Pub Date : 2014-10-01DOI: 10.1109/ISGTEUROPE.2014.7028906
N. Neyestani, M. Yazdani Damavandi, M. Shafie‐khah, J. Catalão, J. Contreras
New technologies such as Plug-in Electric Vehicles or PEVs bring new trends in areas where multi entities interact. One of these areas is the facilities in cities for better manipulation of technologies. Encouraging the utilization of PEVs necessitates the provision of charging stations. In this regard, PEV Parking Lots (PLs) can be a great help as they can solve both urban and electrical problem of PEVs. On the other hand, gathering numerous PEVs in one point like PLs provides the system operator with the opportunity of PEVs batteries that can be used as potential storages. Therefore, in this paper, the optimum behavior of PEV PLs is modeled while they contribute their batteries' capacity in both energy and reserve market. The charging schedule of PLs with various numbers of stations has been reported as well as their share in the market as an energy source during peak hours.
{"title":"Modeling the optimal behavior of PEV parking lots in energy and reserve market","authors":"N. Neyestani, M. Yazdani Damavandi, M. Shafie‐khah, J. Catalão, J. Contreras","doi":"10.1109/ISGTEUROPE.2014.7028906","DOIUrl":"https://doi.org/10.1109/ISGTEUROPE.2014.7028906","url":null,"abstract":"New technologies such as Plug-in Electric Vehicles or PEVs bring new trends in areas where multi entities interact. One of these areas is the facilities in cities for better manipulation of technologies. Encouraging the utilization of PEVs necessitates the provision of charging stations. In this regard, PEV Parking Lots (PLs) can be a great help as they can solve both urban and electrical problem of PEVs. On the other hand, gathering numerous PEVs in one point like PLs provides the system operator with the opportunity of PEVs batteries that can be used as potential storages. Therefore, in this paper, the optimum behavior of PEV PLs is modeled while they contribute their batteries' capacity in both energy and reserve market. The charging schedule of PLs with various numbers of stations has been reported as well as their share in the market as an energy source during peak hours.","PeriodicalId":299515,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies, Europe","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124948139","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 : 2014-10-01DOI: 10.1109/ISGTEUROPE.2014.7028961
M. Ndreko, M. Popov, J. Boemer, M. V. D. van der Meijden
This paper discusses grid code compliance for point-to-point VSC-HVDC systems used for the grid connection of far and large offshore wind power plants. The study focus on the short circuit current contribution provided by VSC-HVDC system delivery. Sensitivities such as the reactive current boosting gain of the AC voltage controller, the choice of dead-band and the method prioritising active versus reactive current during faulted conditions are discussed with focus on power system voltage and rotor angle stability of a multi-machine power system. The paper shows that prioritising the reactive short circuit current versus active current leads to improvement in both voltage response and transient stability of the AC power system. In addition, the removal of the dead-band while increasing the proportional gain of the AC voltage controller is proved to be beneficial for the power system stability. The analysis is based on time domain simulations using the IEEE 39-bus test system and user-developed models of VSC-HVDC systems in PSS®E.
{"title":"Sensitivity analysis on short-circuit current contribution from VSC-HVDC systems connecting far and large offshore wind power plants","authors":"M. Ndreko, M. Popov, J. Boemer, M. V. D. van der Meijden","doi":"10.1109/ISGTEUROPE.2014.7028961","DOIUrl":"https://doi.org/10.1109/ISGTEUROPE.2014.7028961","url":null,"abstract":"This paper discusses grid code compliance for point-to-point VSC-HVDC systems used for the grid connection of far and large offshore wind power plants. The study focus on the short circuit current contribution provided by VSC-HVDC system delivery. Sensitivities such as the reactive current boosting gain of the AC voltage controller, the choice of dead-band and the method prioritising active versus reactive current during faulted conditions are discussed with focus on power system voltage and rotor angle stability of a multi-machine power system. The paper shows that prioritising the reactive short circuit current versus active current leads to improvement in both voltage response and transient stability of the AC power system. In addition, the removal of the dead-band while increasing the proportional gain of the AC voltage controller is proved to be beneficial for the power system stability. The analysis is based on time domain simulations using the IEEE 39-bus test system and user-developed models of VSC-HVDC systems in PSS®E.","PeriodicalId":299515,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies, Europe","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116551498","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 : 2014-10-01DOI: 10.1109/ISGTEUROPE.2014.7028733
R. Cabadag, U. Schmidt, P. Schegner
Wind energy is one of the most competitive and efficient energy sources and, as a result, usage of it is continuously increasing worldwide. Although wind energy is relatively cheaper among the other renewables, it is also variable and uncertain. Therefore, the high penetration of wind energy causes several technical problems related to security, stability, power quality and operation of power systems. Transmission and Distribution System Operators (TSOs and DSOs) are issued to develop required grid codes for wind farms (WFs) considering a number of parameters to overcome those difficulties. This paper represents a Real-Time Embedded Particle Swarm Optimization (RTEPSO) to define optimal settings of WFs to meet reactive power requirements of a typical German 110 kV-sub-transmission grid at any time. In other words, the proposed approach searches the exact operation points of WFs to calculate required amount of absorbed/generated reactive power at Connection Point (CP) under consideration of Consumer Counting Arrow System.
{"title":"Reactive power capability of a sub-transmission grid using real-time embedded particle swarm optimization","authors":"R. Cabadag, U. Schmidt, P. Schegner","doi":"10.1109/ISGTEUROPE.2014.7028733","DOIUrl":"https://doi.org/10.1109/ISGTEUROPE.2014.7028733","url":null,"abstract":"Wind energy is one of the most competitive and efficient energy sources and, as a result, usage of it is continuously increasing worldwide. Although wind energy is relatively cheaper among the other renewables, it is also variable and uncertain. Therefore, the high penetration of wind energy causes several technical problems related to security, stability, power quality and operation of power systems. Transmission and Distribution System Operators (TSOs and DSOs) are issued to develop required grid codes for wind farms (WFs) considering a number of parameters to overcome those difficulties. This paper represents a Real-Time Embedded Particle Swarm Optimization (RTEPSO) to define optimal settings of WFs to meet reactive power requirements of a typical German 110 kV-sub-transmission grid at any time. In other words, the proposed approach searches the exact operation points of WFs to calculate required amount of absorbed/generated reactive power at Connection Point (CP) under consideration of Consumer Counting Arrow System.","PeriodicalId":299515,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies, Europe","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125614461","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 : 2014-10-01DOI: 10.1109/ISGTEUROPE.2014.7028753
G. Igarashi, J. C. Santos
Our aim is to show the results from a mathematical simulation of the behavior of a differential protection algorithm for power transformers compared with the loss of the time synchronization signal in the process bus according to IEC 61850-9-2. Described herein are an original model for simulating the samples in the process bus, a proposed algorithm for differential protection of power transformers adapted for protective relays operating with process bus according to standard and response analysis of the protection algorithm from this loss of sync.
{"title":"Effects of loss of time synchronization in differential protection of transformers using process bus according to IEC 61850-9-2","authors":"G. Igarashi, J. C. Santos","doi":"10.1109/ISGTEUROPE.2014.7028753","DOIUrl":"https://doi.org/10.1109/ISGTEUROPE.2014.7028753","url":null,"abstract":"Our aim is to show the results from a mathematical simulation of the behavior of a differential protection algorithm for power transformers compared with the loss of the time synchronization signal in the process bus according to IEC 61850-9-2. Described herein are an original model for simulating the samples in the process bus, a proposed algorithm for differential protection of power transformers adapted for protective relays operating with process bus according to standard and response analysis of the protection algorithm from this loss of sync.","PeriodicalId":299515,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies, Europe","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131144402","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 : 2014-10-01DOI: 10.1109/ISGTEUROPE.2014.7028849
O. Raipala, A. Makinen, S. Repo, P. Jarventausta
All distributed generating units need to be equipped with an anti-islanding (AI) protection scheme in order to avoid unintentional islanding. Unfortunately most AI methods fail to detect islanding when the islanded load matches with the production in the island. Another concerning issue is that certain active AI protection schemes may cause power quality problems. This paper proposes an AI protection method which is based on the combination of a specially designed reactive power versus frequency (Q-f) droop, and a constantly injected reactive power variation (RPV) pulse. The method is designed so that the injection of reactive power is of minor scale during normal operating conditions. Yet, the method shows high performance during islanding. Simulations were performed with the help of PSCAD/EMTDC in order to analyze the performance of the method. The results indicate that the method is able to detect islanding within 2 seconds even in a perfectly balanced island.
{"title":"A novel anti-islanding protection method based on the combination of a Q-f droop and RPV","authors":"O. Raipala, A. Makinen, S. Repo, P. Jarventausta","doi":"10.1109/ISGTEUROPE.2014.7028849","DOIUrl":"https://doi.org/10.1109/ISGTEUROPE.2014.7028849","url":null,"abstract":"All distributed generating units need to be equipped with an anti-islanding (AI) protection scheme in order to avoid unintentional islanding. Unfortunately most AI methods fail to detect islanding when the islanded load matches with the production in the island. Another concerning issue is that certain active AI protection schemes may cause power quality problems. This paper proposes an AI protection method which is based on the combination of a specially designed reactive power versus frequency (Q-f) droop, and a constantly injected reactive power variation (RPV) pulse. The method is designed so that the injection of reactive power is of minor scale during normal operating conditions. Yet, the method shows high performance during islanding. Simulations were performed with the help of PSCAD/EMTDC in order to analyze the performance of the method. The results indicate that the method is able to detect islanding within 2 seconds even in a perfectly balanced island.","PeriodicalId":299515,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies, Europe","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127016292","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 : 2014-10-01DOI: 10.1109/ISGTEUROPE.2014.7028919
Luca Semeraro, E. Crisostomi, A. Franco, A. Landi, Marco Raugi, M. Tucci, G. Giunta
In this paper we use clustering algorithms to compute the typical Italian load profile in different days of the week in different seasons. This result can be exploited by energy providers to tailor more attractive time-varying tariffs for their customers. We find out that better results are obtained if the clustering is not performed directly on the data, but on some features extracted from the data. Thus, we compare some conventional features to identify the most informative ones in the Italian case.
{"title":"Electrical load clustering: The Italian case","authors":"Luca Semeraro, E. Crisostomi, A. Franco, A. Landi, Marco Raugi, M. Tucci, G. Giunta","doi":"10.1109/ISGTEUROPE.2014.7028919","DOIUrl":"https://doi.org/10.1109/ISGTEUROPE.2014.7028919","url":null,"abstract":"In this paper we use clustering algorithms to compute the typical Italian load profile in different days of the week in different seasons. This result can be exploited by energy providers to tailor more attractive time-varying tariffs for their customers. We find out that better results are obtained if the clustering is not performed directly on the data, but on some features extracted from the data. Thus, we compare some conventional features to identify the most informative ones in the Italian case.","PeriodicalId":299515,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies, Europe","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121268392","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 : 2014-10-01DOI: 10.1109/ISGTEUROPE.2014.7028981
Y. Niu, Xiaoming Li, Zhongwei Lin, Mingyang Li
Hybrid wind-thermal power systems (HWTP) are widely used, and the scales of wind energy in such systems are growing rapidly. Classical decentralized coordinated controls of power systems are all based on synchronous generator (SG), which ignore wind farms. It is unsuitable that applying SG based decentralized coordinated control on a renewable power system. This paper presents an adaptive decentralized-coordinated neural control (ADNC) of hybrid wind-thermal power systems. Our method makes use of the interaction measurement modeling, multiple model linear optimal theory and artificial neural network (ANN) techniques. An ANN based dynamic weighting calculation is proposed to cope with the nonlinearity and continuous variations of the system operating points. Simulation results for an illustrative system are presented. The results show that the proposed method not only has an accurate tracking performance, but also enhances the transient stability of the system.
{"title":"Adaptive decentralized-coordinated neural control of hybrid wind-thermal power system","authors":"Y. Niu, Xiaoming Li, Zhongwei Lin, Mingyang Li","doi":"10.1109/ISGTEUROPE.2014.7028981","DOIUrl":"https://doi.org/10.1109/ISGTEUROPE.2014.7028981","url":null,"abstract":"Hybrid wind-thermal power systems (HWTP) are widely used, and the scales of wind energy in such systems are growing rapidly. Classical decentralized coordinated controls of power systems are all based on synchronous generator (SG), which ignore wind farms. It is unsuitable that applying SG based decentralized coordinated control on a renewable power system. This paper presents an adaptive decentralized-coordinated neural control (ADNC) of hybrid wind-thermal power systems. Our method makes use of the interaction measurement modeling, multiple model linear optimal theory and artificial neural network (ANN) techniques. An ANN based dynamic weighting calculation is proposed to cope with the nonlinearity and continuous variations of the system operating points. Simulation results for an illustrative system are presented. The results show that the proposed method not only has an accurate tracking performance, but also enhances the transient stability of the system.","PeriodicalId":299515,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies, Europe","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127680084","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 : 2014-10-01DOI: 10.1109/ISGTEUROPE.2014.7028925
Haoran Zhao, Qiuwei Wu, C. Rasmussen, Qinglai Guo, Hongbin Sun
This paper presents the active power control of a wind farm using the Distributed Model Predictive Controller (D-MPC) via dual decomposition. Different from the conventional centralized wind farm control, multiple objectives such as power reference tracking performance and wind turbine load can be considered to achieve a trade-off between them. Additionally, D-MPC is based on communication among the subsystems. Through the interaction among the neighboring subsystems, the global optimization could be achieved, which significantly reduces the computation burden. It is suitable for the modern large-scale wind farm control.
{"title":"Distributed model predictive control for active power control of wind farm","authors":"Haoran Zhao, Qiuwei Wu, C. Rasmussen, Qinglai Guo, Hongbin Sun","doi":"10.1109/ISGTEUROPE.2014.7028925","DOIUrl":"https://doi.org/10.1109/ISGTEUROPE.2014.7028925","url":null,"abstract":"This paper presents the active power control of a wind farm using the Distributed Model Predictive Controller (D-MPC) via dual decomposition. Different from the conventional centralized wind farm control, multiple objectives such as power reference tracking performance and wind turbine load can be considered to achieve a trade-off between them. Additionally, D-MPC is based on communication among the subsystems. Through the interaction among the neighboring subsystems, the global optimization could be achieved, which significantly reduces the computation burden. It is suitable for the modern large-scale wind farm control.","PeriodicalId":299515,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies, Europe","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127682969","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 : 2014-10-01DOI: 10.1109/ISGTEUROPE.2014.7028760
M. Strobbe, K. Vanthournout, Tom Verschueren, Wim Cardinaels, Chris Develder
The Flemish project Linear is an example of an ongoing large scale residential demand response pilot that aims to validate innovative smart grid applications that exploit the rollout of information and communication technologies (ICT) in the power grid. In this paper, we discuss the design of such a scalable, reliable and interoperable ICT infrastructure that interconnects 245 residential power grid customers with the backend systems of various actors: e.g., energy service providers (ESPs), flexibility aggregators, distribution system operators (DSOs), balancing responsible parties (BRPs). The use cases rolled out in Linear, built on top of our proposed ICT architecture, involve sharing both metering data and flexibility information (esp. for time shifting) of the households, and demand response (DR) algorithms for the balancing of renewable energy and the mitigation of voltage and power issues in distribution grids.
{"title":"Large-scale residential demand response ICT architecture","authors":"M. Strobbe, K. Vanthournout, Tom Verschueren, Wim Cardinaels, Chris Develder","doi":"10.1109/ISGTEUROPE.2014.7028760","DOIUrl":"https://doi.org/10.1109/ISGTEUROPE.2014.7028760","url":null,"abstract":"The Flemish project Linear is an example of an ongoing large scale residential demand response pilot that aims to validate innovative smart grid applications that exploit the rollout of information and communication technologies (ICT) in the power grid. In this paper, we discuss the design of such a scalable, reliable and interoperable ICT infrastructure that interconnects 245 residential power grid customers with the backend systems of various actors: e.g., energy service providers (ESPs), flexibility aggregators, distribution system operators (DSOs), balancing responsible parties (BRPs). The use cases rolled out in Linear, built on top of our proposed ICT architecture, involve sharing both metering data and flexibility information (esp. for time shifting) of the households, and demand response (DR) algorithms for the balancing of renewable energy and the mitigation of voltage and power issues in distribution grids.","PeriodicalId":299515,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies, Europe","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127825361","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 : 2014-10-01DOI: 10.1109/ISGTEUROPE.2014.7028839
H. Maleki, M. Khederzadeh, V. Asgharian
The importance of renewable energy resources (RES) due to low emission level of greenhouse gases besides the increasing rate of fossil fuels costs on the one hand is growing every day. On the other hand, the application extension of these resources in costumer side introduces a new concept called Micro Grid having the capability of grid connected as well as islanded operations. In this paper, the local control of micro grid with renewable resources as well as controllable resources and storage is developed in islanding operation mode using control scheme of inverter mediation of storage which effectively controls the micro grid locally by contribution of controllable resources. Then, the behavior of storage and controllable resources are investigated considering the generation disturbances of renewable resources. The micro grid parts are simulated in MATLAB/ Simulink environment.
{"title":"Local control of fully inverter based micro grids in islanding operation mode considering generation disturbances in RES","authors":"H. Maleki, M. Khederzadeh, V. Asgharian","doi":"10.1109/ISGTEUROPE.2014.7028839","DOIUrl":"https://doi.org/10.1109/ISGTEUROPE.2014.7028839","url":null,"abstract":"The importance of renewable energy resources (RES) due to low emission level of greenhouse gases besides the increasing rate of fossil fuels costs on the one hand is growing every day. On the other hand, the application extension of these resources in costumer side introduces a new concept called Micro Grid having the capability of grid connected as well as islanded operations. In this paper, the local control of micro grid with renewable resources as well as controllable resources and storage is developed in islanding operation mode using control scheme of inverter mediation of storage which effectively controls the micro grid locally by contribution of controllable resources. Then, the behavior of storage and controllable resources are investigated considering the generation disturbances of renewable resources. The micro grid parts are simulated in MATLAB/ Simulink environment.","PeriodicalId":299515,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies, Europe","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134211309","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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