Pub Date : 2015-12-01DOI: 10.1109/SGC.2015.7857390
Rahmat Khezri, Shoresh Shokoohi, S. Golshannavaz, H. Bevrani
Recently by technological developments in inverterbased devices, application of these prominent apparatus has gained more attention in newly emerged microgrids (MGs). In this paradigm, the concept of multiple inverter-interfaced distributed generations (IIDGs)-based MG is now a reputable term. According to fast dynamic responses of IIDGs, study of their transient behaviors seems essential. Among the important indices of IIDG-based MGs in transient situations, the current index is the most susceptible one, which should not be higher than twice values of rated current due to their physical constraints. This paper proposes a proportional-integral (PI) controller adjoined in the voltage source inverter control loop to well-protect the IIDGs against the possible over currents during short circuit faults in MG. To adapt the PI controller for both connected and autonomous modes and different short circuit faults in MG, fuzzy logic as an intelligent method is employed to fine-tune of the PI gains. The obtained results illustrate the efficiency of fuzzy-based fine tuning approach.
{"title":"Intelligent over-current protection scheme in inverter-based microgrids","authors":"Rahmat Khezri, Shoresh Shokoohi, S. Golshannavaz, H. Bevrani","doi":"10.1109/SGC.2015.7857390","DOIUrl":"https://doi.org/10.1109/SGC.2015.7857390","url":null,"abstract":"Recently by technological developments in inverterbased devices, application of these prominent apparatus has gained more attention in newly emerged microgrids (MGs). In this paradigm, the concept of multiple inverter-interfaced distributed generations (IIDGs)-based MG is now a reputable term. According to fast dynamic responses of IIDGs, study of their transient behaviors seems essential. Among the important indices of IIDG-based MGs in transient situations, the current index is the most susceptible one, which should not be higher than twice values of rated current due to their physical constraints. This paper proposes a proportional-integral (PI) controller adjoined in the voltage source inverter control loop to well-protect the IIDGs against the possible over currents during short circuit faults in MG. To adapt the PI controller for both connected and autonomous modes and different short circuit faults in MG, fuzzy logic as an intelligent method is employed to fine-tune of the PI gains. The obtained results illustrate the efficiency of fuzzy-based fine tuning approach.","PeriodicalId":117785,"journal":{"name":"2015 Smart Grid Conference (SGC)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116668903","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 : 2015-12-01DOI: 10.1109/SGC.2015.7857388
S. Pazouki, M. Haghifam
One of the big concerns of big cities is facing with the increase of fossil fuel vehicles in the roads. The cars intensify greenhouse gas emission in civic centers. One approach to reduce the emission is replacing the cars by Plug-In Electric Vehicles (PEVs). In spite of reducing the emission, PEVs have some adverse effect on electric distribution networks. Technical challenges such as load and loss factors are some of the considerable problems. In this paper, in order to overcome the problems, the effect of integration of different energy networks is introduced. Two scenarios are proposed. In first scenario, a parking lot is just supplied by just electric distribution network. In second scenario, the parking lot is supplied by electricity and gas networks. Finally, the significant effect of multi carrier energy networks to supply the vehicles is confirmed.
{"title":"The prominence of integrating heterogeneous energy carrier networks for operation of plug-in electric vehicles","authors":"S. Pazouki, M. Haghifam","doi":"10.1109/SGC.2015.7857388","DOIUrl":"https://doi.org/10.1109/SGC.2015.7857388","url":null,"abstract":"One of the big concerns of big cities is facing with the increase of fossil fuel vehicles in the roads. The cars intensify greenhouse gas emission in civic centers. One approach to reduce the emission is replacing the cars by Plug-In Electric Vehicles (PEVs). In spite of reducing the emission, PEVs have some adverse effect on electric distribution networks. Technical challenges such as load and loss factors are some of the considerable problems. In this paper, in order to overcome the problems, the effect of integration of different energy networks is introduced. Two scenarios are proposed. In first scenario, a parking lot is just supplied by just electric distribution network. In second scenario, the parking lot is supplied by electricity and gas networks. Finally, the significant effect of multi carrier energy networks to supply the vehicles is confirmed.","PeriodicalId":117785,"journal":{"name":"2015 Smart Grid Conference (SGC)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124221050","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 : 2015-12-01DOI: 10.1109/SGC.2015.7857413
A. Rabiee, A. Behju
This paper presents an improved power management systm (PMS) for wind diesel hybrid system (WDHS). The proposed PMS includes reverse power protection of diesel engine (DE), battery protection by keeping the minimium value of state of charge (SOC) at ten percents, and also load shedding of non-critical loads in the case of generation shortage in the microgrid. The extra active power output of wind turbine, is firstly stored in battaries if not fully charged and secondly, is consumed at the dump load. The proposed controller for microgrid is simulated in MALTLAB simulink and its performance is studied in different generating and loading condtions of microgrid. The results show the effectiveness of the power management system in improving the transient and steady state performance of the microgrid.
{"title":"A modified power management system for microgrids including load shedding","authors":"A. Rabiee, A. Behju","doi":"10.1109/SGC.2015.7857413","DOIUrl":"https://doi.org/10.1109/SGC.2015.7857413","url":null,"abstract":"This paper presents an improved power management systm (PMS) for wind diesel hybrid system (WDHS). The proposed PMS includes reverse power protection of diesel engine (DE), battery protection by keeping the minimium value of state of charge (SOC) at ten percents, and also load shedding of non-critical loads in the case of generation shortage in the microgrid. The extra active power output of wind turbine, is firstly stored in battaries if not fully charged and secondly, is consumed at the dump load. The proposed controller for microgrid is simulated in MALTLAB simulink and its performance is studied in different generating and loading condtions of microgrid. The results show the effectiveness of the power management system in improving the transient and steady state performance of the microgrid.","PeriodicalId":117785,"journal":{"name":"2015 Smart Grid Conference (SGC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132468736","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 : 2015-12-01DOI: 10.1109/SGC.2015.7857417
A. Salami, M. Farsi
Demand response as a demand side management program, can be a solution for providing the electrical power at peak times. In this paper an effective demand response program is proposed that not only reduces the consumer bill costs and demand peak, but also increases the utility benefit. According to use different method of demand response use, different results are obtained that can be either useful for cost saving or peak reduction. Produced structures by proposed demand response method are optimized by differential evolution algorithm. Simulation results for proposed structures are presented and an executive comparison for these results is done.
{"title":"A cooperative demand response program for smart grids","authors":"A. Salami, M. Farsi","doi":"10.1109/SGC.2015.7857417","DOIUrl":"https://doi.org/10.1109/SGC.2015.7857417","url":null,"abstract":"Demand response as a demand side management program, can be a solution for providing the electrical power at peak times. In this paper an effective demand response program is proposed that not only reduces the consumer bill costs and demand peak, but also increases the utility benefit. According to use different method of demand response use, different results are obtained that can be either useful for cost saving or peak reduction. Produced structures by proposed demand response method are optimized by differential evolution algorithm. Simulation results for proposed structures are presented and an executive comparison for these results is done.","PeriodicalId":117785,"journal":{"name":"2015 Smart Grid Conference (SGC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114888668","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 : 2015-12-01DOI: 10.1109/SGC.2015.7857424
Payam Mahmoudi Nasr, A. Y. Varjani
Insider attacks are one of the most dangerous threats on security of critical infrastructures. An insider attack occurs when an authorized operator misuses the permissions, and brings catastrophic damages by sending legitimate control commands. Providing too many permissions may backfire, when operators wrongly or deliberately abuse their privileges. Therefore, an access control model is required to provide necessary permissions and prevent malicious usage. This paper proposes a new access control model in Supervisory Control and Data Acquisition (SCADA) system. Proposed model extends the Role Based Access Control (RBAC) model by incorporating an operator trust assessment process. The operator trust is calculated periodically or when an insider attack is detected. The simulation results illustrate that the proposed model is effective, and the access of attacker or unskilled operator will be limited as the access of skilled operator will be increased.
{"title":"An alarm based access control model for SCADA system","authors":"Payam Mahmoudi Nasr, A. Y. Varjani","doi":"10.1109/SGC.2015.7857424","DOIUrl":"https://doi.org/10.1109/SGC.2015.7857424","url":null,"abstract":"Insider attacks are one of the most dangerous threats on security of critical infrastructures. An insider attack occurs when an authorized operator misuses the permissions, and brings catastrophic damages by sending legitimate control commands. Providing too many permissions may backfire, when operators wrongly or deliberately abuse their privileges. Therefore, an access control model is required to provide necessary permissions and prevent malicious usage. This paper proposes a new access control model in Supervisory Control and Data Acquisition (SCADA) system. Proposed model extends the Role Based Access Control (RBAC) model by incorporating an operator trust assessment process. The operator trust is calculated periodically or when an insider attack is detected. The simulation results illustrate that the proposed model is effective, and the access of attacker or unskilled operator will be limited as the access of skilled operator will be increased.","PeriodicalId":117785,"journal":{"name":"2015 Smart Grid Conference (SGC)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127299386","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 : 2015-12-01DOI: 10.1109/SGC.2015.7857387
A. Bagheri, V. Vahidinasab
In the recent years, due to the greenhouse gas emissions and the world climate change issue, the use of distributed energy resources (DERs) have gained a lot of attention of researchers. On the other hand, the integration of DERs into the distribution level of power systems increased the complexity of the operation related problems, especially in the distribution networks. In this paper, we present a mixed-integer linear programming (MILP) framework to solve a three-phase optimal power flow (TOPF) problem in the distribution networks which are connected to the main grid or not. The proposed formulation is tested on a modified version of IEEE- 37 node distribution test feeder and solved by a presented single-stage robust approach. The results show the flexibility and advantages of this framework to other linear and nonlinear approaches.
{"title":"Three-phase OPF in distribution networks with high penetration of DERs","authors":"A. Bagheri, V. Vahidinasab","doi":"10.1109/SGC.2015.7857387","DOIUrl":"https://doi.org/10.1109/SGC.2015.7857387","url":null,"abstract":"In the recent years, due to the greenhouse gas emissions and the world climate change issue, the use of distributed energy resources (DERs) have gained a lot of attention of researchers. On the other hand, the integration of DERs into the distribution level of power systems increased the complexity of the operation related problems, especially in the distribution networks. In this paper, we present a mixed-integer linear programming (MILP) framework to solve a three-phase optimal power flow (TOPF) problem in the distribution networks which are connected to the main grid or not. The proposed formulation is tested on a modified version of IEEE- 37 node distribution test feeder and solved by a presented single-stage robust approach. The results show the flexibility and advantages of this framework to other linear and nonlinear approaches.","PeriodicalId":117785,"journal":{"name":"2015 Smart Grid Conference (SGC)","volume":"26 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123275846","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 : 2015-12-01DOI: 10.1109/SGC.2015.7857423
M. Farajollahi, S. H. Hosseini, M. Fotuhi‐Firuzabad, A. Safdarian
Power system operation is undeniably affected by system security indications providing system operators with insight into power system status. In this regard, any tampered data would compromise power system security. This paper aims at presenting an approach to scrutinize the impact of cyber attacks on the system security indices. With this in mind, two well-known system security indices representing voltage and loading severities are taken into account. The approach uses genetic algorithm to find the most severe conditions for each security index from financial and technical viewpoints. In the former, bad data injection targets to overestimate security indices resulting in unnecessary preventive actions, thus higher operation costs. In the latter, however, underestimation of security indices may threat system security. The proposed algorithm is applied to the standard IEEE 30-bus system. The obtained results indicate how cyber attacks could manipulate the system security indices, leading to fallacious insight over power system status.
{"title":"Bad data injection as a threat for power system security","authors":"M. Farajollahi, S. H. Hosseini, M. Fotuhi‐Firuzabad, A. Safdarian","doi":"10.1109/SGC.2015.7857423","DOIUrl":"https://doi.org/10.1109/SGC.2015.7857423","url":null,"abstract":"Power system operation is undeniably affected by system security indications providing system operators with insight into power system status. In this regard, any tampered data would compromise power system security. This paper aims at presenting an approach to scrutinize the impact of cyber attacks on the system security indices. With this in mind, two well-known system security indices representing voltage and loading severities are taken into account. The approach uses genetic algorithm to find the most severe conditions for each security index from financial and technical viewpoints. In the former, bad data injection targets to overestimate security indices resulting in unnecessary preventive actions, thus higher operation costs. In the latter, however, underestimation of security indices may threat system security. The proposed algorithm is applied to the standard IEEE 30-bus system. The obtained results indicate how cyber attacks could manipulate the system security indices, leading to fallacious insight over power system status.","PeriodicalId":117785,"journal":{"name":"2015 Smart Grid Conference (SGC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116213801","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 : 2015-12-01DOI: 10.1109/SGC.2015.7857425
Seyed Abbas Tabatabaei Khorram, Ali Abbaspour Tehrani Fard, M. Fotuhi‐Firuzabad, A. Safdarian
Increasing redundant paths in transmission grids has always been thought to be a tool to enhance service reliability. However, network equations by intertwining power flows through redundant paths impose more limits on systems with more redundancy. Accordingly, autonomous removing of a few lines may relief capacity limit violations in some contingency events thereby enhancing service reliability. This paper aims to study impacts of manual removing of transmission lines on composite system reliability. For doing so, the existing model is extended to consider optimal transmission switching (OTS) as a remedial action. The model minimizes total damage cost imposed by load curtailments. The extended model is formulated in mixed integer linear programming (MILP) format that can be easily solved via commercial solvers. The model is applied to likely contingencies wherein violations in capacity limits are encountered. Then, the results along with occurrence probability of the contingencies are taken into use to calculate load point and system oriented reliability indices. Simulation results on the modified reliability test system (MRTS) demonstrate great enhancements in service reliability when OTS is realized.
{"title":"Optimal transmission switching as a remedial action to enhance composite system reliability","authors":"Seyed Abbas Tabatabaei Khorram, Ali Abbaspour Tehrani Fard, M. Fotuhi‐Firuzabad, A. Safdarian","doi":"10.1109/SGC.2015.7857425","DOIUrl":"https://doi.org/10.1109/SGC.2015.7857425","url":null,"abstract":"Increasing redundant paths in transmission grids has always been thought to be a tool to enhance service reliability. However, network equations by intertwining power flows through redundant paths impose more limits on systems with more redundancy. Accordingly, autonomous removing of a few lines may relief capacity limit violations in some contingency events thereby enhancing service reliability. This paper aims to study impacts of manual removing of transmission lines on composite system reliability. For doing so, the existing model is extended to consider optimal transmission switching (OTS) as a remedial action. The model minimizes total damage cost imposed by load curtailments. The extended model is formulated in mixed integer linear programming (MILP) format that can be easily solved via commercial solvers. The model is applied to likely contingencies wherein violations in capacity limits are encountered. Then, the results along with occurrence probability of the contingencies are taken into use to calculate load point and system oriented reliability indices. Simulation results on the modified reliability test system (MRTS) demonstrate great enhancements in service reliability when OTS is realized.","PeriodicalId":117785,"journal":{"name":"2015 Smart Grid Conference (SGC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123433972","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 : 2015-12-01DOI: 10.1109/SGC.2015.7857385
Hassan Haes Alhelou, M. Golshan, Masoud Hajiakbari Fini
A high penetration level of renewable energy sources such as wind power turbines and solar photovoltaic generation, in micro-grid systems causes some problems to micro-grid operator, e.g., lack in primary reserve. Recently, many countries around the world decided to increase their electric vehicles in the near future which provide a good chance to use them as a battery energy storage system (BESS). This paper proposes a new scheme to provide necessary primary reserve from electric vehicles by using multi-agent control of each individual vehicle. The proposed scheme determines the primary reserve based on vehicle’s information such as initial state of charge (SOC), the required SOC for the next trip, and the vehicle’s departure time. The effectiveness of the proposed scheme is shown by the simulation study in a micro-grid with several generation units such as diesel engine generator (DEG), flywheel, fuel cell, renewable energy resources, and electric vehicles.
{"title":"Multi agent electric vehicle control based primary frequency support for future smart micro-grid","authors":"Hassan Haes Alhelou, M. Golshan, Masoud Hajiakbari Fini","doi":"10.1109/SGC.2015.7857385","DOIUrl":"https://doi.org/10.1109/SGC.2015.7857385","url":null,"abstract":"A high penetration level of renewable energy sources such as wind power turbines and solar photovoltaic generation, in micro-grid systems causes some problems to micro-grid operator, e.g., lack in primary reserve. Recently, many countries around the world decided to increase their electric vehicles in the near future which provide a good chance to use them as a battery energy storage system (BESS). This paper proposes a new scheme to provide necessary primary reserve from electric vehicles by using multi-agent control of each individual vehicle. The proposed scheme determines the primary reserve based on vehicle’s information such as initial state of charge (SOC), the required SOC for the next trip, and the vehicle’s departure time. The effectiveness of the proposed scheme is shown by the simulation study in a micro-grid with several generation units such as diesel engine generator (DEG), flywheel, fuel cell, renewable energy resources, and electric vehicles.","PeriodicalId":117785,"journal":{"name":"2015 Smart Grid Conference (SGC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116621038","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 : 2015-12-01DOI: 10.1109/SGC.2015.7857389
S. Pazouki, M. Haghifam
Greenhouse gas emission and growing demands are among the most significant challenges that societies are encountered in the 21th century. One powerful solution in response to the challenges is utilization of the Distributed Energy Resources (DERs) in electric distribution networks. However, the integration of DERs to the electric power grid causes some challenges for the power grids. The increase of loss and load factors are among the challenges. Therefore, in this paper, the effect of DERs on the electric distribution networks is taken into account. Effects of installation of Combined Heat and Power (CHP), Wind Turbine (WT), Energy Storage (ES), and Demand Response (DR) programs on electric distribution networks are considered in this work. To do so, Energy Hub (EH) approach is utilized in order to model integration of the aforementioned distributed energy resources on the electric distribution networks.
{"title":"Economic and technical influences of distributed energy resources in smart energy hubs","authors":"S. Pazouki, M. Haghifam","doi":"10.1109/SGC.2015.7857389","DOIUrl":"https://doi.org/10.1109/SGC.2015.7857389","url":null,"abstract":"Greenhouse gas emission and growing demands are among the most significant challenges that societies are encountered in the 21th century. One powerful solution in response to the challenges is utilization of the Distributed Energy Resources (DERs) in electric distribution networks. However, the integration of DERs to the electric power grid causes some challenges for the power grids. The increase of loss and load factors are among the challenges. Therefore, in this paper, the effect of DERs on the electric distribution networks is taken into account. Effects of installation of Combined Heat and Power (CHP), Wind Turbine (WT), Energy Storage (ES), and Demand Response (DR) programs on electric distribution networks are considered in this work. To do so, Energy Hub (EH) approach is utilized in order to model integration of the aforementioned distributed energy resources on the electric distribution networks.","PeriodicalId":117785,"journal":{"name":"2015 Smart Grid Conference (SGC)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115118430","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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