Title :
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
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;
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
DOI :
10.1109/EIConRusNW.2015.7102272
