Modified Invasive Weed Optimization based on Fuzzy PSS in Multi-machine Power System

摘要

In this paper a new Modified Invasive Weed Optimization is proposed to find a parameters of fuzzy PID controller as a stabilizer in multi-machine power system. Actually, IWO is a bio-inspired numerical algorithm which is inspired from weed colonization and motivated by a common phenomenon in agriculture that is colonization of invasive weeds. Also, finding the parameters of PID controller in power system has direct effect for damping oscillation. Thus, to reduce the design effort and find a better fuzzy system control, the parameters of proposed controller is obtained by MIWO that leads to design controller with simple structure that is easy to implement. The effectiveness of the proposed technique is applied to Single machine connected to Infinite Bus (SMIB) and IEEE 3-9 bus power system. The proposed technique is compared with some intelligent algorithms through ITAE and FD.