Pub Date : 2021-04-01DOI: 10.1109/ACPEE51499.2021.9436926
Dalian Wang, Siqi Li, Congcong Li, Yingying Zhang
The DC-DC power supply has been widely used in the fields of industry, military and other fields with high efficiency and low cost, and it is also becoming more and more important to the fault diagnosis and analysis of the DC-DC power supply. In this article, based on the failure mode and effects analysis (FMEA) and the fault tree analysis (FTA) method, a 48V DC-DC power supply is used as an application example, and the possible mode of the fault can be obtained by analyzing the circuit principle of the power supply, and then the possible cause of the failure is analyzed, and the fault tree is finally drawn. According to the change of the simulated output voltage waveform, it can provide guidance for the troubleshooting and rapid positioning of the actual project. The fault diagnosis and analysis method for the DC-DC power supply is suitable for other similar power sources, and the application of power supply in practical engineering is promoted.
{"title":"Fault Diagnosis Analysis and Application of DC-DC Power Supply based on FMEA and FTA","authors":"Dalian Wang, Siqi Li, Congcong Li, Yingying Zhang","doi":"10.1109/ACPEE51499.2021.9436926","DOIUrl":"https://doi.org/10.1109/ACPEE51499.2021.9436926","url":null,"abstract":"The DC-DC power supply has been widely used in the fields of industry, military and other fields with high efficiency and low cost, and it is also becoming more and more important to the fault diagnosis and analysis of the DC-DC power supply. In this article, based on the failure mode and effects analysis (FMEA) and the fault tree analysis (FTA) method, a 48V DC-DC power supply is used as an application example, and the possible mode of the fault can be obtained by analyzing the circuit principle of the power supply, and then the possible cause of the failure is analyzed, and the fault tree is finally drawn. According to the change of the simulated output voltage waveform, it can provide guidance for the troubleshooting and rapid positioning of the actual project. The fault diagnosis and analysis method for the DC-DC power supply is suitable for other similar power sources, and the application of power supply in practical engineering is promoted.","PeriodicalId":127882,"journal":{"name":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129474537","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 : 2021-04-01DOI: 10.1109/ACPEE51499.2021.9437117
Jingyan Liu, Pu Zhang, Qing Fang, Defei Yao, Xuenan Li, Jiayin Song, Siqi Guo, Ying Lian
The accurate and flexible observation, measurement and control of load is realized by the rapid development of big data, cloud computing technologies. Beijing power grid demand side resources has great potential for the adjustable, flexible and controllable load distribution. It is of great significance to study the response characteristics of flexible and controllable loads, establish the curve model of controllable loads and optimize the load curves of the power grid at all levels to explore a new power grid development mode of flexible interaction between multiple loads and the power grid. This paper presents the study of the flexible controllable load response characteristics based on Beijing power grid, established a controllable load curve model and control strategy. optimized the load curve at full voltage level in the grid. This research explores the new development of diversified load and the trend of flexible interactive networks in the future power grid.
{"title":"Load Optimization and Control Strategy Research Based on Flexible and Controllable Load Characteristics","authors":"Jingyan Liu, Pu Zhang, Qing Fang, Defei Yao, Xuenan Li, Jiayin Song, Siqi Guo, Ying Lian","doi":"10.1109/ACPEE51499.2021.9437117","DOIUrl":"https://doi.org/10.1109/ACPEE51499.2021.9437117","url":null,"abstract":"The accurate and flexible observation, measurement and control of load is realized by the rapid development of big data, cloud computing technologies. Beijing power grid demand side resources has great potential for the adjustable, flexible and controllable load distribution. It is of great significance to study the response characteristics of flexible and controllable loads, establish the curve model of controllable loads and optimize the load curves of the power grid at all levels to explore a new power grid development mode of flexible interaction between multiple loads and the power grid. This paper presents the study of the flexible controllable load response characteristics based on Beijing power grid, established a controllable load curve model and control strategy. optimized the load curve at full voltage level in the grid. This research explores the new development of diversified load and the trend of flexible interactive networks in the future power grid.","PeriodicalId":127882,"journal":{"name":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129691293","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 : 2021-04-01DOI: 10.1109/ACPEE51499.2021.9436840
Yan Li, Yazhong Ye, Hong Li, Haifeng Liang, Qun Zhang, Qingshan Wang, Qiong Wang
Multi-station integration is conducive to intensive and efficient utilization of resources and provides basic guarantee for the construction of ubiquitous power internet of things. This paper studies the integration mode of "substation + data center station + battery energy storage station", and further explores the energy supply structure of the multi-station integration energy service station under different integrated element scenarios. Secondly, the planning-operation bi-layer model of multi-station integration is established, which aims at minimizing the total economic cost of equivalent annual value, and comprehensively considers the characteristics of multi-energy complementary energy flow of the system as well as the operation constraints under the function positioning of substations. Then the CPLEX solver is called under the YALMIP platform through MATLAB and combined with the improved particle swarm algorithm to complete the interactive solution of the upper and lower model. Finally, an example is used to verify the correctness of the model and analyze the economics of multi-station integration, which provides a reference for the actual construction of multi-station integration.
{"title":"Scenarios Analysis and Energy Supply Optimization Configuration for Multi-station Integration","authors":"Yan Li, Yazhong Ye, Hong Li, Haifeng Liang, Qun Zhang, Qingshan Wang, Qiong Wang","doi":"10.1109/ACPEE51499.2021.9436840","DOIUrl":"https://doi.org/10.1109/ACPEE51499.2021.9436840","url":null,"abstract":"Multi-station integration is conducive to intensive and efficient utilization of resources and provides basic guarantee for the construction of ubiquitous power internet of things. This paper studies the integration mode of \"substation + data center station + battery energy storage station\", and further explores the energy supply structure of the multi-station integration energy service station under different integrated element scenarios. Secondly, the planning-operation bi-layer model of multi-station integration is established, which aims at minimizing the total economic cost of equivalent annual value, and comprehensively considers the characteristics of multi-energy complementary energy flow of the system as well as the operation constraints under the function positioning of substations. Then the CPLEX solver is called under the YALMIP platform through MATLAB and combined with the improved particle swarm algorithm to complete the interactive solution of the upper and lower model. Finally, an example is used to verify the correctness of the model and analyze the economics of multi-station integration, which provides a reference for the actual construction of multi-station integration.","PeriodicalId":127882,"journal":{"name":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129755268","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 : 2021-04-01DOI: 10.1109/ACPEE51499.2021.9436946
Tao Liu, Haibo Yu, H. Yin, Zhenlei Zhang, Zhiwei Sui, Dianchao Zhu, Lu Gao, Zhen Li
This article introduces the research and application of digital twin technology in the development of power grids. It relies on the Planning Information System management platform of the State Grid Corporation of China, with the goal of scientifically leading the development of a strong smart grid. It takes the Internet of things, blockchain, big data and other technologies as the support, and integrates massive data such as power, pipe trench corridor, regulatory planning and meteorological data, to build an online platform on which the power grid can be planned, constructed, and operated. At present, the Planning Information System platform is based on digital twin technology, which has integrated 22 sets of professional systems such as infrastructure, dispatching, equipment and marketing, and has access to 334 categories and 56 billion pieces of data such as equipment ledger, operation curve, project data and space resources. Through the above research, we have realized the "digital twin" of "physical power grid" and "online power grid", which supports the high-quality development of power grid business.
{"title":"Research and Application of Digital Twin Technology in Power Grid Development Business","authors":"Tao Liu, Haibo Yu, H. Yin, Zhenlei Zhang, Zhiwei Sui, Dianchao Zhu, Lu Gao, Zhen Li","doi":"10.1109/ACPEE51499.2021.9436946","DOIUrl":"https://doi.org/10.1109/ACPEE51499.2021.9436946","url":null,"abstract":"This article introduces the research and application of digital twin technology in the development of power grids. It relies on the Planning Information System management platform of the State Grid Corporation of China, with the goal of scientifically leading the development of a strong smart grid. It takes the Internet of things, blockchain, big data and other technologies as the support, and integrates massive data such as power, pipe trench corridor, regulatory planning and meteorological data, to build an online platform on which the power grid can be planned, constructed, and operated. At present, the Planning Information System platform is based on digital twin technology, which has integrated 22 sets of professional systems such as infrastructure, dispatching, equipment and marketing, and has access to 334 categories and 56 billion pieces of data such as equipment ledger, operation curve, project data and space resources. Through the above research, we have realized the \"digital twin\" of \"physical power grid\" and \"online power grid\", which supports the high-quality development of power grid business.","PeriodicalId":127882,"journal":{"name":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124262726","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 : 2021-04-01DOI: 10.1109/ACPEE51499.2021.9436866
A. A. Bhatti, Bin Yang, Xiaosheng Peng, Zhanran Xia, L. Dong, Hongyu Wang, Qiyou Xu
The cable joint is a very complex and sensitive part of the electrical cable. Defects in the cable joint and accessories cause deterioration and degradation of the insulation system because of improper performance, production, assembly, and bad installation. The defects in the cable joints may lead significantly to an increase in the temperature distribution. Some specific features and factors represent the cable's working state and the cable joint's temperature behavior. However, the power cable system strength relies on different characteristics such as a cavity, permittivity, size & shape, and cable position. The main purpose of this paper is to determine the temperature distribution behavior of the cable joint effectively and to resolve the shortcoming of the conventional thermal simulation model, based on the concept of heat transfer model and finite element method (FEM) by using COMSOL Software. First, an equivalent model of 11kV cable joint with XLPE and EPDM insulation layers has been designed. Second, the typical artificial particles, including air particles, semiconductor particles, metal particles, knife cut defect, and needle defect, were added to the cable's insulation. Third, the cable joint simulation with each typical particle and defect has been carried out to examine the temperature distribution behavior. The temperature distribution of each particle has been identified individually. The simulation result determines that each particle and defect's temperature distribution behavior has a different response, and the temperature effect change as the particles and defect change.
{"title":"Simulation of Temperature Distribution Behavior of High Voltage Cable Joints with Typical Defects","authors":"A. A. Bhatti, Bin Yang, Xiaosheng Peng, Zhanran Xia, L. Dong, Hongyu Wang, Qiyou Xu","doi":"10.1109/ACPEE51499.2021.9436866","DOIUrl":"https://doi.org/10.1109/ACPEE51499.2021.9436866","url":null,"abstract":"The cable joint is a very complex and sensitive part of the electrical cable. Defects in the cable joint and accessories cause deterioration and degradation of the insulation system because of improper performance, production, assembly, and bad installation. The defects in the cable joints may lead significantly to an increase in the temperature distribution. Some specific features and factors represent the cable's working state and the cable joint's temperature behavior. However, the power cable system strength relies on different characteristics such as a cavity, permittivity, size & shape, and cable position. The main purpose of this paper is to determine the temperature distribution behavior of the cable joint effectively and to resolve the shortcoming of the conventional thermal simulation model, based on the concept of heat transfer model and finite element method (FEM) by using COMSOL Software. First, an equivalent model of 11kV cable joint with XLPE and EPDM insulation layers has been designed. Second, the typical artificial particles, including air particles, semiconductor particles, metal particles, knife cut defect, and needle defect, were added to the cable's insulation. Third, the cable joint simulation with each typical particle and defect has been carried out to examine the temperature distribution behavior. The temperature distribution of each particle has been identified individually. The simulation result determines that each particle and defect's temperature distribution behavior has a different response, and the temperature effect change as the particles and defect change.","PeriodicalId":127882,"journal":{"name":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125071489","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 : 2021-04-01DOI: 10.1109/ACPEE51499.2021.9436956
Fang Lin, Yan Lin, Huiyu Zhang, Daoshan Huang
Power quality monitoring involves multiple types of interrelated data information, and the relationship between data entities is complex and dense, so graph database is more suitable for storage. Based on graph database and power graph computing platform, a power quality monitoring and visualization system based on the graph database is proposed. The power grid spatial data, real-time data of power grid users and equipment, and geographic environment data of power grid topology and its connection are stored through the graph database, so as to calculate the power graph related to power quality monitoring. Through the human-machine interface of the graph database query design, the multi-directional multi-angle visual display of power quality monitoring applications such as voltage sag location and voltage sag risk assessment are carried out.
{"title":"Power quality monitoring and its visualization application based on graph database","authors":"Fang Lin, Yan Lin, Huiyu Zhang, Daoshan Huang","doi":"10.1109/ACPEE51499.2021.9436956","DOIUrl":"https://doi.org/10.1109/ACPEE51499.2021.9436956","url":null,"abstract":"Power quality monitoring involves multiple types of interrelated data information, and the relationship between data entities is complex and dense, so graph database is more suitable for storage. Based on graph database and power graph computing platform, a power quality monitoring and visualization system based on the graph database is proposed. The power grid spatial data, real-time data of power grid users and equipment, and geographic environment data of power grid topology and its connection are stored through the graph database, so as to calculate the power graph related to power quality monitoring. Through the human-machine interface of the graph database query design, the multi-directional multi-angle visual display of power quality monitoring applications such as voltage sag location and voltage sag risk assessment are carried out.","PeriodicalId":127882,"journal":{"name":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126380937","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 : 2021-04-01DOI: 10.1109/ACPEE51499.2021.9436983
B. Han, Z. Xiang, Xiu-juan Chen, L. Ban
This paper studied the use of controllable metal oxide arrester (MOA) to cancel closing resistors of circuit breakers in 750kV system. The principle diagram and control strategy of controllable MOA was introduced. Based on typical system conditions, the limitation effect of controllable MOA on closing overvoltage was studied. The influence of parameters of controllable MOA on overvoltage limitation effect was analyzed. The parameter configuration of controllable MOA for different line length to cancel closing resistor of the circuit breaker was proposed. The energy consumption and power frequency voltage withstand of the controllable MOA under different operating and fault conditions were studied.
{"title":"Study on Controllable MOA in 750kV System to Cancel Closing Resistor of Circuit Breakers","authors":"B. Han, Z. Xiang, Xiu-juan Chen, L. Ban","doi":"10.1109/ACPEE51499.2021.9436983","DOIUrl":"https://doi.org/10.1109/ACPEE51499.2021.9436983","url":null,"abstract":"This paper studied the use of controllable metal oxide arrester (MOA) to cancel closing resistors of circuit breakers in 750kV system. The principle diagram and control strategy of controllable MOA was introduced. Based on typical system conditions, the limitation effect of controllable MOA on closing overvoltage was studied. The influence of parameters of controllable MOA on overvoltage limitation effect was analyzed. The parameter configuration of controllable MOA for different line length to cancel closing resistor of the circuit breaker was proposed. The energy consumption and power frequency voltage withstand of the controllable MOA under different operating and fault conditions were studied.","PeriodicalId":127882,"journal":{"name":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127556564","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 : 2021-04-01DOI: 10.1109/ACPEE51499.2021.9437011
Yufang Liu, Q. Ma, Chao Xu, Dijie Huang
In the new situation of power development, such as the strengthening of incremental distribution business and the implementation of electric energy substitution strategy, with the same as the scale of investment and construction , the demand for upgrading and reconstruction of distribution network continue to increase. It is of great significance to study a set of reasonable and comprehensive evaluation model for medium and long-term dynamic planning investment of distribution network to guide the accurate investment of distribution network. We employ an index system for the investment efficiency of comprehensive performance of distribution network. An optimal combined weight selection model is built based on fuzzy hierarchical clustering analysis. The information entropy and time degree theory are introduced to the expected performance evaluation model of distribution network planning for establishing the dynamic yardstick evaluation method based on data envelopment analysis. Results are shown by analyzing of investment planning strategy of 9 regions in a province to verify the effectiveness and rationality of the proposed method.
{"title":"Yardstick motivation evaluation method for investment of distribution network","authors":"Yufang Liu, Q. Ma, Chao Xu, Dijie Huang","doi":"10.1109/ACPEE51499.2021.9437011","DOIUrl":"https://doi.org/10.1109/ACPEE51499.2021.9437011","url":null,"abstract":"In the new situation of power development, such as the strengthening of incremental distribution business and the implementation of electric energy substitution strategy, with the same as the scale of investment and construction , the demand for upgrading and reconstruction of distribution network continue to increase. It is of great significance to study a set of reasonable and comprehensive evaluation model for medium and long-term dynamic planning investment of distribution network to guide the accurate investment of distribution network. We employ an index system for the investment efficiency of comprehensive performance of distribution network. An optimal combined weight selection model is built based on fuzzy hierarchical clustering analysis. The information entropy and time degree theory are introduced to the expected performance evaluation model of distribution network planning for establishing the dynamic yardstick evaluation method based on data envelopment analysis. Results are shown by analyzing of investment planning strategy of 9 regions in a province to verify the effectiveness and rationality of the proposed method.","PeriodicalId":127882,"journal":{"name":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114205532","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 : 2021-04-01DOI: 10.1109/ACPEE51499.2021.9437023
Quancun Nie, Mingxing Tian, Lijun Sun, Haiyan Wang
AT power supply mode is widely used in high-speed railway. This paper introduces three kinds of AT power supply modes, and combined with the current situation of the harmonic problems in traction network caused by the mixed running of AC-DC electric locomotive and AC-DC-AC EMU, carries out the simulation comparative study on the harmonic characteristics of traction network of multi-vehicle mixed running lines under three kinds of AT power supply modes. Taking SS6B locomotive and CRH2 EMU, which are widely used in the actual situation at present, for examples, the interactive simulation model between the vehicle and traction network is established by using Matlab/Simulink simulation software. Through the simulation analysis of the harmonic characteristics of SS6B electric locomotive and CRH2 EMU, the correctness of the comparison conclusion in this paper is verified. On the basis of the vehicle network interactive simulation model, the harmonic characteristics of the traction network under different traction network lengths, different locomotive positions and different locomotive working conditions of three AT power supply modes were compared and analyzed. The study results show that the vehicle network interactive simulation model established by the three AT power supply modes can accurately reflect the influence of AC-DC locomotive mixed running on the harmonic characteristics of traction network.
{"title":"The Simulation Comparative Study of Traction Network Harmonic Characteristic of Three Kinds of AT Power Supply modes","authors":"Quancun Nie, Mingxing Tian, Lijun Sun, Haiyan Wang","doi":"10.1109/ACPEE51499.2021.9437023","DOIUrl":"https://doi.org/10.1109/ACPEE51499.2021.9437023","url":null,"abstract":"AT power supply mode is widely used in high-speed railway. This paper introduces three kinds of AT power supply modes, and combined with the current situation of the harmonic problems in traction network caused by the mixed running of AC-DC electric locomotive and AC-DC-AC EMU, carries out the simulation comparative study on the harmonic characteristics of traction network of multi-vehicle mixed running lines under three kinds of AT power supply modes. Taking SS6B locomotive and CRH2 EMU, which are widely used in the actual situation at present, for examples, the interactive simulation model between the vehicle and traction network is established by using Matlab/Simulink simulation software. Through the simulation analysis of the harmonic characteristics of SS6B electric locomotive and CRH2 EMU, the correctness of the comparison conclusion in this paper is verified. On the basis of the vehicle network interactive simulation model, the harmonic characteristics of the traction network under different traction network lengths, different locomotive positions and different locomotive working conditions of three AT power supply modes were compared and analyzed. The study results show that the vehicle network interactive simulation model established by the three AT power supply modes can accurately reflect the influence of AC-DC locomotive mixed running on the harmonic characteristics of traction network.","PeriodicalId":127882,"journal":{"name":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122013056","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 : 2021-04-01DOI: 10.1109/ACPEE51499.2021.9437089
Nawaraj Kumar Mahato, Jie Dong, C. Song, Zhimin Chen, Nan Wang, Hongliang Ma, Gangjun Gong
This paper puts forward a Bi-LSTM attention mechanism model based on voltage phasor for electric power system transient stability assessment. The Bi-LSTM attention mechanism is used to map the relationship between voltage phasor and power system transient stability, and by establishing a sample matrix of transient stability information in the initial stage of the perturbation level, the extracted features are more robust, effectively reducing the false and missing samples, thus improving the generalization ability and evaluation performance of the model. Furthermore, by adjusting the network structure parameters of the best evaluation indicator. The mapping model between input features and transient stability is established to further reduce false positives and sample loss, and to improve the accuracy of network model evaluation. The improved model combines Bi-LSTM feature extraction layer and attention mechanism to form a hybrid model for a transient stability classification model, and the IEEE-39 bus New England test system is used to verify the accuracy of the model, and the wide-area noise is introduced into the generated data to evaluate the robustness of the system. Finally, the method is used to realize the transient stability evaluation of the electric power system based on voltage phasor data, and the validity of the proposed model is authenticated by comparative analysis of the proposed hybrid model with another deep learning models.
{"title":"Electric Power System Transient Stability Assessment Based on Bi-LSTM Attention Mechanism","authors":"Nawaraj Kumar Mahato, Jie Dong, C. Song, Zhimin Chen, Nan Wang, Hongliang Ma, Gangjun Gong","doi":"10.1109/ACPEE51499.2021.9437089","DOIUrl":"https://doi.org/10.1109/ACPEE51499.2021.9437089","url":null,"abstract":"This paper puts forward a Bi-LSTM attention mechanism model based on voltage phasor for electric power system transient stability assessment. The Bi-LSTM attention mechanism is used to map the relationship between voltage phasor and power system transient stability, and by establishing a sample matrix of transient stability information in the initial stage of the perturbation level, the extracted features are more robust, effectively reducing the false and missing samples, thus improving the generalization ability and evaluation performance of the model. Furthermore, by adjusting the network structure parameters of the best evaluation indicator. The mapping model between input features and transient stability is established to further reduce false positives and sample loss, and to improve the accuracy of network model evaluation. The improved model combines Bi-LSTM feature extraction layer and attention mechanism to form a hybrid model for a transient stability classification model, and the IEEE-39 bus New England test system is used to verify the accuracy of the model, and the wide-area noise is introduced into the generated data to evaluate the robustness of the system. Finally, the method is used to realize the transient stability evaluation of the electric power system based on voltage phasor data, and the validity of the proposed model is authenticated by comparative analysis of the proposed hybrid model with another deep learning models.","PeriodicalId":127882,"journal":{"name":"2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122539692","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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