Pub Date : 2017-12-14DOI: 10.1109/ICRERA.2017.8191132
Osama M. Hebala, A. Aboushady, K. Ahmed
This paper presents analysis of the non-isolated DC/DC triple active bridge (TAB) converter under various purely inductor-based AC link topologies. The objective of the analysis is to find the topology that incorporates the least value of the AC link inductors which leads to reduced converter footprint in addition to minimum internal current stresses. Modelling of the TAB under each of the different topologies is presented in per unit expressions of power transfer and reactive power assuming fundamental harmonic analysis. The power expressions are used to calculate the inductor values necessary to achieve same rated power transfer of Dual Active Bridge (DAB) converter for the sake of standardizing comparison. On this basis, the topology requiring the least value of interface inductors, hence lowest footprint, is identified. Furthermore, based on phase shift control, particle swarm optimization (PSO) is used to calculate optimal phase shift ratios in each of the proposed topologies to minimize reactive power loss (hence current stress). The topology with minimum stresses is therefore identified and the results are substantiated using a Matlab-Simulink model to verify the theoretical analysis.
{"title":"Analysis of AC link topologies in non-isolated DC/DC triple active bridge converter for current stress minimization","authors":"Osama M. Hebala, A. Aboushady, K. Ahmed","doi":"10.1109/ICRERA.2017.8191132","DOIUrl":"https://doi.org/10.1109/ICRERA.2017.8191132","url":null,"abstract":"This paper presents analysis of the non-isolated DC/DC triple active bridge (TAB) converter under various purely inductor-based AC link topologies. The objective of the analysis is to find the topology that incorporates the least value of the AC link inductors which leads to reduced converter footprint in addition to minimum internal current stresses. Modelling of the TAB under each of the different topologies is presented in per unit expressions of power transfer and reactive power assuming fundamental harmonic analysis. The power expressions are used to calculate the inductor values necessary to achieve same rated power transfer of Dual Active Bridge (DAB) converter for the sake of standardizing comparison. On this basis, the topology requiring the least value of interface inductors, hence lowest footprint, is identified. Furthermore, based on phase shift control, particle swarm optimization (PSO) is used to calculate optimal phase shift ratios in each of the proposed topologies to minimize reactive power loss (hence current stress). The topology with minimum stresses is therefore identified and the results are substantiated using a Matlab-Simulink model to verify the theoretical analysis.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"18 1","pages":"608-613"},"PeriodicalIF":0.0,"publicationDate":"2017-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86820136","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 : 2017-12-12DOI: 10.1109/DISTRA.2017.8191084
Nhung Nguyen-Hong, Nakanishi Yosuke
Unit commitment (UC) is a major problem in power system operation which determines the operation schedule of the generating units by minimizing system operation cost. Because of the uncertainty of wind power, the UC problem needs to solve as a multi-period stochastic optimization. In this stochastic problem, scenarios tree is generated and may be too large to be solved when time horizon is longer. This paper presents an approach based on Maximum Entropy principle to generate and reduce scenarios by transforming a stochastic process to a finite-state Markov chain process and finding transition probability matrix. This approach is applied to transform a wind power process modeled by ARMA(1,1) model with Stochastic Volatility. A simple stochastic unit commitment is solved in this article. Because of power system security, reserve constraints also considered.
{"title":"Stochastic unit commitment considering Markov process of wind power forecast","authors":"Nhung Nguyen-Hong, Nakanishi Yosuke","doi":"10.1109/DISTRA.2017.8191084","DOIUrl":"https://doi.org/10.1109/DISTRA.2017.8191084","url":null,"abstract":"Unit commitment (UC) is a major problem in power system operation which determines the operation schedule of the generating units by minimizing system operation cost. Because of the uncertainty of wind power, the UC problem needs to solve as a multi-period stochastic optimization. In this stochastic problem, scenarios tree is generated and may be too large to be solved when time horizon is longer. This paper presents an approach based on Maximum Entropy principle to generate and reduce scenarios by transforming a stochastic process to a finite-state Markov chain process and finding transition probability matrix. This approach is applied to transform a wind power process modeled by ARMA(1,1) model with Stochastic Volatility. A simple stochastic unit commitment is solved in this article. Because of power system security, reserve constraints also considered.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"4 1","pages":"348-353"},"PeriodicalIF":0.0,"publicationDate":"2017-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84261510","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 : 2017-12-12DOI: 10.1109/ICRERA.2017.8191101
J. Khazaei, D. H. Nguyen, N. M. Thao
This paper investigates a distributed consensus control design for heterogeneous energy storage devices in smart grids. Using communications between energy storage devices in the system, primary and secondary voltage/frequency control are achieved. The primary voltage and frequency synchronization is achieved by equally sharing the active and reactive powers among energy storage devices. The secondary voltage and frequency restoration is achieved by selecting one energy storage as a virtual leader, and other energy storage devices will act as followers to follow the leader energy storage system. The uniqueness of the proposed consensus design is the use of nominal values of grid voltage and frequency instead of their measured values. The proposed design is validated using modified IEEE 14-bus system in MATLAB.
{"title":"Primary and secondary voltage/frequency controller design for energy storage devices using consensus theory","authors":"J. Khazaei, D. H. Nguyen, N. M. Thao","doi":"10.1109/ICRERA.2017.8191101","DOIUrl":"https://doi.org/10.1109/ICRERA.2017.8191101","url":null,"abstract":"This paper investigates a distributed consensus control design for heterogeneous energy storage devices in smart grids. Using communications between energy storage devices in the system, primary and secondary voltage/frequency control are achieved. The primary voltage and frequency synchronization is achieved by equally sharing the active and reactive powers among energy storage devices. The secondary voltage and frequency restoration is achieved by selecting one energy storage as a virtual leader, and other energy storage devices will act as followers to follow the leader energy storage system. The uniqueness of the proposed consensus design is the use of nominal values of grid voltage and frequency instead of their measured values. The proposed design is validated using modified IEEE 14-bus system in MATLAB.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"1 1","pages":"447-453"},"PeriodicalIF":0.0,"publicationDate":"2017-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86674256","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 : 2017-12-12DOI: 10.1109/ICRERA.2017.8191272
Semaria Ruiz Alvarez, A. Ruiz, J. Oviedo
This paper proposes to use a combinatorial optimization technique, the branch and cut algorithm, to design an hybrid isolated microgrid in the Colombian community of Unguia. In addition, this paper presents a comparison between the designs obtained with the branch and cut algorithm, the software HOMER and a genetic algorithm for the Unguia community. The proposed microgrid includes two diesel generators whose infrastructure already exists in the community, photovoltaic panels, wind turbines and two storage systems: batteries and hydro-pumped storage. The goal of the design is to dimension the hydro-pumped storage tank, pump, hydraulic turbine, and to choose the number of batteries, panels and wind turbines that minimize the annual costs and CO2 system emissions. The proposed designs ensure a level of reliability on the system. Simulation results show that the design with the branch and cut algorithm have the lowest cost for the Unguia microgrid.
{"title":"Optimal design of a diesel-PV-wind system with batteries and hydro pumped storage in a Colombian community","authors":"Semaria Ruiz Alvarez, A. Ruiz, J. Oviedo","doi":"10.1109/ICRERA.2017.8191272","DOIUrl":"https://doi.org/10.1109/ICRERA.2017.8191272","url":null,"abstract":"This paper proposes to use a combinatorial optimization technique, the branch and cut algorithm, to design an hybrid isolated microgrid in the Colombian community of Unguia. In addition, this paper presents a comparison between the designs obtained with the branch and cut algorithm, the software HOMER and a genetic algorithm for the Unguia community. The proposed microgrid includes two diesel generators whose infrastructure already exists in the community, photovoltaic panels, wind turbines and two storage systems: batteries and hydro-pumped storage. The goal of the design is to dimension the hydro-pumped storage tank, pump, hydraulic turbine, and to choose the number of batteries, panels and wind turbines that minimize the annual costs and CO2 system emissions. The proposed designs ensure a level of reliability on the system. Simulation results show that the design with the branch and cut algorithm have the lowest cost for the Unguia microgrid.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"12 1","pages":"234-239"},"PeriodicalIF":0.0,"publicationDate":"2017-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90906185","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 : 2017-12-12DOI: 10.1109/ICRERA.2017.8191209
I. S. Bayram, M. Koç, Omar Alrawi, Hassan Al-Naimi
Meeting peak electricity demand in Qatar has become a major priority as the consumption levels have been increasing dramatically during the last years. The primary source of customer demand is air conditioning which is a necessity during sweltering summer months. Even though, decision-makers have initiated energy efficiency measures, demand response programs which aim to reduce customer demand during peak periods, are yet to be implemented. In this paper, we present direct load control (DLC) of air conditioner (AC) units in a typical Qatari villa during summer 2017. We deployed an energy monitor, thermal and hygrometers to measure power demand and the changes in the thermal comfort. Results indicate that significant demand reductions can be achieved by curtailing AC units for 15 to 30 min at units with active occupants, while further savings are feasible if AC is cut for an hour or longer at units whose residents are on summer vacation. Such results provide critical insights in assessing demand reduction potential of Qatar and determining associated economic savings.
{"title":"Direct load control of air conditioners in Qatar: An empirical study","authors":"I. S. Bayram, M. Koç, Omar Alrawi, Hassan Al-Naimi","doi":"10.1109/ICRERA.2017.8191209","DOIUrl":"https://doi.org/10.1109/ICRERA.2017.8191209","url":null,"abstract":"Meeting peak electricity demand in Qatar has become a major priority as the consumption levels have been increasing dramatically during the last years. The primary source of customer demand is air conditioning which is a necessity during sweltering summer months. Even though, decision-makers have initiated energy efficiency measures, demand response programs which aim to reduce customer demand during peak periods, are yet to be implemented. In this paper, we present direct load control (DLC) of air conditioner (AC) units in a typical Qatari villa during summer 2017. We deployed an energy monitor, thermal and hygrometers to measure power demand and the changes in the thermal comfort. Results indicate that significant demand reductions can be achieved by curtailing AC units for 15 to 30 min at units with active occupants, while further savings are feasible if AC is cut for an hour or longer at units whose residents are on summer vacation. Such results provide critical insights in assessing demand reduction potential of Qatar and determining associated economic savings.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"1 1","pages":"1007-1012"},"PeriodicalIF":0.0,"publicationDate":"2017-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78728305","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 : 2017-12-12DOI: 10.1109/ICRERA.2017.8191162
Hongzhong Zhu, M. Sueyoshi, Changhong Hu, S. Yoshida
This paper addresses the modeling and attitude control of a novel shrouded floating wind turbine with hinged structure in harsh environmental conditions. Firstly, SimMechanics™ is applied to model the mechanical components of the wind turbine system. Secondly, the wave- and wind-loads acting on the system are respectively calculated based on Morison's equation and blade element momentum theory. Controllers of the elevator and the rudder located at the upwind side are designed based on linearized models to enhance the stability of the system. Numerical examples with three extreme weather conditions are finally performed to verify the effectiveness of the controllers. The results demonstrate that the pitching motion of the nacelle can be regulated to be within 3 degrees in the examples. In addition, the wind turbine could yaw itself stably toward the wind direction.
{"title":"Modelling and attitude control of a shrouded floating offshore wind turbine with hinged structure in extreme conditions","authors":"Hongzhong Zhu, M. Sueyoshi, Changhong Hu, S. Yoshida","doi":"10.1109/ICRERA.2017.8191162","DOIUrl":"https://doi.org/10.1109/ICRERA.2017.8191162","url":null,"abstract":"This paper addresses the modeling and attitude control of a novel shrouded floating wind turbine with hinged structure in harsh environmental conditions. Firstly, SimMechanics™ is applied to model the mechanical components of the wind turbine system. Secondly, the wave- and wind-loads acting on the system are respectively calculated based on Morison's equation and blade element momentum theory. Controllers of the elevator and the rudder located at the upwind side are designed based on linearized models to enhance the stability of the system. Numerical examples with three extreme weather conditions are finally performed to verify the effectiveness of the controllers. The results demonstrate that the pitching motion of the nacelle can be regulated to be within 3 degrees in the examples. In addition, the wind turbine could yaw itself stably toward the wind direction.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"114 1","pages":"762-767"},"PeriodicalIF":0.0,"publicationDate":"2017-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72886572","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 : 2017-11-01DOI: 10.1109/DISTRA.2017.8191131
Yasen A. Harrye, A. Aboushady, K. Ahmed
This paper presents a new structure of a power sharing controller for a modular based dual active bridge (DAB) DC/DC converter. The modular topology is based on input-series output-parallel (ISOP) connection of DAB modules suitable for a voltage step down application at medium voltage level. Since DAB has bi-directional power flow capability, this connection would act as its dual input-parallel output-series (IPOS) counterpart in the case of reverse power flow. The proposed power sharing controller ensures uniform power sharing among the modules even in the case of parameter mismatches as well as manages converter operation during pole-to-pole and individual module DC faults. Results for the proposed controller are justified using a detailed Matlab simulation model.
{"title":"Power sharing controller for modular dual active bridge DC/DC converter in medium voltage DC applications","authors":"Yasen A. Harrye, A. Aboushady, K. Ahmed","doi":"10.1109/DISTRA.2017.8191131","DOIUrl":"https://doi.org/10.1109/DISTRA.2017.8191131","url":null,"abstract":"This paper presents a new structure of a power sharing controller for a modular based dual active bridge (DAB) DC/DC converter. The modular topology is based on input-series output-parallel (ISOP) connection of DAB modules suitable for a voltage step down application at medium voltage level. Since DAB has bi-directional power flow capability, this connection would act as its dual input-parallel output-series (IPOS) counterpart in the case of reverse power flow. The proposed power sharing controller ensures uniform power sharing among the modules even in the case of parameter mismatches as well as manages converter operation during pole-to-pole and individual module DC faults. Results for the proposed controller are justified using a detailed Matlab simulation model.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"36 1","pages":"602-607"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75171413","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 : 2017-11-01DOI: 10.1109/ICRERA.2017.8191240
T. Harighi, R. Bayindir, Eklas Hossain
The world has grown quickly and almost all the transportation equipment work with fossil fuels. Since electrical energy can be generated from clean and efficient sources, the world energy consumption should change to electric type. Charge stations should be bidirectional so that power could be transferred from grid to vehicle and vice versa. In this condition, the grid is prone to new kind of challenges. When the section analysis is incorrect, the grid may come down with over load, voltage instability and protection error. In this paper, we illustrate some problems of the grid with EVs and other issues for analysis. If the problems of the grid are detected beforehand, they will be easier to solve.
{"title":"Overview of quality of service evaluation of a charging station for electric vehicle","authors":"T. Harighi, R. Bayindir, Eklas Hossain","doi":"10.1109/ICRERA.2017.8191240","DOIUrl":"https://doi.org/10.1109/ICRERA.2017.8191240","url":null,"abstract":"The world has grown quickly and almost all the transportation equipment work with fossil fuels. Since electrical energy can be generated from clean and efficient sources, the world energy consumption should change to electric type. Charge stations should be bidirectional so that power could be transferred from grid to vehicle and vice versa. In this condition, the grid is prone to new kind of challenges. When the section analysis is incorrect, the grid may come down with over load, voltage instability and protection error. In this paper, we illustrate some problems of the grid with EVs and other issues for analysis. If the problems of the grid are detected beforehand, they will be easier to solve.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"1 1","pages":"1180-1185"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75280412","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 : 2017-11-01DOI: 10.1109/ICRERA.2017.8191267
A. Dolara, A. Gandelli, F. Grimaccia, S. Leva, M. Mussetta
This paper presents the development of forecast models for a wind farm producibility with a 24 hours horizon. The aim is to obtain accurate wind power predictions by using feedforward artificial neural networks. In particular, different forecasting models are developed and for each of them the best architecture is researched by means of sensitivity analysis, modifying the main parameters of the artificial neural network. The results obtained are compared with the forecasts provided by numerical weather prediction models (NWP).
{"title":"Weather-based machine learning technique for Day-Ahead wind power forecasting","authors":"A. Dolara, A. Gandelli, F. Grimaccia, S. Leva, M. Mussetta","doi":"10.1109/ICRERA.2017.8191267","DOIUrl":"https://doi.org/10.1109/ICRERA.2017.8191267","url":null,"abstract":"This paper presents the development of forecast models for a wind farm producibility with a 24 hours horizon. The aim is to obtain accurate wind power predictions by using feedforward artificial neural networks. In particular, different forecasting models are developed and for each of them the best architecture is researched by means of sensitivity analysis, modifying the main parameters of the artificial neural network. The results obtained are compared with the forecasts provided by numerical weather prediction models (NWP).","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"32 1","pages":"206-209"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72924107","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 : 2017-11-01DOI: 10.1109/ICRERA.2017.8191097
Oluwaseun M. Akeyo, V. Rallabandi, D. Ionel
Solar photovoltaic (PV) renewable energy systems are undergoing major technological developments and large-scale field deployment and electric grid integration. This paper proposes a method of expanding the capacity of an existing irrigation farm with additional pumps powered by solar PV. The system includes PV arrays and battery energy storage connected to a common dc bus, which energizes an array of variable speed inverter driven pumps. Capacity modulation is achieved by energizing an optimal number of pumps required in order to meet a particular load demand with minimum supply energy. A grid connection to the dc bus of the power electronic system is established via a bidirectional converter, such that active and reactive power demands can be both serviced. The controls and the steady-state and transient performance of the system are implemented and simulated with the PSCADTM/EMTDCTM software.
{"title":"Multi-MW solar PV pumping system with capacity modulation and battery voltage support","authors":"Oluwaseun M. Akeyo, V. Rallabandi, D. Ionel","doi":"10.1109/ICRERA.2017.8191097","DOIUrl":"https://doi.org/10.1109/ICRERA.2017.8191097","url":null,"abstract":"Solar photovoltaic (PV) renewable energy systems are undergoing major technological developments and large-scale field deployment and electric grid integration. This paper proposes a method of expanding the capacity of an existing irrigation farm with additional pumps powered by solar PV. The system includes PV arrays and battery energy storage connected to a common dc bus, which energizes an array of variable speed inverter driven pumps. Capacity modulation is achieved by energizing an optimal number of pumps required in order to meet a particular load demand with minimum supply energy. A grid connection to the dc bus of the power electronic system is established via a bidirectional converter, such that active and reactive power demands can be both serviced. The controls and the steady-state and transient performance of the system are implemented and simulated with the PSCADTM/EMTDCTM software.","PeriodicalId":6535,"journal":{"name":"2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA)","volume":"4 1","pages":"423-428"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73207233","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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