S. Eckhoff, H.N.R. Wagner, O. Werth, J. Gerlach, M. Breitner, B. Engel
The urgent need to reduce carbon emissions resulting in decentralized renewable energy systems also encourages the establishment of energy communities where residential and/or commercial consumers can actively participate in the generation, consumption, or provision of flexibility of electric energy. The integration of electric mobility within these energy communities is of particular interest as its increasing load will impact grid stability and therefore the power grid's and components' sizing and operation. With this work, we provide a holistic overview of research activities on the integration of electric vehicles in energy communities that supports researchers and practitioners with the identification of relevant topics and research gaps. We identify seven research clusters by hierarchical clustering analysis. Relevant topics include smart charging, vehicle-to-x, and considerations of uncertainty. Future research should focus on open-source models and the synthesis of the knowledge base from the extensive body of literature.
{"title":"Electric mobility integration in energy communities: trending topics and future research directions","authors":"S. Eckhoff, H.N.R. Wagner, O. Werth, J. Gerlach, M. Breitner, B. Engel","doi":"10.1049/icp.2021.2524","DOIUrl":"https://doi.org/10.1049/icp.2021.2524","url":null,"abstract":"The urgent need to reduce carbon emissions resulting in decentralized renewable energy systems also encourages the establishment of energy communities where residential and/or commercial consumers can actively participate in the generation, consumption, or provision of flexibility of electric energy. The integration of electric mobility within these energy communities is of particular interest as its increasing load will impact grid stability and therefore the power grid's and components' sizing and operation. With this work, we provide a holistic overview of research activities on the integration of electric vehicles in energy communities that supports researchers and practitioners with the identification of relevant topics and research gaps. We identify seven research clusters by hierarchical clustering analysis. Relevant topics include smart charging, vehicle-to-x, and considerations of uncertainty. Future research should focus on open-source models and the synthesis of the knowledge base from the extensive body of literature.","PeriodicalId":358724,"journal":{"name":"5th E-Mobility Power System Integration Symposium (EMOB 2021)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125937565","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}
{"title":"Interoperable Vehicle2Grid integration enabled by the combined charging system","authors":"R. Michaelis","doi":"10.1049/icp.2021.2505","DOIUrl":"https://doi.org/10.1049/icp.2021.2505","url":null,"abstract":"","PeriodicalId":358724,"journal":{"name":"5th E-Mobility Power System Integration Symposium (EMOB 2021)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124018463","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}
Higher loads through the increasing spread of electric vehicles and according charging points as well as heat pumps will put the distribution grid under pressure in the near future. Volatile supply from growing PV generation makes it even harder to guarantee secure grid operation. The provision and use of flexibility, i.e. opportunities to decrease and increase loads and generation at certain times, is one way to stabilise the distribution grid operation. In the work presented here, we propose a flexibility plat-form where flexibilities at the prosumer side are matched against potential flexibility needs of the grid operator. In case of a match the service providing prosumers are remunerated by the grid operator. Simulation results indicate that resulting costs depend on the configuration of the home energy man-agement systems and prosumer behaviour.
{"title":"Managing flexibility in the distribution grid","authors":"S. Holzhauer, F. Krebs","doi":"10.1049/icp.2021.2514","DOIUrl":"https://doi.org/10.1049/icp.2021.2514","url":null,"abstract":"Higher loads through the increasing spread of electric vehicles and according charging points as well as heat pumps will put the distribution grid under pressure in the near future. Volatile supply from growing PV generation makes it even harder to guarantee secure grid operation. The provision and use of flexibility, i.e. opportunities to decrease and increase loads and generation at certain times, is one way to stabilise the distribution grid operation. In the work presented here, we propose a flexibility plat-form where flexibilities at the prosumer side are matched against potential flexibility needs of the grid operator. In case of a match the service providing prosumers are remunerated by the grid operator. Simulation results indicate that resulting costs depend on the configuration of the home energy man-agement systems and prosumer behaviour.","PeriodicalId":358724,"journal":{"name":"5th E-Mobility Power System Integration Symposium (EMOB 2021)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121493362","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}
In the course of the energy transition, both the energy sector and the logistics industry are facing radical changes. Providing renewable energy is subject to natural fluctuations, which leads to continuous over- and undersupply. Besides, the insufficiency of clarity concerning the requirements of renewable energy as well as the extent of charging networks poses a tremendous problem. Especially in terms of mobility, many questions remain unaddressed. Despite the immense benefits of electrification within the industrial freight transport, companies have serious concerns about converting their fleets. The lack of transparency regarding the current status of charging infrastructure as well as its possibilities to expand, causes the inadequate acceptance of electric mobility in multimodal logistic chains. In order to profit from the far-reaching potential of the energy sector, a synergistic interaction of the “energy” and “mobility” sectors has to be conceived.
{"title":"Realisation of a sustainable route planning using a selection of locations and analysis of charging park infrastructure integrated in energy districts","authors":"S. Junglas, A. Kraut","doi":"10.1049/icp.2021.2516","DOIUrl":"https://doi.org/10.1049/icp.2021.2516","url":null,"abstract":"In the course of the energy transition, both the energy sector and the logistics industry are facing radical changes. Providing renewable energy is subject to natural fluctuations, which leads to continuous over- and undersupply. Besides, the insufficiency of clarity concerning the requirements of renewable energy as well as the extent of charging networks poses a tremendous problem. Especially in terms of mobility, many questions remain unaddressed. Despite the immense benefits of electrification within the industrial freight transport, companies have serious concerns about converting their fleets. The lack of transparency regarding the current status of charging infrastructure as well as its possibilities to expand, causes the inadequate acceptance of electric mobility in multimodal logistic chains. In order to profit from the far-reaching potential of the energy sector, a synergistic interaction of the “energy” and “mobility” sectors has to be conceived.","PeriodicalId":358724,"journal":{"name":"5th E-Mobility Power System Integration Symposium (EMOB 2021)","volume":"28 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129838112","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}
D. Huschenhoefer, J. Petzschmann, S. Sigle, T. Schneider
To ensure that the vehicles of the Karlsruhe Regional Council have enough energy charged for planned trips and to avoid an expensive expansion of the grid connection and investment in a battery storage system, an optimisation-based charging management system was developed in the “eLISA-BW” project. Using the information of the fleet booking system, the charging management provides the backend of the charging infrastructure with an optimised charging schedule.
{"title":"Balanced priority charging put into practice for an E-mobility fleet of a regional council","authors":"D. Huschenhoefer, J. Petzschmann, S. Sigle, T. Schneider","doi":"10.1049/icp.2021.2525","DOIUrl":"https://doi.org/10.1049/icp.2021.2525","url":null,"abstract":"To ensure that the vehicles of the Karlsruhe Regional Council have enough energy charged for planned trips and to avoid an expensive expansion of the grid connection and investment in a battery storage system, an optimisation-based charging management system was developed in the “eLISA-BW” project. Using the information of the fleet booking system, the charging management provides the backend of the charging infrastructure with an optimised charging schedule.","PeriodicalId":358724,"journal":{"name":"5th E-Mobility Power System Integration Symposium (EMOB 2021)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114799553","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}
T. Schmidt-Achert, A. Bogensperger, S. Fattler, A. Ostermann
The interaction between electric vehicles (EV) and the future energy system is subject of current research in the field of energy system analysis. EVs represent an additional electrical load on the one hand and a potential flexibility provider through smart charging on the other. Feedback effects on the energy system and potential benefits of intelligently charged EVs depend on a variety of technical parameters as well as the individual driving behavior of vehicle owners. Since no sufficient data on EV users driving behavior is currently available, synthetic profiles have to be used. In this paper we propose a methodological approach that combines the mobility data of the two main household travel surveys in Germany - the Mobility in Germany 2017 and the German Mobility panel - to synthesize annual mobility profiles that represent the German mobility behavior. To guarantee statistical soundness, the methodology requires a large number of individual profiles used for further evaluations. Computational power however limits the maximum number of usable profiles. In the context of this paper, we assess and compare potential revenues of a price optimized unidirectional and bidirectional charging strategy. Those evaluations are carried out for 10,000 profiles with the linear optimization model eFLAME. Resulting revenues and vehicle-specific indicators such as equivalent full cycles (EFC) and charging/discharging hours serve as a reference for further evaluations with a reduced number of profiles. To reduce that number, we compare two distinct methodological approaches. The first approach is based on randomly drawing an increasing number of profiles, while the second is based on applying various clustering algorithms to specifically identify representative profiles. In the context of clustering algorithms, we test and compare distinct feature definitions, preanalysis methods and include a principal component analysis (PCA) to identify the best cluster of representative profiles. To assess the validity of each approach, we use the deviation of 16 key indicators from the reference simulation run with 10,000 profiles. When considering randomly drawn profiles, we identified a minimum number of 1,000 profiles to adequately represent the German mobility behavior and keep deviations for all 16 key indicators low. The use of cluster algorithms can reduce this number even further. Even with a minimum of 10 identified representative profiles, deviations for most key indicators are comparatively low. Others on the other hand remain high.
{"title":"Using clustering algorithms to identify representative EV mobility profiles for complex energy system models","authors":"T. Schmidt-Achert, A. Bogensperger, S. Fattler, A. Ostermann","doi":"10.1049/icp.2021.2523","DOIUrl":"https://doi.org/10.1049/icp.2021.2523","url":null,"abstract":"The interaction between electric vehicles (EV) and the future energy system is subject of current research in the field of energy system analysis. EVs represent an additional electrical load on the one hand and a potential flexibility provider through smart charging on the other. Feedback effects on the energy system and potential benefits of intelligently charged EVs depend on a variety of technical parameters as well as the individual driving behavior of vehicle owners. Since no sufficient data on EV users driving behavior is currently available, synthetic profiles have to be used. In this paper we propose a methodological approach that combines the mobility data of the two main household travel surveys in Germany - the Mobility in Germany 2017 and the German Mobility panel - to synthesize annual mobility profiles that represent the German mobility behavior. To guarantee statistical soundness, the methodology requires a large number of individual profiles used for further evaluations. Computational power however limits the maximum number of usable profiles. In the context of this paper, we assess and compare potential revenues of a price optimized unidirectional and bidirectional charging strategy. Those evaluations are carried out for 10,000 profiles with the linear optimization model eFLAME. Resulting revenues and vehicle-specific indicators such as equivalent full cycles (EFC) and charging/discharging hours serve as a reference for further evaluations with a reduced number of profiles. To reduce that number, we compare two distinct methodological approaches. The first approach is based on randomly drawing an increasing number of profiles, while the second is based on applying various clustering algorithms to specifically identify representative profiles. In the context of clustering algorithms, we test and compare distinct feature definitions, preanalysis methods and include a principal component analysis (PCA) to identify the best cluster of representative profiles. To assess the validity of each approach, we use the deviation of 16 key indicators from the reference simulation run with 10,000 profiles. When considering randomly drawn profiles, we identified a minimum number of 1,000 profiles to adequately represent the German mobility behavior and keep deviations for all 16 key indicators low. The use of cluster algorithms can reduce this number even further. Even with a minimum of 10 identified representative profiles, deviations for most key indicators are comparatively low. Others on the other hand remain high.","PeriodicalId":358724,"journal":{"name":"5th E-Mobility Power System Integration Symposium (EMOB 2021)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134182708","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}
N. Baumgartner, F. Kellerer, M. Dreisbusch, S. Mang, M. Ruppert, W. Fichtner
Vehicle to grid (V2G) enables active participation of electric vehicles in the energy system and thus can bring advantages for electricity grid operation and renewable integration. For this technological innovation to be adopted by a great majority a high user involvement in V2G is required. Thus, limitations need to be considered, such as the security range, which gains relevance in the context of V2G, since this range must not be undercut during the charging and discharging process. In this paper we investigate the desired security range in the light of user experience and the place of living. Results indicate, that security range requirements are high, independent of user experience and the place of living.
{"title":"Persisting barriers in the context of vehicle to grid: exploring the role of minimum security range based on consumer experience","authors":"N. Baumgartner, F. Kellerer, M. Dreisbusch, S. Mang, M. Ruppert, W. Fichtner","doi":"10.1049/icp.2021.2508","DOIUrl":"https://doi.org/10.1049/icp.2021.2508","url":null,"abstract":"Vehicle to grid (V2G) enables active participation of electric vehicles in the energy system and thus can bring advantages for electricity grid operation and renewable integration. For this technological innovation to be adopted by a great majority a high user involvement in V2G is required. Thus, limitations need to be considered, such as the security range, which gains relevance in the context of V2G, since this range must not be undercut during the charging and discharging process. In this paper we investigate the desired security range in the light of user experience and the place of living. Results indicate, that security range requirements are high, independent of user experience and the place of living.","PeriodicalId":358724,"journal":{"name":"5th E-Mobility Power System Integration Symposium (EMOB 2021)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123765653","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：