Pub Date : 2016-10-01DOI: 10.1109/APPEEC.2016.7779530
Yuan-Kang Wu, Ye Guan-Ting, Ting-Yen Hsieh, Bo-Shiung Jan
Generation cost of an island power systems typically exceed that of a large grid system. Therefore, most countries initiate their plans to develop renewable energy on remote offshore islands. However, the integration of a significant amount of renewable power in isolated systems requires careful consideration in order to ensure high reliability and security for the power system operation. To consider system economics and stability simultaneously, an optimal algorithm to determine the real-time economic dispatch (ED) is the first step. In several island power systems, the incremental fuel cost is non monotonicity so that several conventional economic dispatch methods could not be applied to those systems. This study discussed various ED methods and implemented mixed integer linear programming (MILP) to an actual island power system.
{"title":"Economic dispatch in an offshore island system with high wind power penetration","authors":"Yuan-Kang Wu, Ye Guan-Ting, Ting-Yen Hsieh, Bo-Shiung Jan","doi":"10.1109/APPEEC.2016.7779530","DOIUrl":"https://doi.org/10.1109/APPEEC.2016.7779530","url":null,"abstract":"Generation cost of an island power systems typically exceed that of a large grid system. Therefore, most countries initiate their plans to develop renewable energy on remote offshore islands. However, the integration of a significant amount of renewable power in isolated systems requires careful consideration in order to ensure high reliability and security for the power system operation. To consider system economics and stability simultaneously, an optimal algorithm to determine the real-time economic dispatch (ED) is the first step. In several island power systems, the incremental fuel cost is non monotonicity so that several conventional economic dispatch methods could not be applied to those systems. This study discussed various ED methods and implemented mixed integer linear programming (MILP) to an actual island power system.","PeriodicalId":117485,"journal":{"name":"2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125936171","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 : 2016-10-01DOI: 10.1109/APPEEC.2016.7779723
Liu Jun, Yang Fan, W. Peng
Loop closing operation is an important measure for the power dispatching center to adjust distribution network operation mode without power interruption. However, the traditional distribution network reconfiguration method usually doesn't consider the loop closing constraints. This paper builds a new distribution network reconfiguration model considering the loop closing operation. This model takes the minimum of network losses as objective function and considers the constraints of node voltage and line power during loop closing operations. The greedy randomized adaptive search procedure algorithm is adopted to solve the new model to get the optimum reconfiguration scheme without power interruption. The numerical results in 14-bus system validate the correctness and effectiveness of the proposed new model and algorithm.
{"title":"Distribution network reconfiguration method considering loop closing constraints","authors":"Liu Jun, Yang Fan, W. Peng","doi":"10.1109/APPEEC.2016.7779723","DOIUrl":"https://doi.org/10.1109/APPEEC.2016.7779723","url":null,"abstract":"Loop closing operation is an important measure for the power dispatching center to adjust distribution network operation mode without power interruption. However, the traditional distribution network reconfiguration method usually doesn't consider the loop closing constraints. This paper builds a new distribution network reconfiguration model considering the loop closing operation. This model takes the minimum of network losses as objective function and considers the constraints of node voltage and line power during loop closing operations. The greedy randomized adaptive search procedure algorithm is adopted to solve the new model to get the optimum reconfiguration scheme without power interruption. The numerical results in 14-bus system validate the correctness and effectiveness of the proposed new model and algorithm.","PeriodicalId":117485,"journal":{"name":"2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124626956","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 : 2016-10-01DOI: 10.1109/APPEEC.2016.7779582
Ye Hua, Yanan Tang, Z. Qi
A novel model for the simulation of diverse transients covering multiple time-scales for modular multilevel converter (MMC)-based voltage source converter (VSC) is presented. It makes use of the method of shifted frequency analysis (SFA) in which the carrier with a frequency of 50 or 60 Hz is removed at VSC ac-side system. Using the SFA, an average-value model (AVM)-based MMC-VSC multi-scale transient model is developed, resulting in a flexible simulation of electromechanical and electromagnetic transients (EMT) by adjusting the time-step sizes. This can also be achieved in the multi-terminal DC (MTDC) transmission systems. The effectiveness of the proposed model is validated by comparisons with EMT model to simulate diverse transients such as phase-to-ground faults and wind power fluctuations in a realistic three-terminal DC grid.
{"title":"A novel model of MMC-VSC for simulating multi-scale transients in MTDC transmission systems","authors":"Ye Hua, Yanan Tang, Z. Qi","doi":"10.1109/APPEEC.2016.7779582","DOIUrl":"https://doi.org/10.1109/APPEEC.2016.7779582","url":null,"abstract":"A novel model for the simulation of diverse transients covering multiple time-scales for modular multilevel converter (MMC)-based voltage source converter (VSC) is presented. It makes use of the method of shifted frequency analysis (SFA) in which the carrier with a frequency of 50 or 60 Hz is removed at VSC ac-side system. Using the SFA, an average-value model (AVM)-based MMC-VSC multi-scale transient model is developed, resulting in a flexible simulation of electromechanical and electromagnetic transients (EMT) by adjusting the time-step sizes. This can also be achieved in the multi-terminal DC (MTDC) transmission systems. The effectiveness of the proposed model is validated by comparisons with EMT model to simulate diverse transients such as phase-to-ground faults and wind power fluctuations in a realistic three-terminal DC grid.","PeriodicalId":117485,"journal":{"name":"2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124667628","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 : 2016-10-01DOI: 10.1109/APPEEC.2016.7779460
Xuehui Jian, Li Zhang
To deal with the uncertainty rising with high wind penetration, it is technically and economically important to consider reserve provision by wind generation (WG). Storage could mitigate the WG volatility, so reserve provision by combination of WG and storage could be more competitive in reserve market. This paper presents a new unit commitment (UC) model, in which both WG reserve opportunity cost and storage cost are introduced into the objective, and new WG and storage reserve decision variables are also employed. Four strategies to determine WG reserve capacity and four combination modes of reserve providers are discussed. The contributions of each strategy to reduce the wind uncertainty are estimated using a statistic method based on Latin Hypercube Sampling (LHS). The simulation results show that the strategies proposed could reduce the reserve capacity allocation of conventional units and suppress the WG fluctuation, while enhancing the overall economic performance.
{"title":"Unit commitment considering reserve provision by wind generation and storage","authors":"Xuehui Jian, Li Zhang","doi":"10.1109/APPEEC.2016.7779460","DOIUrl":"https://doi.org/10.1109/APPEEC.2016.7779460","url":null,"abstract":"To deal with the uncertainty rising with high wind penetration, it is technically and economically important to consider reserve provision by wind generation (WG). Storage could mitigate the WG volatility, so reserve provision by combination of WG and storage could be more competitive in reserve market. This paper presents a new unit commitment (UC) model, in which both WG reserve opportunity cost and storage cost are introduced into the objective, and new WG and storage reserve decision variables are also employed. Four strategies to determine WG reserve capacity and four combination modes of reserve providers are discussed. The contributions of each strategy to reduce the wind uncertainty are estimated using a statistic method based on Latin Hypercube Sampling (LHS). The simulation results show that the strategies proposed could reduce the reserve capacity allocation of conventional units and suppress the WG fluctuation, while enhancing the overall economic performance.","PeriodicalId":117485,"journal":{"name":"2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125077112","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 : 2016-10-01DOI: 10.1109/APPEEC.2016.7779621
K. Hou, D. Xia, Qun Li, Xingwei Xu, Han Yue, Kefei Wang, Lei Chen, Le Zheng
Wind energy integration research generally relies on complex sensors located at remote sites. The procedure for generating high-level synthetic information from databases containing large amounts of low-level data must therefore account for possible sensor failures and imperfect input data. Data-mining methods are widely used for recognizing the relationship between wind farm power output and wind speed, which is important for wind power prediction. Incorrect and unnatural data has great influence on the results. To address this problem, the paper presents an empirical methodology that can efficiently preprocess and filter the raw wind data using a two-stage ensemble of diverse models. First, abnormal features are extracted from raw wind data and the dataset is labeled according to the wind farm operation state records and the characters of typical abnormal data. Next, a two-stage classification model is built by Random Forest (RF) and Gradient Boosting Decision Tree (GBDT). In the first stage, a RF classifier is trained with the labeled dataset as input. In the second stage, a GBDT classifier is trained with the labeled dataset and the RF classification result as input. Finally, the testing set is predicted respectively by the two trained models and the average of forecast values of the RF model and the GBDT model are considered as the final result. The methodology was tested successfully on the data collected from a large wind farm in northeast China.
{"title":"A two-stage ensemble of diverse models for recognition of abnormal data in raw wind data","authors":"K. Hou, D. Xia, Qun Li, Xingwei Xu, Han Yue, Kefei Wang, Lei Chen, Le Zheng","doi":"10.1109/APPEEC.2016.7779621","DOIUrl":"https://doi.org/10.1109/APPEEC.2016.7779621","url":null,"abstract":"Wind energy integration research generally relies on complex sensors located at remote sites. The procedure for generating high-level synthetic information from databases containing large amounts of low-level data must therefore account for possible sensor failures and imperfect input data. Data-mining methods are widely used for recognizing the relationship between wind farm power output and wind speed, which is important for wind power prediction. Incorrect and unnatural data has great influence on the results. To address this problem, the paper presents an empirical methodology that can efficiently preprocess and filter the raw wind data using a two-stage ensemble of diverse models. First, abnormal features are extracted from raw wind data and the dataset is labeled according to the wind farm operation state records and the characters of typical abnormal data. Next, a two-stage classification model is built by Random Forest (RF) and Gradient Boosting Decision Tree (GBDT). In the first stage, a RF classifier is trained with the labeled dataset as input. In the second stage, a GBDT classifier is trained with the labeled dataset and the RF classification result as input. Finally, the testing set is predicted respectively by the two trained models and the average of forecast values of the RF model and the GBDT model are considered as the final result. The methodology was tested successfully on the data collected from a large wind farm in northeast China.","PeriodicalId":117485,"journal":{"name":"2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129901292","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}
Combining energy storage system (ESS) with wind farm is an effective way to increase the penetration rate of wind power. And sizing ESS is an important part in nowadays wind farm planning. In this paper, a method for determining the optimal capacity of ESS integrated with wind power generator to meet the requirements of grid integration is presented. With the proposed method, the necessary capacity of ESS which can get the best benefits between the regulation effects and energy storage size was calculated. Further work on expanding the method to determine the necessary capacity of ESS for real-time control is studied too. The time window method is used to enable the proposed method available under all working condition. The calculation results verify the effectiveness of the proposed method.
{"title":"Method of energy storage system sizing for wind power generation Integration","authors":"Wei Wang, Ruiguang Ma, Hao Xu, Haiyan Wang, Kai Cao, Lipin Chen, Zhichao Ren","doi":"10.1109/APPEEC.2016.7779682","DOIUrl":"https://doi.org/10.1109/APPEEC.2016.7779682","url":null,"abstract":"Combining energy storage system (ESS) with wind farm is an effective way to increase the penetration rate of wind power. And sizing ESS is an important part in nowadays wind farm planning. In this paper, a method for determining the optimal capacity of ESS integrated with wind power generator to meet the requirements of grid integration is presented. With the proposed method, the necessary capacity of ESS which can get the best benefits between the regulation effects and energy storage size was calculated. Further work on expanding the method to determine the necessary capacity of ESS for real-time control is studied too. The time window method is used to enable the proposed method available under all working condition. The calculation results verify the effectiveness of the proposed method.","PeriodicalId":117485,"journal":{"name":"2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129566143","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 : 2016-10-01DOI: 10.1109/APPEEC.2016.7779548
P. Hou, Weihao Hu, Zhe Chen, P. Enevoldsen
In response to electricity markets dominated by wind energy production, and thereby varying electricity prices, this research aims at examining intensives for investments in integrated renewable energy power systems. To do so, strategies have been presented and discussed using optimization methodologies for a power system consisting of wind turbines, electrolysers, and fuel cells. Consequently, intensives for investments in such power systems are introduced by optimizing the return on economic investments of wind farms in markets with great daily variations in electricity prices. The findings presented in this research can help inform researchers, policy makers, and the energy industry in the transition towards implementation of renewable energy systems.
{"title":"Operational optimization of wind energy based hydrogen storage system considering electricity market's influence","authors":"P. Hou, Weihao Hu, Zhe Chen, P. Enevoldsen","doi":"10.1109/APPEEC.2016.7779548","DOIUrl":"https://doi.org/10.1109/APPEEC.2016.7779548","url":null,"abstract":"In response to electricity markets dominated by wind energy production, and thereby varying electricity prices, this research aims at examining intensives for investments in integrated renewable energy power systems. To do so, strategies have been presented and discussed using optimization methodologies for a power system consisting of wind turbines, electrolysers, and fuel cells. Consequently, intensives for investments in such power systems are introduced by optimizing the return on economic investments of wind farms in markets with great daily variations in electricity prices. The findings presented in this research can help inform researchers, policy makers, and the energy industry in the transition towards implementation of renewable energy systems.","PeriodicalId":117485,"journal":{"name":"2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129650297","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 : 2016-10-01DOI: 10.1109/APPEEC.2016.7779854
G. Song, Xiaobo Wang, Zhongxue Chang, Jisi Tang, Peiyao Liu
This paper analyzes the topology and faults characteristics of collecting power lines in PMSG wind farm. In order to solve the problems caused by traditional three paragraph overcurrent protection used in collecting power lines, a novel inverse-time overcurrent protection method is proposed based on fuses' protection features and PMSG's (permanent magnetic synchronous generator) operational characteristics. The novel protection method is analyzed theoretically and verified by simulating. Results show that for collecting power lines, the novel protection combines selectivity and speed better than traditional three paragraph overcurrent protection, thus having practical values.
{"title":"A novel protection method of collecting power lines in PMSG wind farm","authors":"G. Song, Xiaobo Wang, Zhongxue Chang, Jisi Tang, Peiyao Liu","doi":"10.1109/APPEEC.2016.7779854","DOIUrl":"https://doi.org/10.1109/APPEEC.2016.7779854","url":null,"abstract":"This paper analyzes the topology and faults characteristics of collecting power lines in PMSG wind farm. In order to solve the problems caused by traditional three paragraph overcurrent protection used in collecting power lines, a novel inverse-time overcurrent protection method is proposed based on fuses' protection features and PMSG's (permanent magnetic synchronous generator) operational characteristics. The novel protection method is analyzed theoretically and verified by simulating. Results show that for collecting power lines, the novel protection combines selectivity and speed better than traditional three paragraph overcurrent protection, thus having practical values.","PeriodicalId":117485,"journal":{"name":"2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130015040","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 : 2016-10-01DOI: 10.1109/APPEEC.2016.7779940
Li Xi, Yin Minghui, Li Wei, Cui Xiaodan, L. Yazhou, Hu Yang
In this paper, the method of installing fault current limiters (FCLs) near DC converter station is proposed, which is aimed at the commutation failure caused by short circuit fault of the DC inverter side in AC/DC power system. Influence mechanism of FCLs on suppressing commutation failure is analyzed. What's more, effects of FCLs in different locations on commutation failure are compared. In addition, theoretical analysis of transient stability on multiple high voltage direct current (HVDC) commutation failure system with FCLs is discussed using the extended equal area criterion (EEAC) theory. Finally, simulation is carried out based on an actual power grid. Theoretical and simulation results show that, the action of FCLs can not only limit the short-circuit current, but also effectively suppress commutation failure and alleviate the power imbalance and the transferred system flow caused by the concurrent commutation failures, which can significantly decrease the power impact of the regional section and improve the transient stability of the system.
{"title":"Research on the influence of fault current limiters on commutation failure and transient stability in AC/DC power system","authors":"Li Xi, Yin Minghui, Li Wei, Cui Xiaodan, L. Yazhou, Hu Yang","doi":"10.1109/APPEEC.2016.7779940","DOIUrl":"https://doi.org/10.1109/APPEEC.2016.7779940","url":null,"abstract":"In this paper, the method of installing fault current limiters (FCLs) near DC converter station is proposed, which is aimed at the commutation failure caused by short circuit fault of the DC inverter side in AC/DC power system. Influence mechanism of FCLs on suppressing commutation failure is analyzed. What's more, effects of FCLs in different locations on commutation failure are compared. In addition, theoretical analysis of transient stability on multiple high voltage direct current (HVDC) commutation failure system with FCLs is discussed using the extended equal area criterion (EEAC) theory. Finally, simulation is carried out based on an actual power grid. Theoretical and simulation results show that, the action of FCLs can not only limit the short-circuit current, but also effectively suppress commutation failure and alleviate the power imbalance and the transferred system flow caused by the concurrent commutation failures, which can significantly decrease the power impact of the regional section and improve the transient stability of the system.","PeriodicalId":117485,"journal":{"name":"2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128922124","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 : 2016-10-01DOI: 10.1109/APPEEC.2016.7779583
Jhair Stivel Acosta Sarmiento, M. Tavares
This paper presents the methodology and the main results of the optimization process to increase the transmission capacity of overhead lines of 500, 750 and 1000 kV by changing the geometry of the bundles using a new heuristic algorithm. The optimization process is done respecting the insulating distances, the maximum electric field at a height of 1.5 meters from the ground surface, the electric field balance in the conductors, and avoiding the generation of corona effect. Using this methodology it was possible to substantially increase the capacity of transmission lines using bundles with moderate dimensions, and having different geometries from previous authors.
{"title":"Enhancement the overhead transmission lines' capacity by modifying the bundle geometry using heuristics algorithms","authors":"Jhair Stivel Acosta Sarmiento, M. Tavares","doi":"10.1109/APPEEC.2016.7779583","DOIUrl":"https://doi.org/10.1109/APPEEC.2016.7779583","url":null,"abstract":"This paper presents the methodology and the main results of the optimization process to increase the transmission capacity of overhead lines of 500, 750 and 1000 kV by changing the geometry of the bundles using a new heuristic algorithm. The optimization process is done respecting the insulating distances, the maximum electric field at a height of 1.5 meters from the ground surface, the electric field balance in the conductors, and avoiding the generation of corona effect. Using this methodology it was possible to substantially increase the capacity of transmission lines using bundles with moderate dimensions, and having different geometries from previous authors.","PeriodicalId":117485,"journal":{"name":"2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125652323","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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