Voltage stability improvement by multi-objective placement of SVC using modified artificial immune network algorithm

Author

Khaleghi, Milad ; Farsangi, Malihe M. ; Nezamabadi-Pour, Hossein ; Lee, Kwang Y.

Author_Institution

Shahid Bahonar Univ. of Kerman, Kerman, Iran

fYear

2009

Firstpage

1

Lastpage

7

Abstract

In this paper, a modified artificial immune network algorithm (MAINetA) is used for placement of static VAr compensators (SVC) in a large-scale power system to improve voltage stability. To enhance voltage stability, the planning problem is formulated as a multiobjective optimization problem for maximizing fuzzy performance indices for bus voltage deviation, system loss and the installation cost. The multi-objective placement problem is solved by the fuzzy MAINetA and the results are compared with those obtained by the real immune algorithm (RIA).

Keywords

fuzzy set theory; optimisation; static VAr compensators; SVC; bus voltage deviation; fuzzy performance indices; modified artificial immune network algorithm; multiobjective optimization problem; multiobjective placement; real immune algorithm; static VAr compensators; voltage stability improvement; Bones; Cost function; Fuzzy systems; Immune system; Performance loss; Power system planning; Power system stability; Reactive power; Static VAr compensators; Voltage; Real immune algorithm; SVC placement; artificial immune network algorithm; voltage stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Power & Energy Society General Meeting, 2009. PES '09. IEEE

Conference_Location

Calgary, AB

ISSN

1944-9925

Print_ISBN

978-1-4244-4241-6

Type

conf

DOI

10.1109/PES.2009.5275465

Filename

5275465