Article ID Journal Published Year Pages File Type
398215 International Journal of Electrical Power & Energy Systems 2016 8 Pages PDF
Abstract

•Statistical models are able to infer about voltage collapse proximity.•The method is applied to IEEE 14-bus system and the 190-buses Mexican equivalent.•The method provides a voltage collapse proximity measure under on-line context.•A strategy that permit a voltage collapse proximity estimation is proposed.

This paper is aimed to propose a reliable method for estimating the voltage collapse proximity through a model obtained using statistical techniques. In the model building process a database is required, therefore the Voltage Collapse Proximity Index (VCPI) is used to obtain previous readings for different contingencies and loading conditions. This analytical proposal could be combined with existing equipment in the power system control centers for future on-line applications. The proposed method is applied to the IEEE 14-bus test system and the 190-bus Mexican equivalent. Results indicate that the proposed strategy is a reliable choice.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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