information. However, it is usually difficult to obtain accurate data of all influencing factors. For this reason, we adopted phase space reconstruction of chaos theory to process the historical load series to avoid collecting some key data. To forecast ahead of time and solve the divergence of forecasting error caused by forecasting ahead of time, this paper proposes a rolling load forecasting method and apply long-short term memory (LSTM) to solve them. The rolling forecasting method is to predict a forecast length in advance, and the test data of LSTM is obtained by shifting a forecast length of training data. This method can not only predict ahead, but also predict the longer-term data through keeping shifting. The proposed methodology is implemented on the PJM power grid dataset in the United States. Compared with some other methods, the results show that the proposed rolling load forecasting model is of more accurate prediction.
{"title":"Load Forecasting Combining Chaos Theory and Long-Short Term Memory in Absence of Key Information","authors":"Qing Wang, Hui Hou, Bo Zhao, Leiqi Zhang, Xixiu Wu, C. Xie","doi":"10.1109/ICPSAsia52756.2021.9621540","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621540","url":null,"abstract":"Power load forecasting used to rely on some key data such as weather information and regional information. However, it is usually difficult to obtain accurate data of all influencing factors. For this reason, we adopted phase space reconstruction of chaos theory to process the historical load series to avoid collecting some key data. To forecast ahead of time and solve the divergence of forecasting error caused by forecasting ahead of time, this paper proposes a rolling load forecasting method and apply long-short term memory (LSTM) to solve them. The rolling forecasting method is to predict a forecast length in advance, and the test data of LSTM is obtained by shifting a forecast length of training data. This method can not only predict ahead, but also predict the longer-term data through keeping shifting. The proposed methodology is implemented on the PJM power grid dataset in the United States. Compared with some other methods, the results show that the proposed rolling load forecasting model is of more accurate prediction.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122877284","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}
With the gradual transformation of the energy structure, energy storage has become an indispensable important support and auxiliary technology for low-carbon energy systems. The development of electrochemical energy storage technology has advanced rapidly in recent years. Cost reduction, technological breakthroughs, strong support from national policies, and power market reforms have created favorable conditions for the commercial application of electrochemical energy storage technology. However, energy storage, which has attracted much attention, is an emerging industry with great uncertainty, and its development is full of opportunities and risks. The article uses the SWOT model to analyze the commercial application of electrochemical energy storage, and summarizes a variety of internal and external factors that affect the commercial promotion of electrochemical energy storage. Then a case study of Xinjiang wind plant energy storage configuration is used to illustrate that electrochemical energy storage systems can participate in a variety of service application scenarios and achieve significant benefits. Our work provides a reference for companies to formulate strategic plans for energy storage projects, and puts forward suggestions on the commercialization and largescale development of the energy storage industry.
{"title":"SWOT-Based Analysis of Commercial Benefits of Electrochemical Energy Storage","authors":"Jiaxi Ren, Mingqiang Ou, Zhongping Yu, Guokang Yu, Weiyang Hu, Yingyun Sun","doi":"10.1109/ICPSAsia52756.2021.9621669","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621669","url":null,"abstract":"With the gradual transformation of the energy structure, energy storage has become an indispensable important support and auxiliary technology for low-carbon energy systems. The development of electrochemical energy storage technology has advanced rapidly in recent years. Cost reduction, technological breakthroughs, strong support from national policies, and power market reforms have created favorable conditions for the commercial application of electrochemical energy storage technology. However, energy storage, which has attracted much attention, is an emerging industry with great uncertainty, and its development is full of opportunities and risks. The article uses the SWOT model to analyze the commercial application of electrochemical energy storage, and summarizes a variety of internal and external factors that affect the commercial promotion of electrochemical energy storage. Then a case study of Xinjiang wind plant energy storage configuration is used to illustrate that electrochemical energy storage systems can participate in a variety of service application scenarios and achieve significant benefits. Our work provides a reference for companies to formulate strategic plans for energy storage projects, and puts forward suggestions on the commercialization and largescale development of the energy storage industry.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"63 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122884979","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 : 2021-07-18DOI: 10.1109/ICPSAsia52756.2021.9621585
Shutong Duan, H. Sui, Shoukun Zhang
With the randomness of charging electric vehicles (EV), it’s more challenging to formulate effective and reasonable electric vehicle scheduling strategies. Due to the price advantage of the power grid, a master-slave game model is developed, in which the grid is the game subject and the electric vehicle is the game subordinate. The particle swarm algorithm is used to obtain the optimal time-of-use electricity price strategy and grid dispatching strategy. Furthermore, the simulation experiment is designed with MATLAB. It is proved that the proposed model has an optimizing effect on the load curve and can reduce the peak-valley difference.
{"title":"Orderly Charging Strategy for Electric Vehicles Based on Master-Slave Game","authors":"Shutong Duan, H. Sui, Shoukun Zhang","doi":"10.1109/ICPSAsia52756.2021.9621585","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621585","url":null,"abstract":"With the randomness of charging electric vehicles (EV), it’s more challenging to formulate effective and reasonable electric vehicle scheduling strategies. Due to the price advantage of the power grid, a master-slave game model is developed, in which the grid is the game subject and the electric vehicle is the game subordinate. The particle swarm algorithm is used to obtain the optimal time-of-use electricity price strategy and grid dispatching strategy. Furthermore, the simulation experiment is designed with MATLAB. It is proved that the proposed model has an optimizing effect on the load curve and can reduce the peak-valley difference.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125799341","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 : 2021-07-18DOI: 10.1109/ICPSAsia52756.2021.9621371
Jianxun Li, Bo Zhu, Yunhan Guo, Zipeng Liang, Hongbin Wu, Hongshun Liu
The hybrid DC transmission technology which fully combines the economic and technological advantages of LCC (Line Commutated Converter) and MMC (Modular Multilevel Converter) has developed rapidly due to its large transmission capacity and no commutation failure, etc. This paper takes Kunliulong hybrid three-terminal DC transmission project with conventional UHV converter station at the sending end and hybrid valve flexible UHV converter station at the receiving end as an example, analyzing the operation mechanism of hybrid three-terminal HVDC system. In this paper, a simulation model of hybrid three-terminal DC transmission system is established and a controller of hybrid three-terminal DC transmission system is designed by using simulation software based on line topology and parameters. The Kunliulong project is qualitatively analyzed under normal operation, single station operation and out of operation conditions, which provides reference and basis for the reconstruction and expansion of Kunliulong UHV multi-terminal Hybrid DC transmission project and other DC projects.
{"title":"The Simulation of Kunliulong Flexible DC Project with Single Station Operation and out of Operation","authors":"Jianxun Li, Bo Zhu, Yunhan Guo, Zipeng Liang, Hongbin Wu, Hongshun Liu","doi":"10.1109/ICPSAsia52756.2021.9621371","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621371","url":null,"abstract":"The hybrid DC transmission technology which fully combines the economic and technological advantages of LCC (Line Commutated Converter) and MMC (Modular Multilevel Converter) has developed rapidly due to its large transmission capacity and no commutation failure, etc. This paper takes Kunliulong hybrid three-terminal DC transmission project with conventional UHV converter station at the sending end and hybrid valve flexible UHV converter station at the receiving end as an example, analyzing the operation mechanism of hybrid three-terminal HVDC system. In this paper, a simulation model of hybrid three-terminal DC transmission system is established and a controller of hybrid three-terminal DC transmission system is designed by using simulation software based on line topology and parameters. The Kunliulong project is qualitatively analyzed under normal operation, single station operation and out of operation conditions, which provides reference and basis for the reconstruction and expansion of Kunliulong UHV multi-terminal Hybrid DC transmission project and other DC projects.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129768573","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 : 2021-07-18DOI: 10.1109/ICPSAsia52756.2021.9621475
Qibing Wang, Xin-hui Du, Kai-Lun Zhang, Junjun Pan, Weiguo Yu, Xiaoquan Gao, Rihong Lin
Aiming at the problems of imperfect dynamic verification of power grid security and stability control strategy and high test cost, a reliability test method of power grid security control system based on BP neural network and dynamic group simulation is proposed. Firstly, the fault simulation results of real-time digital simulation system (RTDS) software are taken as the data source, and the dynamic test data are obtained with the help of the existing dispatching data network, wireless virtual private network, global positioning system and other communication resources; Secondly, the important test items are selected through the minimum redundancy maximum correlation algorithm, and the test items are used to form a feature set, and then the BP neural network model is used to predict the test results. Finally, the dynamic remote test platform is tested by the dynamic whole group simulation of the security and stability control system. Compared with the traditional test methods, the proposed method reduces the test cost by more than 50%. Experimental results show that the proposed method can effectively complete the reliability test of power grid security control system based on dynamic group simulation, and reduce the test cost.
{"title":"Reliability Test Method of Power Grid Security Control System Based on BP Neural Network and Dynamic Group Simulation","authors":"Qibing Wang, Xin-hui Du, Kai-Lun Zhang, Junjun Pan, Weiguo Yu, Xiaoquan Gao, Rihong Lin","doi":"10.1109/ICPSAsia52756.2021.9621475","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621475","url":null,"abstract":"Aiming at the problems of imperfect dynamic verification of power grid security and stability control strategy and high test cost, a reliability test method of power grid security control system based on BP neural network and dynamic group simulation is proposed. Firstly, the fault simulation results of real-time digital simulation system (RTDS) software are taken as the data source, and the dynamic test data are obtained with the help of the existing dispatching data network, wireless virtual private network, global positioning system and other communication resources; Secondly, the important test items are selected through the minimum redundancy maximum correlation algorithm, and the test items are used to form a feature set, and then the BP neural network model is used to predict the test results. Finally, the dynamic remote test platform is tested by the dynamic whole group simulation of the security and stability control system. Compared with the traditional test methods, the proposed method reduces the test cost by more than 50%. Experimental results show that the proposed method can effectively complete the reliability test of power grid security control system based on dynamic group simulation, and reduce the test cost.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"10 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129228027","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 : 2021-07-18DOI: 10.1109/ICPSAsia52756.2021.9621379
Ke Li, Wenbo Xue, Shenxi Zhang, Kaihua Jiang, Zhen Lu, Z. Hong, Zhijian Jin
The high temperature superconductor (HTS) CORC cable shows a great advantage on high-capacity power transmission. AC loss in HTS can considerably affect the efficiency of HTS cable during operation, which has to be calculated accurately in the cable design. The high capacity CORC cable often has dozens of HTS tape in parallel, which leads to a great challenge for the 3D electromagnetic modeling. This study is to conduct a fast AC loss calculation on the CORC cable by applying simplified 2D models, meanwhile, the results have enough accuracy for engineering applications. Two 2D simplified electromagnetic models based on H-formulation is developed for the AC loss calculation of CORC cable. Their accuracy is studied in detail by comparing with 3D models. The results show that air gap is the most important factor in the magnification loss calculation of CORC cable. In the simplified 2D models, the air gap should be the same with the physical one, which can significantly reduce the discrepancy. The 2D models are more accurate at high applied magnetic fields, and the discrepancy increased rapidly with decrease of applied fields. This study is useful for the fast and accurate AC loss calculation of high capacity HTS CORC cables.
{"title":"Fast AC Loss Calculation for Superconducting High Capacity Power Transmission Line","authors":"Ke Li, Wenbo Xue, Shenxi Zhang, Kaihua Jiang, Zhen Lu, Z. Hong, Zhijian Jin","doi":"10.1109/ICPSAsia52756.2021.9621379","DOIUrl":"https://doi.org/10.1109/ICPSAsia52756.2021.9621379","url":null,"abstract":"The high temperature superconductor (HTS) CORC cable shows a great advantage on high-capacity power transmission. AC loss in HTS can considerably affect the efficiency of HTS cable during operation, which has to be calculated accurately in the cable design. The high capacity CORC cable often has dozens of HTS tape in parallel, which leads to a great challenge for the 3D electromagnetic modeling. This study is to conduct a fast AC loss calculation on the CORC cable by applying simplified 2D models, meanwhile, the results have enough accuracy for engineering applications. Two 2D simplified electromagnetic models based on H-formulation is developed for the AC loss calculation of CORC cable. Their accuracy is studied in detail by comparing with 3D models. The results show that air gap is the most important factor in the magnification loss calculation of CORC cable. In the simplified 2D models, the air gap should be the same with the physical one, which can significantly reduce the discrepancy. The 2D models are more accurate at high applied magnetic fields, and the discrepancy increased rapidly with decrease of applied fields. This study is useful for the fast and accurate AC loss calculation of high capacity HTS CORC cables.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130743218","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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