抄録
This paper presents an incorporated use of an intelligent method using a micro-genetic algorithm (micro-GA), hierarchical genetic algorithm (HGA), and an analytical method so called a minimum phase control for an off-line power system stabilizer (PSS) tuning in multimachine power systems. First, the problem of selecting proper PSS parameters is converted to a simple optimization problem. Then, the problem will be solved by a micro-GA with a small population and reinitialization process. HGA is also adopted in the encoding process of a micro-GA for the purpose of self-identifying the appropriate choice of PSS locations. Experiences have shown that the time consumed by GA can be hastened if a few legal solutions are used in the GA initialized process. In this paper, a reasonable choice of initial solutions is obtained by a minimum phase control method. These added features provide a considerably improvement of time efficiency and flexibility in PSS tuning of large-scale power sys-tems. A 68-bus and 16-generator system which is complex enough and close to realistic power systems has been used as an ex-ample to validate the effectiveness of the proposed tuning approach. Keywords: power system stabilizer, minimum phase control, genetic algorithm, micro-genetic algorithm, hierarchical genetic algorithm, simultaneous tuning
