Pub Date : 2017-04-01DOI: 10.1109/ISGT.2017.8086067
Hamidreza Sadeghian, Mir Hadi Athari, Zhifang Wang
Remarkable penetration of renewable energy in electric networks, despite its valuable opportunities, such as power loss reduction and loadability improvements, has raised concerns for system operators. Such huge penetration can lead to a violation of the grid requirements, such as voltage and current limits and reverse power flow. Optimal placement and sizing of Distributed Generation (DG) are one of the best ways to strengthen the efficiency of the power systems. This paper builds a simulation model for the local distribution network based on obtained load profiles, GIS information, solar insolation, feeder and voltage settings, and define the optimization problem of solar PVDG installation to determine the optimal siting and sizing for different penetration levels with different objective functions. The objective functions include voltage profile improvement and energy loss minimization and the considered constraints include the physical distribution network constraints (AC power flow), the PV capacity constraint, and the voltage and reverse power flow constraints.
{"title":"Optimized solar photovoltaic generation in a real local distribution network","authors":"Hamidreza Sadeghian, Mir Hadi Athari, Zhifang Wang","doi":"10.1109/ISGT.2017.8086067","DOIUrl":"https://doi.org/10.1109/ISGT.2017.8086067","url":null,"abstract":"Remarkable penetration of renewable energy in electric networks, despite its valuable opportunities, such as power loss reduction and loadability improvements, has raised concerns for system operators. Such huge penetration can lead to a violation of the grid requirements, such as voltage and current limits and reverse power flow. Optimal placement and sizing of Distributed Generation (DG) are one of the best ways to strengthen the efficiency of the power systems. This paper builds a simulation model for the local distribution network based on obtained load profiles, GIS information, solar insolation, feeder and voltage settings, and define the optimization problem of solar PVDG installation to determine the optimal siting and sizing for different penetration levels with different objective functions. The objective functions include voltage profile improvement and energy loss minimization and the considered constraints include the physical distribution network constraints (AC power flow), the PV capacity constraint, and the voltage and reverse power flow constraints.","PeriodicalId":296398,"journal":{"name":"2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133028739","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 : 2017-04-01DOI: 10.1109/ISGT.2017.8085982
A. Nelson, K. Prabakar, A. Nagarajan, Shaili Nepal, A. Hoke, Marc Asano, R. Ueda, Earle Ifuku
As more grid-connected photovoltaic (PV) inverters become compliant with evolving interconnections requirements, there is increased interest from utilities in understanding how to best deploy advanced grid-support functions (GSF) in the field. One efficient and cost-effective method to examine such deployment options is to leverage power hardware-in-the-loop (PHIL) testing methods, which combine the fidelity of hardware tests with the flexibility of computer simulation. This paper summarizes a study wherein two Hawaiian Electric feeder models were converted to real-time models using an OPAL-RT real-time digital testing platform, and integrated with models of GSF capable PV inverters based on characterization test data. The integrated model was subsequently used in PHIL testing to evaluate the effects of different fixed power factor and volt-watt control settings on voltage regulation of the selected feeders using physical inverters. Selected results are presented in this paper, and complete results of this study were provided as inputs for field deployment and technical interconnection requirements for grid-connected PV inverters on the Hawaiian Islands.
{"title":"Power hardware-in-the-loop evaluation of PV inverter grid support on Hawaiian electric feeders","authors":"A. Nelson, K. Prabakar, A. Nagarajan, Shaili Nepal, A. Hoke, Marc Asano, R. Ueda, Earle Ifuku","doi":"10.1109/ISGT.2017.8085982","DOIUrl":"https://doi.org/10.1109/ISGT.2017.8085982","url":null,"abstract":"As more grid-connected photovoltaic (PV) inverters become compliant with evolving interconnections requirements, there is increased interest from utilities in understanding how to best deploy advanced grid-support functions (GSF) in the field. One efficient and cost-effective method to examine such deployment options is to leverage power hardware-in-the-loop (PHIL) testing methods, which combine the fidelity of hardware tests with the flexibility of computer simulation. This paper summarizes a study wherein two Hawaiian Electric feeder models were converted to real-time models using an OPAL-RT real-time digital testing platform, and integrated with models of GSF capable PV inverters based on characterization test data. The integrated model was subsequently used in PHIL testing to evaluate the effects of different fixed power factor and volt-watt control settings on voltage regulation of the selected feeders using physical inverters. Selected results are presented in this paper, and complete results of this study were provided as inputs for field deployment and technical interconnection requirements for grid-connected PV inverters on the Hawaiian Islands.","PeriodicalId":296398,"journal":{"name":"2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123925336","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 : 2017-04-01DOI: 10.1109/ISGT.2017.8085999
Yuanqi Gao, N. Yu
The distribution system state estimation (DSSE) problem is very challenging due to complexities at the distribution network structure level and sensor level. This paper first develops a DSSE formulation similar to the real world settings. In particular, unbalanced single-phase and two-phase measurements are considered. In addition, constraints associated with zero injections and center tapped transformers are carefully modeled. An orthogonal elimination based DSSE algorithm is developed to solve the nonlinear optimization problem with equality constraints. The proposed algorithm has better numerical properties than the existing methods and does not require tunable parameters. The simulation results from modified IEEE 13-bus test feeder show that the proposed DSSE formulation and algorithm yield accurate state estimation results.
{"title":"State estimation for unbalanced electric power distribution systems using AMI data","authors":"Yuanqi Gao, N. Yu","doi":"10.1109/ISGT.2017.8085999","DOIUrl":"https://doi.org/10.1109/ISGT.2017.8085999","url":null,"abstract":"The distribution system state estimation (DSSE) problem is very challenging due to complexities at the distribution network structure level and sensor level. This paper first develops a DSSE formulation similar to the real world settings. In particular, unbalanced single-phase and two-phase measurements are considered. In addition, constraints associated with zero injections and center tapped transformers are carefully modeled. An orthogonal elimination based DSSE algorithm is developed to solve the nonlinear optimization problem with equality constraints. The proposed algorithm has better numerical properties than the existing methods and does not require tunable parameters. The simulation results from modified IEEE 13-bus test feeder show that the proposed DSSE formulation and algorithm yield accurate state estimation results.","PeriodicalId":296398,"journal":{"name":"2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128950580","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 : 2017-04-01DOI: 10.1109/ISGT.2017.8086082
B. Falahati, Amin Kargarian Marvasti, S. Mehraeen, Yong Fu
This paper proposes a reliability model to convert a microgrid with several renewable energy sources (RESs) to a single source with an overall capacity factor. The proposed model takes into account the probabilistic behavior of solar and wind power generations. The model utilized the most recent RES capacity factor data available over the course of the study period. The timeframe capacity factor (TFCF) is considered for each renewable energy resource, over a considered timeframe (TF). The proposed method significantly reduces the prerequisite data and running time for reliability assessment compared to the existing probabilistic models.
{"title":"Modeling a microgrid as a single source using the timeframe capacity factor reliability model","authors":"B. Falahati, Amin Kargarian Marvasti, S. Mehraeen, Yong Fu","doi":"10.1109/ISGT.2017.8086082","DOIUrl":"https://doi.org/10.1109/ISGT.2017.8086082","url":null,"abstract":"This paper proposes a reliability model to convert a microgrid with several renewable energy sources (RESs) to a single source with an overall capacity factor. The proposed model takes into account the probabilistic behavior of solar and wind power generations. The model utilized the most recent RES capacity factor data available over the course of the study period. The timeframe capacity factor (TFCF) is considered for each renewable energy resource, over a considered timeframe (TF). The proposed method significantly reduces the prerequisite data and running time for reliability assessment compared to the existing probabilistic models.","PeriodicalId":296398,"journal":{"name":"2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)","volume":"308 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115861887","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 : 2017-04-01DOI: 10.1109/ISGT.2017.8086029
P. Zadehkhost, F. Howell, Xi Lin, Lei Wang
This paper presents a generic technique for analyzing subsynchronous torsional interaction (SSTI) between series capacitors and multi-mass shaft system in steam turbinegenerators. The proposed method focuses on application of the method in large-scale power systems where the SSTI study is to be carried out for large number of generators, different compensation levels, and various contingencies. The proposed methodology encompasses three steps: 1) Performing a network frequency scan to identify generators that are likely to show SSTI, also called critical generators; 2) Finding local mode of critical generators to identify critical torsional modes that are likely to interact with series capacitors; 3) Using frequency of critical modes as initial guess to trace them in the full system and find associated damping. This three-step procedure reduces computational cost while minimizing possibility of missing any torsional interaction in the system. Moreover, the developed procedure highly automates the process of finding subsynchronous modes and minimizes user interaction.
{"title":"Analyzing subsynchronous torsional interactions in large-scale power systems in frequency domain","authors":"P. Zadehkhost, F. Howell, Xi Lin, Lei Wang","doi":"10.1109/ISGT.2017.8086029","DOIUrl":"https://doi.org/10.1109/ISGT.2017.8086029","url":null,"abstract":"This paper presents a generic technique for analyzing subsynchronous torsional interaction (SSTI) between series capacitors and multi-mass shaft system in steam turbinegenerators. The proposed method focuses on application of the method in large-scale power systems where the SSTI study is to be carried out for large number of generators, different compensation levels, and various contingencies. The proposed methodology encompasses three steps: 1) Performing a network frequency scan to identify generators that are likely to show SSTI, also called critical generators; 2) Finding local mode of critical generators to identify critical torsional modes that are likely to interact with series capacitors; 3) Using frequency of critical modes as initial guess to trace them in the full system and find associated damping. This three-step procedure reduces computational cost while minimizing possibility of missing any torsional interaction in the system. Moreover, the developed procedure highly automates the process of finding subsynchronous modes and minimizes user interaction.","PeriodicalId":296398,"journal":{"name":"2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114211761","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 : 2017-04-01DOI: 10.1109/ISGT.2017.8086024
Yonghong Kuang, Canbing Li, Guobin Li
Demand response is an effective measure to balance the load and generation. In this paper, time elasticity of load is proposed to evaluate the time selection of power consumption. It is obtained according to similarity between sampling load curve and typical load curve, smoothness of load curve, loss cost of load shift and proportion of load shift. Quantitative analysis of time elasticity of load is developed based on analytic hierarchy process (AHP). Case study demonstrates the effectiveness of the identification method.
{"title":"Identification of time elasticity of load based on analytic hierarchy process","authors":"Yonghong Kuang, Canbing Li, Guobin Li","doi":"10.1109/ISGT.2017.8086024","DOIUrl":"https://doi.org/10.1109/ISGT.2017.8086024","url":null,"abstract":"Demand response is an effective measure to balance the load and generation. In this paper, time elasticity of load is proposed to evaluate the time selection of power consumption. It is obtained according to similarity between sampling load curve and typical load curve, smoothness of load curve, loss cost of load shift and proportion of load shift. Quantitative analysis of time elasticity of load is developed based on analytic hierarchy process (AHP). Case study demonstrates the effectiveness of the identification method.","PeriodicalId":296398,"journal":{"name":"2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125381138","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 : 2017-04-01DOI: 10.1109/ISGT.2017.8085981
S. Refaat, H. Abu-Rub, Amira Mohamed
Transient stability studies are the key for providing secured operating configurations in power-grid networks. Penetration of a large-scale photovoltaic energy into an existing power grid is expected to highly increase, which will affect operational characteristics. This paper investigates transient stability analysis and the impact of large scale grid-connected photovoltaic (PV) system on electric power-grid networks. Three different scenarios, with their relevant dynamic models with centralized PV farm, are considered at medium voltage level without voltage regulation capabilities. Conducted simulation results show the impact of increased PV penetration on both steady state and transient stability performance. Results in this paper are conducted using a power system software for the design, simulation, operation, and automation of power network and large scale photovoltaic system.
{"title":"Transient stability impact of large-scale photovoltaic system on electric power grids","authors":"S. Refaat, H. Abu-Rub, Amira Mohamed","doi":"10.1109/ISGT.2017.8085981","DOIUrl":"https://doi.org/10.1109/ISGT.2017.8085981","url":null,"abstract":"Transient stability studies are the key for providing secured operating configurations in power-grid networks. Penetration of a large-scale photovoltaic energy into an existing power grid is expected to highly increase, which will affect operational characteristics. This paper investigates transient stability analysis and the impact of large scale grid-connected photovoltaic (PV) system on electric power-grid networks. Three different scenarios, with their relevant dynamic models with centralized PV farm, are considered at medium voltage level without voltage regulation capabilities. Conducted simulation results show the impact of increased PV penetration on both steady state and transient stability performance. Results in this paper are conducted using a power system software for the design, simulation, operation, and automation of power network and large scale photovoltaic system.","PeriodicalId":296398,"journal":{"name":"2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126024934","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 : 2017-04-01DOI: 10.1109/ISGT.2017.8086091
Yuan Zeng, Waiying Guo, Xiaojun Li, Chao Qin, Bo He, Wentao Sun
This paper puts forwards a series of indexes to represent utilization rate and risk level of power system as well as to discuss their interrelationship. In particular, probabilistic risk assessment method is adopted in this paper to calculate security coefficient of over-limit voltage. Data envelopment analysis (DEA) is used innovatively to probe into the best balance point of system. By respectively studying the use efficiency of power equipment with and without consideration of operational risks, how risk factors influence utilization rate is revealed and these load levels corresponding to relatively lower efficiency and to what extent their efficiencies can get improved are also pointed out. In the end, a real case study of utilization rate of power equipment and system operational risk in the condition of actual load changes is given to verify the effectiveness and validity of the method mentioned in this paper.
{"title":"Research on risk and utilization rate of power equipment based on data envelopment analysis","authors":"Yuan Zeng, Waiying Guo, Xiaojun Li, Chao Qin, Bo He, Wentao Sun","doi":"10.1109/ISGT.2017.8086091","DOIUrl":"https://doi.org/10.1109/ISGT.2017.8086091","url":null,"abstract":"This paper puts forwards a series of indexes to represent utilization rate and risk level of power system as well as to discuss their interrelationship. In particular, probabilistic risk assessment method is adopted in this paper to calculate security coefficient of over-limit voltage. Data envelopment analysis (DEA) is used innovatively to probe into the best balance point of system. By respectively studying the use efficiency of power equipment with and without consideration of operational risks, how risk factors influence utilization rate is revealed and these load levels corresponding to relatively lower efficiency and to what extent their efficiencies can get improved are also pointed out. In the end, a real case study of utilization rate of power equipment and system operational risk in the condition of actual load changes is given to verify the effectiveness and validity of the method mentioned in this paper.","PeriodicalId":296398,"journal":{"name":"2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124954432","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 : 2017-04-01DOI: 10.1109/ISGT.2017.8086078
S. Paul, Z. Ni
Power grid infrastructures have been exposed to several terrorists and cyber attacks from different perspectives and have resulted in critical system failures. Among different attack strategies, simultaneous attack is feasible for the attacker if enough resources are available at the moment. In this paper, vulnerability analysis for simultaneous attack is investigated, using a modified cascading failure simulator with reduced calculation time than the existing methods. A new damage measurement matrix is proposed with the loss of generation power and time to reach the steady-state condition. The combination of attacks that can result in a total blackout in the shortest time are considered as the strongest simultaneous attack for the system from attacker's viewpoint. The proposed approach can be used for general power system test cases. In this paper, we conducted the experiments on W&W 6 bus system and IEEE 30 bus system for demonstration of the result. The modified simulator can automatically find the strongest attack combinations for reaching maximum damage in terms of generation power loss and time to reach black-out.
{"title":"Vulnerability analysis for simultaneous attack in smart grid security","authors":"S. Paul, Z. Ni","doi":"10.1109/ISGT.2017.8086078","DOIUrl":"https://doi.org/10.1109/ISGT.2017.8086078","url":null,"abstract":"Power grid infrastructures have been exposed to several terrorists and cyber attacks from different perspectives and have resulted in critical system failures. Among different attack strategies, simultaneous attack is feasible for the attacker if enough resources are available at the moment. In this paper, vulnerability analysis for simultaneous attack is investigated, using a modified cascading failure simulator with reduced calculation time than the existing methods. A new damage measurement matrix is proposed with the loss of generation power and time to reach the steady-state condition. The combination of attacks that can result in a total blackout in the shortest time are considered as the strongest simultaneous attack for the system from attacker's viewpoint. The proposed approach can be used for general power system test cases. In this paper, we conducted the experiments on W&W 6 bus system and IEEE 30 bus system for demonstration of the result. The modified simulator can automatically find the strongest attack combinations for reaching maximum damage in terms of generation power loss and time to reach black-out.","PeriodicalId":296398,"journal":{"name":"2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123658128","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 : 2017-04-01DOI: 10.1109/ISGT.2017.8086064
Brycent Chatfield, Rami J. Haddad
The smart grid concept has compelled researchers to investigate cybersecurity approaches for infrastructure stability. Wireless mediums represent the backbone of communications in the smart grid especially for Home Area Networks (HAN). Increased connectivity brings about an inheritance of vulnerabilities associated with wireless networks. In particular, spoofing attacks poses an immediate threat to Confidentiality, Integrity, and Availability (CIA). In this study, an intrusion detection system (IDS) algorithm is proposed in which received signal strength indicator (RSSI) is analyzed by means of cosine similarity and data sectoring to detect spoofing attacks in smart grid 802.11 HANs. The detection accuracies are recorded at different spoofing distances and threshold levels.
{"title":"RSSI-based spoofing detection in smart grid IEEE 802.11 home area networks","authors":"Brycent Chatfield, Rami J. Haddad","doi":"10.1109/ISGT.2017.8086064","DOIUrl":"https://doi.org/10.1109/ISGT.2017.8086064","url":null,"abstract":"The smart grid concept has compelled researchers to investigate cybersecurity approaches for infrastructure stability. Wireless mediums represent the backbone of communications in the smart grid especially for Home Area Networks (HAN). Increased connectivity brings about an inheritance of vulnerabilities associated with wireless networks. In particular, spoofing attacks poses an immediate threat to Confidentiality, Integrity, and Availability (CIA). In this study, an intrusion detection system (IDS) algorithm is proposed in which received signal strength indicator (RSSI) is analyzed by means of cosine similarity and data sectoring to detect spoofing attacks in smart grid 802.11 HANs. The detection accuracies are recorded at different spoofing distances and threshold levels.","PeriodicalId":296398,"journal":{"name":"2017 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121888310","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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