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Research Article · Free to read · Published 28 February 2009

Visualization of Available Power Transfer Capability in a Transmission System Using Morphological Techniques

S. U. Prabha, B. S. Dayasagar & C. Venkataseshaiah

American Journal of Applied Sciences, Volume 6, Issue 2, pp. 247–250 · doi.org/10.3844/ajassp.2009.247.250

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Abstract

A morphological decimation technique has been proposed and implemented to analyze the available power transfer capability in a transmission power network. The method creates a graphical image of the power network with thickness of the lines proportional to their respective rated megavolt ampere (MVA) capacity. Based on ac load flow solution, another image was created to represent the power flow in Megawatt (MW) between the buses. Proper scaling procedure has been discussed for the construction of graphical images. The novelty of this research lies in the application of mathematical morphological techniques for decimating the created images. The image created for the MW capacities of the power lines were decimated into categories and grouped into different colors for better visualization. The multi-color image is superimposed on the input image which is created for the MVA capacity of the network. The proposed method has been tested on an IEEE test system. The results from the present approach can help the planner and operator in a power station, to get a better visualization of the power network. This is the first time this kind of multi-color visualization is presented and it can be used to find the optimal path for power transfer from one bus to another.

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Prabha, S. U., Dayasagar, B. S. & Venkataseshaiah, C. (2009). Visualization of Available Power Transfer Capability in a Transmission System Using Morphological Techniques . American Journal of Applied Sciences, 6(2), 247–250. https://doi.org/10.3844/ajassp.2009.247.250

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Visualization of Available Power Transfer Capability in a Transmission System Using Morphological TechniquesAmerican Journal of Applied Sciences · Volume 6, Issue 2 · pp. 247–250 · © Science PublicationsDownload