Pub Date : 2019-10-01DOI: 10.1109/SmartGridComm.2019.8909698
Abdelrahman Abdelkader, I. Sychev, Riccardo Bonetto, F. Fitzek
In an independent self-sustained micro grid (MG) with limited energy resources, plugged-in electric vehicles (EV) must compete for available excess power supply or demand, modeled as a random variable. This paper proposes a distributed machine learning algorithm based on a Markov decision process (MDP) and non-cooperative game theory, that maximizes the EV’s profit under uncertainty of future MG supply/demand states, while satisfying specific battery constraints imposed by the EV owner. Performance evaluation of the proposed algorithm shows that even with no a priori knowledge of future MG supply/demand states, it achieves average profits of only 43% less than the global optimal profit. Results also show that using a cooperative version of the algorithm leads to a 12% increase in average profits.
{"title":"A Market Oriented, Reinforcement Learning Based Approach for Electric Vehicles Integration in Smart Micro Grids","authors":"Abdelrahman Abdelkader, I. Sychev, Riccardo Bonetto, F. Fitzek","doi":"10.1109/SmartGridComm.2019.8909698","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2019.8909698","url":null,"abstract":"In an independent self-sustained micro grid (MG) with limited energy resources, plugged-in electric vehicles (EV) must compete for available excess power supply or demand, modeled as a random variable. This paper proposes a distributed machine learning algorithm based on a Markov decision process (MDP) and non-cooperative game theory, that maximizes the EV’s profit under uncertainty of future MG supply/demand states, while satisfying specific battery constraints imposed by the EV owner. Performance evaluation of the proposed algorithm shows that even with no a priori knowledge of future MG supply/demand states, it achieves average profits of only 43% less than the global optimal profit. Results also show that using a cooperative version of the algorithm leads to a 12% increase in average profits.","PeriodicalId":377150,"journal":{"name":"2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"520 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123411001","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 : 2019-10-01DOI: 10.1109/SmartGridComm.2019.8909788
Seppo Borenius, J. Costa-Requena, M. Lehtonen, R. Kantola
Smart grids are key enablers for creating sustainable energy systems. On the other hand, they introduce a grid management challenge as power grids become more complex and dynamic. Evolving power grids towards smart grids requires combining electric energy technology with communications and information technology. In a distributed network, time synchronization is often one central question. This paper studies limitations of utilizing the widely used Network Time Protocol (NTP) in current 4G cellular networks for smart grid management. As a specific contribution, an improved, NTP based clock adjustment algorithm is proposed to provide more accurate timing information. Finally, the paper studies capabilities of emerging 5G cellular networks to further improve accuracy of timing provided to user equipment (UE).
智能电网是创建可持续能源系统的关键推动者。另一方面，随着电网变得更加复杂和动态，它们给电网管理带来了挑战。电网向智能电网发展需要将电力能源技术与通信和信息技术相结合。在分布式网络中，时间同步通常是一个中心问题。本文研究了当前4G蜂窝网络中广泛使用的网络时间协议(Network Time Protocol, NTP)在智能电网管理中的局限性。作为一个具体的贡献，提出了一种改进的基于NTP的时钟调整算法，以提供更准确的定时信息。最后，本文研究了新兴5G蜂窝网络的能力，以进一步提高提供给用户设备(UE)的授时精度。
{"title":"Providing Network Time Protocol Based Timing for Smart Grid Measurement and Control Devices in 5G Networks","authors":"Seppo Borenius, J. Costa-Requena, M. Lehtonen, R. Kantola","doi":"10.1109/SmartGridComm.2019.8909788","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2019.8909788","url":null,"abstract":"Smart grids are key enablers for creating sustainable energy systems. On the other hand, they introduce a grid management challenge as power grids become more complex and dynamic. Evolving power grids towards smart grids requires combining electric energy technology with communications and information technology. In a distributed network, time synchronization is often one central question. This paper studies limitations of utilizing the widely used Network Time Protocol (NTP) in current 4G cellular networks for smart grid management. As a specific contribution, an improved, NTP based clock adjustment algorithm is proposed to provide more accurate timing information. Finally, the paper studies capabilities of emerging 5G cellular networks to further improve accuracy of timing provided to user equipment (UE).","PeriodicalId":377150,"journal":{"name":"2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117223520","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 : 2019-10-01DOI: 10.1109/SmartGridComm.2019.8909707
Ayman Uddin Mahin, S. Islam, Md. Farhad Hossain
Power transmission monitoring and control are essential components of a smart grid. Power transmission capacity of an overhead transmission line is greatly dependent on the sag of the line. When the sag is lower, more power can be transmitted safely through the line. Due to this, real-time sag measurement and monitoring is important for effective transmission of power through the line. In this paper, a mmWave based sag measurement technique incorporating parabolic approximation is proposed which improves the accuracy of sag calculation. Impact of different system parameters on the calculated value of the sag is also investigated. The results show that the proposed method can achieve better accuracy even with smaller number of samples, though the accuracy degrades with error in angle of arrival.
{"title":"Millimeter Wave Based Sag Measurement Using Parabolic Approximation for Smart Grid Overhead Transmission Line Monitoring","authors":"Ayman Uddin Mahin, S. Islam, Md. Farhad Hossain","doi":"10.1109/SmartGridComm.2019.8909707","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2019.8909707","url":null,"abstract":"Power transmission monitoring and control are essential components of a smart grid. Power transmission capacity of an overhead transmission line is greatly dependent on the sag of the line. When the sag is lower, more power can be transmitted safely through the line. Due to this, real-time sag measurement and monitoring is important for effective transmission of power through the line. In this paper, a mmWave based sag measurement technique incorporating parabolic approximation is proposed which improves the accuracy of sag calculation. Impact of different system parameters on the calculated value of the sag is also investigated. The results show that the proposed method can achieve better accuracy even with smaller number of samples, though the accuracy degrades with error in angle of arrival.","PeriodicalId":377150,"journal":{"name":"2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124091833","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 : 2019-10-01DOI: 10.1109/SmartGridComm.2019.8909785
Weigao Sun, M. Zamani
This paper develops a nonparameteric Bayesian approach for the probabilistic representation of power system uncertainties involved with wind, solar and load power. The developed approach based on Dirichlet process mixture model (DPMM) analytically formulates the probability distributions of power uncertainties without prior knowledge of the number of mixture components. This provides a great improvement in probabilistic representation of power uncertainties as the proposed model can accommodate the ever growing power data. A computationally efficient VBI method is exploited to estimate the parameters involved with DPMM. Moreover, a novel truncated DPMM is designed to fit the special truncation feature of wind power distributions. The performance of proposed probabilistic representation approach for power uncertainties on real datasets of wind, solar and load power are validated and illustrated in the numerical simulations.
{"title":"A Nonparametric Bayesian Approach for Probabilistic Representation of Power Uncertainties","authors":"Weigao Sun, M. Zamani","doi":"10.1109/SmartGridComm.2019.8909785","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2019.8909785","url":null,"abstract":"This paper develops a nonparameteric Bayesian approach for the probabilistic representation of power system uncertainties involved with wind, solar and load power. The developed approach based on Dirichlet process mixture model (DPMM) analytically formulates the probability distributions of power uncertainties without prior knowledge of the number of mixture components. This provides a great improvement in probabilistic representation of power uncertainties as the proposed model can accommodate the ever growing power data. A computationally efficient VBI method is exploited to estimate the parameters involved with DPMM. Moreover, a novel truncated DPMM is designed to fit the special truncation feature of wind power distributions. The performance of proposed probabilistic representation approach for power uncertainties on real datasets of wind, solar and load power are validated and illustrated in the numerical simulations.","PeriodicalId":377150,"journal":{"name":"2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134412993","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 : 2019-10-01DOI: 10.1109/SmartGridComm.2019.8909794
L. Orda, O. Gehrke, H. Bindner
Aggregation and aggregators can play an important role in enabling utilization of end user flexibility for provision of system services. A key element to achieve this is to ensure efficient operation of the aggregator and the aggregator’s ICT infrastructure plays a key role in that. Overlay networks has the potential to contribute to efficiently manage the portfolio of controlled units. Overlay networks provide the technology to enable and support distributed and decentralized communication for use with applications in the smart grid, e.g. to locate flexibility in particular network areas or units with certain characteristics or a combination thereof. These applications of overlay networks are very different from traditional use and the approach to testing them has to be adapted to this situation. Since the application scenario is different from traditional overlay network applications, it is unclear how to test, compare and validate the functionality relevant for smart grids. In this paper we examine the topics involved with testing decentralized overlay networks for smart grid applications, for simulated networks, for scalability and as deployed in physical smart grid research networks. We examine how to deploy and manage experiments efficiently and coherently on the physical infrastructure, with the goal of minimizing testing and development turnaround time. A simulation framework is built to support both and used in a case study, where an overlay network application for optimized routing in a smart grid, is tested and validated.
{"title":"Testing Overlay Networks in a Smart Grid using Simulated and Physical Networks","authors":"L. Orda, O. Gehrke, H. Bindner","doi":"10.1109/SmartGridComm.2019.8909794","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2019.8909794","url":null,"abstract":"Aggregation and aggregators can play an important role in enabling utilization of end user flexibility for provision of system services. A key element to achieve this is to ensure efficient operation of the aggregator and the aggregator’s ICT infrastructure plays a key role in that. Overlay networks has the potential to contribute to efficiently manage the portfolio of controlled units. Overlay networks provide the technology to enable and support distributed and decentralized communication for use with applications in the smart grid, e.g. to locate flexibility in particular network areas or units with certain characteristics or a combination thereof. These applications of overlay networks are very different from traditional use and the approach to testing them has to be adapted to this situation. Since the application scenario is different from traditional overlay network applications, it is unclear how to test, compare and validate the functionality relevant for smart grids. In this paper we examine the topics involved with testing decentralized overlay networks for smart grid applications, for simulated networks, for scalability and as deployed in physical smart grid research networks. We examine how to deploy and manage experiments efficiently and coherently on the physical infrastructure, with the goal of minimizing testing and development turnaround time. A simulation framework is built to support both and used in a case study, where an overlay network application for optimized routing in a smart grid, is tested and validated.","PeriodicalId":377150,"journal":{"name":"2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133002771","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 : 2019-10-01DOI: 10.1109/SmartGridComm.2019.8909706
F. Luo, G. Ranzi, M. Kolokotroni
Smart home energy management is one of the main topics in demand side management. In the literature, many Home Energy Management Systems (HEMSs) are designed to optimally schedule the operation ofhousehold appliances. However, most of existing work ignores the lifestyle related requirements of the user on the appliances’ operational dependencies. In this paper, we propose a new household appliance commitment model that integrates both the operational constraints of individual appliances and the dependency constraints among them. In this sense, the proposed HEMS can more accurately reflect the end user’s lifestyle requirements. Several simulation scenarios are designed to validate the proposed HEMS.
{"title":"Household Appliance Commitment with Appliance Dependency Modelling","authors":"F. Luo, G. Ranzi, M. Kolokotroni","doi":"10.1109/SmartGridComm.2019.8909706","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2019.8909706","url":null,"abstract":"Smart home energy management is one of the main topics in demand side management. In the literature, many Home Energy Management Systems (HEMSs) are designed to optimally schedule the operation ofhousehold appliances. However, most of existing work ignores the lifestyle related requirements of the user on the appliances’ operational dependencies. In this paper, we propose a new household appliance commitment model that integrates both the operational constraints of individual appliances and the dependency constraints among them. In this sense, the proposed HEMS can more accurately reflect the end user’s lifestyle requirements. Several simulation scenarios are designed to validate the proposed HEMS.","PeriodicalId":377150,"journal":{"name":"2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132378843","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 : 2019-10-01DOI: 10.1109/SmartGridComm.2019.8909723
H. Schwefel, J. Rasmussen, R. Olsen, Henrik Ringgaard, N. Silva
Knowledge of currents in individual Low Voltage feeders of a secondary substation is interesting for distribution system operators for a variety of purposes. Deploying measurement devices at each feeder in each substation, however, can be costly. Due to the increasing deployment of Smart Meters, the knowledge about currents at each connected customer is in principle available. This paper proposes and evaluates an approach to determine the feeder currents taking into account the impact of measurement errors of Smart Meter measurements. The developed approach makes a rigorous derivation of confidence intervals for the calculated voltage and current values utilizing a subset of measured voltages and currents as input. The approach is applied to two realistic low voltage grids and the impact of measurement errors and missing smart meter measurements is quantitatively analyzed.
{"title":"Using Smart Meter measurements to manage accuracy of current calculations in LV feeders","authors":"H. Schwefel, J. Rasmussen, R. Olsen, Henrik Ringgaard, N. Silva","doi":"10.1109/SmartGridComm.2019.8909723","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2019.8909723","url":null,"abstract":"Knowledge of currents in individual Low Voltage feeders of a secondary substation is interesting for distribution system operators for a variety of purposes. Deploying measurement devices at each feeder in each substation, however, can be costly. Due to the increasing deployment of Smart Meters, the knowledge about currents at each connected customer is in principle available. This paper proposes and evaluates an approach to determine the feeder currents taking into account the impact of measurement errors of Smart Meter measurements. The developed approach makes a rigorous derivation of confidence intervals for the calculated voltage and current values utilizing a subset of measured voltages and currents as input. The approach is applied to two realistic low voltage grids and the impact of measurement errors and missing smart meter measurements is quantitatively analyzed.","PeriodicalId":377150,"journal":{"name":"2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131143849","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 : 2019-10-01DOI: 10.1109/SmartGridComm.2019.8909704
Lihan Fang, Fang Yang, Xuan Liu, Hailong Zhang, Jun Ye
In this paper, the spectral coexistence between the broadband power line communication system and the short wave radio system is analyzed. The variances of interference signals of each system over the other are obtained firstly, where the significant differences between the two networks are taken into consideration. And then, the global spectral efficiency of the two systems are derived under both uniform and non-uniform scenarios of power allocation among overlapped and non overlapped frequency spectrum. Moreover, some analytical and numerical evaluations of the global spectral efficiency effected by overlapped ratio and power allocation ratio are drawn to verify the proposed power allocation strategy.
{"title":"The Coexistence Between Broadband Power Line Communication and Shortwave Radio Systems with an Optimized Power Allocation Strategy","authors":"Lihan Fang, Fang Yang, Xuan Liu, Hailong Zhang, Jun Ye","doi":"10.1109/SmartGridComm.2019.8909704","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2019.8909704","url":null,"abstract":"In this paper, the spectral coexistence between the broadband power line communication system and the short wave radio system is analyzed. The variances of interference signals of each system over the other are obtained firstly, where the significant differences between the two networks are taken into consideration. And then, the global spectral efficiency of the two systems are derived under both uniform and non-uniform scenarios of power allocation among overlapped and non overlapped frequency spectrum. Moreover, some analytical and numerical evaluations of the global spectral efficiency effected by overlapped ratio and power allocation ratio are drawn to verify the proposed power allocation strategy.","PeriodicalId":377150,"journal":{"name":"2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131695999","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 : 2019-10-01DOI: 10.1109/SmartGridComm.2019.8909727
Yanan Sun, V. Wong, L. Lampe
This paper examines the prospect of using the energy storage systems (ESSs) in the distribution network for frequency regulation service under the two-settlement market mechanism. A bi-level problem is formulated to determine the bidding strategy for the ESS which provides regulation service for the system operator in the day-ahead and real-time markets, where the upper-level problem maximizes the ESS’ revenue from frequency regulation and the lower-level problem models the system operator’s market clearing. The problem is rendered applicable for the ESSs in the distribution network by addressing the power flow constraints. The uncertainty associated with other competitive ESSs and the system frequency deviations are incorporated by using scenarios for possible realizations. The formulated problem is transformed to a mixed-integer linear program by replacing the lower-level problem with the Karush-Kuhn-Tucker (KKT) optimality conditions and tackling the nonconvexity in the objective function based on strong duality. Case studies are carried out on an IEEE 37-bus test feeder by using market data from California Independent System Operator (CAISO). The results demonstrate that the ESS can increase its revenue from frequency regulation by using our proposed method to determine the bidding strategy.
{"title":"Market Participation of Energy Storage Systems for Frequency Regulation Service: A Bi-level Model","authors":"Yanan Sun, V. Wong, L. Lampe","doi":"10.1109/SmartGridComm.2019.8909727","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2019.8909727","url":null,"abstract":"This paper examines the prospect of using the energy storage systems (ESSs) in the distribution network for frequency regulation service under the two-settlement market mechanism. A bi-level problem is formulated to determine the bidding strategy for the ESS which provides regulation service for the system operator in the day-ahead and real-time markets, where the upper-level problem maximizes the ESS’ revenue from frequency regulation and the lower-level problem models the system operator’s market clearing. The problem is rendered applicable for the ESSs in the distribution network by addressing the power flow constraints. The uncertainty associated with other competitive ESSs and the system frequency deviations are incorporated by using scenarios for possible realizations. The formulated problem is transformed to a mixed-integer linear program by replacing the lower-level problem with the Karush-Kuhn-Tucker (KKT) optimality conditions and tackling the nonconvexity in the objective function based on strong duality. Case studies are carried out on an IEEE 37-bus test feeder by using market data from California Independent System Operator (CAISO). The results demonstrate that the ESS can increase its revenue from frequency regulation by using our proposed method to determine the bidding strategy.","PeriodicalId":377150,"journal":{"name":"2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133352720","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 : 2019-10-01DOI: 10.1109/SmartGridComm.2019.8909759
Elisabetta Biondi, R. Bruno
It is commonly recognised that the availability of more pervasive networks of public fast-charging stations is a key incentive for the market growth of electric vehicles (EVs). In order to reduce the huge capital investments that are needed for the deployment of such charging infrastructure, new types of charging facilities have been proposed, which allow to charge several EVs simultaneously by sharing the resources of a single charger over multiple co-located charging sockets. To characterise the behaviour of a single-charger multiple-socket (SCMS) system under stochastic EV charging demands, in this work we propose a continuous time and discrete state space Markov chain model. Our analytical model applies to scenarios in which the duration of charging periods is uncertain. This typically occurs in shared mobility systems (e.g., car sharing services) in which customers randomly arrive at the charging station to pick up available shared EVs. We examine two scenarios of increasing complexity. In the first one, customers can pick up only fully-charged EVs. In the second scenario, EVs can leave the station before the charging process is complete. Our numerical results assess the impact of station capacity (both physical space and grid connection) on the system performance from the perspective of both the customers and the infrastructure owner.
{"title":"A Performance Model for Single Charger Multi-Socket Charging Stations in Shared Mobility Systems","authors":"Elisabetta Biondi, R. Bruno","doi":"10.1109/SmartGridComm.2019.8909759","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2019.8909759","url":null,"abstract":"It is commonly recognised that the availability of more pervasive networks of public fast-charging stations is a key incentive for the market growth of electric vehicles (EVs). In order to reduce the huge capital investments that are needed for the deployment of such charging infrastructure, new types of charging facilities have been proposed, which allow to charge several EVs simultaneously by sharing the resources of a single charger over multiple co-located charging sockets. To characterise the behaviour of a single-charger multiple-socket (SCMS) system under stochastic EV charging demands, in this work we propose a continuous time and discrete state space Markov chain model. Our analytical model applies to scenarios in which the duration of charging periods is uncertain. This typically occurs in shared mobility systems (e.g., car sharing services) in which customers randomly arrive at the charging station to pick up available shared EVs. We examine two scenarios of increasing complexity. In the first one, customers can pick up only fully-charged EVs. In the second scenario, EVs can leave the station before the charging process is complete. Our numerical results assess the impact of station capacity (both physical space and grid connection) on the system performance from the perspective of both the customers and the infrastructure owner.","PeriodicalId":377150,"journal":{"name":"2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)","volume":"222 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123020274","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：