Damping of low-frequency oscillations and improving power system stability via auto-tuned PI stabilizer using Takagi–Sugeno fuzzy logic

This paper proposes a Takagi–Sugeno (TS) fuzzy gain-scheduling PI stabilizer to damp the power system low-frequency oscillations and enhance power system stability. The work describes the construction of appropriate fuzzy membership functions and rules for a Power System Stabilizer (PSS) so that its proportional and integral gains can be automatically tuned in real-time to react to changes in the system operating conditions. To find the optimal number and locations of required stabilizers, this paper uses the participation factor method. Simulation results on a practical power system demonstrate that the proposed stabilizer is effective in damping low-frequency oscillations as well as improving system dynamic stability and voltage profile. In addition, the proposed approach provides superior performance when compared to a conventional PI PSS.

► We present a fuzzy gain-scheduling PI stabilizer to damp low-frequency oscillations.
► Participation factor is used to determine the number and location of the PSSs.
► PI gains are auto-tuned in real-time by building appropriate fuzzy rules.
► Stabilizer is tested on practical system under various operating conditions.
► The proposed approach has superior performance compared to a conventional PI PSS.