In the actual power load forecasting, there are often missing data in the original data due to many subjective and objective factors. GOM(1,1) model can't be used to predict based on the equidistant sequence data directly. In this paper, it is supposed that the missing data is the objective existence. Minimizing relative error is taken as the objective function. The problem of GOM(1,1) modeling under the condition of missing data is transformed into the problem of solving parameters and based on nonlinear programming with constraints. Through the example analysis, the forecasting result of this method in this paper is superior to GM (1,1) model and GOM (1,1) model based on traditional interpolation method.
{"title":"Power load forecasting based on GOM(1,1) model under the condition of missing data","authors":"Jiran Zhu, Xu Yuan-can, Hua Leng, Haiguo Tang, Gong Han-yang, Zhang Zhi-dan","doi":"10.1109/APPEEC.2016.7779929","DOIUrl":"https://doi.org/10.1109/APPEEC.2016.7779929","url":null,"abstract":"In the actual power load forecasting, there are often missing data in the original data due to many subjective and objective factors. GOM(1,1) model can't be used to predict based on the equidistant sequence data directly. In this paper, it is supposed that the missing data is the objective existence. Minimizing relative error is taken as the objective function. The problem of GOM(1,1) modeling under the condition of missing data is transformed into the problem of solving parameters and based on nonlinear programming with constraints. Through the example analysis, the forecasting result of this method in this paper is superior to GM (1,1) model and GOM (1,1) model based on traditional interpolation method.","PeriodicalId":117485,"journal":{"name":"2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"18 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":"127690391","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.2016.7779568
Bingjie Liang, Song Jin, Wei Tang, W. Sheng, Ke-yan Liu
Application of smart grid leads to significant increase in scale and data of the power systems, bringing new challenges to the calculation of optimal power flow. However, the existing parallel algorithms, such as MPI-based solutions, suffer from high computational complexity. In this paper, we propose a parallel algorithm of optimal power flow based on Map-Reduce framework. More concretely, the node reordering in our algorithm can greatly accelerate solution speed of the linear equations meanwhile fit well with Map-Reduce programming specifications. Moreover, we determine the appropriate formats for input, intermediate and output data sets and partition the algorithm into separate map/reduce tasks. This facilitates our algorithm to be executed in parallel on a large number of computing nodes. The proposed algorithm is verified on a Hadoop cluster. The experimental results demonstrate that the effectiveness of the propose algorithm.
{"title":"A parallel algorithm of optimal power flow on Hadoop platform","authors":"Bingjie Liang, Song Jin, Wei Tang, W. Sheng, Ke-yan Liu","doi":"10.1109/APPEEC.2016.7779568","DOIUrl":"https://doi.org/10.1109/APPEEC.2016.7779568","url":null,"abstract":"Application of smart grid leads to significant increase in scale and data of the power systems, bringing new challenges to the calculation of optimal power flow. However, the existing parallel algorithms, such as MPI-based solutions, suffer from high computational complexity. In this paper, we propose a parallel algorithm of optimal power flow based on Map-Reduce framework. More concretely, the node reordering in our algorithm can greatly accelerate solution speed of the linear equations meanwhile fit well with Map-Reduce programming specifications. Moreover, we determine the appropriate formats for input, intermediate and output data sets and partition the algorithm into separate map/reduce tasks. This facilitates our algorithm to be executed in parallel on a large number of computing nodes. The proposed algorithm is verified on a Hadoop cluster. The experimental results demonstrate that the effectiveness of the propose algorithm.","PeriodicalId":117485,"journal":{"name":"2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"22 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":"127873748","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.2016.7779734
H. Wen, Runze Yang
Microgrid is an intelligent power system which contains distributed generations, energy storages, local loads, monitoring and protecting units to realize autonomous control, protect and manage functions. It's regarded as the trend for the future power system since it satisfies the rapidly-developing electrical power demand and reduces environmental concerns. Considering different operation modes of Microgrid such as grid-connected and stand-alone, the control strategies need be automatically adjusted with support from Grid, battery or Fuel Cells. In this paper, a Microgrid is built and simulated in PSCAD, including PV, wind power, Fuel Cell, lead acid battery, and micro-turbine. Both component and system level models are verified for different scenarios with appropriate control strategies. Main results are illustrated in order to show the effectiveness of the control strategy for different modes.
{"title":"Modeling and simulation of energy control strategies in AC Microgrid","authors":"H. Wen, Runze Yang","doi":"10.1109/APPEEC.2016.7779734","DOIUrl":"https://doi.org/10.1109/APPEEC.2016.7779734","url":null,"abstract":"Microgrid is an intelligent power system which contains distributed generations, energy storages, local loads, monitoring and protecting units to realize autonomous control, protect and manage functions. It's regarded as the trend for the future power system since it satisfies the rapidly-developing electrical power demand and reduces environmental concerns. Considering different operation modes of Microgrid such as grid-connected and stand-alone, the control strategies need be automatically adjusted with support from Grid, battery or Fuel Cells. In this paper, a Microgrid is built and simulated in PSCAD, including PV, wind power, Fuel Cell, lead acid battery, and micro-turbine. Both component and system level models are verified for different scenarios with appropriate control strategies. Main results are illustrated in order to show the effectiveness of the control strategy for different modes.","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":"126214816","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.2016.7779641
Jianpeng Zhang, W. Du, Haifeng F. Wang, Xu Wang, Lingling Fan
A real Chinese power grid where a vector controlled unified power flow controller (UPFC) has just been installed is researched in this paper. Firstly, the principle of vector control strategy is presented. Then the linearized model of the power grid is established. Based on the model, damping torque analysis (DTA) method is described. By using the DTA method, the best channel to install the damping controller on the vector controlled UPFC has been picked out. Finally, both the modal analysis method and nonlinear simulation have been used to validate this result of channel choice to install the damping controller in the real power grid. Furtherly, this paper presents a comparison of the different damping characteristics of UPFC with phase angle and vector control strategy respectively. Finally, it is found that the damping controller installed on vector controlled UPFC is less effective to provide damping than the phase angle controlled one.
{"title":"Damping torque analysis of a UPFC installed in a real Chinese power grid","authors":"Jianpeng Zhang, W. Du, Haifeng F. Wang, Xu Wang, Lingling Fan","doi":"10.1109/APPEEC.2016.7779641","DOIUrl":"https://doi.org/10.1109/APPEEC.2016.7779641","url":null,"abstract":"A real Chinese power grid where a vector controlled unified power flow controller (UPFC) has just been installed is researched in this paper. Firstly, the principle of vector control strategy is presented. Then the linearized model of the power grid is established. Based on the model, damping torque analysis (DTA) method is described. By using the DTA method, the best channel to install the damping controller on the vector controlled UPFC has been picked out. Finally, both the modal analysis method and nonlinear simulation have been used to validate this result of channel choice to install the damping controller in the real power grid. Furtherly, this paper presents a comparison of the different damping characteristics of UPFC with phase angle and vector control strategy respectively. Finally, it is found that the damping controller installed on vector controlled UPFC is less effective to provide damping than the phase angle controlled one.","PeriodicalId":117485,"journal":{"name":"2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"14 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":"126563248","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.2016.7779759
J. C. Hernández, F. Sánchez-Sutil, P. Bueno
Photovoltaics is replacing an important portion of conventional generation. Therefore, the newest network codes endow utility-scale photovoltaic units (USPVUs) with frequency control functions similar to that of conventional synchronous generation, i.e., frequency sensitive mode (FSM) and inertial response (IR). Moreover, new prequalification rules for energy-constrained units participating in ancillary services market state the sizing of frequency containment reserves (FCR). In this context, the study presents from a previous authors' model an enhanced USPVU model with a V-f control algorithm which coordinates the maximum power point tracking (MPPT) control, the charging and discharging control of an embedded hybrid energy storage system (HESS), and the inverter control. The whole controls working together provide an equivalent V-f control capacity in the USPVU to that of conventional generation. Short-term and midterm simulations based on historic frequency measurements demonstrated the benefits of the added mandatory FSM enhanced with the IR in USPVUs on frequency stability.
{"title":"Large photovoltaic systems providing frequency containment reserves","authors":"J. C. Hernández, F. Sánchez-Sutil, P. Bueno","doi":"10.1109/APPEEC.2016.7779759","DOIUrl":"https://doi.org/10.1109/APPEEC.2016.7779759","url":null,"abstract":"Photovoltaics is replacing an important portion of conventional generation. Therefore, the newest network codes endow utility-scale photovoltaic units (USPVUs) with frequency control functions similar to that of conventional synchronous generation, i.e., frequency sensitive mode (FSM) and inertial response (IR). Moreover, new prequalification rules for energy-constrained units participating in ancillary services market state the sizing of frequency containment reserves (FCR). In this context, the study presents from a previous authors' model an enhanced USPVU model with a V-f control algorithm which coordinates the maximum power point tracking (MPPT) control, the charging and discharging control of an embedded hybrid energy storage system (HESS), and the inverter control. The whole controls working together provide an equivalent V-f control capacity in the USPVU to that of conventional generation. Short-term and midterm simulations based on historic frequency measurements demonstrated the benefits of the added mandatory FSM enhanced with the IR in USPVUs on frequency stability.","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":"128109131","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.2016.7779878
F. Zhan, Z. Du, Fang Zhao, Yao Zhang
Transient voltage stability problem has been a hot topic since power systems in many places suffer voltage collapse after large disturbance. In this paper, a numerical energy function, including detailed High Voltage Direct Current (HVDC) model, three-order generator model and one-order induction model, is proposed. Besides, a heuristic method is studied to identify the controlling unstable equilibrium point (CUEP) of the power system interconnected by HVDC. Combining the proposed energy function and the identified CUEP, the critical time for a power system to maintain transient voltage stability can be obtained. A three-machine nine-bus system interconnected with HVDC is used to demonstrate the effectiveness of the method.
{"title":"Analysis of the transient voltage stability of AC/DC system based on numerical energy function method","authors":"F. Zhan, Z. Du, Fang Zhao, Yao Zhang","doi":"10.1109/APPEEC.2016.7779878","DOIUrl":"https://doi.org/10.1109/APPEEC.2016.7779878","url":null,"abstract":"Transient voltage stability problem has been a hot topic since power systems in many places suffer voltage collapse after large disturbance. In this paper, a numerical energy function, including detailed High Voltage Direct Current (HVDC) model, three-order generator model and one-order induction model, is proposed. Besides, a heuristic method is studied to identify the controlling unstable equilibrium point (CUEP) of the power system interconnected by HVDC. Combining the proposed energy function and the identified CUEP, the critical time for a power system to maintain transient voltage stability can be obtained. A three-machine nine-bus system interconnected with HVDC is used to demonstrate the effectiveness of the method.","PeriodicalId":117485,"journal":{"name":"2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"36 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":"127944541","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.2016.7779827
Xiaowu Qi, Kejun Li, Jingshan Wang, Kaiqi Sun
Increasing accuracy of predicting the transformer top-oil temperature (TOT) and winding hot-spot temperature (HST) is essential to improving the utilization of transformer. This paper presents a combination model to improve TOT prediction accuracy. The main feature of this model is its combination of both model-driven model's and data-driven model's advantages. First, an available thermal circuit is utilized to predict the TOT roughly; second, a data-driven model based on support vector machine (SVM) is established to approximate the thermal circuit prediction error; and finally, the SVM is utilized to correct prediction results of the thermal circuit. The proposed model is tested on a 200-kVA distribution transformer and the obtained results are compared with existing thermal circuit model and data-driven model. The analysis result demonstrates the validity and accuracy of the combination model.
{"title":"Transformer top-oil temperature combination modeling based on thermal circuit and support vector machine","authors":"Xiaowu Qi, Kejun Li, Jingshan Wang, Kaiqi Sun","doi":"10.1109/APPEEC.2016.7779827","DOIUrl":"https://doi.org/10.1109/APPEEC.2016.7779827","url":null,"abstract":"Increasing accuracy of predicting the transformer top-oil temperature (TOT) and winding hot-spot temperature (HST) is essential to improving the utilization of transformer. This paper presents a combination model to improve TOT prediction accuracy. The main feature of this model is its combination of both model-driven model's and data-driven model's advantages. First, an available thermal circuit is utilized to predict the TOT roughly; second, a data-driven model based on support vector machine (SVM) is established to approximate the thermal circuit prediction error; and finally, the SVM is utilized to correct prediction results of the thermal circuit. The proposed model is tested on a 200-kVA distribution transformer and the obtained results are compared with existing thermal circuit model and data-driven model. The analysis result demonstrates the validity and accuracy of the combination model.","PeriodicalId":117485,"journal":{"name":"2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"17 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":"127972968","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.2016.7779540
Yuan-Kang Wu, Po-En Su, Jing-Shan Hong
Over the past one to two decades, probabilistic forecasts have become more popular. Probabilistic forecasts take uncertainty into account and predict a probability distribution function (pdf). This study provides an overview of state-of-the-art technologies on wind-power probabilistic forecasts, and describes the fundamental concepts on those forecasting methods. Additionally, this study also summarizes various methods to evaluate the performance of a probabilistic forecast model. Finally, this study presents a case study using the ensemble prediction model, in which the wind-speed data were provided by the numerical weather prediction system (NWP) of the Central Weather Bureau (CWB) of Taiwan.
{"title":"An overview of wind power probabilistic forecasts","authors":"Yuan-Kang Wu, Po-En Su, Jing-Shan Hong","doi":"10.1109/APPEEC.2016.7779540","DOIUrl":"https://doi.org/10.1109/APPEEC.2016.7779540","url":null,"abstract":"Over the past one to two decades, probabilistic forecasts have become more popular. Probabilistic forecasts take uncertainty into account and predict a probability distribution function (pdf). This study provides an overview of state-of-the-art technologies on wind-power probabilistic forecasts, and describes the fundamental concepts on those forecasting methods. Additionally, this study also summarizes various methods to evaluate the performance of a probabilistic forecast model. Finally, this study presents a case study using the ensemble prediction model, in which the wind-speed data were provided by the numerical weather prediction system (NWP) of the Central Weather Bureau (CWB) of Taiwan.","PeriodicalId":117485,"journal":{"name":"2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"32 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":"134428629","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.2016.7779911
W. Gang, Wu Xingquan, L. Xiaohu, Wang Chengfu
A new dispatch and control method for active power of wind farm clusters based on fusion information is proposed, which minimizes the total power curtailment and total power shortage, on the base of grasping and using the correlation among wind farms, and also maximum output for a single wind farm and total wind power of the cluster fulfilling the requirements of the power system dispatch instruction. Wind power forecast, energy storage regulation, dispatch instruction and the situation of wind turbines among the wind clusters are all blended. And then, to amend the dispatch instruction according to the wind power forecast of different time scale, and optimize the regulation of energy storage and wind turbines by the high precision single point forecast. The simulation result shows that compared with the regulation of a single wind farm, the method proposed in this paper is useful for improving the efficiency and economy for the regulation.
{"title":"Study on optimal dispatch and control of active power for wind farm cluster based on the fusion information","authors":"W. Gang, Wu Xingquan, L. Xiaohu, Wang Chengfu","doi":"10.1109/APPEEC.2016.7779911","DOIUrl":"https://doi.org/10.1109/APPEEC.2016.7779911","url":null,"abstract":"A new dispatch and control method for active power of wind farm clusters based on fusion information is proposed, which minimizes the total power curtailment and total power shortage, on the base of grasping and using the correlation among wind farms, and also maximum output for a single wind farm and total wind power of the cluster fulfilling the requirements of the power system dispatch instruction. Wind power forecast, energy storage regulation, dispatch instruction and the situation of wind turbines among the wind clusters are all blended. And then, to amend the dispatch instruction according to the wind power forecast of different time scale, and optimize the regulation of energy storage and wind turbines by the high precision single point forecast. The simulation result shows that compared with the regulation of a single wind farm, the method proposed in this paper is useful for improving the efficiency and economy for the regulation.","PeriodicalId":117485,"journal":{"name":"2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)","volume":"31 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":"133868356","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.2016.7779684
R. Kawai, S. Obara
In cold regions, because the heat demand is high in winter, greenhouse gas emission is an issue. In this study, we propose a new power generation system using a CO2 hydrate. This system uses the pressure variation properties of the CO2 hydrate under temperature changes. However, since the production speed of the CO2 hydrate is basically slow, efficiency of heat cycle of the system is decreased. Before now, increase in gas absorption of the CO2 hydrate is confirmed by using mixed powder of hematite and graphite (afterward iron oxide catalyst). Increase in gas absorption of the CO2 hydrate contributes to improvement for the efficiency of heat cycle of the CO2 hydrate. The subject of the present research devise improvement of the contact probability of three-phase interface of the CO2 hydrate for further improvement of gas absorption by microstructural carbon cloth support iron oxide catalysts.
{"title":"Study on the generation system by thermal cycle of gas hydrate using a carbon cloth supported catalysts","authors":"R. Kawai, S. Obara","doi":"10.1109/APPEEC.2016.7779684","DOIUrl":"https://doi.org/10.1109/APPEEC.2016.7779684","url":null,"abstract":"In cold regions, because the heat demand is high in winter, greenhouse gas emission is an issue. In this study, we propose a new power generation system using a CO2 hydrate. This system uses the pressure variation properties of the CO2 hydrate under temperature changes. However, since the production speed of the CO2 hydrate is basically slow, efficiency of heat cycle of the system is decreased. Before now, increase in gas absorption of the CO2 hydrate is confirmed by using mixed powder of hematite and graphite (afterward iron oxide catalyst). Increase in gas absorption of the CO2 hydrate contributes to improvement for the efficiency of heat cycle of the CO2 hydrate. The subject of the present research devise improvement of the contact probability of three-phase interface of the CO2 hydrate for further improvement of gas absorption by microstructural carbon cloth support iron oxide catalysts.","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":"127589637","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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