Power System Stabilizer Parameters Optimization Using Immune Genetic Algorithm

2018 5th International Conference on Advanced Composite Materials and Manufacturing Engineering

Peng, Shan^1 ; Wang, Qingzi^1

School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan

430074, China^1

关键词: Immune genetic algorithms;    Optimal parameter;    Parameters optimization;    Power System Stabilizer;    Power system stabilizer (PSS);    Single-machine infinite-bus power systems;    Stability of power system;    Traditional genetic algorithms;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/394/4/042091/pdf
DOI  :  10.1088/1757-899X/394/4/042091

来源: IOP

【 摘 要 】

In the past few decades, the power system stabilizer (PSS) is widely used as the most efficient and economical measure to suppress the low frequency oscilation. The optimal parameters of PSS is of great significance for improving the stability of power system. This paper uses immune genetic algorithm to optimize the PSS parameters of a single machine infinite bus power system (SMIB). The result shows that the immune genetic algorithm is superior to the traditional genetic algorithm in restraining the damp oscillations caused by disturbance.