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

M. V. Odintsov, K. Gerasimenko, D. Akimov
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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.
多目标优化方法在提高电力系统静态稳定性中的应用
本文的目的是检测多目标优化方法在提高电力系统振荡稳定性方面的优势。针对57节点的发电机组IEEE测试方案,研究了自动电压调节器(AVR)放大系数选择问题。利用矢量准则和多目标优化的特殊遗传算法对AVR的设置进行选择。并与实际电力系统条件下常用的AVR整定原则进行了比较。
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