Artificial intelligence technique based reactive power planning using FVSI

Author

Vadivelu, K.R. ; Marutheswar, G.V.

Author_Institution

Electr. & Electron. Eng., Annamacharya Inst. of Technol. & Sci. Tirupati, Tirupati, India

fYear

2013

fDate

19-21 Dec. 2013

Firstpage

1

Lastpage

6

Abstract

This paper proposes an application of Fast Voltage Stability Index (FVSI) to Reactive Power Planning (RPP) using Artificial Intelligence Technique based Differential Evolution (DE). FVSI is used to identify the weak buses for the Reactive Power Planning problem which involves process of experimental by voltage stability analysis based on the load variation. The point at which Fast Voltage Stability Index close to unity indicates the maximum possible connected load and the bus with minimum connected load is identified as the weakest bus at the point of bifurcation. The proposed approach has been used in the IEEE 30-bus system. Results show considerable reduction in system losses and improvement of voltage stability with the use of Fast Voltage Stability Index for the Reactive Power Planning problem.

Keywords

artificial intelligence; power engineering computing; power system planning; stability; IEEE 30-bus system; artificial intelligence technique; differential evolution; fast voltage stability index; load variation; reactive power planning problem; voltage stability analysis; Equations; Generators; Planning; Power system stability; Reactive power; Stability analysis; Vectors; Differential Evolution; Fast Voltage Stability Index; Power systems; Reactive Power Planning;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computing and Communication Systems (ICACCS), 2013 International Conference on

Conference_Location

Coimbatore

Type

conf

DOI

10.1109/ICACCS.2013.6938726

Filename

6938726