Application of multiobjective optimization methods for improving of power system static stability

Author

Odintsov, M.V. ; Gerasimenko, K.V. ; Akimov, D.A.

Author_Institution

Dept. of Design & Dev. of Energy Syst., Joint Stock Co. "Sci. & Tech. Center of Unified Power Syst.", St. Petersburg, Russia

fYear

2015

fDate

2-4 Feb. 2015

Firstpage

251

Lastpage

253

Abstract

The aim of the article is the detection of advantages of multiobjective optimization methods for improving of power system oscillatory stability. The problem of automatic voltage regulator (AVR) amplification coefficients choice is considered for 57-node IEEE test scheme for the group of generators. The AVR settings choice is performed with use of vector criterion and special genetic algorithm of multiobjective optimization. The comparison of the results, which were got with use of the most common AVR settings choice principles in the conditions of real power systems, is made.

Keywords

genetic algorithms; power system stability; voltage regulators; 57-node IEEE test scheme; AVR; amplification coefficients; automatic voltage regulator; genetic algorithm; multiobjective optimization; power system oscillatory stability; power system static stability; Damping; Genetics; Optimization; Power systems; Regulators; electric power system; multi-criterion optimization; quality vector criterion;

fLanguage

English

Publisher

ieee

Conference_Titel

Young Researchers in Electrical and Electronic Engineering Conference (EIConRusNW), 2015 IEEE NW Russia

Conference_Location

St. Petersburg

Print_ISBN

978-1-4799-7305-7

Type

conf

DOI

10.1109/EIConRusNW.2015.7102272

Filename

7102272