Nsga2Algorithm And Its Application In Optimizing Power System Stablizers Parameters

The power system will be incurred with low-frequency vibration, When it is disturbed under the lack of sufficient damping. The main method has always been installed the power system stabilizer to reduce low frequency oscillation. However, to confirming the parameters will often involve multiple design objectives. Thus it is badly in need of introducing a multi-objective evolutionary algorithm to optimize the design parametersA research is focused on the basic principle and the implementation program of the NSGA2, firstly,the effectiveness is verified by compared with the standard test function. Then, deduced a linear power system model from a single machine infinite bus system. Finally made it extend to the multi-machine system.On the basis of PSS operating principle, it put forward the Multi-objective optimization mathematical model using NSGA2algorithm to optimize the design parameters. Then tested the PSS optimized time-domain simulation and analyzed its eigenvalue in single machine infinite bus system and four-region system. The results showed that PSS controller designed with this algorithm can effectively damps power system low frequency oscillation. In the same time, compared with the PSS controller designed by NSGA2algorithm and by the traditional genetic algorithm, results showed the former plays better.Be based on the NSGA2algorithm, this paper improved NSGA2algorithm with Fuzzy Optimization Model and put forward FONSGA2algorithm. Then optimized the design of the PSS with FONSGA2algorithm, and verified it in four planes regional system. The results showed that PSS controller designed with FONSGA2algorithm can effectively damps low frequency oscillation. Damping. In the same time, compared with the PSS controller designed by GA and NSGA2algorithm, results showed the former plays better.