Pub Date : 2012-12-14DOI: 10.1109/ISGTEurope.2012.6465667
A. Michiorri, R. Girard, G. Kariniotakis, C. Lebosse, S. Albou
This paper describes Nice Grid, a demonstration project part of the European initiative Grid4EU. The project aims at developing a smart solar neighbourhood in the urban area of the city of Nice, France. The four year project started in November 2011 and will test the suitability of recent developments in distribution networks management for facilitating the connection of distributed renewable generators, improving the security of supply and let customers and other actors to provide network services. The idea behind Nice Grid is to combine controllable distributed electricity and thermal storage devices with forecasts of solar power production and load in a local energy management system. The paper, which represents a useful reference for the project, presents also a detailed overview of relevant European demonstration projects on Smart Grid.
{"title":"A local energy management system for solar integration and improved security of supply: The Nice Grid project","authors":"A. Michiorri, R. Girard, G. Kariniotakis, C. Lebosse, S. Albou","doi":"10.1109/ISGTEurope.2012.6465667","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2012.6465667","url":null,"abstract":"This paper describes Nice Grid, a demonstration project part of the European initiative Grid4EU. The project aims at developing a smart solar neighbourhood in the urban area of the city of Nice, France. The four year project started in November 2011 and will test the suitability of recent developments in distribution networks management for facilitating the connection of distributed renewable generators, improving the security of supply and let customers and other actors to provide network services. The idea behind Nice Grid is to combine controllable distributed electricity and thermal storage devices with forecasts of solar power production and load in a local energy management system. The paper, which represents a useful reference for the project, presents also a detailed overview of relevant European demonstration projects on Smart Grid.","PeriodicalId":244881,"journal":{"name":"2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114414676","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 : 2012-12-01DOI: 10.1109/ISGTEurope.2012.6465827
Naoyuki Takahashi, Y. Hayashi
The authors propose voltage control method using centralized control of D-STATCOM with controllable dead band to control all the node voltages dynamically. To maximize the acceptable amount of RES, centralized control system meters each node voltage installed D-STATCOM, and control all the node voltages based on each node voltage. The target voltage of D-STATCOM near a substation is modified by another node voltage to regulate all the node voltages within proper range. The amount of correction for the target voltage is determined by the amount of deviation from a threshold which is set between upper limits of the dead band and proper range. Conventional method has potential to command inappropriate reactive power due to delay time based on communication time and calculation for commands of reactive power. Proposed method compensates for the lack of reactive power based on the delay time using the predictive control.
{"title":"Centralized voltage control method using plural D-STATCOM with controllable dead band in distribution system with renewable energy","authors":"Naoyuki Takahashi, Y. Hayashi","doi":"10.1109/ISGTEurope.2012.6465827","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2012.6465827","url":null,"abstract":"The authors propose voltage control method using centralized control of D-STATCOM with controllable dead band to control all the node voltages dynamically. To maximize the acceptable amount of RES, centralized control system meters each node voltage installed D-STATCOM, and control all the node voltages based on each node voltage. The target voltage of D-STATCOM near a substation is modified by another node voltage to regulate all the node voltages within proper range. The amount of correction for the target voltage is determined by the amount of deviation from a threshold which is set between upper limits of the dead band and proper range. Conventional method has potential to command inappropriate reactive power due to delay time based on communication time and calculation for commands of reactive power. Proposed method compensates for the lack of reactive power based on the delay time using the predictive control.","PeriodicalId":244881,"journal":{"name":"2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122015158","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 : 2012-12-01DOI: 10.1109/ISGTEurope.2012.6465885
A. Yokoyama, H. Akagi, Y. Hayashi, K. Ogimoto, H. Ishii
This paper describes one of Japanese smart grid related activities, “Demonstration Projects for Next Generation Optimum Control of Power Transmission and Distribution Network” which deals with issues associated with mass penetration of photovoltaic power generation systems. Research subjects covered by this project and some results obtained so far are presented.
{"title":"A national project on Optimal Control and demonstration of the Japanese smart grid for massive integration of photovoltaic systems","authors":"A. Yokoyama, H. Akagi, Y. Hayashi, K. Ogimoto, H. Ishii","doi":"10.1109/ISGTEurope.2012.6465885","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2012.6465885","url":null,"abstract":"This paper describes one of Japanese smart grid related activities, “Demonstration Projects for Next Generation Optimum Control of Power Transmission and Distribution Network” which deals with issues associated with mass penetration of photovoltaic power generation systems. Research subjects covered by this project and some results obtained so far are presented.","PeriodicalId":244881,"journal":{"name":"2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126255851","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 : 2012-10-16DOI: 10.1109/ISGTEurope.2012.6465748
Hermen A. Toersche, S. Nykamp, A. Molderink, J. Hurink, G. Smit
Methods are discussed for planning oriented smart grid control to cope with scenarios with limited predictability, supporting an increasing penetration of stochastic renewable resources. The performance of these methods is evaluated with simulations using measured wind generation and consumption data. Forecast errors are shown to affect worst case behavior in particular, the severity of which depends on the chosen adaptivity strategy and error model.
{"title":"Controlling smart grid adaptivity","authors":"Hermen A. Toersche, S. Nykamp, A. Molderink, J. Hurink, G. Smit","doi":"10.1109/ISGTEurope.2012.6465748","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2012.6465748","url":null,"abstract":"Methods are discussed for planning oriented smart grid control to cope with scenarios with limited predictability, supporting an increasing penetration of stochastic renewable resources. The performance of these methods is evaluated with simulations using measured wind generation and consumption data. Forecast errors are shown to affect worst case behavior in particular, the severity of which depends on the chosen adaptivity strategy and error model.","PeriodicalId":244881,"journal":{"name":"2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132001616","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 : 2012-10-14DOI: 10.1109/ISGTEurope.2012.6465798
P. Janssen, T. Sezi, J. Maun
Accurate monitoring of the distribution system is performed using state estimation methods. The purpose of these methods is to estimate the most likely state of the grid given various types of redundant measurements. In this paper, we propose a three phase state estimation method that can handle accurately unsynchronized three phase phasor measurements. Unsynchronized phasor measurements, as opposed to synchrophasor measurements, consist in phasor measurements that do not have accurate time stamps. The use of such measurements could be very valuable in unbalanced distribution networks. To handle these measurements, we add unknown synchronizing operators to the state variables. The identification of these additional state variables allows considering any configuration of unsynchronized phasor measurement in a simple and intuitive way. The proposed method is illustrated on a simulated distribution network.
{"title":"Distribution system state estimation using unsynchronized phasor measurements","authors":"P. Janssen, T. Sezi, J. Maun","doi":"10.1109/ISGTEurope.2012.6465798","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2012.6465798","url":null,"abstract":"Accurate monitoring of the distribution system is performed using state estimation methods. The purpose of these methods is to estimate the most likely state of the grid given various types of redundant measurements. In this paper, we propose a three phase state estimation method that can handle accurately unsynchronized three phase phasor measurements. Unsynchronized phasor measurements, as opposed to synchrophasor measurements, consist in phasor measurements that do not have accurate time stamps. The use of such measurements could be very valuable in unbalanced distribution networks. To handle these measurements, we add unknown synchronizing operators to the state variables. The identification of these additional state variables allows considering any configuration of unsynchronized phasor measurement in a simple and intuitive way. The proposed method is illustrated on a simulated distribution network.","PeriodicalId":244881,"journal":{"name":"2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124395418","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 : 2012-10-14DOI: 10.1109/ISGTEurope.2012.6465605
S. Nykamp, A. Molderink, V. Bakker, Hermen A. Toersche, J. Hurink, G. Smit
Electric heat pumps combined with heat buffers are important elements in smart grids since they together allow to shift the consumption of electricity in time. In this paper the effects of different control algorithms for heat pumps on the investment costs for distribution grids are investigated. For this, an optimization approach is implemented for a case study within an area where the buildings are only supplied by electricity. The simulations use real smart meter data to generate realistic load curves of households and heat pumps. The calculations show that grid costs increase up to 71% with an inappropriate control and decrease by 10% with an optimal integration of heat pumps. Furthermore, the costs for the reinforcement of the grid are confronted with the benefits on consumer side using flexible price signals. The cost-benefit analysis shows that considering grid restrictions in the context of controllable devices is highly recommended.
{"title":"Integration of heat pumps in distribution grids: Economic motivation for grid control","authors":"S. Nykamp, A. Molderink, V. Bakker, Hermen A. Toersche, J. Hurink, G. Smit","doi":"10.1109/ISGTEurope.2012.6465605","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2012.6465605","url":null,"abstract":"Electric heat pumps combined with heat buffers are important elements in smart grids since they together allow to shift the consumption of electricity in time. In this paper the effects of different control algorithms for heat pumps on the investment costs for distribution grids are investigated. For this, an optimization approach is implemented for a case study within an area where the buildings are only supplied by electricity. The simulations use real smart meter data to generate realistic load curves of households and heat pumps. The calculations show that grid costs increase up to 71% with an inappropriate control and decrease by 10% with an optimal integration of heat pumps. Furthermore, the costs for the reinforcement of the grid are confronted with the benefits on consumer side using flexible price signals. The cost-benefit analysis shows that considering grid restrictions in the context of controllable devices is highly recommended.","PeriodicalId":244881,"journal":{"name":"2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)","volume":"237 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121431366","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 : 2012-10-14DOI: 10.1109/ISGTEurope.2012.6465866
A. Collin, G. Tsagarakis, A. Kiprakis, S. McLaughlin
This paper presents a Markov chain approach for developing low-voltage (LV) residential load models for use in the analysis of future smart grids. The motivation is to obtain a better understanding of load use and user behaviour at the LV level which will allow future electricity network performance to be improved by understanding the impact of energy demand transformations through the application of demand-side management (DSM) strategies at the LV side. The developed load models highlight the variations between individual and aggregate load model representation and show that the composition of LV residential users should be carefully considered when analysing LV networks.
{"title":"Multi-scale electrical load modelling for demand-side management","authors":"A. Collin, G. Tsagarakis, A. Kiprakis, S. McLaughlin","doi":"10.1109/ISGTEurope.2012.6465866","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2012.6465866","url":null,"abstract":"This paper presents a Markov chain approach for developing low-voltage (LV) residential load models for use in the analysis of future smart grids. The motivation is to obtain a better understanding of load use and user behaviour at the LV level which will allow future electricity network performance to be improved by understanding the impact of energy demand transformations through the application of demand-side management (DSM) strategies at the LV side. The developed load models highlight the variations between individual and aggregate load model representation and show that the composition of LV residential users should be carefully considered when analysing LV networks.","PeriodicalId":244881,"journal":{"name":"2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126849534","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 : 2012-10-14DOI: 10.1109/ISGTEurope.2012.6465699
A. Molderink, V. Bakker, J. Hurink, G. Smit
Due to increasing energy prices and the greenhouse effect, a more efficient energy supply is desirable, preferably based on renewable sources. To cope with the decrease of flexibility due to the introduction of renewables in production side of the supply chain, a more flexible consumer side is required. In literature, a lot of management methodologies are proposed to exploit the flexibility of consuming devices. Due to the large number of devices, these methodologies are often based on cost functions. Comparing the results of different methodologies is hard since differences in results can be caused by the methodologies itself or by less good defined cost functions. In this paper an auction based realtime control is compared with an ILP based realtime control using identical cost functions. Furthermore, the influence of planning on these strategies is studied. The simulation results show that planning leads to better and more predictable results. Furthermore, planning is best combined with an auction. However, the auction should slightly be altered to decrease communication and to be able to cope with (local) grid constraints.
{"title":"Comparing demand side management approaches","authors":"A. Molderink, V. Bakker, J. Hurink, G. Smit","doi":"10.1109/ISGTEurope.2012.6465699","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2012.6465699","url":null,"abstract":"Due to increasing energy prices and the greenhouse effect, a more efficient energy supply is desirable, preferably based on renewable sources. To cope with the decrease of flexibility due to the introduction of renewables in production side of the supply chain, a more flexible consumer side is required. In literature, a lot of management methodologies are proposed to exploit the flexibility of consuming devices. Due to the large number of devices, these methodologies are often based on cost functions. Comparing the results of different methodologies is hard since differences in results can be caused by the methodologies itself or by less good defined cost functions. In this paper an auction based realtime control is compared with an ILP based realtime control using identical cost functions. Furthermore, the influence of planning on these strategies is studied. The simulation results show that planning leads to better and more predictable results. Furthermore, planning is best combined with an auction. However, the auction should slightly be altered to decrease communication and to be able to cope with (local) grid constraints.","PeriodicalId":244881,"journal":{"name":"2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121871228","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 : 2012-10-14DOI: 10.1109/ISGTEurope.2012.6465807
S. Mcarthur, Philip C. Taylor, G. Ault, J. King, Dimitrios Athanasiadis, Varavara D. Alimisis, Maciej Czaplewski
A wide range of applications are being researched and developed within the Smart Grid community, such as voltage control, thermal constraint management, dynamic line ratings and automated reconfiguration. Typically, the current approach is to develop piecemeal automation applied to small sections of legacy networks under current market, commercial and regulatory regimes. The challenges of future energy networks are the anticipated uncertainty and complexity within them. This includes uncertainty in the equipment, configurations and control functionality required married with uncertainty in the participation of consumers through demand side technologies and the uptake of electric vehicles and microgeneration technologies; while complexity is engendered in managing the vast number of interactions within such a system. The authors are developing the concept of the Autonomic Power System which provides flexible and adaptable control through fully distributed intelligence and control. Fundamental research in intelligent systems and network control will deliver a truly integrated self-controlling, self-optimising, self-healing and self-protecting electricity network. This paper outlines the vision, architecture and initial control techniques which will deliver the Autonomic Power System.
{"title":"The Autonomic Power System - Network operation and control beyond smart grids","authors":"S. Mcarthur, Philip C. Taylor, G. Ault, J. King, Dimitrios Athanasiadis, Varavara D. Alimisis, Maciej Czaplewski","doi":"10.1109/ISGTEurope.2012.6465807","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2012.6465807","url":null,"abstract":"A wide range of applications are being researched and developed within the Smart Grid community, such as voltage control, thermal constraint management, dynamic line ratings and automated reconfiguration. Typically, the current approach is to develop piecemeal automation applied to small sections of legacy networks under current market, commercial and regulatory regimes. The challenges of future energy networks are the anticipated uncertainty and complexity within them. This includes uncertainty in the equipment, configurations and control functionality required married with uncertainty in the participation of consumers through demand side technologies and the uptake of electric vehicles and microgeneration technologies; while complexity is engendered in managing the vast number of interactions within such a system. The authors are developing the concept of the Autonomic Power System which provides flexible and adaptable control through fully distributed intelligence and control. Fundamental research in intelligent systems and network control will deliver a truly integrated self-controlling, self-optimising, self-healing and self-protecting electricity network. This paper outlines the vision, architecture and initial control techniques which will deliver the Autonomic Power System.","PeriodicalId":244881,"journal":{"name":"2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123332017","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 : 2012-10-14DOI: 10.1109/ISGTEurope.2012.6465840
H. Joumaa, G. De-Oliviera, S. Ploix, M. Jacomino
The global dwelling energy management problem can be formalized as an optimization problem of energy consumption/ production. An optimal solution for the home energy management problem is usually solved by centralized solvers. The solver gets the totality of the thermal model of the dwelling but also each appliance composing the system. Nevertheless, this centralized resolution has some limits due to some particular appliances. For example: the appliances with a non-sharable model because of the manufacturer, the appliances that need some precisions that cannot be included in their standard representation used by the solver, the appliances which require specific solvers and the appliances that are managed by user-defined specific heuristic rules. This work proposes to combine the centralized solving approach for energy management problem in dwellings with a multi-agent solving system. The multi agent system provides the possibility of integrating specific models in the global solving of the problem. The proposed system is a mixed centralized/decentralized approach for the solving of global energy management problem. In this paper we present the system and the results of the perfamance tests realized. This work is part of the ANR project ReActivHome.
{"title":"Energy management problem in dwellings: Combining centralized and distributed solving approaches","authors":"H. Joumaa, G. De-Oliviera, S. Ploix, M. Jacomino","doi":"10.1109/ISGTEurope.2012.6465840","DOIUrl":"https://doi.org/10.1109/ISGTEurope.2012.6465840","url":null,"abstract":"The global dwelling energy management problem can be formalized as an optimization problem of energy consumption/ production. An optimal solution for the home energy management problem is usually solved by centralized solvers. The solver gets the totality of the thermal model of the dwelling but also each appliance composing the system. Nevertheless, this centralized resolution has some limits due to some particular appliances. For example: the appliances with a non-sharable model because of the manufacturer, the appliances that need some precisions that cannot be included in their standard representation used by the solver, the appliances which require specific solvers and the appliances that are managed by user-defined specific heuristic rules. This work proposes to combine the centralized solving approach for energy management problem in dwellings with a multi-agent solving system. The multi agent system provides the possibility of integrating specific models in the global solving of the problem. The proposed system is a mixed centralized/decentralized approach for the solving of global energy management problem. In this paper we present the system and the results of the perfamance tests realized. This work is part of the ANR project ReActivHome.","PeriodicalId":244881,"journal":{"name":"2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123718073","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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