Pub Date : 2019-06-23DOI: 10.1109/PTC.2019.8810673
Sewan Heo, Jinsoo Han, Wan-ki Park
This paper proposes a sustainable islanding system for microgrid which consists of dual power inverters and a cooperative generator. The system can be separated from the utility grid with two islanding operations, one is normal islanding operation that maintains the stable power supply to all loads, the other is protective islanding operation that protects prior part of the load from the power outage even when the grid fault occurs unexpectedly. These operations are based on a multi-mode control of the inverters between the constant current and constant voltage modes, and the cooperation of the local generator that supports enough power to the voltage mode inverter for the successful islanding operation. In addition, the inverters use the voltage synchronization to reconnect to the grid, which makes the mode transition seamlessly. The islanding operations of the proposed system were verified through the simulations using PSIM tool. The power supply to the prior load was continuous by detecting the grid fault in 10 ms and by changing the voltage source from the grid to the inverter. Then, the other inverter and the generator cooperated to supply power to the other load according to the predefined procedure.
{"title":"Sustainable Islanding System Based on Dual Power Inverters with Cooperative Generator","authors":"Sewan Heo, Jinsoo Han, Wan-ki Park","doi":"10.1109/PTC.2019.8810673","DOIUrl":"https://doi.org/10.1109/PTC.2019.8810673","url":null,"abstract":"This paper proposes a sustainable islanding system for microgrid which consists of dual power inverters and a cooperative generator. The system can be separated from the utility grid with two islanding operations, one is normal islanding operation that maintains the stable power supply to all loads, the other is protective islanding operation that protects prior part of the load from the power outage even when the grid fault occurs unexpectedly. These operations are based on a multi-mode control of the inverters between the constant current and constant voltage modes, and the cooperation of the local generator that supports enough power to the voltage mode inverter for the successful islanding operation. In addition, the inverters use the voltage synchronization to reconnect to the grid, which makes the mode transition seamlessly. The islanding operations of the proposed system were verified through the simulations using PSIM tool. The power supply to the prior load was continuous by detecting the grid fault in 10 ms and by changing the voltage source from the grid to the inverter. Then, the other inverter and the generator cooperated to supply power to the other load according to the predefined procedure.","PeriodicalId":187144,"journal":{"name":"2019 IEEE Milan PowerTech","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123450730","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 : 2019-06-23DOI: 10.1109/PTC.2019.8810424
S. Rädle, J. Mast, J. Gerlach, O. Bringmann
As a side effect to the mobility aspect, the steadily increasing proportion of electric vehicles provides a decentralized electrical storage network which can be used as an alternative to traditional central storage systems for buffering fluctuations in power generation and balancing the stability of the power grid. The systematic optimization of such energy-technical scenarios towards multiple objectives provides a complex optimization problem, which is addressed in this paper by using mechanisms of Artificial Intelligence (AI). A methodology for an optimized energy exchange between a network of e-mobility energy storages (ES) and a virtual power plant (VPP) will be presented, which improves the stability of the power grid and at the same time charges the storage systems of the electric vehicles for their further use. To validate the developed methodology, the results of two metaheuristics are explored: Simulated Annealing (SA) and Particle Swarm optimization (PSO).
{"title":"Exploration of Artifical Intelligence Approaches for the Integration of E-Mobility Energy Storage Systems into Virtual Power Plants","authors":"S. Rädle, J. Mast, J. Gerlach, O. Bringmann","doi":"10.1109/PTC.2019.8810424","DOIUrl":"https://doi.org/10.1109/PTC.2019.8810424","url":null,"abstract":"As a side effect to the mobility aspect, the steadily increasing proportion of electric vehicles provides a decentralized electrical storage network which can be used as an alternative to traditional central storage systems for buffering fluctuations in power generation and balancing the stability of the power grid. The systematic optimization of such energy-technical scenarios towards multiple objectives provides a complex optimization problem, which is addressed in this paper by using mechanisms of Artificial Intelligence (AI). A methodology for an optimized energy exchange between a network of e-mobility energy storages (ES) and a virtual power plant (VPP) will be presented, which improves the stability of the power grid and at the same time charges the storage systems of the electric vehicles for their further use. To validate the developed methodology, the results of two metaheuristics are explored: Simulated Annealing (SA) and Particle Swarm optimization (PSO).","PeriodicalId":187144,"journal":{"name":"2019 IEEE Milan PowerTech","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129493842","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 : 2019-06-23DOI: 10.1109/PTC.2019.8810811
Alexander Elvers, Marcus Voss, S. Albayrak
Lowly aggregated load profiles such as of individual households or buildings are more fluctuating and relative forecast errors are comparatively high. Therefore, the prevalent point forecasts are not sufficiently capable of optimally capturing uncertainty and hence lead to non-optimal decisions in different operational tasks. We propose an approach for short-term load quantile forecasting based on convolutional neural networks (STLQF-CNN). Historical load and temperature are encoded in a three-dimensional input to enforce locality of seasonal data. The model efficiently minimizes the pinball loss over all desired quantiles and the forecast horizon at once. We evaluate our approach for day-ahead and intra-day predictions on 222 house-holds and different aggregations from the Pecan Street dataset. The evaluation shows that our model consistently outperforms a naïve and an established linear quantile regression benchmark model, e.g., between 21 and 29 % better than the best benchmark on aggregations of 10, 20 and 50 households from Austin.
{"title":"Short-Term Probabilistic Load Forecasting at Low Aggregation Levels Using Convolutional Neural Networks","authors":"Alexander Elvers, Marcus Voss, S. Albayrak","doi":"10.1109/PTC.2019.8810811","DOIUrl":"https://doi.org/10.1109/PTC.2019.8810811","url":null,"abstract":"Lowly aggregated load profiles such as of individual households or buildings are more fluctuating and relative forecast errors are comparatively high. Therefore, the prevalent point forecasts are not sufficiently capable of optimally capturing uncertainty and hence lead to non-optimal decisions in different operational tasks. We propose an approach for short-term load quantile forecasting based on convolutional neural networks (STLQF-CNN). Historical load and temperature are encoded in a three-dimensional input to enforce locality of seasonal data. The model efficiently minimizes the pinball loss over all desired quantiles and the forecast horizon at once. We evaluate our approach for day-ahead and intra-day predictions on 222 house-holds and different aggregations from the Pecan Street dataset. The evaluation shows that our model consistently outperforms a naïve and an established linear quantile regression benchmark model, e.g., between 21 and 29 % better than the best benchmark on aggregations of 10, 20 and 50 households from Austin.","PeriodicalId":187144,"journal":{"name":"2019 IEEE Milan PowerTech","volume":"1939 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129029168","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 : 2019-06-23DOI: 10.1109/PTC.2019.8810694
Ahmed Hadjsaid, V. Debusschere, M. Alvarez‐Herault, R. Caire
The objective of this work is to study the impact of storage systems on major indicators of planning studies for low voltage grids, namely the equivalent duration of peak power for fast power losses assessment. This work is conducted from the point of view of a distribution system operator, contracting with external players a flexibility from a local storage unit. A mathematical model is proposed to analytically compute the downstream resources. This model is a function of the storage system regulation objective (minimizing losses) as well as other modelling hypothesis, discussed in the paper. Three steps are identified depending on the penetration rate of the storage system in the grid. Finally, a sensitivity study on the storage efficiency as well as the optimization time horizon of the regulation of the storage concludes that the method is robust.
{"title":"Studying the Impact of Storage Systems on the Planning Studies of Low Voltage Distribution Grids","authors":"Ahmed Hadjsaid, V. Debusschere, M. Alvarez‐Herault, R. Caire","doi":"10.1109/PTC.2019.8810694","DOIUrl":"https://doi.org/10.1109/PTC.2019.8810694","url":null,"abstract":"The objective of this work is to study the impact of storage systems on major indicators of planning studies for low voltage grids, namely the equivalent duration of peak power for fast power losses assessment. This work is conducted from the point of view of a distribution system operator, contracting with external players a flexibility from a local storage unit. A mathematical model is proposed to analytically compute the downstream resources. This model is a function of the storage system regulation objective (minimizing losses) as well as other modelling hypothesis, discussed in the paper. Three steps are identified depending on the penetration rate of the storage system in the grid. Finally, a sensitivity study on the storage efficiency as well as the optimization time horizon of the regulation of the storage concludes that the method is robust.","PeriodicalId":187144,"journal":{"name":"2019 IEEE Milan PowerTech","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132441761","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 : 2019-06-23DOI: 10.1109/PTC.2019.8810543
T. Do, M. Alvarez‐Herault
Long term distribution network planning consists in imagining the most likely future of the distribution network over several decades in order to anticipate the investments. In France and in many countries, there is no software, which automatically proposes alternatives for planners, based on a set of hypotheses. On the contrary, they usually find manually solutions and validate them using some software, which provides technical, economic and reliability studies. This paper proposes a several stage algorithm taken from graph theory, which automatizes the different steps of a rural planning study to give some flexibility to the planner who can interfere whenever he wants. The typical rural architecture built consists of main MV loops radially operated and secondary arborescent radials. Two real rural test cases enable to validate the automatic rural planning algorithm by assessing the total length of cables savings, the completion with voltage limits and the increase of renewable penetration.
{"title":"Distribution Network Planning Tool for Rural Areas","authors":"T. Do, M. Alvarez‐Herault","doi":"10.1109/PTC.2019.8810543","DOIUrl":"https://doi.org/10.1109/PTC.2019.8810543","url":null,"abstract":"Long term distribution network planning consists in imagining the most likely future of the distribution network over several decades in order to anticipate the investments. In France and in many countries, there is no software, which automatically proposes alternatives for planners, based on a set of hypotheses. On the contrary, they usually find manually solutions and validate them using some software, which provides technical, economic and reliability studies. This paper proposes a several stage algorithm taken from graph theory, which automatizes the different steps of a rural planning study to give some flexibility to the planner who can interfere whenever he wants. The typical rural architecture built consists of main MV loops radially operated and secondary arborescent radials. Two real rural test cases enable to validate the automatic rural planning algorithm by assessing the total length of cables savings, the completion with voltage limits and the increase of renewable penetration.","PeriodicalId":187144,"journal":{"name":"2019 IEEE Milan PowerTech","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132159427","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 : 2019-06-23DOI: 10.1109/PTC.2019.8810992
A. Picanco, A. D. De Souza
This paper proposes the Temperature-BFS method that apply the backward-forward sweep considering temperature of the distribution system conductors. Distributed generation should be considered in distribution system studies. Therefore, the Temperature-BFS method was used with exhaustive search for optimal allocation of distributed generation. The aim is to calculate the losses in the electrical system under the environmental conditions, such as, wind speed, ambient temperature and solar radiation. This methodology was applied to the 34-bus, 70-bus and 126-bus radial systems considering 1 and 2 distributed generation. It was observed an increase of 8% to 13% in the calculated losses by the Temperature-BFS algorithm.
{"title":"Temperature-dependent Radial Power Flow with Distributed Generation","authors":"A. Picanco, A. D. De Souza","doi":"10.1109/PTC.2019.8810992","DOIUrl":"https://doi.org/10.1109/PTC.2019.8810992","url":null,"abstract":"This paper proposes the Temperature-BFS method that apply the backward-forward sweep considering temperature of the distribution system conductors. Distributed generation should be considered in distribution system studies. Therefore, the Temperature-BFS method was used with exhaustive search for optimal allocation of distributed generation. The aim is to calculate the losses in the electrical system under the environmental conditions, such as, wind speed, ambient temperature and solar radiation. This methodology was applied to the 34-bus, 70-bus and 126-bus radial systems considering 1 and 2 distributed generation. It was observed an increase of 8% to 13% in the calculated losses by the Temperature-BFS algorithm.","PeriodicalId":187144,"journal":{"name":"2019 IEEE Milan PowerTech","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131352864","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 : 2019-06-23DOI: 10.1109/PTC.2019.8810495
Yonggang Zhang, Christian Klabunde, M. Wolter
Harmonic resonances can happen in DFIG-based Offshore Wind Farm (OWF) via VSC-HVDC integration, thus induce large current or voltage distortion and may risk system stability. In this paper, analytical impedance models of VSCHVDC converter and DFIG-based wind turbine generator are derived. Instead of studying system resonance characteristics through Nyquist method by equalizing a DFIG-based OWF and its VSC-HVDC link as a source-load system, the investigated system is treated as a multiple nodes network, and modal-based Resonance Mode Analysis (RMA) is adopted. Potential dominating resonances of the investigated system are analyzed, and the contribution of grid buses to each resonance mode is clarified, which provide reference for the design of harmonic filtering and resonance damping schemes. Numerical simulations are carried out to demonstrate the impedance modelling and RMA analysis results.
{"title":"Harmonic Resonance Analysis for DFIG-based Offshore Wind Farm with VSC-HVDC Connection","authors":"Yonggang Zhang, Christian Klabunde, M. Wolter","doi":"10.1109/PTC.2019.8810495","DOIUrl":"https://doi.org/10.1109/PTC.2019.8810495","url":null,"abstract":"Harmonic resonances can happen in DFIG-based Offshore Wind Farm (OWF) via VSC-HVDC integration, thus induce large current or voltage distortion and may risk system stability. In this paper, analytical impedance models of VSCHVDC converter and DFIG-based wind turbine generator are derived. Instead of studying system resonance characteristics through Nyquist method by equalizing a DFIG-based OWF and its VSC-HVDC link as a source-load system, the investigated system is treated as a multiple nodes network, and modal-based Resonance Mode Analysis (RMA) is adopted. Potential dominating resonances of the investigated system are analyzed, and the contribution of grid buses to each resonance mode is clarified, which provide reference for the design of harmonic filtering and resonance damping schemes. Numerical simulations are carried out to demonstrate the impedance modelling and RMA analysis results.","PeriodicalId":187144,"journal":{"name":"2019 IEEE Milan PowerTech","volume":"198 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116082722","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 : 2019-06-23DOI: 10.1109/PTC.2019.8810857
B. Hartmann, I. Vokony, I. Táczi, J. Kiss
Earthing practice of medium-voltage networks fundamentally affect operation of distribution networks by determining voltage and current behavior during earth faults, which are the most common type of shunt faults. A widely applied solution is the utilization of arc suppression coils and resistive earthing on overhead line and cable subnetworks, respectively, but transition of network infrastructure often necessitates reviewing best practices.Latter issue is discussed in present paper, using a mixed overhead line-cable subnetwork of a Hungarian distribution system operator as case study. The examined subnetwork is subject to significant extension and topology reorganization, providing motivation for an in-depth analysis. Computer modelling and simulation was used to estimate changes in the magnitude of earth fault currents, detuning factor and ratios of positive and zero sequence impedances. Based on results of the simulation, a proposal has been prepared to maintain compensation capabilities of the subnetwork by installation of additional arc suppression coils.
{"title":"Effect of Extensive Cabling on Efficiency of Resonant Earthing Applied in Medium-Voltage Distribution Networks: a Hungarian Case Study","authors":"B. Hartmann, I. Vokony, I. Táczi, J. Kiss","doi":"10.1109/PTC.2019.8810857","DOIUrl":"https://doi.org/10.1109/PTC.2019.8810857","url":null,"abstract":"Earthing practice of medium-voltage networks fundamentally affect operation of distribution networks by determining voltage and current behavior during earth faults, which are the most common type of shunt faults. A widely applied solution is the utilization of arc suppression coils and resistive earthing on overhead line and cable subnetworks, respectively, but transition of network infrastructure often necessitates reviewing best practices.Latter issue is discussed in present paper, using a mixed overhead line-cable subnetwork of a Hungarian distribution system operator as case study. The examined subnetwork is subject to significant extension and topology reorganization, providing motivation for an in-depth analysis. Computer modelling and simulation was used to estimate changes in the magnitude of earth fault currents, detuning factor and ratios of positive and zero sequence impedances. Based on results of the simulation, a proposal has been prepared to maintain compensation capabilities of the subnetwork by installation of additional arc suppression coils.","PeriodicalId":187144,"journal":{"name":"2019 IEEE Milan PowerTech","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115612508","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 : 2019-06-23DOI: 10.1109/PTC.2019.8810803
A. Collin, J. Drapela, R. Langella, A. Testa, S. Djokic, N. Watson
The paper reports an experimental evaluation of LED lamps in terms of admittance Frequency Coupling Matrices (FCM) for harmonic modelling needs. After recalling the FCM approach, a description of the experimental setup used and an LED lamp classification previously proposed by the authors is presented. For each of the four lamp types identified, some harmonic fingerprint plots are shown to introduce the admittance characteristics. More detailed analysis of the characteristics is performed using the tensor representation of the FCM, which compares characteristics between the different lamp types and also between different lamps of the same type. It is shown that this approach can identify characteristics of different types of lamps for modelling purposes.
{"title":"Harmonic Modelling of LED lamps by Means of Admittance Frequency Coupling Matrices","authors":"A. Collin, J. Drapela, R. Langella, A. Testa, S. Djokic, N. Watson","doi":"10.1109/PTC.2019.8810803","DOIUrl":"https://doi.org/10.1109/PTC.2019.8810803","url":null,"abstract":"The paper reports an experimental evaluation of LED lamps in terms of admittance Frequency Coupling Matrices (FCM) for harmonic modelling needs. After recalling the FCM approach, a description of the experimental setup used and an LED lamp classification previously proposed by the authors is presented. For each of the four lamp types identified, some harmonic fingerprint plots are shown to introduce the admittance characteristics. More detailed analysis of the characteristics is performed using the tensor representation of the FCM, which compares characteristics between the different lamp types and also between different lamps of the same type. It is shown that this approach can identify characteristics of different types of lamps for modelling purposes.","PeriodicalId":187144,"journal":{"name":"2019 IEEE Milan PowerTech","volume":"125 24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121846346","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 : 2019-06-23DOI: 10.1109/PTC.2019.8810982
Jingli Guo, Jin Yang, Zhengyu Lin, Clara Serrano, A. M. Cortes
Due to their promising feature in reducing greenhouse gas emissions, electric vehicles (EVs) have received overwhelming support in recent decades. One of the compelling ideas is that EVs serve as distributed energy storage and provide ancillary services to the electricity grid. From the concept to deployment, thorough research is required from the respective of technology, economics and policy. This paper gives a review of research works in terms of vehicle-to-grid (V2G) impacts on battery degradation. Battery degradation mechanisms and main stress factors are briefly summarized. Commonly used degradation models, classified as theoretical models, empirical models and semi-empirical models are reviewed in terms of mathematical expressions, advantages and disadvantages. Suitable applications of different models are highlighted. Based on the review of studies on V2G impacts on battery degradation, conclusions from current research and remarks for future work are given in this paper.
{"title":"Impact Analysis of V2G Services on EV Battery Degradation -A Review","authors":"Jingli Guo, Jin Yang, Zhengyu Lin, Clara Serrano, A. M. Cortes","doi":"10.1109/PTC.2019.8810982","DOIUrl":"https://doi.org/10.1109/PTC.2019.8810982","url":null,"abstract":"Due to their promising feature in reducing greenhouse gas emissions, electric vehicles (EVs) have received overwhelming support in recent decades. One of the compelling ideas is that EVs serve as distributed energy storage and provide ancillary services to the electricity grid. From the concept to deployment, thorough research is required from the respective of technology, economics and policy. This paper gives a review of research works in terms of vehicle-to-grid (V2G) impacts on battery degradation. Battery degradation mechanisms and main stress factors are briefly summarized. Commonly used degradation models, classified as theoretical models, empirical models and semi-empirical models are reviewed in terms of mathematical expressions, advantages and disadvantages. Suitable applications of different models are highlighted. Based on the review of studies on V2G impacts on battery degradation, conclusions from current research and remarks for future work are given in this paper.","PeriodicalId":187144,"journal":{"name":"2019 IEEE Milan PowerTech","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123861650","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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