Advanced graphics zoom in on operations

Pottinger, Hardy J.; Schroeder, C.; Adapa, R.

doi:10.1109/67.207468

Cited by 19 publications

(6 citation statements)

References 2 publications

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“…Contouring is a classic visualization technique for continuous data, which can be applied to discrete data by interpolation. Techniques have been developed for contouring bus data (voltage, frequency, phase, local marginal prices), and of line data (load, power transfer distribution factors) [8,10,11]. Phase-angle data as measured directly via GPS-based sensors or semi-measured/calculated from existing sensors/state estimators may be used as an indicator of transient stability margin or via "energy" functions.…”

Section: Visualizationmentioning

confidence: 99%

DDDAS for Autonomic Interconnected Systems: The National Energy Infrastructure

Hoffmann

Swain

et al. 2007

Computational Science – ICCS 2007

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Abstract.The most critical element of the nation's energy infrastructure is our electricity generation, transmission, and distribution system known as the "power grid." Computer simulation is an effective tool that can be used to identify vulnerabilities and predict the system response for various contingencies. However, because the power grid is a very large-scale nonlinear system, such studies are presently conducted "open loop" using predicted loading conditions months in advance and, due to uncertainties in model parameters, the results do not provide grid operators with accurate "real time" information that can be used to avoid major blackouts such as were experienced on the East Coast in August of 2003. However, the paradigm of Dynamic Data-Driven Applications Systems (DDDAS) provides a fundamentally new framework to rethink the problem of power grid simulation. In DDDAS, simulations and field data become a symbiotic feedback control system and this is refreshingly different from conventional power grid simulation approaches in which data inputs are generally fixed when the simulation is launched. The objective of the research described herein was to utilize the paradigm of DDDAS to develop a marriage between sensing, visualization, and modelling for large-scale simulation with an immediate impact on the power grid. Our research has focused on methodological innovations and advances in sensor systems, mathematical algorithms, and power grid simulation, security, and visualization approaches necessary to achieve a meaningful large-scale real-time simulation that can have a significant impact on reducing the likelihood of major blackouts.

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Section: Visualizationmentioning

confidence: 99%

DDDAS for Autonomic Interconnected Systems: The National Energy Infrastructure

Hoffmann

Swain

et al. 2007

Computational Science – ICCS 2007

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“…The disadvantage of this display is that it not useful when one wants to examine the values at more than a handful of buses, say to find a patterns in the power system. In order to overcome this problem the use of contouring is presented [7], [12], [13].…”

Section: Contouring Bus Datamentioning

confidence: 99%

“…Several recent examples are described in [1]- [7]. This paper addresses several methods of visualization with the goal of power system analysts gain better insights into transmission system operation.…”

Section: Introductionmentioning

confidence: 99%

Visualization of power system data

Overbye

Weber

Proceedings of the 33rd Annual Hawaii International Conference on System Sciences

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“…An alternative for larger systems is to visualize the voltage magnitudes using a color contour [10], [11], [12], [13]. However a difficulty with using a color contour on a 2D display is it makes the display of other information difficult.…”

Section: Voltage and Reactive Power Visualizationmentioning

confidence: 99%

A virtual environment for interactive visualization of power system economic and security information

Overbye

Klump

Weber

199 IEEE Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.99CH36364)

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Simulation and analysis of power systems often involves modeling extremely complex systems. This is particularly true when the model involves not just the electrical power system, but also other networks layered on top of the power system, such as the accompanying financial transactions. Such layered networks can often involve interactions that are not at all obvious. Interactive visualization can be a very effective means for determining otherwise hidden relationships between various elements in the network. This paper describes a 3D virtual environment developed to allow users to interactively visualize such information and relationships. The paper describes the architecture used to develop this environment, and then provides several examples of how the environment is used to provide an interactive visualization of power system economic and security information.

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Advanced graphics zoom in on operations

Cited by 19 publications

References 2 publications

DDDAS for Autonomic Interconnected Systems: The National Energy Infrastructure

DDDAS for Autonomic Interconnected Systems: The National Energy Infrastructure

Visualization of power system data

A virtual environment for interactive visualization of power system economic and security information

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