A New Cascade Fuzzy Power System Stabilizer for Multi-machine System Stability Enhancement

Abstract

This paper introduces a new robust controller with cascaded fuzzy blocks as a power system stabilizer (CFPSS) to enhance damping during low-frequency oscillations. This CFPSS is designed to act as a nonlinear lead-lag PSS with a given number of compensation blocks. To demonstrate the efficiency and the robustness of this proposed stabilizer, simulation results performed on the IEEE three-generator nine-bus multi-machine power system subjected to a three-phase short-circuit fault have been carried out. The parameters of the proposed PSS and those of the conventional IEEE linear lead-lag PSS have been tuned by a recently developed optimization technique (krill herd algorithm). The robustness of this novel CFPSS is proved, by optimizing the parameters of the two PSSs for one operating point (normally loaded system) and applying them to other operating points (case of heavy and low loads) with some key parameters variation. The obtained results have shown the superiority and the robustness of the CFPSS comparatively to the conventional IEEE lead-lag PSS in terms of oscillations damping over a wide range of operating conditions and against parametric variation. The same conclusions have been drawn in the case of a large power system (IEEE 16-machine, 68-bus test system) characterized by its local and inter-area oscillations modes.

Multi objective design of type II fuzzy based power system stabilizer for power system with wind farm turbine considering uncertainty

“…15 In many references, fuzzy controls are used as a power system stabilizer. 16,17 The performances of fuzzy controllers are strongly dependent on the design of their membership functions. Therefore, various methods such as intelligent algorithms have been used for the design of fuzzy stabilizers.…”

“…The fuzzy controllers are the proper control method for nonlinear systems such as power systems . In many references, fuzzy controls are used as a power system stabilizer . The performances of fuzzy controllers are strongly dependent on the design of their membership functions.…”

A Recent Review on Approaches to Design Power System Stabilizers: Status, Challenges and Future Scope

“…In [126], PSS-based conventional FL-PID and type-1-FL controller has been designed to improve the stability of SMIB and MMPS under various loading conditions. In [127], a FL-PSS-based krill herd algorithm (KHA) to dampen LFO has been proposed.…”

Control constraint‐based optimal PID‐PSS design for a widespread operating power system using SAR algorithm

“…39 The robust proportional, integral, and derivative (PID)-PSS 40 presents the robust stability conditions developed for an OMIB power system, and the Fmincon toolbox in MATLAB is used to obtain the solution. The wide-area damping controller 41 is designed for a power system consisting of wind farms and superconducting magnetic energy storage (SMES), whereas the cascaded fuzzy PSS 42 employs a krill herd algorithm to find the PSS gain and time constants of a multi-machine system. The lead-lag PSS 43 applies the phase compensation method to determine the gain and time constants of a compensator of an OMIB power system.…”