Abstract
This paper presents a new strategy based on Multi-stage Fuzzy (MSF) PID controller for damping Power System Stabilizer (PSS) in multi-machine environment using Modified Shuffled Frog Leaping (MSFL) algorithm. The proposed technique is a new meta-heuristic algorithm which is inspired by mating procedure of the honey bee. Actually, the mentioned algorithm is used recently in power systems which demonstrate the good reflex of this algorithm. Also, finding the parameters of PID controller in power system has direct effect for damping oscillation. Hence, to reduce the design effort and find a better fuzzy system control, the parameters of proposed controller is obtained by MSFL 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 other techniques through ITAE and FD.
Highlights
In the last few decades, considerable attention has been given to the excitation system and its role in improving power system stability
Multi-stage Fuzzy Controller According to the backwards of the classic Proportional Integral Derivative (PID), this paper proposed the multi-stage fuzzy controller to LFC problem
In this paper, a new multi-stage fuzzy controller is proposed to damp the power system oscillation in multi-machine environment to provide the stability of the power system in low frequency oscillation problem
Summary
In the last few decades, considerable attention has been given to the excitation system and its role in improving power system stability. A Proportional Integral Derivative (PID) method is one of the techniques that used to improve the performance of the fuzzy PI controller [6].
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