Pub Date : 2007-11-01DOI: 10.1109/ISAP.2007.4441635
O. Gehrke, H. Bindner
A tighter integration of information and communication technologies into power grids and a gradual decentralization of control are widely regarded as key responses to the transformation of power systems, even though many different approaches are investigated to achieve this. Lack of system-level simulation tools and the high risk of tests on a real-world power grid create a need for small, experimental grids on which new control concepts can be safely tested and demonstrated. In order to accommodate a wide range of possible control structures, the controller platform on such grids needs to be as flexible as possible. Software agents promise to be a programming paradigm in support of flexible, distributed applications. This paper describes their application in SYSLAB, an experimental facility for distributed power systems, and discusses experience gained in the implementation process.
{"title":"Building a test platform for agents in power system control: Experience from SYSLAB","authors":"O. Gehrke, H. Bindner","doi":"10.1109/ISAP.2007.4441635","DOIUrl":"https://doi.org/10.1109/ISAP.2007.4441635","url":null,"abstract":"A tighter integration of information and communication technologies into power grids and a gradual decentralization of control are widely regarded as key responses to the transformation of power systems, even though many different approaches are investigated to achieve this. Lack of system-level simulation tools and the high risk of tests on a real-world power grid create a need for small, experimental grids on which new control concepts can be safely tested and demonstrated. In order to accommodate a wide range of possible control structures, the controller platform on such grids needs to be as flexible as possible. Software agents promise to be a programming paradigm in support of flexible, distributed applications. This paper describes their application in SYSLAB, an experimental facility for distributed power systems, and discusses experience gained in the implementation process.","PeriodicalId":320068,"journal":{"name":"2007 International Conference on Intelligent Systems Applications to Power Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115393904","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 : 2007-11-01DOI: 10.1109/ISAP.2007.4441589
H. Keko, Á. J. Duque, Vladimiro Miranda
Evolutionary particle swarm optimization (EPSO) is a robust optimization algorithm belonging to evolutionary methods. EPSO borrows the movement rules from particle swarm optimization (PSO) and uses it as a recombination operator that evolves under selection. This paper presents a reactive power planning approach taking advantage of EPSO robustness, in a model that considers simultaneously multiple contingencies and multiple load levels. Results for selected problems are summarized including a trade-off analysis of results.
{"title":"A Multiple Scenario Security Constrained Reactive Power Planning Tool Using EPSO","authors":"H. Keko, Á. J. Duque, Vladimiro Miranda","doi":"10.1109/ISAP.2007.4441589","DOIUrl":"https://doi.org/10.1109/ISAP.2007.4441589","url":null,"abstract":"Evolutionary particle swarm optimization (EPSO) is a robust optimization algorithm belonging to evolutionary methods. EPSO borrows the movement rules from particle swarm optimization (PSO) and uses it as a recombination operator that evolves under selection. This paper presents a reactive power planning approach taking advantage of EPSO robustness, in a model that considers simultaneously multiple contingencies and multiple load levels. Results for selected problems are summarized including a trade-off analysis of results.","PeriodicalId":320068,"journal":{"name":"2007 International Conference on Intelligent Systems Applications to Power Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115667993","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 : 2007-11-01DOI: 10.1109/ISAP.2007.4441598
N. Nimpitiwan, C. Chaiyabut
This paper proposes a genetic algorithm (GA) based centralized voltage and reactive power control strategy. The proposed strategy aims to prevent voltage fluctuations and/or unconvergence cases by coordinating the operation of voltage/ reactive power control equipments, such as on load tap changer (OLTC) of transformers, automatic voltage regulator (AVR) of distributed generations, and shunt capacitors (SCs). The problem is formulated as a combinatorial nonlinear optimization problem. That is, the setting of OLTC transformers and SCs are discrete control variables; the setting of AVR is a continuous variable. To validate the feasibility of the proposed technique, simulations of various operating conditions are conducted and compared with the decentralized voltage control strategy.
{"title":"Centralized Control of System Voltage/Reactive Power Using Genetic Algorithm","authors":"N. Nimpitiwan, C. Chaiyabut","doi":"10.1109/ISAP.2007.4441598","DOIUrl":"https://doi.org/10.1109/ISAP.2007.4441598","url":null,"abstract":"This paper proposes a genetic algorithm (GA) based centralized voltage and reactive power control strategy. The proposed strategy aims to prevent voltage fluctuations and/or unconvergence cases by coordinating the operation of voltage/ reactive power control equipments, such as on load tap changer (OLTC) of transformers, automatic voltage regulator (AVR) of distributed generations, and shunt capacitors (SCs). The problem is formulated as a combinatorial nonlinear optimization problem. That is, the setting of OLTC transformers and SCs are discrete control variables; the setting of AVR is a continuous variable. To validate the feasibility of the proposed technique, simulations of various operating conditions are conducted and compared with the decentralized voltage control strategy.","PeriodicalId":320068,"journal":{"name":"2007 International Conference on Intelligent Systems Applications to Power Systems","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126156225","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 : 2007-11-01DOI: 10.1109/ISAP.2007.4441634
C. Warmer, M. Hommelberg, B. Roossien, J. Kok, J. Turkstra
In the Netherlands decentralised generation of heat and power by mu-CHP units in households is expected to penetrate the market at high speed in the coming years. Using ICT these mu-CHP units can be integrated into a smart power system or virtual power plant. Other local production and consumption of electricity such as PV, wind, heat pumps and electrical vehicles can be added to this cluster. The main goal of a smart power system is to optimize the value of decentralised power production and consumption in view of the total energy value chain. The PowerMatcher is a multi-agent based control concept (and software package) for coordination of demand and supply in electricity networks with a high share of distributed generation. The concept is demonstrated in several real life field tests. One of these field tests is a virtual power plant consisting of 10 mu-CHP units reducing the local peak demand of the common low-voltage grid segment the mu-CHP units are connected to. In this way the VPP supports the local distribution network operator (DNO) to defer reinforcements in the grid infrastructure (transformers and cables). To realize this VPP, an ICT-communication network containing a hardware and software infrastructure has been added to a test rollout of mu-CHP installations in The Netherlands. Main conclusion from the field test is that a peak reduction of 30 -50% can be achieved, depending on summer or winter season.
{"title":"A field test using agents for coordination of residential micro-chp","authors":"C. Warmer, M. Hommelberg, B. Roossien, J. Kok, J. Turkstra","doi":"10.1109/ISAP.2007.4441634","DOIUrl":"https://doi.org/10.1109/ISAP.2007.4441634","url":null,"abstract":"In the Netherlands decentralised generation of heat and power by mu-CHP units in households is expected to penetrate the market at high speed in the coming years. Using ICT these mu-CHP units can be integrated into a smart power system or virtual power plant. Other local production and consumption of electricity such as PV, wind, heat pumps and electrical vehicles can be added to this cluster. The main goal of a smart power system is to optimize the value of decentralised power production and consumption in view of the total energy value chain. The PowerMatcher is a multi-agent based control concept (and software package) for coordination of demand and supply in electricity networks with a high share of distributed generation. The concept is demonstrated in several real life field tests. One of these field tests is a virtual power plant consisting of 10 mu-CHP units reducing the local peak demand of the common low-voltage grid segment the mu-CHP units are connected to. In this way the VPP supports the local distribution network operator (DNO) to defer reinforcements in the grid infrastructure (transformers and cables). To realize this VPP, an ICT-communication network containing a hardware and software infrastructure has been added to a test rollout of mu-CHP installations in The Netherlands. Main conclusion from the field test is that a peak reduction of 30 -50% can be achieved, depending on summer or winter season.","PeriodicalId":320068,"journal":{"name":"2007 International Conference on Intelligent Systems Applications to Power Systems","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125165925","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 : 2007-11-01DOI: 10.1109/ISAP.2007.4441645
Lingfeng Wang, C. Singh
The adequacy of power generation should be properly evaluated to facilitate the reliable operations of power systems under uncertainties. More recently, wind power has attracted significant attention primarily because it does not consume fossil fuels and is environmentally benign. However, the output from wind turbine generator (WTG) can not be precisely predicted due to the intermittent nature of wind resources. In this paper, a genetic algorithm (GA) based search procedure is adopted to accomplish the adequacy assessment for power generating system including wind turbine generators. The most probable failure states are sought out, which contribute significantly to the adequacy indices including loss of load expectation (LOLE), loss of load frequency (LOLF), and expected energy not supplied (EENS). A modified IEEE Reliability Test System (IEEE-RTS) is used to verify the applicability and effectiveness of the proposed approach.
{"title":"Genetic Algorithm Based Adequacy Evaluation of Hybrid Power Generation System Including Wind Turbine Generators","authors":"Lingfeng Wang, C. Singh","doi":"10.1109/ISAP.2007.4441645","DOIUrl":"https://doi.org/10.1109/ISAP.2007.4441645","url":null,"abstract":"The adequacy of power generation should be properly evaluated to facilitate the reliable operations of power systems under uncertainties. More recently, wind power has attracted significant attention primarily because it does not consume fossil fuels and is environmentally benign. However, the output from wind turbine generator (WTG) can not be precisely predicted due to the intermittent nature of wind resources. In this paper, a genetic algorithm (GA) based search procedure is adopted to accomplish the adequacy assessment for power generating system including wind turbine generators. The most probable failure states are sought out, which contribute significantly to the adequacy indices including loss of load expectation (LOLE), loss of load frequency (LOLF), and expected energy not supplied (EENS). A modified IEEE Reliability Test System (IEEE-RTS) is used to verify the applicability and effectiveness of the proposed approach.","PeriodicalId":320068,"journal":{"name":"2007 International Conference on Intelligent Systems Applications to Power Systems","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127162075","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 : 2007-11-01DOI: 10.1109/ISAP.2007.4441647
V. Chandrakar, A. Kothari
The main aim of the paper is to analyze the performance of multilayer feed forward network ( MFFN) based SSSC on power handling capacity of the line, improvement in transient stability and damping of oscillations of the single machine infinite bus system (SMIB). This paper presents the comparative performance studies of two different controllers namely: [i] conventional PI controller, and [ii] multilayer feed forward network (MFFN) . Controllers are designed to coordinate two control inputs: in-phase voltage and the qudrature voltage of SSSC. The coordinated action of proposed SSSC controllers with power oscillations damping (POD) control & power system stabilizer (PSS) are tested for dynamic performance of the system under various system conditions. The simulation results shows that the proposed controllers increases the power handling capacity of the line, significant improvement in transient stability of the system, and damping of oscillations. The results indicates that the coordinated POD & PSS action further improves the dynamic performance of the system. The proposed SSSC controllers are tested in multi-machine system. The MFFN based SSSC controller provides superior dynamic performance than PI controller.
{"title":"MFFN based Static Synchronous Series Compensator (SSSC) for Transient Stability improvement","authors":"V. Chandrakar, A. Kothari","doi":"10.1109/ISAP.2007.4441647","DOIUrl":"https://doi.org/10.1109/ISAP.2007.4441647","url":null,"abstract":"The main aim of the paper is to analyze the performance of multilayer feed forward network ( MFFN) based SSSC on power handling capacity of the line, improvement in transient stability and damping of oscillations of the single machine infinite bus system (SMIB). This paper presents the comparative performance studies of two different controllers namely: [i] conventional PI controller, and [ii] multilayer feed forward network (MFFN) . Controllers are designed to coordinate two control inputs: in-phase voltage and the qudrature voltage of SSSC. The coordinated action of proposed SSSC controllers with power oscillations damping (POD) control & power system stabilizer (PSS) are tested for dynamic performance of the system under various system conditions. The simulation results shows that the proposed controllers increases the power handling capacity of the line, significant improvement in transient stability of the system, and damping of oscillations. The results indicates that the coordinated POD & PSS action further improves the dynamic performance of the system. The proposed SSSC controllers are tested in multi-machine system. The MFFN based SSSC controller provides superior dynamic performance than PI controller.","PeriodicalId":320068,"journal":{"name":"2007 International Conference on Intelligent Systems Applications to Power Systems","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114236161","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 : 2007-11-01DOI: 10.1109/ISAP.2007.4441638
G. Gutiérrez-Alcaraz, G. Sheblé
A financial transmission right (FTR) give the holder the right to collect the congestion rent between two nodes, i.e. the difference in price between the two nodes multiplied by the number of contracts held. These contracts are intended to provide a hedging mechanism for market participants, thus reducing risk and inspiring more confidence in today's deregulated wholesale electricity markets. This paper presents a scenario to demonstrate how FTRs can confer market power on an otherwise powerless market player and then shows how adaptive agents can learn to block FTR's market power in a simulated power market.
{"title":"Blocking Strategies against Financial Transmission Right's Market Power","authors":"G. Gutiérrez-Alcaraz, G. Sheblé","doi":"10.1109/ISAP.2007.4441638","DOIUrl":"https://doi.org/10.1109/ISAP.2007.4441638","url":null,"abstract":"A financial transmission right (FTR) give the holder the right to collect the congestion rent between two nodes, i.e. the difference in price between the two nodes multiplied by the number of contracts held. These contracts are intended to provide a hedging mechanism for market participants, thus reducing risk and inspiring more confidence in today's deregulated wholesale electricity markets. This paper presents a scenario to demonstrate how FTRs can confer market power on an otherwise powerless market player and then shows how adaptive agents can learn to block FTR's market power in a simulated power market.","PeriodicalId":320068,"journal":{"name":"2007 International Conference on Intelligent Systems Applications to Power Systems","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124567839","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 : 2007-11-01DOI: 10.1109/ISAP.2007.4441668
Chien-Hung Huang, Chien-Hsing Lee, Kuang-Rong Shih, Yaw-Juen Wang
This paper presents an extended complex Kalman filter artificial neural network for bad-data detection in a power system. The proposed method not only can improve one-by-one detection using the traditional approach as well as enhance its performances. It uses complex-type state variables as the link weighting to largely reduce nodes number and converging speed. In other words, it not only can largely reduce the number of neurons, but also can search out the suitable and available trained variables which do not heuristically need to adjust the link weighting in the learning stage by itself. A 6-bus and IEEE standard of 30-bus power systems are used to verify the feasibility of the proposed method. The results show the convergent behavior of bad-data detection using the proposed method is better than the conventional method.
{"title":"Extended Complex Kalman Filter Artificial Neural Network for Bad-Data Detection in Power System State Estimation","authors":"Chien-Hung Huang, Chien-Hsing Lee, Kuang-Rong Shih, Yaw-Juen Wang","doi":"10.1109/ISAP.2007.4441668","DOIUrl":"https://doi.org/10.1109/ISAP.2007.4441668","url":null,"abstract":"This paper presents an extended complex Kalman filter artificial neural network for bad-data detection in a power system. The proposed method not only can improve one-by-one detection using the traditional approach as well as enhance its performances. It uses complex-type state variables as the link weighting to largely reduce nodes number and converging speed. In other words, it not only can largely reduce the number of neurons, but also can search out the suitable and available trained variables which do not heuristically need to adjust the link weighting in the learning stage by itself. A 6-bus and IEEE standard of 30-bus power systems are used to verify the feasibility of the proposed method. The results show the convergent behavior of bad-data detection using the proposed method is better than the conventional method.","PeriodicalId":320068,"journal":{"name":"2007 International Conference on Intelligent Systems Applications to Power Systems","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134559874","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 : 2007-11-01DOI: 10.1109/ISAP.2007.4441642
Tsung-Ying Lee, Chun-Lung Chen
This paper investigates the effects of photovoltaic generation system (PVGS) on the selection of contract capacities for time-of-use (TOU) rate industrial users. A benefit cost ratio (BCR) was served to evaluate the economic benefits of PVGS in TOU rate industrial users. Evolutionary programming (EP) is applied to solve the optimal installation capacity of PVGS and the optimal contract capacities for TOU rate industrial users. The impacts of PVGS installation capacity on the selection of contract capacities for TOU rate industrial users were evaluated. To apply the EP to solve the previous problem, an individual which was composed of PVGS installation capacity and TOU rate user contract capacities, was defined. A fitness function evaluates the economic benefits of PVGS was applied to calculate the fitness of individual. After that EP starts to calculate the optimal PVGS installation capacity and TOU rate user contract capacities. Through the cooperation of agents called individuals, the near optimal solution of the previous problem can be effectively reached. Finally, a numerical example was served to demonstrate the feasibility of the new approach, and EP solution quality and computation efficiency were compared to those of other algorithms.
{"title":"Effects of Photovoltaic Generation System on the Contract Capacity Selection of Time-Of-Use Rate Industrial Users","authors":"Tsung-Ying Lee, Chun-Lung Chen","doi":"10.1109/ISAP.2007.4441642","DOIUrl":"https://doi.org/10.1109/ISAP.2007.4441642","url":null,"abstract":"This paper investigates the effects of photovoltaic generation system (PVGS) on the selection of contract capacities for time-of-use (TOU) rate industrial users. A benefit cost ratio (BCR) was served to evaluate the economic benefits of PVGS in TOU rate industrial users. Evolutionary programming (EP) is applied to solve the optimal installation capacity of PVGS and the optimal contract capacities for TOU rate industrial users. The impacts of PVGS installation capacity on the selection of contract capacities for TOU rate industrial users were evaluated. To apply the EP to solve the previous problem, an individual which was composed of PVGS installation capacity and TOU rate user contract capacities, was defined. A fitness function evaluates the economic benefits of PVGS was applied to calculate the fitness of individual. After that EP starts to calculate the optimal PVGS installation capacity and TOU rate user contract capacities. Through the cooperation of agents called individuals, the near optimal solution of the previous problem can be effectively reached. Finally, a numerical example was served to demonstrate the feasibility of the new approach, and EP solution quality and computation efficiency were compared to those of other algorithms.","PeriodicalId":320068,"journal":{"name":"2007 International Conference on Intelligent Systems Applications to Power Systems","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134216136","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 : 2007-11-01DOI: 10.1109/ISAP.2007.4441619
Ya-Wen Tang, C. Tai, Ching-Chau Su
Over the course of the past 20 years, the number of signal processing methods used to analyze the partial discharge (PD) of electrical equipments has greatly increased. In this paper, we analyze and compare the PD signals from acoustic emission (AE) and high-frequency current transformer (HFCT) measurements with Hilbert-Huang Transforms: (HHT). The HHT demonstrates several excellent advantages in the PD signal analysis application.
{"title":"Data Analysis Using Hilbert-Huang Transform for Partial Discharge in Low Voltage Motors","authors":"Ya-Wen Tang, C. Tai, Ching-Chau Su","doi":"10.1109/ISAP.2007.4441619","DOIUrl":"https://doi.org/10.1109/ISAP.2007.4441619","url":null,"abstract":"Over the course of the past 20 years, the number of signal processing methods used to analyze the partial discharge (PD) of electrical equipments has greatly increased. In this paper, we analyze and compare the PD signals from acoustic emission (AE) and high-frequency current transformer (HFCT) measurements with Hilbert-Huang Transforms: (HHT). The HHT demonstrates several excellent advantages in the PD signal analysis application.","PeriodicalId":320068,"journal":{"name":"2007 International Conference on Intelligent Systems Applications to Power Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130095459","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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