Pub Date : 2014-07-27DOI: 10.1109/PESGM.2014.6939022
Wei Wu, Keyou Wang, Guojie Li, Y. Hu
There has been continuous development of methods for evaluating transient stability of power system incorporating wind farms. A stochastic model of power systems with wind farms is proposed in this paper. The model takes into account both of the random initial values and stochastic noise of wind speed, with which power system transient stability analysis is modeled as a stochastic initial value problem (SIVP). Monte Carlo trials transform the model into stochastic differential algebraic equations (SDAEs). An implicit numerical method for SDAEs is discussed, which is similar to implicit trapezoidal integration for deterministic differential algebraic equations (DAEs). Case studies illustrating the proposed model are tested on the IEEE 39-bus 10-machine system. The simulation results demonstrate that the proposed model can provide comprehensive description of stochastic excitation of wind farms.
{"title":"A stochastic model for power system transient stability with wind power","authors":"Wei Wu, Keyou Wang, Guojie Li, Y. Hu","doi":"10.1109/PESGM.2014.6939022","DOIUrl":"https://doi.org/10.1109/PESGM.2014.6939022","url":null,"abstract":"There has been continuous development of methods for evaluating transient stability of power system incorporating wind farms. A stochastic model of power systems with wind farms is proposed in this paper. The model takes into account both of the random initial values and stochastic noise of wind speed, with which power system transient stability analysis is modeled as a stochastic initial value problem (SIVP). Monte Carlo trials transform the model into stochastic differential algebraic equations (SDAEs). An implicit numerical method for SDAEs is discussed, which is similar to implicit trapezoidal integration for deterministic differential algebraic equations (DAEs). Case studies illustrating the proposed model are tested on the IEEE 39-bus 10-machine system. The simulation results demonstrate that the proposed model can provide comprehensive description of stochastic excitation of wind farms.","PeriodicalId":149134,"journal":{"name":"2014 IEEE PES General Meeting | Conference & Exposition","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128251279","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 : 2014-07-27DOI: 10.1109/PESGM.2014.6939199
C. Spataru, J. Bialek
Understanding of gas and electricity networks and interconnected systems requires a benchmark system to test different methodologies. A mathematical modeling framework has been formulated for energy networks and solutions for optimal cross-border European trades were derived. The results show the importance of combining gas and electricity networks to assess cross-border trade to minimize risk and ensure security across borders and match supply with demand whilst minimizing cost for transmission, but also to provide a unified European energy market. Comparison of simulation results shows a good agreement when compared with the actual data, with an overall correlation of over 90%. A range of supplies options under different conditions can be explored with the dynamic model to ensure a reliable network configuration over the coming decades. This tool could be used in risk limiting dispatch analysis for decision makers to assess operational uncertainties in generation, demand and future trade.
{"title":"Energy networks: A modelling framework for European optimal cross-border trades","authors":"C. Spataru, J. Bialek","doi":"10.1109/PESGM.2014.6939199","DOIUrl":"https://doi.org/10.1109/PESGM.2014.6939199","url":null,"abstract":"Understanding of gas and electricity networks and interconnected systems requires a benchmark system to test different methodologies. A mathematical modeling framework has been formulated for energy networks and solutions for optimal cross-border European trades were derived. The results show the importance of combining gas and electricity networks to assess cross-border trade to minimize risk and ensure security across borders and match supply with demand whilst minimizing cost for transmission, but also to provide a unified European energy market. Comparison of simulation results shows a good agreement when compared with the actual data, with an overall correlation of over 90%. A range of supplies options under different conditions can be explored with the dynamic model to ensure a reliable network configuration over the coming decades. This tool could be used in risk limiting dispatch analysis for decision makers to assess operational uncertainties in generation, demand and future trade.","PeriodicalId":149134,"journal":{"name":"2014 IEEE PES General Meeting | Conference & Exposition","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128283175","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 : 2014-07-27DOI: 10.1109/PESGM.2014.6939104
Wentao Guo, Feng Liu, S. Mei, J. Si, D. He, R. Harley
Intermittent electricity generation from renewable sources is characterized by a wide range of fluctuations in frequency spectrum. The medium-frequency component of 0.01 Hz-1 Hz cannot be filtered out by system inertia and automatic generation control (AGC) and thus it results in deterioration of frequency quality. In this paper, an approximate dynamic programming (ADP) based supplementary frequency controller for thermal generators is developed to attenuate renewable generation fluctuation in medium-frequency range. A policy iteration based training algorithm is employed for online and model-free learning. Our simulation results demonstrate that the proposed supplementary frequency controller can effectively adapt to changes in the system and provide improved frequency control. Further sensitivity analysis validates that the supplementary frequency controller significantly attenuates the dependence of frequency deviation on the medium-frequency component of renewable generation fluctuation.
{"title":"Approximate dynamic programming based supplementary frequency control of thermal generators in power systems with large-scale renewable generation integration","authors":"Wentao Guo, Feng Liu, S. Mei, J. Si, D. He, R. Harley","doi":"10.1109/PESGM.2014.6939104","DOIUrl":"https://doi.org/10.1109/PESGM.2014.6939104","url":null,"abstract":"Intermittent electricity generation from renewable sources is characterized by a wide range of fluctuations in frequency spectrum. The medium-frequency component of 0.01 Hz-1 Hz cannot be filtered out by system inertia and automatic generation control (AGC) and thus it results in deterioration of frequency quality. In this paper, an approximate dynamic programming (ADP) based supplementary frequency controller for thermal generators is developed to attenuate renewable generation fluctuation in medium-frequency range. A policy iteration based training algorithm is employed for online and model-free learning. Our simulation results demonstrate that the proposed supplementary frequency controller can effectively adapt to changes in the system and provide improved frequency control. Further sensitivity analysis validates that the supplementary frequency controller significantly attenuates the dependence of frequency deviation on the medium-frequency component of renewable generation fluctuation.","PeriodicalId":149134,"journal":{"name":"2014 IEEE PES General Meeting | Conference & Exposition","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128716696","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 : 2014-07-27DOI: 10.1109/PESGM.2014.6939878
S. Janakiraman, W. Shireen
An accurate test bench system is required in the research, design and development of Wind Energy Conversion Systems (WECS). Scaled laboratory prototypes are necessary to replicate the characteristics of a wind turbine for any wind speed in a controlled test environment without depending on natural wind resources and actual wind turbine. Optimal Speed Maximum Power Point (MPP) algorithm is embedded into the test bench system to maximize the efficiency of the overall system. Effects of 3p torque oscillation on the wind turbine are studied. The simulations were carried out in MATLAB/SIMULINK and test bench system is prototyped using a TI DSP F28035.
{"title":"An optimal speed wind turbine test bench system for PMSG machines with MPP control","authors":"S. Janakiraman, W. Shireen","doi":"10.1109/PESGM.2014.6939878","DOIUrl":"https://doi.org/10.1109/PESGM.2014.6939878","url":null,"abstract":"An accurate test bench system is required in the research, design and development of Wind Energy Conversion Systems (WECS). Scaled laboratory prototypes are necessary to replicate the characteristics of a wind turbine for any wind speed in a controlled test environment without depending on natural wind resources and actual wind turbine. Optimal Speed Maximum Power Point (MPP) algorithm is embedded into the test bench system to maximize the efficiency of the overall system. Effects of 3p torque oscillation on the wind turbine are studied. The simulations were carried out in MATLAB/SIMULINK and test bench system is prototyped using a TI DSP F28035.","PeriodicalId":149134,"journal":{"name":"2014 IEEE PES General Meeting | Conference & Exposition","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129044330","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 : 2014-07-27DOI: 10.1109/PESGM.2014.6939807
P. Markham, Yilu Liu
Differences in electromechanical wave propagation speeds have long been observed in different regions of the power grid. Various attempts have been made over the years to develop “speed maps” of the grid, either through analytical means or from measurements. Analytical techniques are computationally difficult and require that an accurate model of the system be known a priori, which is generally impossible for a large system such as the Eastern Interconnection. Most, if not all, of measurement-based techniques introduced to-date assume constant propagation speed between the disturbance source and the sensor, which does not reflect reality. This paper presents a new method for developing speed maps using FNET/GridEye data from confirmed disturbances that seeks to eliminate many of the issues faced by previous attempts.
{"title":"Electromechanical speed map development using FNET/GridEye frequency measurements","authors":"P. Markham, Yilu Liu","doi":"10.1109/PESGM.2014.6939807","DOIUrl":"https://doi.org/10.1109/PESGM.2014.6939807","url":null,"abstract":"Differences in electromechanical wave propagation speeds have long been observed in different regions of the power grid. Various attempts have been made over the years to develop “speed maps” of the grid, either through analytical means or from measurements. Analytical techniques are computationally difficult and require that an accurate model of the system be known a priori, which is generally impossible for a large system such as the Eastern Interconnection. Most, if not all, of measurement-based techniques introduced to-date assume constant propagation speed between the disturbance source and the sensor, which does not reflect reality. This paper presents a new method for developing speed maps using FNET/GridEye data from confirmed disturbances that seeks to eliminate many of the issues faced by previous attempts.","PeriodicalId":149134,"journal":{"name":"2014 IEEE PES General Meeting | Conference & Exposition","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129650558","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 : 2014-07-27DOI: 10.1109/PESGM.2014.6938825
Hanchen Xu, C. Wang, Chao Lu, Zhigang Lu
The random and intermittent nature of wind power (WP) makes the integration of large-scale wind farms into power system problematic. The energy storage system (ESS) is an effective means to smooth the WP. This paper presents a novel Kalman filter (KF) based adaptive wind power smoothing method to determine the power output of an ESS. ESS capacity can be significantly reduced by adjusting the parameters of KF adaptively according to the WP fluctuation. Meanwhile, a fuzzy logic controller is introduced to manage the remained energy level (REL) of the ESS. By considering the current WP fluctuation, the REL and the power output of the ESS together in the controller, the REL can be successfully managed to a reasonable range without deteriorating the WP fluctuation. A test case based on data from an actual wind farm validated the effectiveness of the proposed method.
{"title":"An adaptive wind power smoothing method with energy storage system","authors":"Hanchen Xu, C. Wang, Chao Lu, Zhigang Lu","doi":"10.1109/PESGM.2014.6938825","DOIUrl":"https://doi.org/10.1109/PESGM.2014.6938825","url":null,"abstract":"The random and intermittent nature of wind power (WP) makes the integration of large-scale wind farms into power system problematic. The energy storage system (ESS) is an effective means to smooth the WP. This paper presents a novel Kalman filter (KF) based adaptive wind power smoothing method to determine the power output of an ESS. ESS capacity can be significantly reduced by adjusting the parameters of KF adaptively according to the WP fluctuation. Meanwhile, a fuzzy logic controller is introduced to manage the remained energy level (REL) of the ESS. By considering the current WP fluctuation, the REL and the power output of the ESS together in the controller, the REL can be successfully managed to a reasonable range without deteriorating the WP fluctuation. A test case based on data from an actual wind farm validated the effectiveness of the proposed method.","PeriodicalId":149134,"journal":{"name":"2014 IEEE PES General Meeting | Conference & Exposition","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130393042","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 : 2014-07-27DOI: 10.1109/PESGM.2014.6938988
D. Langner, G. Pilz, M. Gurbiel
The power grid development in recent years shows that the transmission system increases its complexity due to such aspects as increasing contribution of renewable energy sources and the change of top-down energy flow to bidirectional flow. This has an impact on the voltage stability and necessitates system voltage support. Line commutated Static Var Compensators (SVC) as well as self-commutated Static Var Compensators provide means to achieve system voltage control in affected system nodes. The proper selection of the technology applied to accomplish this task depends on the power grid conditions. This paper presents a comparison of self- and line-commutated SVC technologies. The proper selection of the technology based on an exemplary SVC design is also shown.
{"title":"Application benefits of Line- or self-commutated Static Var Compensator","authors":"D. Langner, G. Pilz, M. Gurbiel","doi":"10.1109/PESGM.2014.6938988","DOIUrl":"https://doi.org/10.1109/PESGM.2014.6938988","url":null,"abstract":"The power grid development in recent years shows that the transmission system increases its complexity due to such aspects as increasing contribution of renewable energy sources and the change of top-down energy flow to bidirectional flow. This has an impact on the voltage stability and necessitates system voltage support. Line commutated Static Var Compensators (SVC) as well as self-commutated Static Var Compensators provide means to achieve system voltage control in affected system nodes. The proper selection of the technology applied to accomplish this task depends on the power grid conditions. This paper presents a comparison of self- and line-commutated SVC technologies. The proper selection of the technology based on an exemplary SVC design is also shown.","PeriodicalId":149134,"journal":{"name":"2014 IEEE PES General Meeting | Conference & Exposition","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130531282","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 : 2014-07-27DOI: 10.1109/PESGM.2014.6939832
Tao Qian, A. Chakrabortty, F. Mueller, Yufeng Xin
With the continuing large-scale deployment of Phasor Measurement Units (PMU), the Wide-Area Measurement System (WAMS) technology is envisioned to evolve towards a distributed architecture where multiple sets of distributed Phasor Data Concentrators (PDCs) collectively process PMU data to achieve real-time distributed intelligence. Emerging applications developed under this vision will pose stringent but heterogeneous real-time requirements on throughput, delay, and reliability performance of the underlying communication and computing infrastructure. To address this problem, we present a novel virtual PMU (vPMU) architecture that decomposes phasor samples into multiple resolution layers. For a particular receiver with a certain resolution requirement, a complete set of PMU data can be composed by combining samples from the lower layers, without the need for samples from higher layers. We design and implement a real-time distributed storage system to support the virtual PMU data communication. We extend the Chord algorithm so that the response time of data communication can be bounded by our storage system. In addition, we use queuing theory to analyze the response time of requests with our stochastic model.
{"title":"A real-time distributed storage system for multi-resolution virtual synchrophasor","authors":"Tao Qian, A. Chakrabortty, F. Mueller, Yufeng Xin","doi":"10.1109/PESGM.2014.6939832","DOIUrl":"https://doi.org/10.1109/PESGM.2014.6939832","url":null,"abstract":"With the continuing large-scale deployment of Phasor Measurement Units (PMU), the Wide-Area Measurement System (WAMS) technology is envisioned to evolve towards a distributed architecture where multiple sets of distributed Phasor Data Concentrators (PDCs) collectively process PMU data to achieve real-time distributed intelligence. Emerging applications developed under this vision will pose stringent but heterogeneous real-time requirements on throughput, delay, and reliability performance of the underlying communication and computing infrastructure. To address this problem, we present a novel virtual PMU (vPMU) architecture that decomposes phasor samples into multiple resolution layers. For a particular receiver with a certain resolution requirement, a complete set of PMU data can be composed by combining samples from the lower layers, without the need for samples from higher layers. We design and implement a real-time distributed storage system to support the virtual PMU data communication. We extend the Chord algorithm so that the response time of data communication can be bounded by our storage system. In addition, we use queuing theory to analyze the response time of requests with our stochastic model.","PeriodicalId":149134,"journal":{"name":"2014 IEEE PES General Meeting | Conference & Exposition","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126897009","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 : 2014-07-27DOI: 10.1109/PESGM.2014.6938903
Y. C. Zhang, Wenxuan Yao, Jerel Culliss, Guorui Zhang, Zhaosheng Teng, Yilu Liu
In conventional power grid phasor measurements, the transformers must be physically connected to lines or buses being measured for acquiring the input voltage signal. This paper presents an innovative contactless phasor measurement device, the wireless frequency disturbance recorder (wireless FDR), to realize contactless power grid phasor measurements based on the electrical field generated by high-voltage power transmission lines. The wireless FDR has the merit of portability and flexibility, making it possible to obtain the phasor parameters at any point under the transmission line. Both the laboratory and field test results show that the wireless FDR satisfies the requirements for power system phasor analysis.
{"title":"Electrical field based wireless devices for contactless power gird phasor measurement","authors":"Y. C. Zhang, Wenxuan Yao, Jerel Culliss, Guorui Zhang, Zhaosheng Teng, Yilu Liu","doi":"10.1109/PESGM.2014.6938903","DOIUrl":"https://doi.org/10.1109/PESGM.2014.6938903","url":null,"abstract":"In conventional power grid phasor measurements, the transformers must be physically connected to lines or buses being measured for acquiring the input voltage signal. This paper presents an innovative contactless phasor measurement device, the wireless frequency disturbance recorder (wireless FDR), to realize contactless power grid phasor measurements based on the electrical field generated by high-voltage power transmission lines. The wireless FDR has the merit of portability and flexibility, making it possible to obtain the phasor parameters at any point under the transmission line. Both the laboratory and field test results show that the wireless FDR satisfies the requirements for power system phasor analysis.","PeriodicalId":149134,"journal":{"name":"2014 IEEE PES General Meeting | Conference & Exposition","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123976662","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 : 2014-07-27DOI: 10.1109/PESGM.2014.6938792
C. Fuerte-Esquivel, A. Martínez-Mares
Summary form only given. As power generation plants which use wind energy are increasingly integrated into existing electric power systems, it becomes important to evaluate how the wind power uncertainties affect the power system's operation as well as its interdependency with those infrastructures utilized to transport the various forms of primary energy that is converted into electric energy. This paper proposes a robust optimization model for analyzing the interdependency between natural gas, coal and electricity infrastructures considering their operation constraints and wind power uncertainties. The optimization model obtains an uncertainty immunized solution in a unified framework based on the balance of nodal energy flows, which remains feasible and nearly optimal for all values of uncertain data. Case studies are presented to verify the effectiveness of the proposed solution for a multi-energy system composed by the IEEE-118 test system coupled to a 15-nodes natural gas network and a 4-nodes coal distribution system as well as for the real life Belgian natural gas and electricity infrastructures.
{"title":"A robust optimization approach for the interdependency analysis of integrated energy systems considering wind power uncertainty","authors":"C. Fuerte-Esquivel, A. Martínez-Mares","doi":"10.1109/PESGM.2014.6938792","DOIUrl":"https://doi.org/10.1109/PESGM.2014.6938792","url":null,"abstract":"Summary form only given. As power generation plants which use wind energy are increasingly integrated into existing electric power systems, it becomes important to evaluate how the wind power uncertainties affect the power system's operation as well as its interdependency with those infrastructures utilized to transport the various forms of primary energy that is converted into electric energy. This paper proposes a robust optimization model for analyzing the interdependency between natural gas, coal and electricity infrastructures considering their operation constraints and wind power uncertainties. The optimization model obtains an uncertainty immunized solution in a unified framework based on the balance of nodal energy flows, which remains feasible and nearly optimal for all values of uncertain data. Case studies are presented to verify the effectiveness of the proposed solution for a multi-energy system composed by the IEEE-118 test system coupled to a 15-nodes natural gas network and a 4-nodes coal distribution system as well as for the real life Belgian natural gas and electricity infrastructures.","PeriodicalId":149134,"journal":{"name":"2014 IEEE PES General Meeting | Conference & Exposition","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123383374","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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