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.2013.6687992
Lei Yang, Fengjun Li
The core of the smart grid relies on the ability of transmitting realtime metering data and control commands efficiently and reliably. Secure in-network data aggregation approaches have been introduced to fulfill the goal in smart grid neighborhood area networks (NANs) by aggregating the data on-the-fly via intermediate meters. To protect users' privacy from being learnt from the fine-grained consumption data by the utilities or other third-party services, homomorphic encryption schemes have been adopted. Hence, intermediate smart meters participate in the aggregation without seeing any individual reading, nor intermediate or final aggregation results. However, the malleable property of homomorphic encryption operations makes it difficult to identify misbehaving meters from which false data can be injected through accidental errors or malicious attacks. In this paper, we propose an efficient anomaly detection scheme based on dynamic grouping and data re-encryption, which is compatible with existing secure in-network aggregation schemes, to detect falsified data injected by malfunctioning and malicious meters.
{"title":"Detecting false data injection in smart grid in-network aggregation","authors":"Lei Yang, Fengjun Li","doi":"10.1109/SmartGridComm.2013.6687992","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6687992","url":null,"abstract":"The core of the smart grid relies on the ability of transmitting realtime metering data and control commands efficiently and reliably. Secure in-network data aggregation approaches have been introduced to fulfill the goal in smart grid neighborhood area networks (NANs) by aggregating the data on-the-fly via intermediate meters. To protect users' privacy from being learnt from the fine-grained consumption data by the utilities or other third-party services, homomorphic encryption schemes have been adopted. Hence, intermediate smart meters participate in the aggregation without seeing any individual reading, nor intermediate or final aggregation results. However, the malleable property of homomorphic encryption operations makes it difficult to identify misbehaving meters from which false data can be injected through accidental errors or malicious attacks. In this paper, we propose an efficient anomaly detection scheme based on dynamic grouping and data re-encryption, which is compatible with existing secure in-network aggregation schemes, to detect falsified data injected by malfunctioning and malicious meters.","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":"125217531","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.2013.6688051
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.2013.6688004
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.2013.6687947
Mohammad R. Vedady Moghadam, Rui Zhang, Richard T. B. Ma
Frequency control is essential to maintain the stability and reliability of power systems. Traditionally, generation side controllers have been used to stabilize the system frequency upon contingencies; however, they incur high operational cost. Enabling demand response in next generation smart grids is thus a promising alternative to reduce the power system dependency on expensive controllers. In particular, demand response of distributed electric vehicles (EVs) via controlled charging/discharging power from/to the grid can be an effective method to help stabilize the system frequency. In this paper, we propose a new distributed frequency control algorithm for EVs with randomized responses and characterize its performance in a large-scale dynamic power system in terms of the mean of the system frequency over time, the mean frequency recovery time, and the expected number of responded EVs upon a contingency. Finally, we validate our analysis via simulations under a practical power system setup.
{"title":"Randomized response electric vehicles for distributed frequency control in smart grid","authors":"Mohammad R. Vedady Moghadam, Rui Zhang, Richard T. B. Ma","doi":"10.1109/SMARTGRIDCOMM.2013.6687947","DOIUrl":"https://doi.org/10.1109/SMARTGRIDCOMM.2013.6687947","url":null,"abstract":"Frequency control is essential to maintain the stability and reliability of power systems. Traditionally, generation side controllers have been used to stabilize the system frequency upon contingencies; however, they incur high operational cost. Enabling demand response in next generation smart grids is thus a promising alternative to reduce the power system dependency on expensive controllers. In particular, demand response of distributed electric vehicles (EVs) via controlled charging/discharging power from/to the grid can be an effective method to help stabilize the system frequency. In this paper, we propose a new distributed frequency control algorithm for EVs with randomized responses and characterize its performance in a large-scale dynamic power system in terms of the mean of the system frequency over time, the mean frequency recovery time, and the expected number of responded EVs upon a contingency. Finally, we validate our analysis via simulations under a practical power system setup.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"146 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":"116472943","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.2013.6688017
Adam Cahn, Juan Hoyos, Matthew Hulse, Eric Keller
Energy communication networks (ECNs) play an integral role in electrical substations. Substations host many Intelligent Electronic Devices (IEDs) that monitor the state of the electricity infrastructure. This critical data is packaged and transmitted between multiple IEDs for proper system monitoring and control. The modern network that interconnects IEDs, while a significant improvement over the historic serial interconnection, has many challenges which have yet to be addressed - ranging from setup complexity to security policies. In this paper we propose that software-defined networking can alleviate many of today's problems and create a network which can evolve with changing technologies and needs. We demonstrate an auto-configuring substation network which eliminates many substation network management issues. Our prototype is built using a Ryu-based, software-defined network controller and tested with actual IEDs used in substations. We also discuss how our software-defined energy communication network (SDECN) architecture not only solves problems of today, but enables substation networks to easily evolve with the rapid evolution of the smart grid.
{"title":"Software-defined energy communication networks: From substation automation to future smart grids","authors":"Adam Cahn, Juan Hoyos, Matthew Hulse, Eric Keller","doi":"10.1109/SmartGridComm.2013.6688017","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6688017","url":null,"abstract":"Energy communication networks (ECNs) play an integral role in electrical substations. Substations host many Intelligent Electronic Devices (IEDs) that monitor the state of the electricity infrastructure. This critical data is packaged and transmitted between multiple IEDs for proper system monitoring and control. The modern network that interconnects IEDs, while a significant improvement over the historic serial interconnection, has many challenges which have yet to be addressed - ranging from setup complexity to security policies. In this paper we propose that software-defined networking can alleviate many of today's problems and create a network which can evolve with changing technologies and needs. We demonstrate an auto-configuring substation network which eliminates many substation network management issues. Our prototype is built using a Ryu-based, software-defined network controller and tested with actual IEDs used in substations. We also discuss how our software-defined energy communication network (SDECN) architecture not only solves problems of today, but enables substation networks to easily evolve with the rapid evolution of the smart grid.","PeriodicalId":136434,"journal":{"name":"2013 IEEE International Conference on Smart Grid Communications (SmartGridComm)","volume":"3 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":"134642110","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}
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