Pub Date : 2013-12-19DOI: 10.1109/SmartGridComm.2013.6687945
Ran Wang, Yifan Li, Ping Wang, D. Niyato
The key elements in an indirect V2G system architecture are aggregators. They act as an interface between the grid and a group of plug-in hybrid electric vehicles (PHEVs). In this paper, we design an optimal vehicle to grid (V2G) aggregator to control the charging and frequency regulation processes of a group of PHEVs. We consider a problem that an aggregator has to minimize the overall cost of PHEV fleet in a multiple time slot horizon and meet the required battery level when PHEVs plug out. We adopt summation of PHEVs' expenditure in a finite number of time slots as our objective function, which is a quadratic optimization problem. A model predictive control based (MPC-based) PHEV charging and regulation algorithm is proposed to schedule the charging and regulation processes. Through the numerical experiments, we obtain the optimal charging and frequency regulation sequences for each PHEV, the effect of price prediction error on PHEV's cost as well as the impact of penalty factor to plug-out State of Charge (SOC). It is also shown that by taking the optimal control sequences, the PHEV owner can reduce his cost and depart with desired SOC.
{"title":"Design of a V2G aggregator to optimize PHEV charging and frequency regulation control","authors":"Ran Wang, Yifan Li, Ping Wang, D. Niyato","doi":"10.1109/SmartGridComm.2013.6687945","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6687945","url":null,"abstract":"The key elements in an indirect V2G system architecture are aggregators. They act as an interface between the grid and a group of plug-in hybrid electric vehicles (PHEVs). In this paper, we design an optimal vehicle to grid (V2G) aggregator to control the charging and frequency regulation processes of a group of PHEVs. We consider a problem that an aggregator has to minimize the overall cost of PHEV fleet in a multiple time slot horizon and meet the required battery level when PHEVs plug out. We adopt summation of PHEVs' expenditure in a finite number of time slots as our objective function, which is a quadratic optimization problem. A model predictive control based (MPC-based) PHEV charging and regulation algorithm is proposed to schedule the charging and regulation processes. Through the numerical experiments, we obtain the optimal charging and frequency regulation sequences for each PHEV, the effect of price prediction error on PHEV's cost as well as the impact of penalty factor to plug-out State of Charge (SOC). It is also shown that by taking the optimal control sequences, the PHEV owner can reduce his cost and depart with desired SOC.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116771106","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 : 2013-12-19DOI: 10.1109/SmartGridComm.2013.6687994
C. Rottondi, G. Verticale
The massive integration of renewable energy sources into the power grid ecosystem with the aim of reducing carbon emissions must cope with their intrinsically intermittent and unpredictable nature. Therefore, the grid must improve its capability of controlling the energy demand by adapting the power consumption curve to match the trend of green energy generation. This could be done by scheduling the activities of deferrable electrical appliances. However, communicating the users' needs about the usage of the electrical appliances leaks sensitive information about habits and lifestyles of the customers, thus arising privacy concerns. This paper proposes a privacy-preserving framework to allow the coordination of energy consumption without compromising the privacy of the users: the service requests generated by the domestic appliances are diveded in crypto-shares using Shamir Secret Sharing scheme and collected through an anonymous routing protocol based on Crowds by a set of schedulers, which schedule the requests operating directly on the shares. We discuss the security guarantees provided by our proposed infrastructure and evaluate its performance, comparing it with the optimal scheduling obtained through an Integer Linear Programming formulation.
{"title":"Privacy-friendly appliance load scheduling in smart grids","authors":"C. Rottondi, G. Verticale","doi":"10.1109/SmartGridComm.2013.6687994","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6687994","url":null,"abstract":"The massive integration of renewable energy sources into the power grid ecosystem with the aim of reducing carbon emissions must cope with their intrinsically intermittent and unpredictable nature. Therefore, the grid must improve its capability of controlling the energy demand by adapting the power consumption curve to match the trend of green energy generation. This could be done by scheduling the activities of deferrable electrical appliances. However, communicating the users' needs about the usage of the electrical appliances leaks sensitive information about habits and lifestyles of the customers, thus arising privacy concerns. This paper proposes a privacy-preserving framework to allow the coordination of energy consumption without compromising the privacy of the users: the service requests generated by the domestic appliances are diveded in crypto-shares using Shamir Secret Sharing scheme and collected through an anonymous routing protocol based on Crowds by a set of schedulers, which schedule the requests operating directly on the shares. We discuss the security guarantees provided by our proposed infrastructure and evaluate its performance, comparing it with the optimal scheduling obtained through an Integer Linear Programming formulation.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125918857","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 : 2013-12-19DOI: 10.1109/SmartGridComm.2013.6687983
Sardar Ali, Kui Wu, D. Marinakis
Power quality plays a critical role in the reliability of power networks. The monitoring of power quality, however, is a non-trivial task due to the high cost of measurement devices and the requirement on real-time responses. As a result, we need fast algorithms to estimate the power quality in various segments of a power network, using only a small number of measurement points. In this paper, we propose a maximum-entropy (MaxEnt) based approach to estimating power quality in smart microgrid. Compared to other existing methods such as Monte Carlo Expectation Maximization (MCEM), the MaxEnt based approach is much faster.
{"title":"A Maximum-Entropy based fast estimation of power quality for smart microgrid","authors":"Sardar Ali, Kui Wu, D. Marinakis","doi":"10.1109/SmartGridComm.2013.6687983","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6687983","url":null,"abstract":"Power quality plays a critical role in the reliability of power networks. The monitoring of power quality, however, is a non-trivial task due to the high cost of measurement devices and the requirement on real-time responses. As a result, we need fast algorithms to estimate the power quality in various segments of a power network, using only a small number of measurement points. In this paper, we propose a maximum-entropy (MaxEnt) based approach to estimating power quality in smart microgrid. Compared to other existing methods such as Monte Carlo Expectation Maximization (MCEM), the MaxEnt based approach is much faster.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123408331","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 : 2013-12-19DOI: 10.1109/SmartGridComm.2013.6688016
H. T. Nguyen, D. Nguyen, L. Le
In this paper, we develop a novel home energy management solution that aims to minimize the electricity cost and guarantee user comfort in terms of preferred home temperature. Specifically, we consider a typical household system with a Heat Ventilation and Air Conditioning (HVAC) system and various types of loads. We formulate the home energy scheduling problem considering generic thermal dynamics represented by a look-up table, thermal comfort constraints, and specific characteristics of different electric loads. The assumed generic thermal dynamics overcome limitations of other approximate equation-based thermal dynamics typically employed in the literature. However, the empirical thermal dynamics makes the energy scheduling problem a complicated non-linear optimization problem, which is difficult to tackle. Therefore, we develop a decomposed solution approach where the scheduling of HVAC system and other loads are optimized in two different steps. We show that the HVAC scheduling problem is a dynamic programming problem and develop an algorithm to find its optimal solution considering the user comfort constraint Given the optimal HVAC scheduling solution, the scheduling problem for remaining loads is transformed into a mixed integer program whose solution can be found by using an available optimization solver. We then present numerical results to demonstrate the effectiveness and correctness of our proposed solution and its relative performance compared with the conventional design.
{"title":"Home energy management with generic thermal dynamics and user temperature preference","authors":"H. T. Nguyen, D. Nguyen, L. Le","doi":"10.1109/SmartGridComm.2013.6688016","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6688016","url":null,"abstract":"In this paper, we develop a novel home energy management solution that aims to minimize the electricity cost and guarantee user comfort in terms of preferred home temperature. Specifically, we consider a typical household system with a Heat Ventilation and Air Conditioning (HVAC) system and various types of loads. We formulate the home energy scheduling problem considering generic thermal dynamics represented by a look-up table, thermal comfort constraints, and specific characteristics of different electric loads. The assumed generic thermal dynamics overcome limitations of other approximate equation-based thermal dynamics typically employed in the literature. However, the empirical thermal dynamics makes the energy scheduling problem a complicated non-linear optimization problem, which is difficult to tackle. Therefore, we develop a decomposed solution approach where the scheduling of HVAC system and other loads are optimized in two different steps. We show that the HVAC scheduling problem is a dynamic programming problem and develop an algorithm to find its optimal solution considering the user comfort constraint Given the optimal HVAC scheduling solution, the scheduling problem for remaining loads is transformed into a mixed integer program whose solution can be found by using an available optimization solver. We then present numerical results to demonstrate the effectiveness and correctness of our proposed solution and its relative performance compared with the conventional design.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125297848","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 : 2013-12-19DOI: 10.1109/SmartGridComm.2013.6688026
Xiang Lu, Wenye Wang, Jianfeng Ma, Limin Sun
The smart grid features a unique network architecture that consists of two coupled and interdependent networks, including the communication network and the power network. The communication network serves as the infrastructure of information disseminations to deliver control commands and device running states for the power network, whereas the power network supplies the energy to support the communication network. Nevertheless, besides such an reciprocal relationship, the two coupled networks also bring more threats of cascading failures to the smart grid against the system reliability, which will be more serious in the situation that communication devices are installed with back-up power supplies. In this paper, we present a detailed review of the system architecture of the smart grid and investigate the complicated evolution process of iterative failures' propagations between the coupled networks. Our analysis claim that there exists a potential domino affect to make original power faults be propagated in a wide area. To testify our analysis, we design and implement a co-simulation framework to integrate the communication network simulation with the power network simulation. Through experiments, we quantify two critical metrics to indicate the possibility of the potential fault spreading in the smart grid. Our work replays the complicated network behaviors implied in the coupled network architecture and provides preliminary statistical results towards a fine-grained mathematical model to describe the interesting phenomenon of iterative fault propagations.
{"title":"Domino of the smart grid: An empirical study of system behaviors in the interdependent network architecture","authors":"Xiang Lu, Wenye Wang, Jianfeng Ma, Limin Sun","doi":"10.1109/SmartGridComm.2013.6688026","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6688026","url":null,"abstract":"The smart grid features a unique network architecture that consists of two coupled and interdependent networks, including the communication network and the power network. The communication network serves as the infrastructure of information disseminations to deliver control commands and device running states for the power network, whereas the power network supplies the energy to support the communication network. Nevertheless, besides such an reciprocal relationship, the two coupled networks also bring more threats of cascading failures to the smart grid against the system reliability, which will be more serious in the situation that communication devices are installed with back-up power supplies. In this paper, we present a detailed review of the system architecture of the smart grid and investigate the complicated evolution process of iterative failures' propagations between the coupled networks. Our analysis claim that there exists a potential domino affect to make original power faults be propagated in a wide area. To testify our analysis, we design and implement a co-simulation framework to integrate the communication network simulation with the power network simulation. Through experiments, we quantify two critical metrics to indicate the possibility of the potential fault spreading in the smart grid. Our work replays the complicated network behaviors implied in the coupled network architecture and provides preliminary statistical results towards a fine-grained mathematical model to describe the interesting phenomenon of iterative fault propagations.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116132255","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 : 2013-12-19DOI: 10.1109/SmartGridComm.2013.6687955
Juho Markkula, J. Haapola
The paper conducts an evaluation of traffic volumes, delivery ratios, and delays under various demand response (DR) setups using two distinct wireless solutions for smart grid (SG) communications. The first solution considers public long term evolution (LTE) network and the second one considers cluster-based hybrid sensor-LTE network where wireless sensor network (WSN) clusterheads are also equipped with LTE remote terminal units. The DR scenarios reflect cases where certain percentages of end users take part in automated DR-based load balancing while the rest of the users resort to advanced metering infrastructure based energy monitoring. In the DR cases various setups of energy consumption monitoring and load-balancing feedback are simulated. The purpose is to identify the limits of reporting and feedback intervals of the two communications technology setups for DR operations. DR and its management are becoming more important as distributed energy generation becomes more popular in households due to reducing prices of small-scale renewable energy generation equipment. The use of public telecommunications infrastructure is a good candidate for enabling DR communications over SGs, but it is becoming more congested by the increasing mobile data usage of consumers. The results show that both of the solutions have their advantages, LTE communications generally providing a higher delivery ratio whereas, surprisingly, hybrid sensor-LTE communications generally provides lower uplink delay.
{"title":"LTE and hybrid sensor-LTE network performances in smart grid demand response scenarios","authors":"Juho Markkula, J. Haapola","doi":"10.1109/SmartGridComm.2013.6687955","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6687955","url":null,"abstract":"The paper conducts an evaluation of traffic volumes, delivery ratios, and delays under various demand response (DR) setups using two distinct wireless solutions for smart grid (SG) communications. The first solution considers public long term evolution (LTE) network and the second one considers cluster-based hybrid sensor-LTE network where wireless sensor network (WSN) clusterheads are also equipped with LTE remote terminal units. The DR scenarios reflect cases where certain percentages of end users take part in automated DR-based load balancing while the rest of the users resort to advanced metering infrastructure based energy monitoring. In the DR cases various setups of energy consumption monitoring and load-balancing feedback are simulated. The purpose is to identify the limits of reporting and feedback intervals of the two communications technology setups for DR operations. DR and its management are becoming more important as distributed energy generation becomes more popular in households due to reducing prices of small-scale renewable energy generation equipment. The use of public telecommunications infrastructure is a good candidate for enabling DR communications over SGs, but it is becoming more congested by the increasing mobile data usage of consumers. The results show that both of the solutions have their advantages, LTE communications generally providing a higher delivery ratio whereas, surprisingly, hybrid sensor-LTE communications generally provides lower uplink delay.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122360946","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 : 2013-12-19DOI: 10.1109/SmartGridComm.2013.6687995
Sören Finster
Smart Metering is one of the most important services within the Smart Grid. But by threatening the privacy of customers, its introduction poses also one of the most discussed challenges of the Smart grid. To overcome this challenge, privacy-aware Smart Metering protocols are necessary. But the limited capabilities of the Smart Metering infrastructure has to be taken into account when specifying Smart Metering protocols. In this paper, we propose Smart Meter Speed Dating (SMSD), a privacy-aware Smart Metering protocol with very low requirements and complexity. It uses rapidly changing pairings of peers to remove privacy relevant information from meter readings. We describe SMSD and provide an evaluation and anlyzation of provided privacy which shows its applicability as a privacy-aware Smart Metering protocol.
{"title":"Smart Meter Speed Dating, short-term relationships for improved privacy in Smart Metering","authors":"Sören Finster","doi":"10.1109/SmartGridComm.2013.6687995","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6687995","url":null,"abstract":"Smart Metering is one of the most important services within the Smart Grid. But by threatening the privacy of customers, its introduction poses also one of the most discussed challenges of the Smart grid. To overcome this challenge, privacy-aware Smart Metering protocols are necessary. But the limited capabilities of the Smart Metering infrastructure has to be taken into account when specifying Smart Metering protocols. In this paper, we propose Smart Meter Speed Dating (SMSD), a privacy-aware Smart Metering protocol with very low requirements and complexity. It uses rapidly changing pairings of peers to remove privacy relevant information from meter readings. We describe SMSD and provide an evaluation and anlyzation of provided privacy which shows its applicability as a privacy-aware Smart Metering protocol.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126983162","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 : 2013-12-19DOI: 10.1109/SmartGridComm.2013.6688000
Anas AlMajali, E. B. Rice, A. Viswanathan, K. Tan, C. Neuman
This paper presents a systems analysis approach to characterizing the risk of a Smart Grid to a load-drop attack. A characterization of the risk is necessary for the design of detection and remediation strategies to address the consequences of such attacks. Using concepts from systems health management and system engineering, this work (a) first identifies metrics that can be used to generate constraints for security features, and (b) lays out an end-to-end integrated methodology using separate network and power simulations to assess system risk. We demonstrate our approach by performing a systems-style analysis of a load-drop attack implemented over the AMI subsystem and targeted at destabilizing the underlying power grid.
{"title":"A systems approach to analysing cyber-physical threats in the Smart Grid","authors":"Anas AlMajali, E. B. Rice, A. Viswanathan, K. Tan, C. Neuman","doi":"10.1109/SmartGridComm.2013.6688000","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6688000","url":null,"abstract":"This paper presents a systems analysis approach to characterizing the risk of a Smart Grid to a load-drop attack. A characterization of the risk is necessary for the design of detection and remediation strategies to address the consequences of such attacks. Using concepts from systems health management and system engineering, this work (a) first identifies metrics that can be used to generate constraints for security features, and (b) lays out an end-to-end integrated methodology using separate network and power simulations to assess system risk. We demonstrate our approach by performing a systems-style analysis of a load-drop attack implemented over the AMI subsystem and targeted at destabilizing the underlying power grid.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126395740","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 : 2013-12-19DOI: 10.1109/SmartGridComm.2013.6687952
Yashen Lin, P. Barooah, Sean P. Meyn
With the introduction of volatile renewable energy sources into the grid, the need for inexpensive ancillary service increases. We propose a method to provide ancillary service by using the flexibility of demand in commercial building HVAC (Heating, Ventilation, Air-Conditioning) systems. In particular, we show how a regulation command transmitted by a balancing authority can be tracked by varying the cooling demand in commercial buildings in real-time. A key idea here is the bandwidth limitation of the regulation signal, which allows the building's HVAC system to provide this service with little effect on the indoor climate. The proposed control scheme can be applied on any building with a VAV (Variable Air Volume) system and on-site chiller(s). Simple calculations show that the commercial buildings in the U.S. can provide 47 GW of regulation reserves in the frequency band f ∈ [1=(60 min);1=(3 min)] with virtually no change in the indoor climate, while meeting current ISO/RTO standards for regulation.
{"title":"Low-frequency power-grid ancillary services from commercial building HVAC systems","authors":"Yashen Lin, P. Barooah, Sean P. Meyn","doi":"10.1109/SmartGridComm.2013.6687952","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6687952","url":null,"abstract":"With the introduction of volatile renewable energy sources into the grid, the need for inexpensive ancillary service increases. We propose a method to provide ancillary service by using the flexibility of demand in commercial building HVAC (Heating, Ventilation, Air-Conditioning) systems. In particular, we show how a regulation command transmitted by a balancing authority can be tracked by varying the cooling demand in commercial buildings in real-time. A key idea here is the bandwidth limitation of the regulation signal, which allows the building's HVAC system to provide this service with little effect on the indoor climate. The proposed control scheme can be applied on any building with a VAV (Variable Air Volume) system and on-site chiller(s). Simple calculations show that the commercial buildings in the U.S. can provide 47 GW of regulation reserves in the frequency band f ∈ [1=(60 min);1=(3 min)] with virtually no change in the indoor climate, while meeting current ISO/RTO standards for regulation.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121942454","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 : 2013-12-19DOI: 10.1109/SmartGridComm.2013.6687969
Fumihiro Inoue, M. Morikura, T. Nishio, Koji Yamamoto, F. Nuno, T. Sugiyama
The problem of coexistence between IEEE 802.11g based wireless LANs (WLANs) and IEEE 802.15.4 based wireless sensor networks (WSNs) in the 2.4GHz band is an important issue for the operation of a home energy management system (HEMS) for smart grids. This paper proposes a novel coexistence scheme which is called a distributed active channel reservation for coexistence (DACROS) scheme to solve this problem. This scheme employs a hybrid-station (H-STA) that possesses two types of network device functions. The scheme improves the data transmission quality of the WSN devices which transmit energy management information such as power consumption. The proposed DACROS scheme uses the request-to-send (RTS) and clear-to-send (CTS) frames. These WLAN control frames are used exclusively to assign WSN system traffic resources. Theoretical analysis and computer simulation results show that the DACROS scheme decreases the beacon loss rate of the WSN to less than 1% when the WLAN system consists of ten stations (STAs) under saturated traffic conditions.
{"title":"Novel coexistence scheme between wireless sensor network and wireless LAN for HEMS","authors":"Fumihiro Inoue, M. Morikura, T. Nishio, Koji Yamamoto, F. Nuno, T. Sugiyama","doi":"10.1109/SmartGridComm.2013.6687969","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6687969","url":null,"abstract":"The problem of coexistence between IEEE 802.11g based wireless LANs (WLANs) and IEEE 802.15.4 based wireless sensor networks (WSNs) in the 2.4GHz band is an important issue for the operation of a home energy management system (HEMS) for smart grids. This paper proposes a novel coexistence scheme which is called a distributed active channel reservation for coexistence (DACROS) scheme to solve this problem. This scheme employs a hybrid-station (H-STA) that possesses two types of network device functions. The scheme improves the data transmission quality of the WSN devices which transmit energy management information such as power consumption. The proposed DACROS scheme uses the request-to-send (RTS) and clear-to-send (CTS) frames. These WLAN control frames are used exclusively to assign WSN system traffic resources. Theoretical analysis and computer simulation results show that the DACROS scheme decreases the beacon loss rate of the WSN to less than 1% when the WLAN system consists of ten stations (STAs) under saturated traffic conditions.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134422344","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：