Pub Date : 2018-11-01DOI: 10.1109/CIEEC.2018.8745826
Huiqing Du, Daomeng Cai, Sen Yang, Zongju Cai
In order to solve the current harmonic and voltage regulation problems of three-level boost converter operating in discontinuous conduction mode, a circuit parameter optimization method is proposed. The continuous-time-domain mathematical models under four basic modes are established, and the output voltage gains are derived in two conduction modes. Different conduction modes are compared and analyzed from several aspects to improve the system’s performance. In this paper, the critical conduction conditions are derived to optimize circuit parameters, guaranteeing the system to work in continuous conduction mode in the entire duty ratio. Finally, the correctness of theoretical analysis is verified by simulation results.
{"title":"Operating Characteristics Analysis and Parameter Optimization of Three-Level Boost Converter","authors":"Huiqing Du, Daomeng Cai, Sen Yang, Zongju Cai","doi":"10.1109/CIEEC.2018.8745826","DOIUrl":"https://doi.org/10.1109/CIEEC.2018.8745826","url":null,"abstract":"In order to solve the current harmonic and voltage regulation problems of three-level boost converter operating in discontinuous conduction mode, a circuit parameter optimization method is proposed. The continuous-time-domain mathematical models under four basic modes are established, and the output voltage gains are derived in two conduction modes. Different conduction modes are compared and analyzed from several aspects to improve the system’s performance. In this paper, the critical conduction conditions are derived to optimize circuit parameters, guaranteeing the system to work in continuous conduction mode in the entire duty ratio. Finally, the correctness of theoretical analysis is verified by simulation results.","PeriodicalId":329285,"journal":{"name":"2018 IEEE 2nd International Electrical and Energy Conference (CIEEC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134560095","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 : 2018-11-01DOI: 10.1109/CIEEC.2018.8745983
Shiyi Ma, Jun Wu, Zhihui Liu, T. Xu, Wei Ma, Xuezhi Wu, L. Jing
In the hybrid AC/DC microgrid, the random fluctuations of the PV output power will cause the voltage variation of microgrid bus. The power fluctuations have significant negative effects on the power quality and reliability of the hybrid AC/DC microgrid. A fast charging and discharging control of energy storage and PV power limited operation control based on the power fluctuation characteristic is proposed in this paper. The two controls cooperate so that the fluctuation of PV power can be effectively suppressed. First of all, the autoregressive moving average algorithm (ARIMA) is used to predict ultra-short term forecasting of PV power generation, and the limited power operation mode of PV is whether to enter is determined by the predicted results. Then, in the limited power operation mode, the power limit percentage is adjusted dynamically through the PI algorithm according to the size of PV power fluctuations. Finally, an adaptive Kalman filtering algorithm is proposed in this paper to optimize the control of charging and discharging of energy storage device. The filter parameters can be adjusted automatically through the state of charging (SOC) of energy storage device, ensuring the safe operation of the energy storage device. Simulation results show that the above algorithms can be effectively coordinated, significantly reduce the fluctuation of PV power, and make the hybrid AC/DC microgrid operating safer.
{"title":"Impact and Solution of PV Power Fluctuations on Operation of Hybrid AC/DC Microgrid","authors":"Shiyi Ma, Jun Wu, Zhihui Liu, T. Xu, Wei Ma, Xuezhi Wu, L. Jing","doi":"10.1109/CIEEC.2018.8745983","DOIUrl":"https://doi.org/10.1109/CIEEC.2018.8745983","url":null,"abstract":"In the hybrid AC/DC microgrid, the random fluctuations of the PV output power will cause the voltage variation of microgrid bus. The power fluctuations have significant negative effects on the power quality and reliability of the hybrid AC/DC microgrid. A fast charging and discharging control of energy storage and PV power limited operation control based on the power fluctuation characteristic is proposed in this paper. The two controls cooperate so that the fluctuation of PV power can be effectively suppressed. First of all, the autoregressive moving average algorithm (ARIMA) is used to predict ultra-short term forecasting of PV power generation, and the limited power operation mode of PV is whether to enter is determined by the predicted results. Then, in the limited power operation mode, the power limit percentage is adjusted dynamically through the PI algorithm according to the size of PV power fluctuations. Finally, an adaptive Kalman filtering algorithm is proposed in this paper to optimize the control of charging and discharging of energy storage device. The filter parameters can be adjusted automatically through the state of charging (SOC) of energy storage device, ensuring the safe operation of the energy storage device. Simulation results show that the above algorithms can be effectively coordinated, significantly reduce the fluctuation of PV power, and make the hybrid AC/DC microgrid operating safer.","PeriodicalId":329285,"journal":{"name":"2018 IEEE 2nd International Electrical and Energy Conference (CIEEC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117335622","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}
Distribution line parameter estimation is the basis of state estimation for distribution network, which directly affects the accuracy of state estimation results, however, not only the distribution network has many load points and wide power supply area but also the structure of medium and low voltage lines in it is complex, which challenges the estimation of line parameters. This paper proposes a method for estimating the line parameters of the radial distribution network based on geographic information. Firstly, carry out cluster analysis for the spatial power load points, which are mined from the open source POI information set that collected by the web crawler technology, to extract the load aggregation points, and then the cable selection and the line length estimation are performed on the main trunk line and the branch line respectively: for the main trunk line, cable selection is performed according to the total load of its power supply area and the line length is estimated using the geographic information of its beginning and ending points and corner points, which is extracted from the main trunk line, that determined by the distribution of power pipeline, power load, urban block and the road; for the branch line, the length of branch line is estimated based on its geographic information, which is extracted by determining branch line path with the detailed geographic information of the main trunk line extracted based on the RGB color mode and the spatial distribution of the load aggregation points, and the cable selection is performed according to the power load of the load aggregation point connected to the line. Finally, according to cable selection result, determine the impedance value per unit length of cable and multiply it to the branch line length to get the line parameters. Taking a medium voltage distribution network as an example, this paper completes the estimation of distribution network line parameters based on open source information and geographic information system, which shows that the method proposed in this paper provides a feasible estimation method of line parameter for medium and low voltage distribution networks and it has practical application value.
{"title":"Method of Line Parameter Estimation in Distribution Network Based on Geographic Information","authors":"Wanbing Liu, Yan Li, Chenguang Yang, Shaorong Wang, Wei Xie, Ping Ling","doi":"10.1109/CIEEC.2018.8745887","DOIUrl":"https://doi.org/10.1109/CIEEC.2018.8745887","url":null,"abstract":"Distribution line parameter estimation is the basis of state estimation for distribution network, which directly affects the accuracy of state estimation results, however, not only the distribution network has many load points and wide power supply area but also the structure of medium and low voltage lines in it is complex, which challenges the estimation of line parameters. This paper proposes a method for estimating the line parameters of the radial distribution network based on geographic information. Firstly, carry out cluster analysis for the spatial power load points, which are mined from the open source POI information set that collected by the web crawler technology, to extract the load aggregation points, and then the cable selection and the line length estimation are performed on the main trunk line and the branch line respectively: for the main trunk line, cable selection is performed according to the total load of its power supply area and the line length is estimated using the geographic information of its beginning and ending points and corner points, which is extracted from the main trunk line, that determined by the distribution of power pipeline, power load, urban block and the road; for the branch line, the length of branch line is estimated based on its geographic information, which is extracted by determining branch line path with the detailed geographic information of the main trunk line extracted based on the RGB color mode and the spatial distribution of the load aggregation points, and the cable selection is performed according to the power load of the load aggregation point connected to the line. Finally, according to cable selection result, determine the impedance value per unit length of cable and multiply it to the branch line length to get the line parameters. Taking a medium voltage distribution network as an example, this paper completes the estimation of distribution network line parameters based on open source information and geographic information system, which shows that the method proposed in this paper provides a feasible estimation method of line parameter for medium and low voltage distribution networks and it has practical application value.","PeriodicalId":329285,"journal":{"name":"2018 IEEE 2nd International Electrical and Energy Conference (CIEEC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133713587","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 : 2018-11-01DOI: 10.1109/cieec.2018.8745893
{"title":"CIEEC 2018 Cover Page","authors":"","doi":"10.1109/cieec.2018.8745893","DOIUrl":"https://doi.org/10.1109/cieec.2018.8745893","url":null,"abstract":"","PeriodicalId":329285,"journal":{"name":"2018 IEEE 2nd International Electrical and Energy Conference (CIEEC)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134494216","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 : 2018-11-01DOI: 10.1109/CIEEC.2018.8745774
Lei Cao, Qing Guo, Kuang Sheng
In this paper, the short circuit robustness of SiC trench MOSFETs is analyzed and compared with SiC planar MOSFETs. Thermal simulation during short circuit operations are studied in this work. A short circuit test bench is constructed for tests of MOSFETs. Commercially available 650V SiC trench MOSFETs and planar MOSFETs with similar rated voltage and on-state resistance are tested. From experimental results, the 650V SiC trench MOSFET fails much earlier than 650V SiC Planar MOSFET. The test results are analyzed with aid of one dimensional finite element thermal model. The model is constructed based on structure parameters. According to the thermal model, the dominant factor of a weaker short circuit robustness of SiC trench MOSFET is the highly concentrated distribution of electric field as well as intense current density during short circuit operation.
{"title":"Comparative Evaluation of the Short circuit Capability of SiC Planar and Trench Power MOSFET","authors":"Lei Cao, Qing Guo, Kuang Sheng","doi":"10.1109/CIEEC.2018.8745774","DOIUrl":"https://doi.org/10.1109/CIEEC.2018.8745774","url":null,"abstract":"In this paper, the short circuit robustness of SiC trench MOSFETs is analyzed and compared with SiC planar MOSFETs. Thermal simulation during short circuit operations are studied in this work. A short circuit test bench is constructed for tests of MOSFETs. Commercially available 650V SiC trench MOSFETs and planar MOSFETs with similar rated voltage and on-state resistance are tested. From experimental results, the 650V SiC trench MOSFET fails much earlier than 650V SiC Planar MOSFET. The test results are analyzed with aid of one dimensional finite element thermal model. The model is constructed based on structure parameters. According to the thermal model, the dominant factor of a weaker short circuit robustness of SiC trench MOSFET is the highly concentrated distribution of electric field as well as intense current density during short circuit operation.","PeriodicalId":329285,"journal":{"name":"2018 IEEE 2nd International Electrical and Energy Conference (CIEEC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114648589","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 : 2018-11-01DOI: 10.1109/CIEEC.2018.8745734
Haifeng Liang, Yue Dong, Dawei Cao, Zixing Liu
The reliability of microgrid running in island mode with wind farm is evaluated in this paper. The concept of equivalent power characteristic of wind turbine is proposed to obtain the actual available output of the whole wind farm. And then its probability distribution is modeled by using Gauss mixture model (GMM), of which the superiority is proved by comparing with other distribution function models. The working state of the power components is sampled by using Monte Carlo simulation method to study the variation trend of the reliability index of microgrid running in island mode with wind farm. And then the probability distribution of reliability index is obtained. Meanwhile, the indicators value at risk (VaR) and conditional value at risk (CVaR) are introduced to analyze the microgrid reliability, which can fully reflect the influence of the probabilistic fluctuation of wind farm output on microgrid operation reliability.
{"title":"Reliability Assessment of Microgrid Island Operation Considering Probability Distribution of Wind Farm Output","authors":"Haifeng Liang, Yue Dong, Dawei Cao, Zixing Liu","doi":"10.1109/CIEEC.2018.8745734","DOIUrl":"https://doi.org/10.1109/CIEEC.2018.8745734","url":null,"abstract":"The reliability of microgrid running in island mode with wind farm is evaluated in this paper. The concept of equivalent power characteristic of wind turbine is proposed to obtain the actual available output of the whole wind farm. And then its probability distribution is modeled by using Gauss mixture model (GMM), of which the superiority is proved by comparing with other distribution function models. The working state of the power components is sampled by using Monte Carlo simulation method to study the variation trend of the reliability index of microgrid running in island mode with wind farm. And then the probability distribution of reliability index is obtained. Meanwhile, the indicators value at risk (VaR) and conditional value at risk (CVaR) are introduced to analyze the microgrid reliability, which can fully reflect the influence of the probabilistic fluctuation of wind farm output on microgrid operation reliability.","PeriodicalId":329285,"journal":{"name":"2018 IEEE 2nd International Electrical and Energy Conference (CIEEC)","volume":"162 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114736148","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 : 2018-11-01DOI: 10.1109/CIEEC.2018.8745745
Xin Nie, Ming Li
This paper introduces a new computer routine aiming to facilitate the generation of frequency-dependent parameters for wide-band overhead transmission line models. The routine is developed with C++ programming language and Qt, a cross-platform Graphical User Interface library. Compared to the Line Constants program available in PSCAD/EMTDC, ATP/EMTP and EMTP-RV, the new routine uses Sunde’s improvement on Carson’s earth-return formula, which elevates data consistency at very high frequencies. It incorporates automatic ground wire and bundle conductor reduction functionalities to eliminate unnecessary data. The generated parameters can be exported to MATLAB for further data processing. With Qt, the routine is able to display visualized typical plots of per unit length impedance etc., with adequate flexibility for user interactions. A case study shows close match of generated data compared to those by EMTP-RV.
{"title":"A New Routine for Generating Wide-band Overhead Line Conductor Data","authors":"Xin Nie, Ming Li","doi":"10.1109/CIEEC.2018.8745745","DOIUrl":"https://doi.org/10.1109/CIEEC.2018.8745745","url":null,"abstract":"This paper introduces a new computer routine aiming to facilitate the generation of frequency-dependent parameters for wide-band overhead transmission line models. The routine is developed with C++ programming language and Qt, a cross-platform Graphical User Interface library. Compared to the Line Constants program available in PSCAD/EMTDC, ATP/EMTP and EMTP-RV, the new routine uses Sunde’s improvement on Carson’s earth-return formula, which elevates data consistency at very high frequencies. It incorporates automatic ground wire and bundle conductor reduction functionalities to eliminate unnecessary data. The generated parameters can be exported to MATLAB for further data processing. With Qt, the routine is able to display visualized typical plots of per unit length impedance etc., with adequate flexibility for user interactions. A case study shows close match of generated data compared to those by EMTP-RV.","PeriodicalId":329285,"journal":{"name":"2018 IEEE 2nd International Electrical and Energy Conference (CIEEC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115032924","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 : 2018-11-01DOI: 10.1109/CIEEC.2018.8745730
Kunlin Jiao, Yongkang Zheng, Yi Zhang, Yuqin Xu, Kunlin Jiao, Yi Zhang, Hua Jiang, Xiaotao Wang
The rapid development of China's power industry closely tracks the development trend of national grid intelligence, in order to ensure intelligent substation, as a basis and an important part of the smart grid, safe and stable operation, it is particularly important for the performance of the intelligent substation relay protection device. This paper briefly describes the test method of the secondary system of intelligent substation, from the aspects of integration test and field debugging, the dynamic physical simulation system and real-time digital simulation system are briefly introduced, and the microcomputer-based relay protection tester and its development history are introduced in detail, finally, the possible development direction of future smart substation relay protection test technology is prospected.
{"title":"Discussion of Relay Protection Testing Technology for Intelligent Substation","authors":"Kunlin Jiao, Yongkang Zheng, Yi Zhang, Yuqin Xu, Kunlin Jiao, Yi Zhang, Hua Jiang, Xiaotao Wang","doi":"10.1109/CIEEC.2018.8745730","DOIUrl":"https://doi.org/10.1109/CIEEC.2018.8745730","url":null,"abstract":"The rapid development of China's power industry closely tracks the development trend of national grid intelligence, in order to ensure intelligent substation, as a basis and an important part of the smart grid, safe and stable operation, it is particularly important for the performance of the intelligent substation relay protection device. This paper briefly describes the test method of the secondary system of intelligent substation, from the aspects of integration test and field debugging, the dynamic physical simulation system and real-time digital simulation system are briefly introduced, and the microcomputer-based relay protection tester and its development history are introduced in detail, finally, the possible development direction of future smart substation relay protection test technology is prospected.","PeriodicalId":329285,"journal":{"name":"2018 IEEE 2nd International Electrical and Energy Conference (CIEEC)","volume":"294 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117351773","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 : 2018-11-01DOI: 10.1109/CIEEC.2018.8745735
F. Tang, Hongcai Dai, Xin Chen, Yunqi Zhao
The rapid growth of Development Zones in China leads to a high concentration of energy consumption and promotes the trend of energy integration which includes integrated energy technology and integrated energy service. By analyzing the integrated energy technology trend in depth, this research proposes Gas-sourced Energy Technology Mode, Electricity-sourced Energy Technology Mode, and Integrated Energy Technology Mode. The Integrated Energy Technology Mode in this research fulfills the idea of energy integration and shows the characteristics of "green, efficient, intelligent, and interconnected". To further investigate the current situation of energy integration in China, this research collects "Big Data" of 1,851 Development Zones in 26 provinces (autonomous regions and municipalities) from the eastern, central and western China Based on "Big Data Analysis", this research investigates energy usage patterns, energy demand, and energy supply of various Development Zones. Finally, the integrated energy service trends in different regions are analyzed and the corresponding integrated energy service development strategies are proposed.
{"title":"Integrated Energy Technology and Service Trend in China: Investigation and Analysis on over 1800 Development Zones in Different Regions","authors":"F. Tang, Hongcai Dai, Xin Chen, Yunqi Zhao","doi":"10.1109/CIEEC.2018.8745735","DOIUrl":"https://doi.org/10.1109/CIEEC.2018.8745735","url":null,"abstract":"The rapid growth of Development Zones in China leads to a high concentration of energy consumption and promotes the trend of energy integration which includes integrated energy technology and integrated energy service. By analyzing the integrated energy technology trend in depth, this research proposes Gas-sourced Energy Technology Mode, Electricity-sourced Energy Technology Mode, and Integrated Energy Technology Mode. The Integrated Energy Technology Mode in this research fulfills the idea of energy integration and shows the characteristics of \"green, efficient, intelligent, and interconnected\". To further investigate the current situation of energy integration in China, this research collects \"Big Data\" of 1,851 Development Zones in 26 provinces (autonomous regions and municipalities) from the eastern, central and western China Based on \"Big Data Analysis\", this research investigates energy usage patterns, energy demand, and energy supply of various Development Zones. Finally, the integrated energy service trends in different regions are analyzed and the corresponding integrated energy service development strategies are proposed.","PeriodicalId":329285,"journal":{"name":"2018 IEEE 2nd International Electrical and Energy Conference (CIEEC)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117218608","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 : 2018-11-01DOI: 10.1109/CIEEC.2018.8745873
He He, Zhang Youqiang, Zhong Jiayong, Dai Jian, Gong Qiujing
A new fast method for fault phase selection which can apply to the differential equation algorithm of transmission lines is proposed in this paper. Six kinds of transmission line differential equations are established to describe different types of single-phase fault and phase to phase fault which can be solved by the least square method. The least-squares fitting error of the differential equation which is consistent with the real fault type is smaller, while others are bigger. A fault phase identification method by comparing the relative size of fitting error when solving differential equations under different fault types is proposed. The simulation results show that the proposed method can quickly identify any types and phases of faults with a typical time of 5~6ms and can be unaffected by the fault location and fault resistance. Meanwhile, the method could also work in the weak infeed conditions and has sufficient reliability.
{"title":"A Fast Method for Fault Phase Selection Based on the Fitting Error of Transmission Line Differential Equation Algorithm","authors":"He He, Zhang Youqiang, Zhong Jiayong, Dai Jian, Gong Qiujing","doi":"10.1109/CIEEC.2018.8745873","DOIUrl":"https://doi.org/10.1109/CIEEC.2018.8745873","url":null,"abstract":"A new fast method for fault phase selection which can apply to the differential equation algorithm of transmission lines is proposed in this paper. Six kinds of transmission line differential equations are established to describe different types of single-phase fault and phase to phase fault which can be solved by the least square method. The least-squares fitting error of the differential equation which is consistent with the real fault type is smaller, while others are bigger. A fault phase identification method by comparing the relative size of fitting error when solving differential equations under different fault types is proposed. The simulation results show that the proposed method can quickly identify any types and phases of faults with a typical time of 5~6ms and can be unaffected by the fault location and fault resistance. Meanwhile, the method could also work in the weak infeed conditions and has sufficient reliability.","PeriodicalId":329285,"journal":{"name":"2018 IEEE 2nd International Electrical and Energy Conference (CIEEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129816630","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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