Pub Date : 2013-12-19DOI: 10.1109/SmartGridComm.2013.6687988
Vibha Kathuria, Gokulraj Mohanasundaram, Samir R Das
The automated metering infrastructure in a smart grid system requires a network connecting the smart meters in the households back to the utility's operation desk. The network of choice is a wireless mesh network. While there has been some consensus on the choice of the link layer (Zigbee/IEEE 802.15.4-based or similar), the choice of the routing protocol remains an open issue. We evaluate a recently developed protocol in the IETF, called RPL (Routing Protocol for Low Power and Lossy Networks) for its suitability for large-scale smart meter networks. Via a detailed and realistic simulation study using a standard packet-level simulator, Qualnet, we show that RPL significantly outperforms a commonly used routing protocol for ad hoc/mesh networks, AODV, when traffic is distributed such as congestions are likely. We use Zigbee/IEEE 802.15.4 at the 915 Mhz band for the link layer and promote the suitability of its `non-beacon enabled' mode for smart meter networks. Overall, our work demonstrates the performance and scalability of RPL.
{"title":"A simulation study of routing protocols for smart meter networks","authors":"Vibha Kathuria, Gokulraj Mohanasundaram, Samir R Das","doi":"10.1109/SmartGridComm.2013.6687988","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6687988","url":null,"abstract":"The automated metering infrastructure in a smart grid system requires a network connecting the smart meters in the households back to the utility's operation desk. The network of choice is a wireless mesh network. While there has been some consensus on the choice of the link layer (Zigbee/IEEE 802.15.4-based or similar), the choice of the routing protocol remains an open issue. We evaluate a recently developed protocol in the IETF, called RPL (Routing Protocol for Low Power and Lossy Networks) for its suitability for large-scale smart meter networks. Via a detailed and realistic simulation study using a standard packet-level simulator, Qualnet, we show that RPL significantly outperforms a commonly used routing protocol for ad hoc/mesh networks, AODV, when traffic is distributed such as congestions are likely. We use Zigbee/IEEE 802.15.4 at the 915 Mhz band for the link layer and promote the suitability of its `non-beacon enabled' mode for smart meter networks. Overall, our work demonstrates the performance and scalability of RPL.","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":"120997325","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.2013.6688010
K. Nakayama, Changhong Zhao, L. Bic, M. Dillencourt, J. Brouwer
We formulate an Optimal Real-Time Power Flow (ORPF) problem that integrates renwable energy generation and energy storage. In the ORPF problem, we seek to minimize the costs of energy storage and of power generation from fossil fuel that are required to balance the loads and generation from renewable sources. We present a novel decentralized algorithm for this problem, using tie-set graph theory. Tie-set graph theory significantly reduces the complexity of the ORPF problem by dividing a power network into a set of independent loops referred to as “tie-sets.” Simulation results demonstrate real-time power production responses and flow controls that lead to reliable use of battery systems and reduce the cost of using fossil fuel.
{"title":"Distributed Real-Time Power Flow control with renewable integration","authors":"K. Nakayama, Changhong Zhao, L. Bic, M. Dillencourt, J. Brouwer","doi":"10.1109/SmartGridComm.2013.6688010","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6688010","url":null,"abstract":"We formulate an Optimal Real-Time Power Flow (ORPF) problem that integrates renwable energy generation and energy storage. In the ORPF problem, we seek to minimize the costs of energy storage and of power generation from fossil fuel that are required to balance the loads and generation from renewable sources. We present a novel decentralized algorithm for this problem, using tie-set graph theory. Tie-set graph theory significantly reduces the complexity of the ORPF problem by dividing a power network into a set of independent loops referred to as “tie-sets.” Simulation results demonstrate real-time power production responses and flow controls that lead to reliable use of battery systems and reduce the cost of using fossil fuel.","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":"123122504","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.2013.6687989
O. Vukovic, G. Dán
Distributed state estimation will play a central role in the efficient and reliable operation of interconnected power systems. Therefore, its security is of major concern. In this work we show that an attacker that compromises a single control center in an interconnected system could launch a denial of service attack against state-of-the-art distributed state estimation by injecting false data, and consequently, it could blind the entire system. We propose a fully distributed attack detection scheme based on local measurements to detect such a denial of service attack. We then propose a fully distributed attack localization scheme that relies on the regions' beliefs about the attack location, and performs inference on the power system topology to identify the most likely attack location. We validate both algorithms on the IEEE 118 bus power system.
{"title":"Detection and localization of targeted attacks on fully distributed power system state estimation","authors":"O. Vukovic, G. Dán","doi":"10.1109/SmartGridComm.2013.6687989","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6687989","url":null,"abstract":"Distributed state estimation will play a central role in the efficient and reliable operation of interconnected power systems. Therefore, its security is of major concern. In this work we show that an attacker that compromises a single control center in an interconnected system could launch a denial of service attack against state-of-the-art distributed state estimation by injecting false data, and consequently, it could blind the entire system. We propose a fully distributed attack detection scheme based on local measurements to detect such a denial of service attack. We then propose a fully distributed attack localization scheme that relies on the regions' beliefs about the attack location, and performs inference on the power system topology to identify the most likely attack location. We validate both algorithms on the IEEE 118 bus power system.","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":"132443673","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.2013.6688035
A. S. Akyurek, B. Torre, T. Simunic
The need for a smarter grid is emerging with the increase of peak demand and the integration of renewable resources. A great solution for peak shifting and renewable energy smoothing is through the usage of energy storage devices. This paper focuses on the energy storage power control problem in small to medium sized power distribution systems with loads, energy storage devices and renewable resources connected to the grid. To the best of our knowledge, solutions in this area either focus on the optimization problem with a convex optimization solver, that have high worst-case complexities or on sub-optimal heuristics. This paper provides a low-complexity solution, ECO-DAC, which is optimal in terms of minimizing a multi-tier cost function. We show on multiple case studies that it is possible to save up to 21% in costs for electricity drawn from the grid, compared to the no-battery case.
{"title":"ECO-DAC Energy Control over Divide and Control","authors":"A. S. Akyurek, B. Torre, T. Simunic","doi":"10.1109/SmartGridComm.2013.6688035","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6688035","url":null,"abstract":"The need for a smarter grid is emerging with the increase of peak demand and the integration of renewable resources. A great solution for peak shifting and renewable energy smoothing is through the usage of energy storage devices. This paper focuses on the energy storage power control problem in small to medium sized power distribution systems with loads, energy storage devices and renewable resources connected to the grid. To the best of our knowledge, solutions in this area either focus on the optimization problem with a convex optimization solver, that have high worst-case complexities or on sub-optimal heuristics. This paper provides a low-complexity solution, ECO-DAC, which is optimal in terms of minimizing a multi-tier cost function. We show on multiple case studies that it is possible to save up to 21% in costs for electricity drawn from the grid, compared to the no-battery case.","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":"130743060","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.2013.6687941
Yang Weng, R. Negi, M. Ilić
This paper is motivated by major needs for fast and accurate on-line state estimation (SE) in the emerging electric energy systems, due to recent penetration of distributed green energy, distributed intelligence, and plug-in electric vehicles. Different from the traditional deterministic approach, this paper uses a probabilistic graphical model to account for these new uncertainties by efficient distributed state estimation. The proposed graphical model is able to discover and analyze unstructured information and it has been successfully deployed in statistical physics, computer vision, error control coding, and artificial intelligence. Specifically, this paper shows how to model the traditional power system state estimation problem in a probabilistic manner. Mature graphical model inference tools, such as belief propagation and variational belief propagation, are subsequently applied. Simulation results demonstrate better performance of SE over the traditional deterministic approach in terms of accuracy and computational time. Notably, the near-linear computational time of the proposed approach enables the scalability of state estimation which is crucial in the operation of future large-scale smart grid.
{"title":"Graphical model for state estimation in electric power systems","authors":"Yang Weng, R. Negi, M. Ilić","doi":"10.1109/SmartGridComm.2013.6687941","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6687941","url":null,"abstract":"This paper is motivated by major needs for fast and accurate on-line state estimation (SE) in the emerging electric energy systems, due to recent penetration of distributed green energy, distributed intelligence, and plug-in electric vehicles. Different from the traditional deterministic approach, this paper uses a probabilistic graphical model to account for these new uncertainties by efficient distributed state estimation. The proposed graphical model is able to discover and analyze unstructured information and it has been successfully deployed in statistical physics, computer vision, error control coding, and artificial intelligence. Specifically, this paper shows how to model the traditional power system state estimation problem in a probabilistic manner. Mature graphical model inference tools, such as belief propagation and variational belief propagation, are subsequently applied. Simulation results demonstrate better performance of SE over the traditional deterministic approach in terms of accuracy and computational time. Notably, the near-linear computational time of the proposed approach enables the scalability of state estimation which is crucial in the operation of future large-scale smart 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":"134040616","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.2013.6688038
M. Alizadeh, A. Scaglione, G. Kesidis
In this paper, we develop an integrated decision making framework for the planning and real-time control decisions made by a Load Serving Entity (LSE) providing ancillary services to the wholesale market. Due to the multi-settlement structure of the energy market, planning decisions by the LSE are naturally made at multiple temporal stages. The tight interdependence among decisions demands an integrated approach to minimize the overall costs of operation. In order to model the dynamics of the load at large-scales when making these decisions, we propose a classification-based model that captures the effect of scheduling decisions made for individual appliances at aggregate levels, with reasonable effort. To provide a tangible example of how this load aggregation technique can be applied, we study the case of Electric Vehicle (EV) charging in detail.
{"title":"Scalable model predictive control of demand for ancillary services","authors":"M. Alizadeh, A. Scaglione, G. Kesidis","doi":"10.1109/SmartGridComm.2013.6688038","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6688038","url":null,"abstract":"In this paper, we develop an integrated decision making framework for the planning and real-time control decisions made by a Load Serving Entity (LSE) providing ancillary services to the wholesale market. Due to the multi-settlement structure of the energy market, planning decisions by the LSE are naturally made at multiple temporal stages. The tight interdependence among decisions demands an integrated approach to minimize the overall costs of operation. In order to model the dynamics of the load at large-scales when making these decisions, we propose a classification-based model that captures the effect of scheduling decisions made for individual appliances at aggregate levels, with reasonable effort. To provide a tangible example of how this load aggregation technique can be applied, we study the case of Electric Vehicle (EV) charging in detail.","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":"129445856","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.2013.6687978
T. Otani, M. Miyashita
IEC 62056 for upper-layer protocols and IEEE 802.15.4g for communication infrastructure are promising means of advanced metering infrastructure (AMI) in Japan. However, since the characteristics of a communication system based on these combined technologies have yet to be identified, this paper gives the communication failure rates and latency acquired by calculations. In addition, the calculation results suggest some adequate AMI configurations, and show its extensibility in consideration of the usage environment.
{"title":"Characteristics of AMI using DLMS/COSEM and IEEE 802.15.4g multi-hop wireless communication","authors":"T. Otani, M. Miyashita","doi":"10.1109/SmartGridComm.2013.6687978","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6687978","url":null,"abstract":"IEC 62056 for upper-layer protocols and IEEE 802.15.4g for communication infrastructure are promising means of advanced metering infrastructure (AMI) in Japan. However, since the characteristics of a communication system based on these combined technologies have yet to be identified, this paper gives the communication failure rates and latency acquired by calculations. In addition, the calculation results suggest some adequate AMI configurations, and show its extensibility in consideration of the usage environment.","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":"134218944","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.2013.6688007
Seung-Hyun Seo, Xiaoyu Ding, E. Bertino
Smart grid technology can improve environmental sustainability and increase the efficiency of energy management. Because of these important benefits, conventional power grid systems are being replaced with new, advanced smart grid systems utilizing Advanced Metering Infrastructures (AMIs). These smart grid systems rely on current information and communication technology (ICT) to provide enhanced services to both users and utility companies. However, the increased use of ICT makes smart grid systems vulnerable to cyber-attacks, such as spoofing, eavesdropping and man-in-the-middle attacks. A major security concern is related to secure data transmission between the smart meters and the utility. Encryption techniques are typically used for such purpose. However the deployment of encryption techniques in an AMI requires efficient and scalable approaches for managing encryption keys. In this paper, we propose an efficient encryption key management mechanism for end-to-end security in the AMI. By applying certificateless public key cryptography for smart meter key management, our approach eliminates certificate management overhead at the utility. Moreover, our mechanism is practical, because it does not require any extra hardware for authentication of the smart meters.
{"title":"Encryption key management for secure communication in smart advanced metering infrastructures","authors":"Seung-Hyun Seo, Xiaoyu Ding, E. Bertino","doi":"10.1109/SmartGridComm.2013.6688007","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6688007","url":null,"abstract":"Smart grid technology can improve environmental sustainability and increase the efficiency of energy management. Because of these important benefits, conventional power grid systems are being replaced with new, advanced smart grid systems utilizing Advanced Metering Infrastructures (AMIs). These smart grid systems rely on current information and communication technology (ICT) to provide enhanced services to both users and utility companies. However, the increased use of ICT makes smart grid systems vulnerable to cyber-attacks, such as spoofing, eavesdropping and man-in-the-middle attacks. A major security concern is related to secure data transmission between the smart meters and the utility. Encryption techniques are typically used for such purpose. However the deployment of encryption techniques in an AMI requires efficient and scalable approaches for managing encryption keys. In this paper, we propose an efficient encryption key management mechanism for end-to-end security in the AMI. By applying certificateless public key cryptography for smart meter key management, our approach eliminates certificate management overhead at the utility. Moreover, our mechanism is practical, because it does not require any extra hardware for authentication of the smart meters.","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":"122103492","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.2013.6688048
J. Hazra, Sambuddha Roy, Zainul Charbiwala, D. Seetharam, Yogish Sabharwal, S. A. Husain, S. Mathew
Energy storage technologies that are connected to medium- or low-voltage distribution systems are referred to as Distributed Energy Storage (DES). DES are becoming more common as the storage technologies are becoming cheaper. Energy stored on the distribution system, whether it is generated by Distributed Generation (DG) or central generation units, could provide crucial services (such as load leveling, automatic generation control, smoothing fluctuations in intermittent sources, etc) to electricity suppliers. The need of the hour is to effectively utilize these distributed storage devices so as to lower operating costs while offering aforementioned services. In contemporary literature, while DES have been considered, they could only be charged/discharged from/to the grid. The current work marks a significant departure with the goal of allowing storage devices to charge each other. Such battery-to-battery energy transfer is useful for instance in scenarios when generators cannot be run for certain reasons, or that it might cause too much load on the network, if the storage devices were to be charged directly from the power grid. Simulation results on a 30-bus IEEE benchmark system validate the benefits of inter-storage charge transfers.
{"title":"Energy delivery networks","authors":"J. Hazra, Sambuddha Roy, Zainul Charbiwala, D. Seetharam, Yogish Sabharwal, S. A. Husain, S. Mathew","doi":"10.1109/SmartGridComm.2013.6688048","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6688048","url":null,"abstract":"Energy storage technologies that are connected to medium- or low-voltage distribution systems are referred to as Distributed Energy Storage (DES). DES are becoming more common as the storage technologies are becoming cheaper. Energy stored on the distribution system, whether it is generated by Distributed Generation (DG) or central generation units, could provide crucial services (such as load leveling, automatic generation control, smoothing fluctuations in intermittent sources, etc) to electricity suppliers. The need of the hour is to effectively utilize these distributed storage devices so as to lower operating costs while offering aforementioned services. In contemporary literature, while DES have been considered, they could only be charged/discharged from/to the grid. The current work marks a significant departure with the goal of allowing storage devices to charge each other. Such battery-to-battery energy transfer is useful for instance in scenarios when generators cannot be run for certain reasons, or that it might cause too much load on the network, if the storage devices were to be charged directly from the power grid. Simulation results on a 30-bus IEEE benchmark system validate the benefits of inter-storage charge transfers.","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":"125754860","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.2013.6687942
Jin Dong, Xiao Ma, S. Djouadi, Husheng Li, P. Kuruganti
This paper proposes a novel approach to predict power frequency by applying a state-space model to describe the time-varying nature of power systems. It introduces the Expectation maximization (EM) and prediction error minimization (PEM) algorithms to dynamically estimate the parameters of the model. In this paper, we discuss how the proposed models can be used to ensure the efficiency and reliability of power systems in Frequency Monitoring Network (FNET), if serious frequency fluctuation or measurement failure occur at some nodes; this is achieved without requiring the exact model of complex power systems. Our approach leads to an easy online implementation with high precision and short response time that are key to effective frequency control. We randomly pick a set of frequency data for one power station in FNET and use it to estimate and predict the power frequency based on past measurements. Several computer simulations are provided to evaluate the method. Numerical results showed that the proposed technique could achieve good performance regarding the frequency monitoring with very limited measurement input information.
{"title":"Real-time prediction of power system frequency in FNET: A state space approach","authors":"Jin Dong, Xiao Ma, S. Djouadi, Husheng Li, P. Kuruganti","doi":"10.1109/SmartGridComm.2013.6687942","DOIUrl":"https://doi.org/10.1109/SmartGridComm.2013.6687942","url":null,"abstract":"This paper proposes a novel approach to predict power frequency by applying a state-space model to describe the time-varying nature of power systems. It introduces the Expectation maximization (EM) and prediction error minimization (PEM) algorithms to dynamically estimate the parameters of the model. In this paper, we discuss how the proposed models can be used to ensure the efficiency and reliability of power systems in Frequency Monitoring Network (FNET), if serious frequency fluctuation or measurement failure occur at some nodes; this is achieved without requiring the exact model of complex power systems. Our approach leads to an easy online implementation with high precision and short response time that are key to effective frequency control. We randomly pick a set of frequency data for one power station in FNET and use it to estimate and predict the power frequency based on past measurements. Several computer simulations are provided to evaluate the method. Numerical results showed that the proposed technique could achieve good performance regarding the frequency monitoring with very limited measurement input information.","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":"127168918","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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