Pub Date : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960395
A. Kashtanov, E. Glende, M. Wolter
The modern concept of a distribution network implies an expansion of the possibilities of using various digital devices to solve the assigned tasks. One of these tasks is to reduce the outage time during which consumers remain without power as a result of a network fault. To solve this problem, the use of the fault location, isolation and service restoration (FLISR) system is becoming more and more popular. This system consists of many algorithms, but the service restoration is the most important one. In order to restore power to the largest number of consumers while preserving the radial structure of the network, graph theory can be used as a tool to find the most optimal network topology. The purpose of this article is to consider the basics of FLISR, as well as the potential use of graph theory as a tool for modifying the service restoration algorithm.
{"title":"Application of graph theory as a tool for reconfiguration of the distribution network","authors":"A. Kashtanov, E. Glende, M. Wolter","doi":"10.1109/ISGT-Europe54678.2022.9960395","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960395","url":null,"abstract":"The modern concept of a distribution network implies an expansion of the possibilities of using various digital devices to solve the assigned tasks. One of these tasks is to reduce the outage time during which consumers remain without power as a result of a network fault. To solve this problem, the use of the fault location, isolation and service restoration (FLISR) system is becoming more and more popular. This system consists of many algorithms, but the service restoration is the most important one. In order to restore power to the largest number of consumers while preserving the radial structure of the network, graph theory can be used as a tool to find the most optimal network topology. The purpose of this article is to consider the basics of FLISR, as well as the potential use of graph theory as a tool for modifying the service restoration algorithm.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117028849","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960526
Hassan Alhomsi, F. Linke, D. Westermann
This work ties in with the idea of black start using a meshed MT-HVDC system. In this process, the blacked-out system is resupplied from a healthy control area via the MTHVDC system. A new methodology for prioritizing converters for control power provision in areas with control power providing power plants to relieve the overloading AC lines is presented. A non-communication method via DC voltage control in the meshed HVDC system is demonstrated.
{"title":"AC System Restoration Using Embedded MT-HVDC","authors":"Hassan Alhomsi, F. Linke, D. Westermann","doi":"10.1109/ISGT-Europe54678.2022.9960526","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960526","url":null,"abstract":"This work ties in with the idea of black start using a meshed MT-HVDC system. In this process, the blacked-out system is resupplied from a healthy control area via the MTHVDC system. A new methodology for prioritizing converters for control power provision in areas with control power providing power plants to relieve the overloading AC lines is presented. A non-communication method via DC voltage control in the meshed HVDC system is demonstrated.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115722329","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960572
Aditya Pappu, Gerwin Hoogsteen, J. Hurink
This paper presents a method to implement cooperative Demand Side Management (DSM) approaches over a distributed communication network. Our method combines a decentralized DSM approach called Profile Steering with two distributed consensus mechanisms Proof of Work (PoW) and Proof of Stake (PoS). We make use of a network manager to moderate the network and a distributed ledger system to store the power profiles from each planning period.We evaluate our approach using publicly-available real data from 25 houses. We successfully implemented our distributed approach in Python using JSON files as blocks and performed time-performance evaluations of this implementation. We show that, distributed DSM for day-ahead planning using blockchain concepts is possible and adds an overhead of only 0.98 seconds and 3.99 seconds in the case of PoW and PoS respectively.
{"title":"Distributed Co-operative Demand Side Management for Energy Communities","authors":"Aditya Pappu, Gerwin Hoogsteen, J. Hurink","doi":"10.1109/ISGT-Europe54678.2022.9960572","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960572","url":null,"abstract":"This paper presents a method to implement cooperative Demand Side Management (DSM) approaches over a distributed communication network. Our method combines a decentralized DSM approach called Profile Steering with two distributed consensus mechanisms Proof of Work (PoW) and Proof of Stake (PoS). We make use of a network manager to moderate the network and a distributed ledger system to store the power profiles from each planning period.We evaluate our approach using publicly-available real data from 25 houses. We successfully implemented our distributed approach in Python using JSON files as blocks and performed time-performance evaluations of this implementation. We show that, distributed DSM for day-ahead planning using blockchain concepts is possible and adds an overhead of only 0.98 seconds and 3.99 seconds in the case of PoW and PoS respectively.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115586954","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960469
Omid Khoubseresht, M. Rajabinezhad, B. Ahmadi, E. Shirazi
The benefits of renewable energy sources (RES) are undeniable, despite the fact that controlling their output power is complicated due to their intermittent nature. In this paper, a new set of analytical formulations has been proposed for simultaneous integration and control of wind turbine (WT) and battery energy storage system (BESS) considering the time-varying load models, and resources uncertainty. The objective functions of this method include smoothing the output power of the WT unit, balancing demand and generation, increasing WT shares as well as decreasing the automatic generation control (AGC) reserve capacity which is essential in the gird. In addition, the modification of BESS reference current is considered to prolong the BESS effective lifetime and guarantee the prevention of BESS from over-charge and discharge. The results show that simultaneous integration of WT and BESS in the grid will smooth WT output power, balance load and WT generation, thereby reducing AGC required capacity and increasing the hosting capacity of grids effectively.
{"title":"Modelling and Control of Wind Turbine and Battery Energy Storage System for Grid Integration","authors":"Omid Khoubseresht, M. Rajabinezhad, B. Ahmadi, E. Shirazi","doi":"10.1109/ISGT-Europe54678.2022.9960469","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960469","url":null,"abstract":"The benefits of renewable energy sources (RES) are undeniable, despite the fact that controlling their output power is complicated due to their intermittent nature. In this paper, a new set of analytical formulations has been proposed for simultaneous integration and control of wind turbine (WT) and battery energy storage system (BESS) considering the time-varying load models, and resources uncertainty. The objective functions of this method include smoothing the output power of the WT unit, balancing demand and generation, increasing WT shares as well as decreasing the automatic generation control (AGC) reserve capacity which is essential in the gird. In addition, the modification of BESS reference current is considered to prolong the BESS effective lifetime and guarantee the prevention of BESS from over-charge and discharge. The results show that simultaneous integration of WT and BESS in the grid will smooth WT output power, balance load and WT generation, thereby reducing AGC required capacity and increasing the hosting capacity of grids effectively.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124520165","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960585
Kari Walstad, V. V. Vadlamudi
In this paper, a framework was developed for the segmentation of the customer base of Norwegian Distribution System Operators (DSO), based on Advanced Metering System (AMS) time series data of the electricity consumption of DSO customers. A computer programme for customer segmentation was synthesised in the programming language Python, using shape-based clustering, and a Cluster Validation Index (CVI) algorithm. Additionally, an option to perform a simple outlier analysis based on user input of the AMS input data was included. The assessment of the developed customer segmentation programme and the underlying methodology was first done through tests on a known data set to verify the results. Following this, an assessment was made on the basis of two actual AMS-data sets provided by the Norwegian DSO Lnett AS. AMS-data was more challenging for the algorithm to cluster than the known data set, possibly because the AMS-data set was more homogeneous with more similarly shaped and less discernible time series groups. Outlier analysis was shown to improve the programme performance by removing irregular (i.e. flat) time series. Based on the second AMS-data set, a comparison with the current standard method of customer segmentation utilised by Norwegian DSOs was performed. The developed customer segmentation method, when measured with a CVI, was shown to produce a better partition compactness and distinctness of the AMS-data set than with the standard DSO method.
{"title":"Electric Utility Customer Segmentation from Advanced Metering System Data Using K-Shape Clustering — A Norwegian Case Study","authors":"Kari Walstad, V. V. Vadlamudi","doi":"10.1109/ISGT-Europe54678.2022.9960585","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960585","url":null,"abstract":"In this paper, a framework was developed for the segmentation of the customer base of Norwegian Distribution System Operators (DSO), based on Advanced Metering System (AMS) time series data of the electricity consumption of DSO customers. A computer programme for customer segmentation was synthesised in the programming language Python, using shape-based clustering, and a Cluster Validation Index (CVI) algorithm. Additionally, an option to perform a simple outlier analysis based on user input of the AMS input data was included. The assessment of the developed customer segmentation programme and the underlying methodology was first done through tests on a known data set to verify the results. Following this, an assessment was made on the basis of two actual AMS-data sets provided by the Norwegian DSO Lnett AS. AMS-data was more challenging for the algorithm to cluster than the known data set, possibly because the AMS-data set was more homogeneous with more similarly shaped and less discernible time series groups. Outlier analysis was shown to improve the programme performance by removing irregular (i.e. flat) time series. Based on the second AMS-data set, a comparison with the current standard method of customer segmentation utilised by Norwegian DSOs was performed. The developed customer segmentation method, when measured with a CVI, was shown to produce a better partition compactness and distinctness of the AMS-data set than with the standard DSO method.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129877362","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960359
A. Moreira, M. Camboim, R. F. Beck, M. D. F. Rosolem, V. Arioli, J. Moura, Camila Omae, Hongwu Ding
The increasing presence of electric vehicles (EVs) and hybrids (VEHs) characterizes the current urban mobility scenario. The key component of these vehicles - the battery - operates for about a decade in this application. After this period, they are usually removed from the EVs, as they no longer supply the energy demand required for this application. When this happens, the batteries still have about 80% of their rated capacity available, allowing them to be reused in several other applications (second-life). This work proposes the development of a method for the evaluation and selection of cells for different second-life applications based on tests and analyses carried out on batteries previously used in electric vehicles. The main contributions of this work are: (a) the study of fast, efficient, and well-established measurements in the literature, such as internal resistance (DC) and Electrochemical Impedance Spectroscopy (EIS) as parameters to estimate the degradation state of second-life LiBs; (b) design and analysis of an extensive database containing information on EIS, RI and capacity for 395 Lithium-Iron-Phosphate (LFP) cells; (c) study of the possibility of implementing Machine Learning techniques to correlate the ohmic measurement data with the real capacity of the cells. The experimental results demonstrated that EIS measurements present a strong correlation with the residual capacity of second-life cells, and can be applied as a rapid way of identifying the degradation state of these cells.
{"title":"A Fast and Automatic Methodology for Selecting Lithium-ion Cells for Second-Life Batteries","authors":"A. Moreira, M. Camboim, R. F. Beck, M. D. F. Rosolem, V. Arioli, J. Moura, Camila Omae, Hongwu Ding","doi":"10.1109/ISGT-Europe54678.2022.9960359","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960359","url":null,"abstract":"The increasing presence of electric vehicles (EVs) and hybrids (VEHs) characterizes the current urban mobility scenario. The key component of these vehicles - the battery - operates for about a decade in this application. After this period, they are usually removed from the EVs, as they no longer supply the energy demand required for this application. When this happens, the batteries still have about 80% of their rated capacity available, allowing them to be reused in several other applications (second-life). This work proposes the development of a method for the evaluation and selection of cells for different second-life applications based on tests and analyses carried out on batteries previously used in electric vehicles. The main contributions of this work are: (a) the study of fast, efficient, and well-established measurements in the literature, such as internal resistance (DC) and Electrochemical Impedance Spectroscopy (EIS) as parameters to estimate the degradation state of second-life LiBs; (b) design and analysis of an extensive database containing information on EIS, RI and capacity for 395 Lithium-Iron-Phosphate (LFP) cells; (c) study of the possibility of implementing Machine Learning techniques to correlate the ohmic measurement data with the real capacity of the cells. The experimental results demonstrated that EIS measurements present a strong correlation with the residual capacity of second-life cells, and can be applied as a rapid way of identifying the degradation state of these cells.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125403875","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960413
Marko Z. Obrenić, D. Radojčić, Predrag M. Vidović
Uncertainties in power distribution systems are a major challenge today. With the high penetration of distributed energy resources, great uncertainties have arisen, and thus difficulties in decision-making in such systems have occurred. In this paper, the uncertainties of production and consumption and their impact on the coordination of relay protection are presented. A new calculation of the coordination of overcurrent protection is presented, considering the uncertainties of production and consumption modeled by interval arithmetic. In the optimization model of relay protection coordination, the approach for uncertainty modeling using intervals is applied. The results of the proposed calculation are confirmed by test examples. In addition to the proposed analytical approach, the paper also presents an approach with Monte Carlo simulations. The paper demonstrates that it is necessary to consider the uncertainties of production and consumption in the calculation of overcurrent protection coordination in order to preserve the selectivity of protection.
{"title":"Overcurrent relay coordination in the presence of the uncertainties of production and consumption","authors":"Marko Z. Obrenić, D. Radojčić, Predrag M. Vidović","doi":"10.1109/ISGT-Europe54678.2022.9960413","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960413","url":null,"abstract":"Uncertainties in power distribution systems are a major challenge today. With the high penetration of distributed energy resources, great uncertainties have arisen, and thus difficulties in decision-making in such systems have occurred. In this paper, the uncertainties of production and consumption and their impact on the coordination of relay protection are presented. A new calculation of the coordination of overcurrent protection is presented, considering the uncertainties of production and consumption modeled by interval arithmetic. In the optimization model of relay protection coordination, the approach for uncertainty modeling using intervals is applied. The results of the proposed calculation are confirmed by test examples. In addition to the proposed analytical approach, the paper also presents an approach with Monte Carlo simulations. The paper demonstrates that it is necessary to consider the uncertainties of production and consumption in the calculation of overcurrent protection coordination in order to preserve the selectivity of protection.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125591990","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960529
G. Bastianel, H. Ergun, D. Hertem
The optimal power flow problem can be used to determine the generation dispatch in electrical grids taking into account circuit physics and technical constraints. This paper uses an old-fashioned mathematical decomposition technique, the Dantzig-Wolfe decomposition, to solve such problems and compares the results to state-of-the-art commercial solvers.The linearised ’DC’ OPF model is reformulated to create a block angular structure of the problem and is optimized through a column generation algorithm based on the simplex method. Columns of variables are generated for each iteration of the optimization process, providing a solution where selected vertices from the feasible sets are assigned a weight and combined to get the optimal value.The results of three test cases consist of an useful starting point for further works with larger test systems and MILP problems such as the transmission network expansion planning problems.
{"title":"Linearised Optimal Power Flow Problem Solution using Dantzig - Wolfe decomposition","authors":"G. Bastianel, H. Ergun, D. Hertem","doi":"10.1109/ISGT-Europe54678.2022.9960529","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960529","url":null,"abstract":"The optimal power flow problem can be used to determine the generation dispatch in electrical grids taking into account circuit physics and technical constraints. This paper uses an old-fashioned mathematical decomposition technique, the Dantzig-Wolfe decomposition, to solve such problems and compares the results to state-of-the-art commercial solvers.The linearised ’DC’ OPF model is reformulated to create a block angular structure of the problem and is optimized through a column generation algorithm based on the simplex method. Columns of variables are generated for each iteration of the optimization process, providing a solution where selected vertices from the feasible sets are assigned a weight and combined to get the optimal value.The results of three test cases consist of an useful starting point for further works with larger test systems and MILP problems such as the transmission network expansion planning problems.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121542892","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 : 2022-10-10DOI: 10.1109/ISGT-Europe54678.2022.9960553
C. Fournely, A. Gubina, E. Lakić, Bojan Stojanović
The growing fleet of electric vehicles (EVs) in the low-voltage (LV) networks is an essential concern for the Distribution System Operator as it represents a significant increase in consumption thus potentially leading to costly grid expansions to prevent congestion. However, grid expansion can be postponed or even avoided if ‘smart’ solutions like load shifting are put in place. In this paper, we propose a methodology which simulates the EV daily trip- and charging profile with the consequent power flows in the electrical network. The smart-charging algorithm enables shifting the EV charging load in case of detected congestion. The algorithm is tested in an LV grid of a mountainous region in Slovenia. The algorithm is run for a typical week, with a 15-min resolution, with a Monte Carlo simulation performed to study the worst-case scenario. Finally, we analyse the results on the robustness of the grid and the benefits of the studied smart-charging algorithm.
{"title":"Simulation of electric vehicles daily charging in a low-voltage network to reduce grid reinforcement needs","authors":"C. Fournely, A. Gubina, E. Lakić, Bojan Stojanović","doi":"10.1109/ISGT-Europe54678.2022.9960553","DOIUrl":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960553","url":null,"abstract":"The growing fleet of electric vehicles (EVs) in the low-voltage (LV) networks is an essential concern for the Distribution System Operator as it represents a significant increase in consumption thus potentially leading to costly grid expansions to prevent congestion. However, grid expansion can be postponed or even avoided if ‘smart’ solutions like load shifting are put in place. In this paper, we propose a methodology which simulates the EV daily trip- and charging profile with the consequent power flows in the electrical network. The smart-charging algorithm enables shifting the EV charging load in case of detected congestion. The algorithm is tested in an LV grid of a mountainous region in Slovenia. The algorithm is run for a typical week, with a 15-min resolution, with a Monte Carlo simulation performed to study the worst-case scenario. Finally, we analyse the results on the robustness of the grid and the benefits of the studied smart-charging algorithm.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122428534","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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