Tuning fuzzy power-system stabilizers in multi-machine systems by global optimization algorithms based on efficient domain partitions
- 作者：D.E. Kvasov ; D. Menniti ; A. Pinnarelli ; Y.D. Sergeyev ; N. Sorrentino
- 关键词：Fuzzy control ; Tuning ; PSS ; Optimization method ; Genetic algorithm ; Partitioning Algorithm
- 刊名：Electric Power Systems Research
- 出版年：2008
- 期刊代码：49_03787796
- 类别：et
- 出版时间：July 2008
- 卷：78
- 期：7
- 页码：1217-1229
- 文件大小：1674 K
摘要
In this paper, the problem of global tuning of fuzzy power-system stabilizers (FPSSs) present in a multi-machine power system in order to damp the power system oscillations is considered. In particular, it is formulated as a problem of global minimization of a multiextremal black-box function over a multidimensional hyperinterval. A global optimization technique, recently proposed, is used for solving the stated problem: the search hyperinterval is partitioned into smaller hyperintervals and the objective function is evaluated only at two vertices corresponding to the main diagonal of the generated hyperintervals, thus avoiding unnecessary ponderous simulations. Then, the performances of this technique are numerically compared with ones of a genetic algorithm (GA).