Power system stabilizer design using hybrid multi-objective particle swarm optimization with chaos |
| |
Authors: | Mahdiyeh Eslami Hussain Shareef and Azah Mohamed |
| |
Affiliation: | Mahdiyeh Eslami1,Hussain Shareef2,Azah Mohamed2 1.Electrical Engineering Department,Islamic Azad University (SRBIAU),Hesarak,Tehran,Iran,2.Electrical,Electronic and Systems Engineering Department,University Kebangsaan Malaysia,Bangi,43600,Selangor,Malaysia |
| |
Abstract: | novel technique for the optimal tuning of power system stabilizer (PSS) was proposed, by integrating the modified particle
swarm optimization (MPSO) with the chaos (MPSOC). Firstly, a modification in the particle swarm optimization (PSO) was made
by introducing passive congregation (PC). It helps each swarm member in receiving a multitude of information from other members
and thus decreases the possibility of a failed attempt at detection or a meaningless search. Secondly, the MPSO and chaos
were hybridized (MPSOC) to improve the global searching capability and prevent the premature convergence due to local minima.
The robustness of the proposed PSS tuning technique was verified on a multi-machine power system under different operating
conditions. The performance of the proposed MPSOC was compared to the MPSO, PSO and GA through eigenvalue analysis, nonlinear
time-domain simulation and statistical tests. Eigenvalue analysis shows acceptable damping of the low-frequency modes and
time domain simulations also show that the oscillations of synchronous machines can be rapidly damped for power systems with
the proposed PSSs. The results show that the presented algorithm has a faster convergence rate with higher degree of accuracy
than the GA, PSO and MPSO. |
| |
Keywords: | passive congregation chaos power system stabilizer penalty function particle swarm optimization |
本文献已被 CNKI 维普 SpringerLink 等数据库收录! |
|