Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
381249 | Engineering Applications of Artificial Intelligence | 2008 | 6 Pages |
Abstract
This paper proposes a sensitivity-based methodology for voltage stability enhancement of a power system by rescheduling real power outputs of the participating generators. An enhanced radial basis function network (RBFN) is used to compute the sensitivities of the voltage stability margin with respect to the generator outputs. The sensitivities are used in formulating the linearized voltage stability constraints in the optimization procedure. Optimum generator outputs are determined to enhance voltage stability margin for multiple contingencies. Case studies are presented to illustrate the effectiveness of the proposed method.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
S. Chakrabarti, B. Jeyasurya,