State estimation distributed processing [for power systems]

Ebrahimian, R.; Baldick, Ross

doi:10.1109/59.898096

Cited by 126 publications

(47 citation statements)

References 12 publications

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“…This is another reason for providing a general purpose computing node, instead of specialized services. One example is distributed state estimation [16]. Distributed state estimation would allow for more data points to be considered in the state-estimation, providing a more complete picture or a wider area picture, and do so in the same or less time than the centralized version.…”

Section: Distributed Computingmentioning

confidence: 98%

Exploring a tiered architecture for NASPInet

Bobba

Heine

Khurana

et al. 2010

2010 Innovative Smart Grid Technologies (ISGT)

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One of the missions of the North American SynchroPhasor Initiative (NASPI) is to create a robust, widely available and secure synchronized data measurement infrastructure, called the NASPI network or NASPInet. Leveraging the Phasor Measurement Unit (PMU), a GPS clock synchronized measurement device capable of measuring the current and voltage phasors in the power grid, NASPI will improve reliability of the power grid with NASPInet providing data delivery. While a conceptual architecture of NASPInet and its functional requirements have been developed, in this work we address the challenge of designing a deployable architecture that can realize NASPInet on a continental scale. To do so, we explore a tiered architecture for NASPInet and analyze its impact on the Quality of Service (QoS), cyber security and network management services. Furthermore, we discuss the distributed computing opportunities afforded by our architecture.

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Section: Distributed Computingmentioning

confidence: 98%

Exploring a tiered architecture for NASPInet

Bobba

Heine

Khurana

et al. 2010

2010 Innovative Smart Grid Technologies (ISGT)

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“…These techniques have been applied in many study cases, among them: multiarea optimal power flow control [16,17,30,31], multiarea decentralized state-estimation [32][33][34][35], decentralized power flow optimization [36], distributed control of energy hubs [37][38][39][40], economic power dispatch [41][42][43], voltage control [44][45][46], and optimal reactive power flow [1]. The OCD exhibits the most efficient computational behavior in many cases [17,47].…”

Section: Introductionmentioning

confidence: 99%

Methodology for multiarea state estimation solved by a decomposition method

Gonzalez

Ramı́rez

Marmolejo

et al. 2015

Electric Power Systems Research

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“…Then the constrained minimization problem is solved by the Lagrange multiplier method [10]. In reference [11], the authors are proposed a decentralized SE method, where local estimator are estimated system states by each subregion considering that the border measurements are belonged to the specific local region. Finally, the central coordinator coordinates all local estimators as well.…”

Section: Introductionmentioning

confidence: 99%

Kalman Filter Based Microgrid State Estimation Using the Internet of Things Communication Network

Rana

2015

2015 12th International Conference on Information Technology - New Generations

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Recently, the smart grid is expected to modernize the current electricity grid by commencing a new set of technologies and services that make the electricity networks secure, automated controlled, cooperative and sustainable. Consequently, the smart control centre feels the requirement of a robust and scalable technique for state estimation (SE) that allows continuous and accurate wide-area real-time monitoring of power system operation and customer utilization of smart grid. This paper proposes a Kalman filter (KF) based microgrid SE using the internet of things (IoT) communication network under two different sensing scenarios. Particularly, the observation from the multiple distributed energy resources (DERs) information is obtained by a set of sensors, which is transmitted to a control center via the IoT communication network. In this control center, the information is fed to a state estimator program for estimating the states of the multiple DERs. Finally, the simulation results show that the proposed KF based microgrid SE is able to estimate the system states properly in all scenarios. Results indicate that it is better to use the same number of sensors as that of states for properly estimating the DERs states using the IoT communication network.

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State estimation distributed processing [for power systems]

Cited by 126 publications

References 12 publications

Exploring a tiered architecture for NASPInet

Exploring a tiered architecture for NASPInet

Methodology for multiarea state estimation solved by a decomposition method

Kalman Filter Based Microgrid State Estimation Using the Internet of Things Communication Network

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