Pub Date : 2013-12-19DOI: 10.1109/SmartGridComm.2013.6688047
M. Zadeh, Reza Parseh, M. Molinas, K. Kansanen
Control and stability of power electronic converters is the main issue regarding the secure integration of distributed energy resources into the smart grid. In this paper, a centralized controller for a multi-converter system with a wireless communication channel in the feedback loop is modelled and simulated entirely. The wideband communication system is needed in order to guarantee the flexibility and robustness of the control system in both transient and dynamic performance. Therefore, it should be modelled together with the controller system as a communication-control system. The detailed model of voltage source converters (VSCs) is considered as well as communication system components in order to investigate the stability of power electronics systems in presence of a communication system in the feedback loop of the controller. The communication system elements such as noise, delay, and level of distortion due to quantization are selected to realistically model a practical situation.
{"title":"Modeling and simulation of wireless communication based robust controller for multi-converter systems","authors":"M. Zadeh, Reza Parseh, M. Molinas, K. Kansanen","doi":"10.1109/SmartGridComm.2013.6688047","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6688047","url":null,"abstract":"Control and stability of power electronic converters is the main issue regarding the secure integration of distributed energy resources into the smart grid. In this paper, a centralized controller for a multi-converter system with a wireless communication channel in the feedback loop is modelled and simulated entirely. The wideband communication system is needed in order to guarantee the flexibility and robustness of the control system in both transient and dynamic performance. Therefore, it should be modelled together with the controller system as a communication-control system. The detailed model of voltage source converters (VSCs) is considered as well as communication system components in order to investigate the stability of power electronics systems in presence of a communication system in the feedback loop of the controller. The communication system elements such as noise, delay, and level of distortion due to quantization are selected to realistically model a practical situation.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116147329","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.2013.6687967
Gaurav Sharma, Le Xie, P. Kumar
In this paper, we formulate and analyze the optimal set point problem of thermostatically controlled loads in a smart microgrid environment. From an aggregator's perspective, we show that flexibility can be extracted from the thermal inertia embedded in residential customers and be leveraged for maximum utilization of variable generation such as wind and solar. Through rigorous theoretical results we show that there is a fully decentralized mechanism for setting individual household temperature bounds while (a) maximum flexibility is extracted from inertial loads to balance the stochastic generation; (b) optimal staggering of demand responses of inertial loads can be achieved for smoothing out the overall power consumption; and (c) individual customers' comfort zone is taken into account. An easy-to-implement practical control setting is also introduced and tested using a simple model of wind and load distribution.
{"title":"Large population optimal demand response for thermostatically controlled inertial loads","authors":"Gaurav Sharma, Le Xie, P. Kumar","doi":"10.1109/SmartGridComm.2013.6687967","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6687967","url":null,"abstract":"In this paper, we formulate and analyze the optimal set point problem of thermostatically controlled loads in a smart microgrid environment. From an aggregator's perspective, we show that flexibility can be extracted from the thermal inertia embedded in residential customers and be leveraged for maximum utilization of variable generation such as wind and solar. Through rigorous theoretical results we show that there is a fully decentralized mechanism for setting individual household temperature bounds while (a) maximum flexibility is extracted from inertial loads to balance the stochastic generation; (b) optimal staggering of demand responses of inertial loads can be achieved for smoothing out the overall power consumption; and (c) individual customers' comfort zone is taken into account. An easy-to-implement practical control setting is also introduced and tested using a simple model of wind and load distribution.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"208 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115742434","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.2013.6688008
Xuelian Long, D. Tipper, Y. Qian
In the smart grid, collecting data from remote sensors and meters such as phasor measurement units (PMUs) can help ensure safe and reliable operation, avoiding overloads and outages. Since such data is related to critical operation of the power grid, appropriate security schemes should be utilized for secure communications among the components in the smart grid. This paper proposes a key management scheme for secure data communications in a smart grid system. It is a versatile key management scheme in that it can support unicast, multicast and broadcast communications. Moreover, the proposed scheme can be tailored to the hierarchical control system structure of the smart grid. A comparative security cost analysis is performed to illustrate that the proposed scheme can achieve efficient key management.
{"title":"An advanced key management scheme for secure smart grid communications","authors":"Xuelian Long, D. Tipper, Y. Qian","doi":"10.1109/SmartGridComm.2013.6688008","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6688008","url":null,"abstract":"In the smart grid, collecting data from remote sensors and meters such as phasor measurement units (PMUs) can help ensure safe and reliable operation, avoiding overloads and outages. Since such data is related to critical operation of the power grid, appropriate security schemes should be utilized for secure communications among the components in the smart grid. This paper proposes a key management scheme for secure data communications in a smart grid system. It is a versatile key management scheme in that it can support unicast, multicast and broadcast communications. Moreover, the proposed scheme can be tailored to the hierarchical control system structure of the smart grid. A comparative security cost analysis is performed to illustrate that the proposed scheme can achieve efficient key management.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"203 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115026428","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.2013.6688032
Lin Xiang, D. W. K. Ng, Woongsup Lee, R. Schober
Large-scale integration of intermittent wind energy can put a large burden on the utility company in balancing system demand and supply. As more and more dispersed wind energy suppliers connect to the system for electricity supply, the power system suffers from increased operation cost and risk caused by the discrepant interests of energy suppliers and the utility company. Energy suppliers may only concern about maximizing their own profits by pushing as much energy into the grid as possible, while neglecting the risk of steep ramps in wind generation. In this paper, exploiting the two-way communication capability in smart grid, we propose interactive ramp control of wind energy integration by aligning the individual pursuits of the energy suppliers and the utility company for social welfare maximization. The optimal wind energy integration and generator ramp control are investigated in an offline social welfare optimization problem assuming full knowledge of future wind energy and load demand. Moreover, the benefits of storage are exploited in our proposed storage-aided generation range adaption scheme to reduce the potential risk caused by inaccurate wind energy forecasts and the ramping latency of slow generators. Furthermore, a suboptimal storage-aided generation range adaption scheme with low computational complexity is presented for online control of wind integration when wind energy forecasts are unavailable. Our simulation results show that interactive ramp control is necessary to achieve efficient and secure wind energy integration and with the aid of storage, the power system's ramping capability can be improved at lower operation cost.
{"title":"Optimal storage-aided wind generation integration considering ramping requirements","authors":"Lin Xiang, D. W. K. Ng, Woongsup Lee, R. Schober","doi":"10.1109/SmartGridComm.2013.6688032","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6688032","url":null,"abstract":"Large-scale integration of intermittent wind energy can put a large burden on the utility company in balancing system demand and supply. As more and more dispersed wind energy suppliers connect to the system for electricity supply, the power system suffers from increased operation cost and risk caused by the discrepant interests of energy suppliers and the utility company. Energy suppliers may only concern about maximizing their own profits by pushing as much energy into the grid as possible, while neglecting the risk of steep ramps in wind generation. In this paper, exploiting the two-way communication capability in smart grid, we propose interactive ramp control of wind energy integration by aligning the individual pursuits of the energy suppliers and the utility company for social welfare maximization. The optimal wind energy integration and generator ramp control are investigated in an offline social welfare optimization problem assuming full knowledge of future wind energy and load demand. Moreover, the benefits of storage are exploited in our proposed storage-aided generation range adaption scheme to reduce the potential risk caused by inaccurate wind energy forecasts and the ramping latency of slow generators. Furthermore, a suboptimal storage-aided generation range adaption scheme with low computational complexity is presented for online control of wind integration when wind energy forecasts are unavailable. Our simulation results show that interactive ramp control is necessary to achieve efficient and secure wind energy integration and with the aid of storage, the power system's ramping capability can be improved at lower operation cost.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115265150","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.2013.6688004
G. Dán, K. Lui, Rehana Tabassum, Quanyan Zhu, K. Nahrstedt
Security in the smart grid is a challenge as an increasing number of sensors and measurement devices are connected to the power grid. General purpose security protocols are not suitable for providing data security to devices with limited memory, computational power and network connectivity. In this paper, we develop a secure and light-weight scalable security protocol that allows a power system operator (PO) to collect data from measurement devices (MDs) using data collectors (DCs). The security protocol trades off between computations and device memory requirements and provides flexible association between DC and MDs. These features allow data to be securely transferred from MDs to PO via mobile or untrustworthy DCs. We analyze the complexity and security of the protocol and validate its performance using experiments. Our results confirm that our proposed protocol collects data in a secure, fast and efficient manner.
{"title":"SELINDA: A secure, scalable and light-weight data collection protocol for smart grids","authors":"G. Dán, K. Lui, Rehana Tabassum, Quanyan Zhu, K. Nahrstedt","doi":"10.1109/SmartGridComm.2013.6688004","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6688004","url":null,"abstract":"Security in the smart grid is a challenge as an increasing number of sensors and measurement devices are connected to the power grid. General purpose security protocols are not suitable for providing data security to devices with limited memory, computational power and network connectivity. In this paper, we develop a secure and light-weight scalable security protocol that allows a power system operator (PO) to collect data from measurement devices (MDs) using data collectors (DCs). The security protocol trades off between computations and device memory requirements and provides flexible association between DC and MDs. These features allow data to be securely transferred from MDs to PO via mobile or untrustworthy DCs. We analyze the complexity and security of the protocol and validate its performance using experiments. Our results confirm that our proposed protocol collects data in a secure, fast and efficient manner.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"167 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122287833","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.2013.6688051
Mashud Hyder, Reduan H. Khan, K. Mahata, Jamil Y. Khan
This paper presents a conceptual design of a synchrophasor based protection and control scheme that uses an efficient communications scheme to timely predict the voltage instability point of a local bus. A voltage instability prediction scheme is proposed that fits a set of algebraic equations to the measured synchrophasor data and performs some efficient computations to predict when the load profile of the local bus will reach the critical point. To keep the communications load of the scheme minimum, the novel concept of adaptive synchrophasor reporting is introduced that dynamically switches between a normal and an expedited reporting rate based on the output of the prediction algorithm. The performance of the proposed protection scheme is demonstrated by using the New England 39-bus system. Also, the performance of the communications scheme is analyzed through an OPNET simulation model using an IEEE 802.16/WiMAX based wireless communications network.
{"title":"A predictive protection scheme based on adaptive synchrophasor communications","authors":"Mashud Hyder, Reduan H. Khan, K. Mahata, Jamil Y. Khan","doi":"10.1109/SmartGridComm.2013.6688051","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6688051","url":null,"abstract":"This paper presents a conceptual design of a synchrophasor based protection and control scheme that uses an efficient communications scheme to timely predict the voltage instability point of a local bus. A voltage instability prediction scheme is proposed that fits a set of algebraic equations to the measured synchrophasor data and performs some efficient computations to predict when the load profile of the local bus will reach the critical point. To keep the communications load of the scheme minimum, the novel concept of adaptive synchrophasor reporting is introduced that dynamically switches between a normal and an expedited reporting rate based on the output of the prediction algorithm. The performance of the proposed protection scheme is demonstrated by using the New England 39-bus system. Also, the performance of the communications scheme is analyzed through an OPNET simulation model using an IEEE 802.16/WiMAX based wireless communications network.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122256565","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.2013.6688013
Anya Castillo
Prior system restoration studies have focused on contingency response more than disaster recovery. We develop a stochastic mixed integer linear program to assess the impact of coordinating microgrids (μGs) as a blackstart resource after a natural disaster. Existing research has demonstrated the blackstart capabilities of microgrids operated in islanded mode. We focus on the potential for microgrids to provide blackstart services to the regional grid or RTO. We differentiate micro-grids from traditional blackstart through modeling uncertainties, decoupled real and reactive DC power flows, and generator ramping and capability curves. We use parameters based on actual system operation studies for blackstart capability and optimal scheduling. We conclude that operable microgrids can provide sustainable benefits regardless of the natural disaster occurrence realized.
{"title":"Microgrid provision of blackstart in disaster recovery for power system restoration","authors":"Anya Castillo","doi":"10.1109/SmartGridComm.2013.6688013","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6688013","url":null,"abstract":"Prior system restoration studies have focused on contingency response more than disaster recovery. We develop a stochastic mixed integer linear program to assess the impact of coordinating microgrids (μGs) as a blackstart resource after a natural disaster. Existing research has demonstrated the blackstart capabilities of microgrids operated in islanded mode. We focus on the potential for microgrids to provide blackstart services to the regional grid or RTO. We differentiate micro-grids from traditional blackstart through modeling uncertainties, decoupled real and reactive DC power flows, and generator ramping and capability curves. We use parameters based on actual system operation studies for blackstart capability and optimal scheduling. We conclude that operable microgrids can provide sustainable benefits regardless of the natural disaster occurrence realized.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129212744","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.2013.6687957
J. Leithon, Teng Joon Lim, Sumei Sun
We consider the problem of minimizing the electricity bill for a cellular base station powered by the smart grid and locally harvested renewable energy. We consider hourly-varying electricity prices made known one day ahead to the base station. We assume that the base station is equipped with a finite-capacity battery. We ensure that the instantaneous energy demand of the base station is satisfied and the constraints imposed by the battery are observed at any point in time. We propose several online energy management strategies that require only causal knowledge of the renewable energy generation and the power consumption profiles. We benchmark our proposed strategies against the optimal energy management policy which assumes perfect knowledge of all system parameters, e.g., base station energy usage and renewable energy generation, both in the past and the future. Simulation results show that the performance of our proposed online strategy deviates from the optimal by 2% at most.
{"title":"Online energy management strategies for base stations powered by the smart grid","authors":"J. Leithon, Teng Joon Lim, Sumei Sun","doi":"10.1109/SmartGridComm.2013.6687957","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6687957","url":null,"abstract":"We consider the problem of minimizing the electricity bill for a cellular base station powered by the smart grid and locally harvested renewable energy. We consider hourly-varying electricity prices made known one day ahead to the base station. We assume that the base station is equipped with a finite-capacity battery. We ensure that the instantaneous energy demand of the base station is satisfied and the constraints imposed by the battery are observed at any point in time. We propose several online energy management strategies that require only causal knowledge of the renewable energy generation and the power consumption profiles. We benchmark our proposed strategies against the optimal energy management policy which assumes perfect knowledge of all system parameters, e.g., base station energy usage and renewable energy generation, both in the past and the future. Simulation results show that the performance of our proposed online strategy deviates from the optimal by 2% at most.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114464805","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.2013.6687970
D. Dzung, Y. Pignolet
Communication networks for smart grids may consist of a mixture of legacy and new links using heterogeneous technologies, such as copper wires, optical fibers, wireless and powerline communication. If nodes are connected by two or more links, such as wireless and powerline, the sender of a message must decide on which link to transmit the next message. This paper considers the problem of dynamically selecting the link, based on success/failure (acknowledgement) of previous transmissions. The novel method is based on Markov (Gilbert-Elliott) channel models of lossy and time varying links. It specifies how to employ success/failure observations to rank the links optimally, with the objective function to maximize throughput. The theory of partially observable Markov decision problems (POMDP) provides the basic framework. We compare this new method with known linear learning strategies.
{"title":"Dynamic selection of wireless/powerline links using Markov Decision Processes","authors":"D. Dzung, Y. Pignolet","doi":"10.1109/SmartGridComm.2013.6687970","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6687970","url":null,"abstract":"Communication networks for smart grids may consist of a mixture of legacy and new links using heterogeneous technologies, such as copper wires, optical fibers, wireless and powerline communication. If nodes are connected by two or more links, such as wireless and powerline, the sender of a message must decide on which link to transmit the next message. This paper considers the problem of dynamically selecting the link, based on success/failure (acknowledgement) of previous transmissions. The novel method is based on Markov (Gilbert-Elliott) channel models of lossy and time varying links. It specifies how to employ success/failure observations to rank the links optimally, with the objective function to maximize throughput. The theory of partially observable Markov decision problems (POMDP) provides the basic framework. We compare this new method with known linear learning strategies.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123736042","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.2013.6688052
Ryohei Arai, Koji Yamamoto, M. Morikura
This paper proposes a game-theoretic framework for analyzing the decentralized and centralized control of smart grids based on the availability of information. For the demand response, demand-side actors in smart grids need to obtain various types of information via communication, e.g., a house with a photovoltaic (PV) power system acts efficiently based on the weather forecasts. In contrast, the information required for control is not always available because of communication failure. If information is unavailable, other control methods can cope with loss of the precise information. This paper introduces a comprehensive framework for a demand side management system for PV systems. According to the availability of information to predict the amount of PV power generation, we evaluate three control schemes, i.e., decentralized open-loop control, decentralized feedback control, and centralized control. Two types of decentralized control are formulated using a differential game, whereas centralized control is formulated as an optimal control problem. Considering the output of a PV system, each demand-side actor schedules their power consumption to minimize a cost function, including the disutility, electricity rates, and the supply-demand balance. Simulation results reveal that decentralized open-loop control is useful when information about the predicted data of power generation is available, whereas decentralized feedback control works efficiently when information is unavailable.
{"title":"Differential game-theoretic framework for a demand-side energy management system","authors":"Ryohei Arai, Koji Yamamoto, M. Morikura","doi":"10.1109/SmartGridComm.2013.6688052","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6688052","url":null,"abstract":"This paper proposes a game-theoretic framework for analyzing the decentralized and centralized control of smart grids based on the availability of information. For the demand response, demand-side actors in smart grids need to obtain various types of information via communication, e.g., a house with a photovoltaic (PV) power system acts efficiently based on the weather forecasts. In contrast, the information required for control is not always available because of communication failure. If information is unavailable, other control methods can cope with loss of the precise information. This paper introduces a comprehensive framework for a demand side management system for PV systems. According to the availability of information to predict the amount of PV power generation, we evaluate three control schemes, i.e., decentralized open-loop control, decentralized feedback control, and centralized control. Two types of decentralized control are formulated using a differential game, whereas centralized control is formulated as an optimal control problem. Considering the output of a PV system, each demand-side actor schedules their power consumption to minimize a cost function, including the disutility, electricity rates, and the supply-demand balance. Simulation results reveal that decentralized open-loop control is useful when information about the predicted data of power generation is available, whereas decentralized feedback control works efficiently when information is unavailable.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122272483","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：